WO2016103269A1 - Populations of neural progenitor cells and methods of producing and using same - Google Patents

Populations of neural progenitor cells and methods of producing and using same Download PDF

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WO2016103269A1
WO2016103269A1 PCT/IL2015/051253 IL2015051253W WO2016103269A1 WO 2016103269 A1 WO2016103269 A1 WO 2016103269A1 IL 2015051253 W IL2015051253 W IL 2015051253W WO 2016103269 A1 WO2016103269 A1 WO 2016103269A1
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cells
hes5
gene
radial glial
isolated population
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WO2016103269A8 (en
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Yechiel ELKABETZ
Reuven EDRI
Yakey YAFFE
Alexander Meissner
Michel J. ZILLER
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Ramot At Tel-Aviv University Ltd.
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Definitions

  • the present invention in some embodiments thereof, relates to populations of neural progenitor cells and methods of producing and using same.
  • NSCs neural stem cells
  • CNS central nervous system
  • PSCs pluripotent stem cells
  • R-NSCs rosette-neural stem cells
  • the present inventors have previously isolated an early progenitor cell type from PSCs that exhibits considerable self-renewal capacity (termed rosette-neural stem cells (R-NSCs)), and showed their developmental potential and distinct molecular signature [Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)].
  • R-NSC stage exhibits high heterogeneity with respect to NSC potential and corresponds to a transient stage in vitro.
  • a method of isolating neural progenitor cells comprising:
  • an isolated population of cells comprising at least 10 % HES5+ cells, wherein the HES5+ cells are:
  • E-RG early radial glial
  • LNP long term neural progenitor
  • an isolated population of cells comprising at least 10 % HES5- cells, wherein the HES5- cells are:
  • non-CNS cells comprising neural crest cells, placodal cells, non- neuroepithelial cells; and CNS cells which exhibit an NEUROD4+/NGN1+/NGN2+/TBR2+/DCX+ expression signature and which form neurons of layers 1 and 6 of the brain cortex;
  • neural progenitor cells which belong to the CNS, having a lower proliferative capacity as compared to the HES5+ ERG cells, which form layers 1 , 5 and 6 of the brain cortex;
  • intermediate progenitor cells which belong to the CNS, and which are capable of differentiating into the neurons forming layers 4, and 2 of the brain cortex;
  • HES5- neurons and astrocytes wherein the neurons form layers 2, 4 and 3 of the brain cortex; or (v) neurons, oligodendrocyte and astrocytes, wherein the neurons comprise neurons reaching the olfactory bulb.
  • a culture medium for neuroepithelial differentiation comprising noggin, LDN- 193189and SB-431542.
  • the isolated population of cells of some embodiments of the invention further comprising HES5+ neuroepithelial (HE) cells.
  • HE neuroepithelial
  • the HES5+ NE cells are capable of differentiating into HES5+ E-RG cells and into HES5- central nervous system cells neurons.
  • the HES5+ E-RG cells are capable of differentiating into the HES5+ M-RG cells and into HES5- neural progenitor cells.
  • the HES5+ M-RG cells are capable of differentiating into the HES5+ L-RG cells and into HES5- intermediate progenitor cells (INPs).
  • the HES5+ L-RG cells are capable of differentiating into the HES5+ LNP cells and into HES5- neurons and astrocytes.
  • the HES5+ LNP cells which comprise HES5+ adult neural stem cells (aNSCs) and into HES5- neurons, oligodendrocyte and astrocytes.
  • aNSCs HES5+ adult neural stem cells
  • the HES5+ neuroepithelial cells exhibit an HES5+/SOXl+/PAX6+/SOX2+/Nestin+ expression signature.
  • the HES5+ neuroepithelial cells further exhibit a CDC6+/CDX1+/CENPH+/TOP2A+ expression signature.
  • the HES5+ neuroepithelial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: TOP2A, HIS Tl EMC, TRIM71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1, FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LIMS1, CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1, CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM126A, MAGT1, CDC6, C60RF211, RFC5, PSMD1, HMMR, UNG,
  • the culture conditions suitable for differentiation the PSCs into neural cell lineage comprise a culture medium which comprises Noggin, SB-431542 and LDN-193189.
  • the early radial glial cells exhibit an PAX6+/SOXl+/SOX2+/Nestin+ expression signature.
  • the early radial glial cells further exhibit an HES 5+/ARX+/FEZF2+/NR2E 1 + expression signature.
  • the HES 5+ early radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: NR2E1 , HES 5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, FAM107A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1, LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZ1, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7, SMOC1, TBC1D9, FAT4, SCUBE3, FUT8, CSPG5, DLL
  • the HES5+ mid radial glial cells further exhibit an GLAST+/FABP7+ expression signature.
  • the HES5+ mid radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RAB10, WASF1, ZBED4, EZH2, PPA2, HIFO, CCNJ, ITGB8, SH3BGRL3, IRX2, KIF23, PEGIO, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAP1, LIMCH1, ETNK1, RNF13, ARID1B, TRIM28, CNOT8, CRNDE, TWSG1, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRK1, TRIM41, SATB1, HOMER 1, CCNG1, ATF2, AP1AR, GABPA, STXBP3, S
  • the HES5+ late radial glial cells exhibit an HES5+/OLIG1+/PDGFRA+ expression signature.
  • the HES5+ late radial glial cells further exhibit an CUX1+/CUX2+/POU3F2+ expression signature.
  • the HES5+ late radial glial cells further exhibit an S100B+/EGFR+ expression signature.
  • the HES5+ late radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1, PDGFRA, COL22A1, KIAA1239, PCDH10, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COL11A1, TREM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHDl, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51 , CHST3, PAG1, MY05C, CACNB2, NDRG2, ST3GAL5, TPD52L1, TRIB1, PRK
  • the HES5+ long term neural progenitor cells exhibit an HES5+/ANXA2+/LGALS1+ expression signature.
  • the HES5+ long term neural progenitor cells further exhibit EGFR+/ S100B+ expression signature.
  • the HES5+ long term neural progenitor cells are characterized by a higher expression level of at least one gene selected from the group consisting of: ANXA2P2, ANXA2, FRASl, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSFIOD, S100A6, RNF182, LGALS1, ISLl, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAGl , MMD, PTGR1, PDP1, COL18A1, ZIC4, BASP1 , AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21, and FAM38A as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ late radial glial cells under culture conditions suitable for differentiation the H
  • the HES5+ cells are neuroepithelial cells (NE) which constitute at least about 80 % of the isolated population of cells.
  • NE neuroepithelial cells
  • the HES5+ cells are early radial glial cells (E-RG) which constitute at least about 70-80 % of the isolated population of cells.
  • E-RG early radial glial cells
  • the HES5+ cells are mid radial glial cells (M-RG) which constitute at least about 30 % of the isolated population of cells.
  • the HES5+ cells are late radial glial cells (L-RG) which constitute at least about 10-15 % of the isolated population of cells.
  • the HES5+ cells are long term neural progenitors (LNP); which constitute at least about 7-10 % of the isolated population of cells.
  • the HES5+ cells are genetically modified.
  • the cells are human cells. According to some embodiments of the invention, the cells are derived from a subject having a CNS disease or disorder.
  • the cells having been subjected to an ex-vivo differentiation protocol.
  • the HES5+ neuroepithelial (NE) cells are capable of differentiating into E-RG, M-RG, L-RG and LNP cells.
  • the HES5+ early radial glial (E-RG) cells are capable of differentiating into M-RG, L-RG and LNP cells.
  • (M-RG) cells are capable of differentiating into L-RG and LNP cells.
  • the HES5+ late radial glial (L-RG) cells are capable of differentiating into LNP cells.
  • the isolated population of cells of some embodiments of the invention is for use in the treatment of a CNS disease or disorder.
  • the successive isolation comprises at least two isolation steps following at least two culturing steps, wherein a first isolation of the at least two isolation steps is effected up to 12 days of a first culturing of the at least two culturing steps, and wherein a second isolation of the at least two isolation steps is effected up to 5 days of a second culturing of the at least two culturing steps.
  • the successive isolation comprises at least three isolation steps following at least three culturing steps, wherein a third isolation of the at least three isolation steps is effected up to 21 days of a third culturing of the at least three culturing steps.
  • the successive isolation comprises at least four isolation steps following at least four culturing steps, wherein a fourth isolation of the at least four isolation steps is effected up to 45 days of a fourth culturing of the at least four culturing steps.
  • the successive isolation comprises at least five isolation steps following at least five culturing steps, wherein a fifth isolation of the at least five isolation steps is effected up to 140 days of a fifth culturing of the at least five culturing steps.
  • the first isolation results in a population of cells comprising HES5+ neuroepithelial cells.
  • the second isolation results in a population of cells comprising HES5+ early radial glial cells.
  • the third isolation results in a population of cells comprising HES5+ mid radial glial cells.
  • the fourth isolation results in a population of cells comprising HES5+ late radial glial cells.
  • the fifth isolation results in a population of cells comprising HES5+ long term neural progenitor cells.
  • the first culturing is performed on an extracellular matrix or a feeder cell layer.
  • the first culturing is performed in the presence of a culture medium which comprises Noggin, SB-431542 and LDN-193189.
  • the second culturing is performed on an extracellular matrix.
  • the second culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 8 (FGF8) and brain-derived neurotrophic factor (BDNF).
  • FGF8 fibroblast growth factor 8
  • BDNF brain-derived neurotrophic factor
  • the third culturing is performed on an extracellular matrix.
  • the third culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
  • FGF2 fibroblast growth factor 2
  • EGF epidermal growth factor
  • the fourth culturing is performed on an extracellular matrix.
  • the fourth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
  • FGF2 fibroblast growth factor 2
  • EGF epidermal growth factor
  • the fifth culturing is performed on an extracellular matrix.
  • the fifth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
  • FGF2 fibroblast growth factor 2
  • EGF epidermal growth factor
  • the method of isolating neural progenitor cells further comprising qualifying presence of a neural progenitor cell of interest according to at least one marker comprised in an expression signature of the neural progenitor cells, wherein:
  • an expression signature of HES5+ neuroepithelial cells comprises HES5+/SOX l+/PAX6+/SOX2+/Nestin+/CDC6+/CDX 1+/CENPH+/TOP2A+;
  • an expression signature of HES5+ early radial glial cells comprises
  • an expression signature of HES5+ mid radial glial cells comprises HES5+/POU3F2+/GLAST+/FABP7+;
  • an expression signature of HES5+ late radial glial cells comprise HES5+/OLIG1+/PDGFRA+/CUX1+/CUX2+/POU3F2+/S 100B+/EGFR+;
  • an expression signature of HES5+ long term neural progenitor cells comprise HES5+/ANXA2+/LGALS 1+/EGFR+/ S 100B+.
  • the method further comprising qualifying presence of a neural progenitor cell of interest according to epigenetic analysis functional phenotype and/or morphological phenotype.
  • the stem cells are derived from a subject having a CNS disease or disorder.
  • the CNS disease or disorder comprises a motor-neuron disease.
  • the CNS disease or disorder is characterized by cortex damage.
  • the culture medium further comprising sonic hedgehog.
  • the HES5- cells of (i) are characterized by a higher expression level of at least one gene selected from the group consisting of: LHX1, CNTN2, ST18, EBF3, NFASC, FSTL5, ONECUT2, SLC17A6, EBF1, SLIT1, SYT4, NEFM, NEUROD1, PARM1, CHN2, DNER, HMP19, TFAP2B, DCX, KLHL35, PAPPA, OLFM1, NHLH1, RTN1, GAP43, GFRA1, CHL1, FNDC5, SCN3A, NPTX2, EOMES, CADPS, NHLH2, TMEM163, STMN3, LRRN3, NEFL, ROB02, INA, PHLDA1 , GRIA1, GRIA2, DCLKl, CRABPl, OLIG2, SCG3, TMEM158, FBXL16, F AM 123 A, SYP, KIF21B, PCDH9, CDKN1C
  • the HES5- cells of (ii) are characterized by a higher expression level of at least one gene selected from the group consisting of: GREM1, COL3A1, PCDH8, SEMA3C, BMP4, NID2, TNC, COL1A2, ANKRD1, ANXA1, TMEFF2, PDZRN3, ANXA3, KRT8, LEPRELl, NOX4, LAMB 1, FLNC, FST, IMMP2L, S100A4, GDF15, PHACTR2, METTL7A, MAMDC2, DDIT4, BCHE, OCIAD2, TNFRSF10D, BBS9, ELOVL2, TUBA1C, CHST7, RBM47, TFPI, NEBL and LHFP as compared to the expression level of the at least one gene in HES5+ early radial glial cells.
  • the HES5- cells of (iii) are characterized by a higher expression level of the ACSS1 gene as compared to the expression level of the gene in HES5+ mid radial glial cells.
  • the HES5- cells of (iv) are characterized by a higher expression level of at least one gene selected from the group consisting of: THBS1, KLHL4, A2M, EN2, SLC6A6, ACTA2, ST6GAL1, SLC7A8, GRM3, FAM65B, CALB1, MYLK, TNNT1, PTX3, MFAP2 and HMGA2 as compared to the expression level of the at least one gene in HES5+ late radial glial cells.
  • the HESS- cells of (v) are characterized by a higher expression level of at least one gene selected from the group consisting of: FBN2, NELL2, KALI, PCDHB5, ST8SIA4, DCN, SLC6A1, CADM2, BCL11A, DDB2, ANXA11, PAK1, ID3, IGF2BP1, ANK3, ZEB2 and CREB5 as compared to the expression level of the at least one gene in HES5+ long term neural progenitor cells.
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEFl, POU3F2, SOX8, SOX21, TEAD1, NFATCl, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSX1, RFX1, NR4A2, MEIS2, SOX15, STAT5B, SATBl , RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRX1, STAT1, POU3F1, FOXB1, CTNNB1, PBXl , ZNF143, NFATCl, SOX21, TCF7L1 ,
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl , SMAD4, CTF1 , SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBF1, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NR2F1, MZF1, ESRRA, TFCP2, NR2F1, ESRRA, TER
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFXl , TGIFl , ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl, TCF4, MZF1, STAT1, MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEF1, NFYC, MAFF, ZNF263, YYl , POU3F3, TGIF1, STAT3, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4,
  • FIGs. 1A-C depict a schematic illustration and microscopy images showing that notch activation links major neural lineage transitions in hESC derived neural stem and progenitor cells.
  • NE neuroepithelial
  • E-RG early radial glial
  • M-RG mid-radial glial
  • L-RG late radial glial
  • LNP long term cultured progenitors
  • Figure 1B Bright field microscopy of progenitor cells during long-term differentiation shows dynamic morphological features. Scale bar: 50 ⁇ (valid for all images in Figure IB). GFP (green fluorescent protein) matched images can be seen in Figure 8A.
  • Figure 1C - PAX6, SOX1 and HES5 induction during early stages See also Figures 8A-B for HES5::eGFP percentages).
  • FIG. 1D SOX1 expression and DAPI nuclear counterstaining
  • FIG. 1E - NESTIN and DCX expression Scale bar: 50 ⁇ m (valid for all images in Figures 1C-E). Individual qPCR analyses for all genes tested at all stages are shown in Figure 8D.
  • FIGs. 2A-C demonstrate that early Notch activation in NE cells confers amenability to neural patterning cues.
  • Figure 2A Neural patterning paradigm scheme. PSCs (pluripotent stem cells) were subjected to neural induction and were exposed to patterning cues directing differentiation into forebrain, midbrain and spinal cord cell fates with the morphogenes indicated. Region specific progenitors were sorted to high, medium or low HES5::eGFP expressing populations followed by neuronal differentiation.
  • Figure 2B Immunostaining for respective neuronal progeny derived from HES5+ (top) or HES5- (bottom) on day 12 of progression.
  • FIG. 2D Forebrain cortical neurons
  • FIG. 2E Spinal cord Motoneurons. All transcript levels shown are normalized to respective HPRT levels in each sample. Values were obtained from three technical replicates. Statistical analysis: mean + SEM; T- Test: (***) P ⁇ 0.001; (**) P ⁇ 0.01; (*) P ⁇ 0.05. Individual qPCR analyses for additional regional or neuronal markers are shown in Figure 9A.
  • FIGs. 3A-E demonstrate that consecutive isolation of Notch active progenitors recapitulates cortical lamination and glial fates.
  • FIG. 3 A - Combined HES5::e.GFP reporter expression and immunostainings of cortical layer specific neuronal markers.
  • Insets for RELN/TBR1 and SATB2/BRN2 show magnified areas within the image.
  • Inset for CTIP/TUJ1 show same magnification but a different view of neuronal axons. Images of HES5+ derived neurons are shown. Scale bars: 50 ⁇ for images, 25 ⁇ for Insets.
  • FIG. 12B Images of HES5- derived neurons and percentages of all cortical subtypes derived from both HES5+ and HES5- cells are presented in Figure 12B.
  • Figure 3B Distribution of relative transcript abundance based on qPCR for selected stage specific marker gene groups for either deep or upper layer neuronal progeny. Contributions of HES5+ (marked as +) and HES5- (marked as -) populations per each respective stage are shown. Marker gene groups for each progenitor stage were created by collapsing the normalized values of TBR1/RELN, CTIP2/FEZF2 and CUX1/CUX2/SATB2 (see Experimental Methods in the Examples section which follows for details). Individual qPCR analyses for all genes tested at all stages are shown in Figures 11 A- .
  • Figures 3C-D - A histogram depicting the cumulative neuronal marker levels based on absolute transcript levels (Figure 3C) and a graph depicting the sum of neuronal transcripts in HES5+ or GES5- cells (Figure 3D). Note the decrease in total neuronal progeny as shown in Figure 3D.
  • Figure 3E Distribution of relative transcript abundance based on qPCR for selected stage specific marker genes for indicated progenitor or neuronal cell markers. Contributions of HES5+ and HES5- populations per each respective stage from either untreated or DAPT treated cells are shown. Expression levels relative to HPRT of all four conditions (color coded) were summed per each gene and plotted as a single bar.
  • FIGs. 3F-G - An image ( Figure 3F) and a histogram (Figure 3G) depicting combined HES5::eGFP reporter expression and immunostaining of the glial marker GFAP following differentiation of distinct progenitor stages ( Figure 3F). Scale bar: 50 ⁇ .
  • FIGs. 4A-E demonstrate that transition through progenitor cell stages demarcates developing rosettes as VZ and SVZ equivalents.
  • Figure 4A Differential expression levels for selected genes that are most differentially expressed between HES5+ and HES5- cells in a stage specific fashion. Selected gene members are indicated on the left, developmental stages are indicated on the bottom, and gene categories classified by stage are indicated on the right. Values plotted on the heatmap represent ratios of expression levels relative to ES cells.
  • Figures 4B-C Relative expression levels (z- scores) based on microarray expression data for the entire differentiation time course for selected germinal zone marker genes. Expression levels are shown for HES5+ ( Figure 4B) and HES5- ( Figure 4C) samples separately.
  • FIGs. 5A-D Glial transformation with respect to Notch activation.
  • Figure 5 A Combined HES5::eGFP reporter expression and immunostainings of the RG markers GLAST (top) and FABP7 (bottom). Scale bar: 50 x (valid for all images in Figure 5A).
  • Figure 5B High power magnification of E-RG and M-RG images for selected genes shown in Figure 5A. Scale bar: 25 ⁇ (valid for all images in Figure 5B).
  • Figure 5C - EGFR expression percentages by FACS analysis for L-RG (purple) and LNP (turquoise) stages is shown. Average of 2 independent experiments is shown. Statistical analysis: mean ⁇ SEM.
  • FIG. 5D Relative GFAP expression levels based on qPCR data for the entire progression period. Relative expression levels are shown for HES5+ and HES5- samples during progenitor proliferation. Values were obtained from three technical replicates. Statistical analysis: mean + SEM. Compare the very low absolute levels of GFAP during proliferation (Day 80 HES5+ cells) to GFAP levels at the same progenitor type following astrocytic differentiation in Figures 3F-G.
  • FIGs. 6A-B Global gene expression cluster analysis for stage specifically expressed genes.
  • Figure 6B Gene set enrichment analysis results (using IPA, p- Values are calculated using right-tailed Fisher Exact Test) of gene sets selected from the top 10 categories for each cluster are shown. Color code indicates -log 10 p- Value.
  • FIG. 7 Schematic model for NSC progression.
  • Neuroectodermal cells yield the earliest NE cells of the CNS by launching Notch activation and HES5 expression, while non-CNS neuroectodermal cells lack this activation.
  • HES5+ NE cells yield consecutive radial glial progenitor cell types and their corresponding neuronal and glial progeny, hence considered as primary NSCs generating CNS neural diversity.
  • HES5+ NE cells exert their competence towards deep layer specific neuronal types (RELN, TBR1 but also FEZF2 and CTIP2; blue-to-red wave, bottom panel) and do so in a Notch dependent manner.
  • HES5+ E-RG cells are already committed to early dorsocaudal cortical identity, based on their elongated polarized cell morphology, rosette formation capacity and FEZF2 and EMX2 expression. Hence, they exhibit competence towards deep layer neurons (CTIP2, FEZF2; blue-to-red wave, bottom panel).
  • M-RG stage cells are characterized by lower HES5 percentages, reduced rosette organization, substantial accumulation of HES5+ derived HES5- progenitors expressing CUX1, CUX2 and TBR2 at the protein level, and competence for yielding upper layer neuronal fates (CUX1, CUX2, SATB2; brown wave, bottom panel) in a Notch independent manner.
  • HES5+ L-RG cells are able to give rise to astrocytes in a Notch dependent manner (GFAP; light blue wave, bottom panel), yet both HES5+ and HES5- cells at that stage continue to contribute to neurogenesis.
  • L-RG cells transform to long-term progenitors (LNP) associated with adult NSC progeny (purple wave, bottom panel).
  • Horizontal green and black arrows mark transition in a Notch dependent and independent manner, respectively.
  • Diagonal green and black arrows mark HES5+ and HES5- cells, respectively, subjected to differentiation following FACS- based separation.
  • Notch active pathways were confirmed by DAPT (red bar-headed lines).
  • Top panel shows cell types and developmental potential.
  • Bottom panel shows temporal phases of neuronal and glial markers derived by the stages indicated above. BP, basal progenitors.
  • FIGs. 8A-F demonstrate HES5 expression dynamics in PSC derived neural progenitors.
  • Figure 8A Fluorescent microscopy of HES5::eGFP during long-term differentiation shows dynamic morphological features through neural progenitor cell progression in vitro. Scale bar: 50 ⁇ m.
  • Figure 8B Top: FACS charts depicting ES cells purified for pluripotency markers. SSEA-4 and TRA-1-60 surface markers are presented (right). Unstained cells are shown on the left.
  • Figure 8C SOX1 and PAX6 expression in neuroectodermal cells at days 5 and 8, prior onset of HES5::eGFP. Scale bar: 25 ⁇ .
  • Figure 8D Quantitative PCR analysis of transcript levels of neural stem and progenitor cell markers (for whom immunostainings is shown in Figures 1C-E. Relative expression levels for HES5+ and HES5- samples across the entire progression period are shown. Values were obtained from three technical replicates. Statistical analysis: mean + SEM.
  • Figure 8E Top: Expression dynamics of early rosette markers (PLZF) and late glial progenitor markers (S100B) during progression in vitro are shown. Scale bar: 50 ⁇ m.
  • FIGs. 9A-F demonstrate CNS fate specification and regional patterning potential in HES5+ and HES5- progenitors.
  • Figure 9A-Cs Quantitative PCR analysis of transcript levels of the regional marker HOXB4 ( Figure 9B) and the neuronal marker TUJ1 (Figure 9A) during motoneuron differentiation ( Figures 9A-B), or TUJ1 expression during dopamine neuron differentiation ( Figure 9C). High (++, dark green bars), medium (+, light green bars) and low (-, gray bars) HES5 expressing progenitors, in their proliferative state (Day 12 or Day 14) and following terminal neuronal differentiation (Day 28 for motoneurons, Day 19 and Day 26 for dopamine neurons) are shown.
  • FIGs. 10A-E depict cell fate and proliferation marker segregation in consecutively sorted HES5+ and HES5- cells.
  • Acute fixation and staining following sorting is shown ( Figure 1.0A).
  • Quantification of PAX6 Figure 10B
  • AP2a Figure IOC
  • FIG. 10D Lineage relations for each stage analyzed (NE, E-RG) are indicated by vertical arrows on the x-axis. Scale bar for images and insets: 50 ⁇ .
  • Figure 10D Additional anterior CNS and NSC markers OTX2 and SOX2, as well as the neuronal marker DCX are shown for NE stage HES5+ and HES5- progenitors acutely sorted and analyzed. Scale bar: 50 ⁇ m.
  • Figure 10E Immunostainings for the S-Phase marker BrdU are shown in an experiment performed similar to the one presented in Figure 10A. Immunostainings were performed immediately after sorting, re-plating, and 1 hour of BrdU labeling are shown. Quantification of BrdU+ cell ratios is shown through stages examined on the right. Quantifications in Figures 10A through 10E are representative of at least 2 independent experiments. Scale bar: 25 ⁇ .
  • FIGs. 11A-K depict transcript validation of cortical lamination by PSC derived consecutively appearing neural progenitors. Individual qPCR analyses of laminar markers in neuronal progeny derived from HES5+ and HES5- progenitor populations from NE, E-RG, M-RG and L-RG stages.
  • transcript levels shown are normalized to respective HPRT levels in each sample. Values shown were obtained from three technical replicates of a representative experiment. Statistical analysis: mean ⁇ SEM; T-Test: (***) P ⁇ 0.001; (**) P ⁇ 0.01 ; (*) P ⁇ 0.05.
  • FIGs. 12A-G depict differentiation capacity of HES5- progenitor cell stages.
  • Figure 12A Combined HES5::eGFP reporter expression and immunostainings of cortical layer specific neuronal markers for neuronal progeny derived from HES5- cells across stages is shown. Panels and stainings are ordered identically to the ones shown for HES5+ progenitor stages in Figure 3A. Insets show compressed magnification of a matched DAPI image for the entire corresponding image. Scale bars: 50 ⁇ for images, 100 ⁇ for Insets.
  • Figures 12B-G Quantification of marker immunofluorescence intensity of the neuronal progeny shown in Figure 12A.
  • FIG. 12B RELN expression; Figure 12C - TBR1; Figure 12D - CTIP2; Figure 12E - SATB2; Figure 12F - BRN2; Figure 12G - CUX1. Entire image cell counting relative to DAPI of at least 2 independently taken images for one representative experiment is shown. Also shown in each of the charts is the quantification of cell ratios expressing these specific neuronal markers from HES5+ progenitors (for which images are shown in Figure 3A). Statistical analysis: mean ⁇ SEM.
  • FIGs. 13A-J depict spatiotemporal progenitor marker expression during progression in vitro: rosettes as VZ and SVZ equivalents.
  • Figure 13A Combined HES5::eGFP reporter expression and immunostainings for the mitotic (M-Phase) marker PHH3 and the cell cycle marker KI67. Scale bar: 50 ⁇ .
  • Right panel shows high power magnification of E-RG and M-RG rosettes shown on the left. Scale bar: 2 ⁇ .
  • Figure 13B Separate channel presentation for high power magnification images of E- RG and M-RG rosettes shown in Figure 4E.
  • POU3F2, TBR2, and CUX1 are shown.
  • FIGs. 14A-G depict stage specific marker validation.
  • Relative expression (compared to HPRT) is shown. Values were obtained from three technical replicates.
  • Statistical analysis mean ⁇ SEM.
  • Figure 14G - Statistical analysis for qPCR, shown are the Mean ⁇ SEM.
  • FIGs. 15A-D show that consecutive stages of ES cell derived neural progenitors are characterized by distinct epigenetic states.
  • Figure 15A - Left Schematic illustration of the cell system.
  • Middle Normalized read-count level for H3K27ac over a 1.4 mega base (mb) region around the SOX2 locus (chr3: 180,854,252- 182,259,543). ChlP-Seq read counts were normalized to 1 million reads and scaled to the same level (1.5) for all tracks shown.
  • FIGs. 16A-B show that distinct transcription factor modules are associated with stage specific epigenetic transitions.
  • Figure 16A Illustration of epigenomic footprinting across the PAX6 locus (chrl 1 :31 ,780,014-31,842,503) for dips in H3K27ac regions (right). Black boxes highlight footprints (FP) determined for H3K27ac peaks that harbor various putative transcription factor (TF) binding sites based on motif matching.
  • Figure 16B - The 40 top ranked TFs predicted to be activated during the cell state transition indicated on the bottom. Color-coding represents normalized TF epigenetic remodeling scores, averaging over all TERAs based on 7H3K4me3, H3K4mel, H3K27ac and DNAme. In addition, predictions were filtered for factors expressed at least at the stage of predicted induction.
  • FIGs. 17A-D show that a pooled shRNA (short hairpin RNA) screen recovers predicted regulators of in vitro NPC differentiation.
  • Figure 17A Simplified schematic of the pooled shRNA screen ( Figures 22A-G).
  • Figure 17B Depletion scores for all genes that are significantly reduced (q-value ⁇ 0.05 for at least 2 different shRNAs per gene) in at least one stage for FACS purified HES5+ cells 6 days after knockdown compared to FACS sorted HES5- obtained from the same infection or compared to cells collected 24h after infection (Figure 22 A).
  • Depletion score indicates the extent to which shRNAs targeting a particular gene were lost during the knockdown period relative to the control, indicating potential relevance of a particular gene for HES5+ maintenance, NPC state progression and proliferation or cell survival. Higher depletion scores (red) indicate stronger reduction in shRNA presence; scores were capped at 1.5 and computed based on at least three technical replicates per condition.
  • Figure 17C Overlap of genes detected to be significantly depleted in the HES5+ population relative to at least one of the control conditions.
  • Figure 17D Performance of combined regulator predictions based on TERA ranking averaged over H3K4me3, H3K4mel, H3K27ac and DNAme. Performance is measured as percentage of the top 20 predicted activating or repressing motifs for each stage mapping to TFs included in the shRNA library.
  • FIGs. 18A-E show that a set of core TFs dynamically associates with stage- specific factors to modulate NPC identity and differentiation potential.
  • Figure 18A Predicted top 10 significant (p ⁇ 0.01, odds ratio>1.5) co-binding relationships in dynamically regulated H3 27ac footprints for a set of 10 TFs (bold) essential for HES5+ cells at each stage.
  • Stage-specific predicted co-binding relationships are indicated in blue (NE), red (ERG) and grey (MRG). All predicted relations are supported by a knockdown effect of each gene at the relevant stage.
  • Figure 18B Gene expression patterns shown as z-scores for the core network TFs as well as all predicted co-binding partners across ES cells, all NPCs and more mature cellular states.
  • Figure 18C Venn diagram showing the overlap of OTX2 binding sites determined by ChlP-Seq in early NE and MRG cells.
  • Figure 18D Gene set enrichment analysis results for OTX2 binding sites in early NE and MRG cells.
  • Figure 18E Median expression patterns for ES cells, all NPCs and more mature cell populations shown as z-scores for putative downstream target genes of OTX2 binding sites.
  • FIGs. 19A-D show that binding of core and stage- specific NPC TFs is associated with epigenetic priming of pro-neural genes.
  • significant (p ⁇ 0.01, odds ratio>1.5) co- binding relationships with factors expressed at the NE are indicated by colored lines.
  • Figure 19C Heatmap showing the z- scores of the median gene expression levels for predicted NEUROD downstream target genes for each of the 5 dynamic patterns in the more mature neuron and astrocyte-like populations.
  • Figure 19D Schematic illustration of the TERA and expression analyses.
  • FIGs. 20A-D depict isolation and characterization of ES cell derived neural progenitor cells.
  • Figure 20A - A schematic illustration of the differentiation model including the specific days of sample collection.
  • Human ES cells were differentiated into neuroepithelial (NE) cells using dual inhibition of TGF (transforming growth factor beta) and BMP (bone morphogenic protein) followed by the transition to neural base media. Subsequently, sonic hedgehog and FGF8 (fibroblast growth factor 8), are used to transition to the early radial glial stage (ERG).
  • TGF transforming growth factor beta
  • BMP bone morphogenic protein
  • FGF8 fibroblast growth factor 8
  • FIG. 20D Gene expression patterns shown as z-scores for all significantly differentially expressed genes (q-value ⁇ 0.1) across four more mature cell populations (corresponding to the sequentially generated cortical layers) obtained through differentiation of NE, ERG or MRG cells to neuronal like cells (NE/ERG/MRGdN) and astrocyte like cells (LRGdA) derived from the LRG stage.
  • NEdn terminally differentiated neurons from HES5+ NE cells
  • ERGdn terminally differentiated neurons from HES5+ ERG cells
  • MRGdn terminally differentiated neurons from HES5+ MRG cells
  • LRGdn terminally differentiated neurons and glial cells from HES5+ LRG cells.
  • FIGs. 21A-E depict epigenetic dynamics and TF footprints.
  • True positives were defined as predicted binding events overlapping with peaks determined by ChlP-Seq and false positives accordingly. The entire set of positives was defined as all TF ChlP-Seq peaks for a particular factor that overlapped with any H3K27ac footprint.
  • Figure 21B ROC curve of the median TPR/FPR values from Figure 21A.
  • Figure 21C Epigenetic dynamics across the APOE locus (chrl9:45,391kb - 45,414kb) for ES cells and three stages of the NPCs.
  • H3K4me3 read counts 10 normalized to 1 million reads are shown on a scale of 0 to 2 (green). DNAme levels for single CpGs are indicated as blue dots on a scale of 0 to 100% of methylation (y-axis).
  • H3K27ac read counts normalized to 1 million reads are shown on a scale of 0 to 1 (purple).
  • For reference footprints (FP) and CpG islands (CGIs) are indicated as blue boxes (bottom).
  • FIG. 21D Top: Decomposition of H3K27ac dynamics into 7 distinct modules based on PLS regression. Colors indicate median epigenetic enrichment level of gene regulatory elements assigned to each module for each cellular state for H3K27ac. Bottom: Gene set enrichment analysis results for gene regulatory elements associated with each module.
  • Figure 21E Connectivity matrix showing the association strength of each of the factors listed in Figure 16B with each of the 7 modules identified by the partial least square (PLS) regression.
  • FIGs. 22A-G depict functional validation using a pooled shRNA screen.
  • each stage (NE, ERG and MRG) was infected with an optimized virus titer aiming for an average of one shRNA integration per cell.
  • cells were subjected to puromycin (puro) selection and bulk population material was collected 24 hours after infection and prior to efficient shRNA knockdown.
  • puro puromycin
  • cells were FACS sorted for HES5-GFP and both GFP+ and GFP- were collected for analysis.
  • genomic DNA was extracted and all integrated shRNAs were amplified by PCR for each population separately. The resulting material was then used to construct libraries for next generation sequencing to count the number of shRNA integrations for each shRNA in each cell population.
  • Figure 22B Overlap of genes identified to facilitate HES5+ cell maintenance, progression or proliferation determined by genes with at least two shRNAs significantly (q ⁇ ().()5) overrepresented in the HES5+ population with respect to the 24 hours or HES5- control.
  • Figure 22C Regulator predictions based on differential gene expression. Performance is measured as percentage of the top 20 differentially expressed factors for each stage linked to the TF included in the shRNA library.
  • Figure 22D Regulator predictions based on TERA ranking for H3K4me3, H3K4mel, H3K27ac or DNAme. Performance is measured as percentage of the top 20 predicted activating or repressive motifs for each stage mapping to a TF included in the shRNA library.
  • Figure 22E Detailed heatmap showing the top 20 predicted motifs and corresponding TFs differentially active between the ES cell and NE stage based on the combined TERA scores for H3K27ac, H3K4me3, H3K4mel and DNAme. In addition, knockdown results as depletion scores (green-red heatmap) obtained at each stage are shown on the right.
  • Figure 22F Heatmap showing the pairwise pearson-correlation coefficient (PCC) of the log2 read-count normalized shRNA libraries across all conditions and replicates.
  • Figure 22G Individual validation for shRNAs against OTX2 and PAX6 at the NE stage, which showed no effect in the pooled screening approach at any stage.
  • FIGs. 23A-D depict co-binding analysis.
  • Figure 23A Gene expression levels reported as z-scores for core network TFs and epigenetic modifiers with and without a known DNA binding motif.
  • Figure 23 B Illustration of predicted significant co-binding relationships (p ⁇ 0.01, odds ratio>1.5) of core factors (rows) with more stage- specific or pro- neuronal/glial factors (columns). Color-coding indicates whether binding is stage- specific or occurs at multiple stages.
  • Figure 23C Overlap of predicted binding sites in dynamic putative enhancer regions based on H3K27ac for OTX2 in NE and ERG.
  • Figure 23D Gene set enrichment analysis results for predicted ⁇ 2 binding sites in dynamic putative enhancer regions at the NE and MRG stage.
  • FIGs. 24A-E depict epigenetic priming.
  • Figure 24 A TERA scores for H3K27ac, H3K4me3, H3K4mel and DNAme for TFs showing evidence of priming (top bold) and TFs predicted to significantly co-occur in these primed binding sites.
  • Figure 24B Gene expression levels shown as z-scores for primed and co-binding TFs from Figure 24A.
  • Figure 24C - Detailed predicted co-binding relationship (p ⁇ ().01, odds ratio>1.5) of primed TFs (columns) with significantly associated co-binding factors (rows).
  • Figure 24D Illustration of a potential priming event and the associated predicted target gene at the ATOH1 locus (chr4:94,740-94,800).
  • H3K27ac, H3K27me3 and DNAme patterns are shown along with predicted NEUROD binding sites (black boxes) in putative gene regulatory elements marked by a loss of DNAme (highlighted by the grey bars).
  • Figure 24E Gene set enrichment analysis results for predicted NEUROD binding sites split up by dynamic patterns defined in Figure 19B (top). Binding sites in patterns 3 and 4 showed no significant enrichment.
  • FIG. 25 is a schematic illustration depicting the transcriptional codes for the generation of human stem cells of the neocortex.
  • FIGs. 26A-D depict formulas used in the "GENERAL MATERIALS AND EXPERIMENTAL METHODS" section.
  • the present invention in some embodiments thereof, relates to populations of neural progenitor cells and methods of producing and using same.
  • PSC pluripotent stem cell
  • HES5 human embryonic stem cell
  • hESC human embryonic stem cell
  • HES5 is a major and direct downstream target of Notch activation pathway ( ageyama, R. & Ohtsuka, T. The Notch-Hes pathway in mammalian neural development. Cell Res. 9, 179-188, 1999).
  • Notch activation pathway ageyama, R. & Ohtsuka, T. The Notch-Hes pathway in mammalian neural development. Cell Res. 9, 179-188, 1999.
  • This allows the prospective isolation and characterization of primary progenitors retaining low proneural transcriptional activity and broad developmental potential and thus serving as the primary progenitors - or NSCs - that generate neural cellular diversity.
  • the stepwise isolation of Notch active NSCs during neural differentiation of PSCs enables a systematic investigation of human NSC ontogeny and proposes a controlled module-based platform for understanding the development of normal and pathogenic NSCs and their progeny.
  • the present inventors isolated consecutively appearing PSC-derived primary progenitors based on their Notch activation state. As shown in Examples 1 and 2 of the Examples section which follows, the present inventors isolated early neuroepithelial cells and show their broad Notch-dependent developmental and proliferative potential. Neuroepithelial cells further yield successive Notch-dependent functional primary progenitors, from early and mid neurogenic radial glia and their derived basal progenitors, to gliogenic radial glia and adult- like neural progenitors, together recapitulating hallmarks of neural stem cell (NSC) ontogeny.
  • NSC neural stem cell
  • Gene expression profiling reveals dynamic stage specific transcriptional patterns that may link development of distinct progenitor identities through Notch activation.
  • the present observations provide a platform for characterization and manipulation of distinct progenitor cell types amenable for developing streamlined neural lineage specification paradigms for modeling development in health and disease.
  • Notch signaling is a major pathway critical for the onset and maintenance of neural progenitor cells (NPCs) in the embryonic and adult nervous system (Imayoshi, I. et al., 2010; Shimojo, H., et al., 2011 ; Carlen, M. et al. 2009). This can be exploited to isolate distinct populations of human embryonic stem (ES) cell derived NPCs (Edri, R. et al. 2015).
  • NPCs neural progenitor cells
  • the present inventors report the transcriptional and epigenomic analysis of six consecutive stages derived from a HES5- GFP reporter ES cell line (Placantonakis, D. G. et al. 2009) differentiated along the neural trajectory aimed at modeling key cell fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells.
  • the present inventors developed a computational framework to infer key regulators of each cell state transition based on the progressive remodeling of the epigenetic landscape and then validated these through a pooled shRNA screen.
  • the present inventors were also able to refine the previous observations on epigenetic priming at transcription factor binding sites and show here that they are mediated by combinations of core and stage- specific factors. Taken together, the present inventors demonstrate the utility of the system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation.
  • an isolated population of cells comprising at least 5% HES5+ cells, e.g., at least 6% HES5+ cells, e.g., at least 7% HES5+ cells, e.g., at least 8% HES5+ cells, e.g., at least 9% HES5+ cells, e.g., at least 10% HES5+ cells, wherein the HES5+ cells are:
  • E-RG early radial glial
  • LNP long term neural progenitor
  • the isolated population of cells further comprising HES5+ neuroepithelial (NE) cells.
  • HES5 refers to the hes family basic helix-loop-helix (bHLH) transcription factor 5.
  • the HES5 gene encodes a protein, which is activated downstream of the Notch pathway and regulates cell differentiation in multiple tissues. Disruptions in the normal expression of this gene have been associated with developmental diseases and cancer.
  • GenBank Accession No. NM_001010926.3 SEQ ID NO:41 for the nucleic acid sequence encoding HES5
  • the HES5 encoded protein can be found in GenBank Accession No. NP_001010926.1 (SEQ ID NO:42 for the amino acid sequence encoding HES5).
  • isolated refers to at least partially separated from the natural environment e.g., the human body.
  • the isolated population of cells is positive for one or more markers.
  • Positive is also abbreviated by (+) or simply "+”.
  • Positive for a marker means that at least about 10 %, 20 %, 30, 40 %, 50 %, 60 %, or even at least about 70 %, 80 %, 85 %, 90 %, 95 %, or 100 % of the cells in the population present detectable levels of the marker assayed by a method known to those of skill in the art. It should be noted that cells which are positive to one or more markers can be negative for expression of other marker(s).
  • the isolated population of cells is negative for one or more markers.
  • Negative is also abbreviated by (-) or simply Negative for a marker means that no more than about 5 %, 10 %, 20 %, 25 %, or 30 % of the cells in the population present detectable levels of the marker.
  • the marker is an expressed product, e.g., RNA or a polypeptide encoded by an endogenous gene.
  • the marker is exogenous (heterologous) to the cell such as in the case of a reporter molecule which expression in a cell is under the control of a promoter sequence of a gene-of-interest (also referred to as a promoter-driven reporter).
  • each of the genes encompassed by some embodiments of the invention is designated using the accepted nomenclature of the gene symbol and/or by the gene identification (ID) number as available via the National Center for Biotechnology Information (NCBI).
  • ID gene identification
  • NCBI National Center for Biotechnology Information
  • the presentation of the marker on the cell can be detected by directly monitoring expression of the marker (i.e., the RNA and/or protein encoded by the gene) using RNA or protein detection methods, or it can be monitored by means of detecting the reporter molecule (RNA or protein) driven by the promoter of the gene.
  • the marker i.e., the RNA and/or protein encoded by the gene
  • RNA or protein detection methods or it can be monitored by means of detecting the reporter molecule (RNA or protein) driven by the promoter of the gene.
  • Notch+ means presence of detectable levels within (or on) the cell of the mRNA encoded by Notch signaling pathway genes and/or of detectable levels of the protein encoded by Notch signaling pathway genes, and/or of a reporter molecule which expression is under the control of Notch signaling pathway regulatory sequence (e.g., promoters, enhancers, and other regulatory sequences being upstream and/or downstream of the Notch signaling pathways coding sequence).
  • Notch signaling pathway regulatory sequence e.g., promoters, enhancers, and other regulatory sequences being upstream and/or downstream of the Notch signaling pathways coding sequence.
  • Non-limiting examples of Notch signaling pathway genes include genes which are downstream of Notch activation such as the HES family of genes (e.g., HES1, HES2, HES 3, HES4, HES 5, HES6, HES7) and RBDJ.
  • HES family of genes e.g., HES1, HES2, HES 3, HES4, HES 5, HES6, HES7 and RBDJ.
  • HES5+ means presence of detectable levels of the mRNA encoded by HES5 and/or of detectable levels of the protein encoded by HES5, and/or of a reporter molecule which expression is under the control of HES5 promoter within the cell.
  • Methods of detecting the expression level of RNA include, but are not limited to Northern Blot analysis, RT-PCR analysis, quantitative RT-PCR or quantitative PCR, RNA in situ hybridization stain, In situ RT-PCR stain, DNA microarrays/DNA chips, and Oligonucleotide microarray (all of which are further described hereinunder).
  • Methods of detecting expression and/or activity of proteins include but are not limited to Enzyme linked immunosorbent assay (ELISA), Western blot, Radioimmunoassay (RIA), Fluorescence activated cell sorting (FACS), Immunohistochemical analysis, and In situ activity assay, In vitro activity assays (all of which are further described hereinunder).
  • ELISA Enzyme linked immunosorbent assay
  • RIA Radioimmunoassay
  • FACS Fluorescence activated cell sorting
  • Immunohistochemical analysis and In situ activity assay, In vitro activity assays (all of which are further described hereinunder).
  • the phrase "at least one gene (or marker)” encompasses any combination of genes or markers higher than one, e.g., at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, e.g., at least 35, 40, 45, 50, 55, 60, 65, 70, 75, 80 and more genes or markers. Accordingly, a collection of markers (i.e., more than one) in a single cell is also referred to as a signature.
  • HES5+ neuroepithelial (NE) cells refers to a population of cells which express HES5 which present an HE phenotype characterized by an epithelial morphology and character (e.g., tight junctions), symmetrically dividing, and characterized by the SOXl+/PAX6+/SOX2+/Nestin+ expression signature, and which has the potential of differentiating ex-vivo into HES5+ early radial glial (E-RG) cells and into HESS- central nervous system neurons.
  • E-RG early radial glial
  • HES5- central nervous system neurons which are formed (differentiated) from the HES5+ neuroepithelial cells comprise the earliest neurons capable of forming layers 1 and 6 of the cortex.
  • the HES5+ NE cells exhibit an HES 5+/S OX 1 +/P AX6+/S OX2+/Nestin+ expression signature.
  • the HES 5+ NE cells further exhibit a CDC6+/CDX 1 +/CENPH+/TOP2 A+ expression signature.
  • the HES5+ NE cells are characterized by a higher expression level of at least one gene selected from the group consisting of: TOP2A, HIST1H4C, TRIM71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1, FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LIMS1, CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1, CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM126A, MAGT1, CDC6, C60RF211, RFC5, PSMD1, HMMR, UNG, UBE2C
  • the HES5+ NE cells are characterized by presence of at least one active transcription factor selected from the group consisting of: RFX4, NR2F2, REST, CDC6, CDX1, CENPH, and TOP2A.
  • the isolated population of cells comprises at least 50%, e.g., at least 60%, e.g., at least 70%, e.g., at least 75%, e.g., at least 80%, 81%, 82%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, e.g., 90% of HES5+ cells neuroepithelial cells (NE).
  • NE neuroepithelial cells
  • the HES5+ NE cells are capable of differentiating into E-RG, M-RG, L-RG and LNP cells.
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1 , MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSXl , RFXl, NR4A2, MEIS2, SOX15, STAT5B, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSXl, CDC5L, RFXl, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRXl, STAT1, POU3F1, FOXB1, CTNNB1, PBX1, ZNF143, NFATC1, TCF7L1, ARX, RXRA
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1, MEISL TCF4, MEIS2, OTX2, TEF, ZBTB16, SOX9, MSX1, RFX1, SOX8, NR4A2, MEIS2, SOX15, STAT5B, SOX8, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRXl , STAT1, POU3F1, FOXBl, CTNNB1, PBX1, ZNF143, NFATC1, TCF7L1, AR
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21 , TEAD1, NFATCl, SOX5, TGIF1, MEISl, TCF4, MEIS2, OTX2, TEF, ZBTB16, SOX9, MSX1, RFX1, SOX8, NR4A2, MEIS2, SOX15, STAT5B, SOX8, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRXl, STAT1, POU3F1, FOXBl, CTNNB1, PBX1, ZNF143, NFATCl, TCF7
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSX1, RFX1, NR4A2, MEIS2, SOX15, STAT5B, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRX1, STAT1, POU3F1, FOXB1, CTNNB1 and PBX1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
  • the gene selected from group consisting
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEFl, POU3F2, SOX8, SOX21, TEADl , NFATCl, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, and MSX1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEFl, POU3F2 and SOX8 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
  • the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4 and PAX6 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
  • HES5+ early radial glial (E-RG) cells refers to an isolated population of cells which express HES5, having an elongated morphology, express PAX6 and form neural rosettes (highly polarized structures containing radially organized columnar cells) and have the potential of differentiating ex-vivo into HES5+ M-RG cells and into HES5- neural progenitor cells.
  • HES5+ ERG cells loose some of the morphology of epithelial cells that was present in the HES5+ NE cells (e.g., HES5+ ERG cells loose the tight junctions morphology as compared to HES5+ NE cells) and gain some astro glial characters, such as expression of S100B, EGFR, GLAST and FABP7 and also to some extent expression of GFAP (shown by RNAseq data in Supplementary data 7, which is fully incorporated herein by reference in its entirety).
  • HESS- neural progenitor cells belong to the CNS. These cells are non-stem cells but rather are limited progenitor cells, which upon the immediate differentiation form the earliest neurons which form layer 1 of the cortex, and eventually the HES5- neural progenitor cells can also differentiate to the neurons forming layers 5 and 6 of the cortex.
  • the HES5+ early radial glial cells exhibit an PAX6+/SOXl+/SOX2+/Nestin+ expression signature.
  • the HES5+ early radial glial cells further exhibit an ARX+/FEZF2+/NR2E1+ expression signature.
  • the HES5+ early radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: NR2E1, HES5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, FAM107A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1, LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZ1, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7, SMOC1, TBC1D9, FAT4, SCUBE3, FUT8, CSPG5, DLL1, B
  • the HES5+ E-RG cells are characterized by presence of at least one active transcription factor selected from the group consisting of: ARX, NR2E1, FEZF2 and EMX2.
  • the HES5+ cells are early radial glial cells (E-RG) which constitute at least about 60%, e.g., at least about 65%, e.g., at least about 70%, 71%, 72%, 73%, 74%, 75%, 76%, 77%, 78%, 79%, 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, e.g., at least 90% or more of the isolated population of cells.
  • E-RG early radial glial cells
  • the HES5+ cells early radial glial cells are capable of differentiating into M-RG, L-RG and LNP cells.
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZICl, YYl, ETS2, NR2C2, SREBF2, SREBFl , MEIS2, NR4A1 , REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEISl , ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NR2F1, MZF1, ESRRA, TFCP2, NR2F1, ESR
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1 , SMAD4, CTF1 , SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBF1, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIFl , SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NFIA, NR2F1 , MZF1, ESRRA, TFCP2, NR2
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YYl, ETS2, NR2C2, SREBF2, SREBFl, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NR2F6, GLIS3, MAZ, STAT1, TGIFl, SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NFIA, NR2F1, MZFl, ESRRA, TFCP2, NR2F1, TERF1, KLF
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBFl, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKBl, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B and NFIA as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepit
  • the gene selected from group consist
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBFl, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKBl, NR2F6, GLIS3, MAZ and STAT1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
  • the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, Z
  • the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC and ZNF263 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
  • HES5+ mid radial glial (M-RG) cells refers to an isolated population of cells expressing HES5, which form neural rosettes and being capable of differentiating into the HES5+ late radial glial (L-RG) cells and into HES5- intermediate progenitor cells (INPs).
  • HES5+ M-RG cells are comprised in the ventricular zone (VZ) of the brain, and include HES5+ basal radial progenitors.
  • the HES5- intermediate progenitor cells belong to the CNS and are capable of differentiating into the neurons forming mainly layers 4 and 3 of the brain cortex, and also a small fraction forming layer 2 of the brain cortex.
  • the INPs constitute about 80% of the SVZ (80%), exhibit TBR2+ expression pattern, wherein each INP can divide on average 3 times to create neurons of layers 4 and 3 of the brain cortex, and a small fraction forming layer 2.
  • the HES5+ mid radial glial cells exhibit an HES5+/PAX6+/Nestin+ expression signature.
  • the HES5+ mid radial glial cells exhibit an HES5+/POU3F2+ expression signature.
  • the HES5+ mid radial glial cells further exhibit an GLAST+/FABP7+ expression signature.
  • the HES5+ mid radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RAB10, WASFl, ZBED4, EZH2, PPA2, H1F0, CCNJ, ITGB8, SH3BGRL3, IRX2, KIF23, PEG10, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAP1, LIMCH1, ETNK1, RNF13, ARID1B, TRIM28, CNOT8, CRNDE, TWSG1, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRKl , TRIM41, SATB1 , HOMER 1, CCNG1, ATF2, AP1AR, GABPA
  • the HES5+ M-RG cells are characterized by presence of at least one active transcription factor selected from the group consisting of: NFIA, NFIB, REST, CDKN1B, SALL1, and POU3F2.
  • the HES5+ cells are mid radial glial cells (M-RG) which constitute at least about 20%, e.g., at least about 25%, e.g., at least about 26%, 27%), 28%, 29%, 30%, 31%, 32%, 33%, 34%, 35%, 36%, 37%, 38%, 39%, e.g., 40% of the isolated population of cells.
  • M-RG mid radial glial cells
  • the HES5+ mid radial glial (M-RG) cells are capable of differentiating into L-RG and LNP cells.
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1 , TGIFl , ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFX1, TCF4, MZF1, STAT1, MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEF1, NFYC, MAFF, ZNF263, YYl , POU3F3, TGIFl, STAT3, SMAD4, NR6A1, TGIFl, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATCl, CTF1, NEUROD1, RFX1, TGIFl, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFX1, TCF4, MZF1, STAT1, MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEF1, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1, STATS, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, SOX9, PEBP1, SMAD4, XBP1, US
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl, TCF4, MZF1, STATl, MECP2, MEIS2, ZBTB33, NFYA, ELFl, MYBL2, LEF1, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1, STAT3, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STATl, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4, XBP
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFXl, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl, TCF4, MZF1, STATl, MECP2, MEIS2, ZBTB33, NFYA, ELFl, MYBL2, LEF1, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1, STAT3, SMAD4, NR6A1, TGIF1, MEIS1 and ZNF628 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
  • the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl , TCF4, MZF1, STAT1 , MECP2, MEIS2, ZBTB33, NFYA, ELFl, MYBL2, LEF1 and NFYC as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
  • the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl , TCF4, MZ
  • the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of:RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA and SOX9 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
  • HES5+ late radial glial (L-RG) cells refers to HES5+ cells characterized by downregulation of at least one rosette marker and upregulation of at least one glial marker as compared to HES5+ MRG cells, and being capable of differentiating into the HES5+ LNP cells and into HES5- neurons and astrocytes.
  • the at least one rosette marker comprises PLZF.
  • the at least one glial marker comprises epidermal growth factor receptor (EGFR) and/or S 100B.
  • EGFR epidermal growth factor receptor
  • HESS- neurons which are differentiated from the HES5+ L-RG form mainly layer 2 of the brain cortex, but also layers 4 and 3 of the brain cortex.
  • the HES5+ late radial glial cells exhibit an HES5+/OLIG1+/PDGFRA+ expression signature.
  • the HES5+ late radial glial cells further exhibit an CUX1+/CUX2+/POU3F2+ expression signature. According to some embodiments of the invention, the HES5+ late radial glial cells further exhibit an S100B+/EGFR+ expression signature.
  • the HES5+ late radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1 , PDGFRA, COL22A1, KIAA1239, PCDHIO, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COLl lAl, TRIM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHD1, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51, CHST3, PAG1, MY05C, CACNB2, NDRG2, ST3GAL5, TPD52L1, TRI
  • the HES5+ L-RG cells are characterized by presence of the active transcription factor GFAP.
  • the HES5+ cells are late radial glial cells (L-RG) which constitute at least about 2%, e.g., at least 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20% of the isolated population of cells, e.g., about 10-15% of the isolated population of cells.
  • L-RG late radial glial cells
  • the HES5+ late radial glial (L-RG) cells are capable of differentiating into LNP cells.
  • HES5+ LNP cells refers to HES5+ adult neural stem cells (aNSCs) characterized by a higher expression level of EGFR and S100B as compared to HES5+ L-RG cells, and which are capable of differentiation into HES5- neurons, oligodendrocyte and astrocytes.
  • HES5- neurons which are differentiated from the HES5+ adult neural stem cells (aNSCs) comprise limited types of neurons, mainly those reaching the olfactory bulb.
  • the long term neural progenitor cells exhibit an HES5+/ANXA2+/LGALS1+ expression signature.
  • the long term neural progenitor cells further exhibit EGFR+/ S100B+ expression signature.
  • the HES5+ long term neural progenitor cells are characterized by a higher expression level of at least one gene selected from the group consisting of: ANXA2P2, ANXA2, FRASl, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSFIOD, S100A6, RNF182, LGALS1, ISLl, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAGl , MMD, PTGR1, PDP1, COL18A1, ZIC4, BASP1 , AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21, and FAM38A as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ late radial glial cells under culture conditions suitable for differentiation the H
  • the HES5+ LNP cells are characterized by presence of at least one active transcription factor selected from the group consisting of: ANXA2, LGALS1, S100B, and FABP7.
  • the HES5+ cells are long term neural progenitors (LNP) which constitute at least about 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, e.g., about 7-10 % of the isolated population of cells.
  • LNP long term neural progenitors
  • the HES5+ cells (at all stage of NE, E-RG, M-RG, L-RG and LNP) are characterized by presence of at least one active transcription factor selected from the group consisting of: E2F4, PAX6, RFX5, CREB3, OTX2, NR2F2, THRA, PBX2, ATF5, and CREM.
  • the HES5+ cells are genetically modified.
  • nucleic acid construct As used herein the phrase "genetically modified" refers to having been transformed with an exogenous polynucleotide or a nucleic acid construct.
  • the genetic modification of the cells comprise transforming the cells with a nucleic acid construct which comprises a Notch-driven reporter as is further described hereinunder.
  • an isolated population of cells comprising at least 5% HESS- cells, e.g., at least 6% HES5- cells, e.g., at least 7% HES5- cells, e.g., at least 8% HES5- cells, e.g., at least 9% HES5- cells, e.g., at least 10% HES5- cells, wherein the HES5- cells are:
  • non-CNS central nervous system cells comprising neural crest cells, placodal cells, non-neuroepithelial cells; and CNS cells which exhibit an NEUROD4+/NGN1+/NGN2+/TBR2+/DCX+ expression signature and which form neurons of layers I and 6;
  • neural progenitor cells which belong to the CNS, having a limited differentiation potential and are characterized by a lower proliferative capacity as compared to the HES5+ ERG cells. Upon the immediate differentiation of these cells, the cells form the earliest neurons which form layer 1 of the cortex, and eventually can also differentiate to neurons of layers 5 and 6 of the cortex. These neural progenitor cells also constitute up to 20% of the early emerging SVZ, which are also termed “intermediate progenitor cells (INPs)" or “basal progenitor cells”.
  • INPs intermediate progenitor cells
  • INPs intermediate progenitor cells which belong to the CNS, and which are capable of differentiating into the neurons forming mainly layers 4 and 3 of the brain cortex, and also a small fraction forming layer 2 of the brain cortex.
  • the INPs constitute about 80% of the SVZ (80%), exhibit TBR2+ expression pattern, wherein each ⁇ can divide on average 3 times to create neurons of layers 4 and 3 of the brain cortex, and a small fraction forming layer 2.
  • HES5- neurons and some astrocytes wherein the neurons form mainly layer 2 of the brain cortex, but also layers 4 and 3 of the brain cortex;
  • HES5- cells of (i) are characterized by a higher expression level of at least one gene selected from the group consisting of: LHX1, CNTN2, ST18, EBF3, NFASC, FSTL5, ONECUT2, SLC17A6, EBF1, SLIT1, SYT4, NEFM, NEUROD1, PARM1, CHN2, DNER, HMP19, TFAP2B, DCX, KLHL35, PAPPA, OLFM1, NHLHl , RTNl, GAP43, GFRAl, CHL1, FNDC5, SCN3A, NPTX2, EOMES, CADPS, NHLH2, TMEM163, STMN3, LRRN3, NEFL, ROB02, INA, PHLDA1,
  • the HES5- cell s of (ii) are characterized by a higher expression level of at least one gene selected from the group consisting of: GREM1, COL3A1, PCDH8, SEMA3C, BMP4, NID2, TNC, COL1A2, ANKRD1, ANXA1, TMEFF2, PDZRN3, ANXA3, KRT8, LEPRELl, NOX4, LAMB1, FLNC, FST, IMMP2L, S100A4, GDF15, PHACTR2, METTL7A, MAMDC2, DDIT4, BCHE, OCIAD2, TNFRSF10D, BBS9, ELOVL2, TUBA1C, CHST7, RBM47, TFPI, NEBL and LHFP as compared to the expression level of the at least one gene in HES5+ early radial glial cells.
  • the HES5- cells of (Hi) (which comprise intermediate progenitor cells (INPs) capable of differentiating into the neurons forming layers 4, and 2 of the brain cortex) are characterized by a higher expression level of the ACS SI gene as compared to the expression level of the gene in HES5+ mid radial glial cells.
  • Hi intermediate progenitor cells
  • the HES5- cells of (iii) are characterized by presence of the active transcription factor TBR2.
  • the HES5- cells of (iv) (which comprise neurons and some astrocytes, wherein the neurons form layers 2, 4 and 3 of the brain cortex) are characterized by a higher expression level of at least one gene selected from the group consisting of: THBS1, KLHL4, A2M, EN2, SLC6A6, ACTA2, ST6GAL1, SLC7A8, GRM3, FAM65B, CALB1, MYLK, TNNT1, PTX3, MFAP2 and HMGA2 as compared to the expression level of the at least one gene in HES5+ late radial glial cells.
  • the HES5- cells of (iv) are characterized by presence of the active transcription factor(s) POU3F3 and/or POU3F2.
  • the HES5- cells of (v) (which comprise neurons, oligodendrocyte and astrocytes, wherein the neurons comprise neurons reaching the olfactory bulb) are characterized by a higher expression level of at least one gene selected from the group consisting of: FBN2, NELL2, KALI, PCDHB5, ST8SIA4, DCN, SLC6A1, CADM2, BCL11A, DDB2, ANXA11, PAK1, ID3, IGF2BP1, ANK3, ZEB2 and CREB5 as compared to the expression level of the at least one gene in HES5+ long term neural progenitor cells.
  • at least one gene selected from the group consisting of: FBN2, NELL2, KALI, PCDHB5, ST8SIA4, DCN, SLC6A1, CADM2, BCL11A, DDB2, ANXA11, PAK1, ID3, IGF2BP1, ANK3, ZEB2 and CREB5 as compared to the expression level of the at least one gene in HES5+ long term neural pro
  • the cells are human cells. According to some embodiments of the invention, the cells are derived from a subject having a CNS disease or disorder.
  • the cells having been subjected to an ex-vivo differentiation protocol.
  • the isolated population of cells can be used in the treatment of a CNS disease or disorder.
  • a method of isolating neural progenitor cells comprising:
  • a successive isolation of the cells is an isolation of cell(s) derived from a previously isolated cell(s) based on activation state of the Notch reporter.
  • the first isolation is based on HES5 expression such that only HES5+ cells are isolated and further cultured. Then the cultured cells (which were previously isolated based on HES5+) are further isolated based on HES5+ expression (showing Notch activation).
  • the term "isolating” refers to the enrichment of a mixed population of cells (e.g., in a cell culture) with cells predominantly displaying at least one characteristic associated with a specific phenotype.
  • the specific phenotype can be for example, presence or absence of Notch activation.
  • Methods of determining the status of Notch activation are known in the art.
  • the cells can be evaluated for expression of markers which are activated in the Notch pathway, such as presence or absence of expression of HES5, which is activated downstream of the Notch pathway and regulates cell differentiation in multiple tissues.
  • the expression of the markers can be detected by monitoring presence of a reporter protein driven by the regulation of the Notch pathway related promoter, e.g., the HES5 promoter.
  • the method further comprising monitoring expression of the reporter, wherein cells exhibiting negative expression of the reporter are more mature, terminally differentiated cells.
  • the isolation of the specific cells can be performed using methods known in the art such as by fluorescence activated cell sorter (FACS), magnetically-labeled antibodies and magnetic separation columns (MACS, Miltenyi) as described by Kaufman, D.S. et al., (Hematopoietic colony-forming cells derived from human embryonic stem cells. Proc. Natl. Acad. Sci. USA. 2001, 98: 10716-10721).
  • FACS fluorescence activated cell sorter
  • MCS magnetically-labeled antibodies and magnetic separation columns
  • a nucleic acid construct which comprises the regulatory sequences of a Notch signaling pathway gene (e.g., promoters, enhancers, and other regulatory sequences being upstream and/or downstream of the Notch signaling pathways coding sequence, e.g., the HES5 promoter) ligated to a coding sequence of a reporter molecule, is introduced into the cell (integration into the genome).
  • a Notch signaling pathway gene e.g., promoters, enhancers, and other regulatory sequences being upstream and/or downstream of the Notch signaling pathways coding sequence, e.g., the HES5 promoter
  • Examples of the regulatory sequences of a Notch signaling pathway gene include, the regulatory sequences of genes which are downstream of Notch activation such as the HES family of genes, such as of HES1, HES2, HES3, HES4, HES5, HES6, HES7 and other Notch signaling pathway genes such as RBDJ.
  • Such regulatory sequences are known in the art and can be obtained from the database, e.g., via the NCBI web site.
  • Non-limiting examples of suitable reporters include, green fluorescent protein [e.g., the enhanced green fluorescent protein from Mycobacterium tuberculosis H37Rv, depicted by polynucleotide set forth by SEQ ID NO:43; and the polypeptide set forth by GenBank Accession No. YP_009062989.1, SEQ ID NO:44], blue fluorescent protein (BFP), red fluorescent protein (RFP) and yellow fluorescent protein (YFP).
  • the reporter molecule can be ligated under the control of a suitable promoter, e.g., the promoter of the gene-of-interest.
  • a non-limiting example of such a HES5-driven reporter is bacterial artificial chromosome (BAG) RP24-341I10, in which the coding sequence for enhanced green fluorescent protein (EGFP), followed by a polyadenylation signal, was inserted into the mouse genomic bacterial artificial chromosome (BAC) RP24-341I10 at the ATG transcription initiation codon of the Hes5 gene so that expression of the reporter mRNA/protein is driven by the regulatory sequences of the HES5 gene, essentially as described in Placantonakis DG, et al., 2009, which is fully incorporated herein by reference in its entirety.
  • BAG bacterial artificial chromosome
  • BAC mouse genomic bacterial artificial chromosome
  • the successive isolation comprises at least two isolation steps following at least two culturing steps, wherein a first isolation of the at least two isolation steps is effected up to 12 days of a first culturing of the at least two culturing steps, and wherein a second isolation of the at least two isolation steps is effected up to 5 days of a second culturing of the at least two culturing steps.
  • the first isolation of the at least two isolation steps is effected up to 8, 9, 10, 11 or 12 days of a first culturing of the at least two culturing steps.
  • the first isolation results in a population of cells comprising HES5+ neuroepithelial cells.
  • the first culturing is performed on an extracellular matrix or a feeder cell layer.
  • the first culturing is performed on an extracellular matrix.
  • Non-limiting examples of suitable extracellular matrixes include matrixes composed of laminin, fibronectin, collagen and the like.
  • MATRIGELTM (BD Biosciences) is a solubilized basement membrane preparation extracted from the Engelbreth-Holm-Swarm (EHS) mouse sarcoma, a tumor rich in extracellular matrix proteins which include laminin (a major component), collagen IV, heparan sulfate proteoglycans, and entactin/nidogen.
  • EHS Engelbreth-Holm-Swarm
  • the first culturing is performed on a feeder cell layer.
  • the feeder cell layers can be from various sources, such as fibroblasts or stroma cells, and can be from human (in order to avoid animal contamination) or from non- human source (e.g., mouse feeder cells layers).
  • MS 5 stromal cells is a murine stromal cell line established after irradiation of the adherent cells in long-term bone marrow culture; the cells produce extracellular matrix proteins such as fibronectin, laminin, and collagen type 1.
  • the first culturing is performed without passaging of the cells.
  • the first culturing is performed in the presence of a culture medium which comprises Noggin, SB-431542 and LDN- 193189.
  • Noggin (gene name NOG, Gene ID 9241, GenBank Accession No. NP_005441.1; SEQ ID NO:45) is a secreted polypeptide, which binds and inactivates members of the transforming growth factor-beta (TGF-beta) superfamily signaling proteins, such as bone morphogenetic protein-4 (BMP4).
  • TGF-beta transforming growth factor-beta
  • BMP4 bone morphogenetic protein-4
  • Noggin can be obtained R&D systems (e.g., Catalogue No. 6057-NG).
  • the concentration of Noggin in the culture medium is between from 200-300 ng/ml, e.g., about 250 ng/ml (nanograms per milliliter).
  • SB-431542 is a potent and specific inhibitor of transforming growth factor-beta superfamily type I activin receptor-like kinase (ALK) receptors ALK4, ALK5, and ALK7, and can be obtained, for example, from TOCRIS (a biotechne brand, e.g., Cat. No. 1614).
  • ALK transforming growth factor-beta superfamily type I activin receptor-like kinase
  • the concentration of SB- 431542 in the culture medium is from 5-20 ⁇ , e.g., about 10 ⁇ (micromolar).
  • BMP bone morphogenetic protein
  • the concentration of LDN- 193189 in the culture medium is from 50-200 nM, e.g., about 100 nM (nanomolar).
  • Pluripotent stem cells such as human embryonic stem cells (ESCs) are cultured on an extracellular matrix [e.g., MATRIGELTM (BD Biosciences)] or on a feeder cell layer [e.g., MS5 stromal cells] in the presence of a culture medium which induce the cells to differentiation into the neural lineage.
  • an extracellular matrix e.g., MATRIGELTM (BD Biosciences)
  • a feeder cell layer e.g., MS5 stromal cells
  • the culture medium can comprise: Noggin (e.g., from 200-300 ng/ml, e.g., about 250 ng/ml) and SB-431542 (e.g., from 5- 20 ⁇ , e.g., about 10 ⁇ , Tocris), and LDN-193189 (e.g., from 50-200 nM, e.g., about 100 nM, Stemgent) for up to day 9-12.
  • “day 0" also referred to as "DO" herein
  • DO is the first day of culturing in which the pluripotent stem cells are transferred to the differentiation conditions towards the neural lineage.
  • the second isolation results in a population of cells comprising HES5+ early radial glial cells.
  • the second culturing is performed on an extracellular matrix.
  • the second culturing (reaching to HES5+ ERG cells) was performed on moist MATRIGELTM drops.
  • the second culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 8 (FGF8; GenBank Accession Nos: NP_149355.1, NP_149354.1, NP_149353.1, NP_006110.1, NP_001193318.1; SEQ ID NOs:46-50) and brain-derived neurotrophic factor (BDNF, GenBank Accession NOs.
  • FGF8 fibroblast growth factor 8
  • BDNF brain-derived neurotrophic factor
  • the medium used in the second culturing further comprises Sonic hedgehog protein.
  • Sonic hedgehog (gene symbol: SHH; Gene ID 6469; GenBank Accession Nos.
  • NP_000184.1 SEQ ID NO:68; and NP_001297391.1 SEQ ID NO:69) is instrumental in patterning the early embryo. It has been implicated as the key inductive signal in patterning of the ventral neural tube, the anterior-posterior limb axis, and the ventral somites.
  • the concentration of Sonic hedgehog in the culture medium is about 10-50 ng/ml, e.g., about 30 ng/ml.
  • a non-limiting example of such a culture medium includes the DMEM/F12 medium with the N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, which is further supplemented FGF8 (e.g., between 50-150 ng/ml, e.g., about 100 ng/ml) and BDNF (e.g., between 1-20 ng/ml, e.g., between 1-10 ng/ml, e.g., about 5 ng/ml).
  • FGF8 e.g., between 50-150 ng/ml, e.g., about 100 ng/ml
  • BDNF e.g., between 1-20 ng/ml, e.g., between 1-10 ng/ml, e.g., about 5 ng/ml.
  • HES5+ neuroepithelial cells are isolated from about day 9-12 of the first culturing (preferably from day 12), and are replated at a high density (e.g., 500,000 cells/cm 2 ) on moist MatrigelTM drops in a DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone), and further supplemented FGF8 (100 ng/ml) and BDNF (5 ng/ml) until rosettes appeared (E-RG stage), which is about 2 days of culturing.
  • a high density e.g., 500,000 cells/cm 2
  • FGF8 100 ng/ml
  • BDNF 5 ng/ml
  • the successive isolation comprises at least three isolation steps following at least three culturing steps, wherein a third isolation of the at least three isolation steps is effected up to 21 days of a third culturing of the at least three culturing steps.
  • the third isolation results in a population of cells comprising HES5+ mid radial glial cells.
  • the third culturing is performed on an extracellular matrix.
  • the extracellular matrix which is used for the third culturing comprises polyornithine, Laminin and Fibronectin.
  • the matrix can be prepared as a solution with the extracellular matrix proteins at specific concentrations, and the solution is then poured over a surface of a culture vessel in order to form a layer of such extracellular matrix on the vessel.
  • the concentration of polyornithine in the extracellular matrix is in the range of 5-30 ⁇ g/ml, e.g., about 15 ⁇ g/ml.
  • the concentration of Laminin in the extracellular matrix is in the range of 0.5-3 ⁇ g/ml, e.g., about 1 ⁇ g/ml.
  • the concentration of Fibronectin in the extracellular matrix is in the range of 0.5-3 ⁇ g/ml, e.g., about 1
  • the concentration of the polyornithine in the matrix is about 15 ⁇ g/ml
  • a concentration of the Laminin in the matrix is about 1 ⁇ g/ml
  • a concentration of the Fibronectin in the matrix is about 1 Mg/ml-
  • the third culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
  • FGF2 fibroblast growth factor 2
  • EGF epidermal growth factor
  • the successive isolation comprises at least four isolation steps following at least four culturing steps, wherein a fourth isolation of the at least four isolation steps is effected up to 45 days of a fourth culturing of the at least four culturing steps.
  • the fourth isolation results in a population of cells comprising HES5+ late radial glial cells.
  • the fourth culturing is performed on an extracellular matrix, e.g., an extracellular matrix comprises polyomithine, Laminin and Fibronectin.
  • the fourth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
  • FGF2 fibroblast growth factor 2
  • EGF epidermal growth factor
  • the successive isolation comprises at least five isolation steps following at least five culturing steps, wherein a fifth isolation of the at least five isolation steps is effected up to 140 days of a fifth culturing of the at least five culturing steps.
  • the fifth isolation results in a population of cells comprising HES5+ long term neural progenitor cells.
  • the fifth culturing is performed on an extracellular matrix, e.g., an extracellular matrix comprises polyomithine, Laminin and Fibronectin.
  • the fifth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
  • FGF2 fibroblast growth factor 2
  • EGF epidermal growth factor
  • the concentration of FGF2 in the culture medium is in the range of 1-50 ng/ml, e.g., about 20 ng/ml.
  • the concentration of EGF in the culture medium is in the range of 1-50 ng/ml, e.g., about 20 ng/ml.
  • the concentration of the FGF2 in the medium is about 20 ng/ml
  • a concentration of the EGF in the medium is about 20 ng/ml.
  • a non-limiting example of a culture medium which can be used for the third, fourth and/or fifth culturing steps can be DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (1-50 ng/ml, e.g., about 20 ng/ml) and EGF (1-50 ng/ml, e.g., about 20 ng/ml)
  • the culturing in the third, fourth and/or fifth culturing steps comprises passaging the cells every about 5-8 days, e.g., every 7 days.
  • HES5+ E-RG cells from the second culturing step are isolated and replated on a matrix which comprises polyornithine (15 ⁇ g/ml), Laminin (1 ⁇ g/ml) and Fibronectin (1 ⁇ g/ml) in a medium which comprises: DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (20 ng/ml) and EGF (20 ng/ml).
  • the cells are cultured for 3 weeks (21 days), while being passaged about every 7 days, in order to maintain a proliferative (FGF and EGF responsive) neural progenitor cells state.
  • HES5+ MRG cells isolated following the third culturing step are replated on matrix which comprises polyornithine (15 ⁇ g/ml), Laminin (1 ⁇ g/ml) and Fibronectin (1 ⁇ g/ml) in the presence of a culture medium such as DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (20 ng/ml) and EGF (20 ng/ml).
  • the cells are cultured for up to about 45 days (thus reaching a total of about 80 days in culture from day 0), while being passaged weekly.
  • HES5+ L-NP cells Following is a non-limiting protocol for producing HES5+ L-NP cells: HES5+
  • L-RG cells isolated following the fourth culturing step are replated on a matrix which comprises polyornithine (15 ⁇ ), Laminin (1 ⁇ g/ml) and Fibronectin (1 ⁇ ) with a culture medium such as DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (20 ng/ml) and EGF (20 ng/ml) for up to 140 days (thus reaching a total of about 220 days in culture from day 0), while being passaged weekly.
  • the method of isolating neural progenitor cells further comprising qualifying presence of a neural progenitor cell of interest according to at least one marker comprised in an expression signature of the neural progenitor cells, wherein:
  • an expression signature of HES5+ neuroepithelial cells comprises
  • an expression signature of HES5+ early radial glial cells comprises HES5+/ARX+/FEZF2+/NR2E 1 +;
  • an expression signature of HES5+ mid radial glial cells comprises HES5+/POU3F2+/GLAST+/FABP7+;
  • an expression signature of HES5+ late radial glial cells comprise HES5+/OLIG1+/PDGFRA+/CUX1+/CUX2+/POU3F2+/S100B+/EGFR+;
  • an expression signature of HES5+ long term neural progenitor cells comprise HES5+/ANXA2+/LGALS 1+/EGFR+/ S 100B+.
  • qualifying the HES5+ neuroepithelial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the first isolation step of at least one gene (marker) selected from the group consisting of: TOP2A, HIST1H4C, TRJM71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1 , FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LEVIS 1, CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1, CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM
  • marker selected from the group consist
  • an increase above a predetermined threshold refers to an increase in the level of expression in of a specific gene in certain cells (e.g., the HES5+ cell) measured following a specific isolation step which is higher than the predetermined threshold relative to the level of expression of the same gene in reference cells (e.g., the HES5- cell) measured following the same specific isolation step.
  • qualifying the HES5+ early radial glial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the second isolation step of at least one gene (marker) selected from the group consisting of: NR2E1, HES5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, FAM107A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1 , LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZ1, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7,
  • a gene selected from the
  • qualifying the HES5+ mid radial glial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the third isolation step of at least one gene (marker) selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RABIO, WASF1, ZBED4, EZH2, PPA2, H1F0, CCNJ, 1TGB8, SH3BGRL3, IRX2, KIF23, PEG10, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAP1, LIMCHl , ETNK1 , RNF13, ARID IB, TRIM28, CNOT8, CRNDE, TWSG1, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRK1,
  • marker selected from the group consist
  • qualifying the HES5+ late radial glial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the fourth isolation step of at least one gene (marker) selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1, PDGFRA, COL22A1, KIAA1239, PCDH10, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COL11A1, TRIM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHD1, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51, CHST3, PAG1, MY05C
  • a gene selected from the
  • qualifying the HES5+ long term neural progenitor cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the fifth isolation step of at least one gene (marker) selected from the group consisting of: ANXA2P2, ANXA2, FRASl, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSF10D, S100A6, RNF182, LGALS1, ISL1, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAG1, MMD, PTGR1, PDP1, COL18A1, ZIC4, BASP1 , AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21, and FAM38A as compared to the expression level of the at least one gene in HES5- cells which remain in the group consisting of: ANX
  • the method further comprising qualifying presence of a neural progenitor cell of interest according to epigenetic analysis (e.g., DNA methylation and histone modification) functional phenotype and/or morphological phenotype.
  • epigenetic analysis e.g., DNA methylation and histone modification
  • morphological phenotype e.g., DNA methylation and histone modification
  • Cells of the "NE stage” refer to the cells present following the first culturing step; Cells of the "E-RG stage” or “ERG stage” refer to the cells present following the second culturing step; Cells of the "M-RG stage” or “MRG stage” refer to cells present following the third culturing step; Cells of the "L-RG stage” or “LRG stage” refer to cells present following the fourth culturing step; and Cells of the "LNP stage” refer to cells present following the fifth culturing step.
  • Transcription factors which are upregulated early in neural differentiation of pluripotent stem cells include FOXGL PAX6, ZIC1, SP8 and ARX. These factors are upregulated in NE, E-RG, M-EG, L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
  • Transcription factors which are upregulated in the middle (mid upregulated) of neural differentiation of pluripotent stem cells include NFIA, NFIB and SLITRK3. These factors are upregulated in M-RG, L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
  • Transcription factors which are upregulated late in neural differentiation of pluripotent stem cells include GABBR2, GRIA4, GRM3, DLX1, DLX2, OLIG1, OLIG2 and LGALS1. These factors are upregulated in L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
  • Transcription factors which are upregulated early but transiently during neural differentiation of pluripotent stem cells include HES5, NR2E1, DLL1, EMX2, MEIS2, LGR5, DACH1, PLAGL1 and LGI1. These factors are upregulated in NE, E-RG, and some also in the M-EG stage as compared to their level in undifferentiated pluripotent stem cells (hESC), but this upregulation is transient and reduces during the L-RG and LNP stages ( Figure 6A).
  • Transcription factors which are unique to the HES5- cells of the NE stage include COMES and RSP02 (activated as compared to undifferentiated hESCs). These factors are also upregulated in the M-RG stage in both HES5+ and HES5- as compared to their levels in undifferentiated hESCs.
  • a non-limiting example of a transcription factor which is downregulated early in neural differentiation includes POU5F1. This factor in downregulated in cells of the NE, E-RG, M-EG, L-RG and LNP stages as compared to its level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
  • Transcription factors which are downregulated in the middle (mid upregulated) stage of neural differentiation of pluripotent stem cells include LIN28A, HMGA2 and FUR. These factors are downregulated in M-RG, L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
  • a non-limiting example of a transcription factor which is downregulated late in neural differentiation of pluripotent stem cells includes OTX2. This factor is downregulated in L-RG and LNP stages as compared to its level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
  • the at least one marker comprises a cell surface marker.
  • the at least one marker comprises a secreted marker.
  • the stem cells comprise pluripotent stem cells.
  • the pluripotent stem cells comprise embryonic stem cells.
  • the pluripotent stem cells comprise induced pluripotent stem (iPS) cells.
  • iPS induced pluripotent stem
  • the stem cells are derived from a subject having a CNS disease or disorder.
  • the CNS disease or disorder comprises a motor-neuron disease.
  • the CNS disease or disorder is characterized by cortex damage.
  • the cells of some embodiments of the invention are characterized according to the expression values, epigenetic analyses and/or transcriptional activity provided by the TERA and/or DNAchip and/or RNAseq and/or microarray and/or histon modification and/or DNA methylation analyses provided in the Examples and Tables included in the application as well as in the supplementary Data 1-7 attached herein, which are fully incorporated herein in their entirety.
  • a culture medium for neuroepithelial differentiation comprising noggin, LDN-193189 and SB-431542.
  • the concentration of Noggin in the culture medium is between from 200-300 ng/ml, e.g., about 250 ng/ml (nanograms per milliliter)
  • the concentration of LDN-193189 in the culture medium is from 50-200 nM, e.g., about 100 nM (nanomolar)
  • the concentration of SB-431542 in the culture medium is from 5-20 ⁇ , e.g., about 10 ⁇ (micromolar).
  • the culture medium comprises Noggin (250 ng/ml), LDN-193189 (100 nM) and SB-431542 (10 ⁇ ).
  • the culture medium further comprises sonic hedgehog.
  • the concentration of Sonic hedgehog in the culture medium is about 10-50 ng/ml, e.g., about 30 ng/ml.
  • stem cells refers to cells which are capable of remaining in an undifferentiated state (e.g., pluripotent or multipotent stem cells) for extended periods of time in culture until induced to differentiate into other cell types having a particular, specialized function (e.g., fully differentiated cells).
  • stem cells encompasses embryonic stem cells (ESCs), induced pluripotent stem cells (iPS), adult stem cells and hematopoietic stem cells.
  • embryonic stem cells refers to embryonic cells which are capable of differentiating into cells of all three embryonic germ layers (i.e., endoderm, ectoderm and mesoderm), or remaining in an undifferentiated state.
  • embryonic stem cells may comprise cells which are obtained from the embryonic tissue formed after gestation (e.g., blastocyst) before implantation of the embryo (i.e., a pre-implantation blastocyst), extended blastocyst cells (EBCs) which are obtained from a post- implantation/pre-gastrulation stage blastocyst (see WO2006/040763) and embryonic germ (EG) cells which are obtained from the genital tissue of a fetus any time during gestation, preferably before 10 weeks of gestation.
  • gestation e.g., blastocyst
  • EBCs extended blastocyst cells
  • EG embryonic germ
  • Induced pluripotent stem cells are cells obtained by de-differentiation of adult somatic cells which are endowed with pluripotency (i.e., being capable of differentiating into the three embryonic germ cell layers, i.e., endoderm, ectoderm and mesoderm).
  • pluripotency i.e., being capable of differentiating into the three embryonic germ cell layers, i.e., endoderm, ectoderm and mesoderm.
  • such cells are obtained from a differentiated tissue (e.g., a somatic tissue such as skin) and undergo de-differentiation by genetic manipulation which re-program the cell to acquire embryonic stem cells characteristics.
  • the induced pluripotent stem cells are formed by inducing the expression of Oct-4, Sox2, Kfl4 and c-Myc in a somatic stem cell.
  • adult stem cells also called “tissue stem cells” or a stem cell from a somatic tissue refers to any stem cell derived from a somatic tissue [of either a postnatal or prenatal animal (especially the human)].
  • the adult stem cell is generally thought to be a multipotent stem cell, capable of differentiation into multiple cell types.
  • Adult stem cells can be derived from any adult, neonatal or fetal tissue such as adipose tissue, skin, kidney, liver, prostate, pancreas, intestine, bone marrow and placenta.
  • Hematopoietic stem cells which may also referred to as adult tissue stem cells, include stem cells obtained from blood or bone marrow tissue of an individual at any age or from cord blood of a newborn individual.
  • Preferred stem cells according to this aspect of some embodiments of the invention are embryonic stem cells, preferably of a human or primate (e.g., monkey) origin.
  • Placental and cord blood stem cells may also be referred to as "young stem cells”.
  • the embryonic stem cells of some embodiments of the invention can be obtained using well-known cell-culture methods.
  • human embryonic stem cells can be isolated from human blastocysts.
  • Human blastocysts are typically obtained from human in vivo preimplantation embryos or from in vitro fertilized (IVF) embryos.
  • IVF in vitro fertilized
  • a single cell human embryo can be expanded to the blastocyst stage.
  • the zona pellucida is removed from the blastocyst and the inner cell mass (ICM) is isolated by immunosurgery, in which the trophectoderm cells are lysed and removed from the intact ICM by gentle pipetting.
  • ICM inner cell mass
  • the ICM is then plated in a tissue culture flask containing the appropriate medium which enables its outgrowth. Following 9 to 15 days, the ICM derived outgrowth is dissociated into clumps either by a mechanical dissociation or by an enzymatic degradation and the cells are then re-plated on a fresh tissue culture medium. Colonies demonstrating undifferentiated morphology are individually selected by micropipette, mechanically dissociated into clumps, and re-plated. Resulting ES cells are then routinely split every 4-7 days. For further details on methods of preparation human ES cells see Thomson et al., [U.S. Pat. No. 5,843,780; Science 282: 1145, 1998; Curr. Top. Dev. Biol.
  • ES cells can be purchased from the ⁇ human embryonic stem cells registry [Hypertext Transfer Protocol ://grants (dot) nih (dot) gov/stem_cells/registry /current (dot) htm].
  • Non- limiting examples of commercially available embryonic stem cell lines are BG01, BG02, BG03, BG04, CY12, CY30, CY92, CY10, TE03, TE32, CHB-4, CHB-5, CHB- 6, CHB-8, CHB-9, CHB-10, CHB-11 , CHB-12, HUES 1, HUES 2, HUES 3, HUES 4, HUES 5, HUES 6, HUES 7, HUES 8, HUES 9, HUES 10, HUES 11, HUES 12, HUES 13, HUES 14, HUES 15, HUES 16, HUES 17, HUES 18, HUES 19, HUES 20, HUES 21, HUES 22, HUES 23, HUES 24, HUES 25, HUES 26, HUES 27, HUES 28, CyT49, RUES3, WA01, UCSF4, NYUESl, NYUES2, NYUES3, NYUES4, NYUES5, NYUES6, NYUES7, UCLA 1, UCLA 2, UCLA 3, WA077
  • ES cells can be obtained from other species as well, including mouse (Mills and Bradley, 2001), golden hamster [Doetschman et al., 1988, Dev Biol. 127: 224-7], rat [lannaccone et al., 1994, Dev Biol. 163: 288-92] rabbit [Giles et al. 1993, Mol Reprod Dev. 36: 130-8; Graves & Moreadith, 1993, Mol Reprod Dev. 1993, 36: 424-33], several domestic animal species [Notarianni et al., 1991, J Reprod Fertil Suppl. 43: 255-60; Wheeler 1994, Reprod Fertil Dev.
  • EBCs Extended blastocyst cells
  • EBCs can be obtained from a blastocyst of at least nine days post fertilization at a stage prior to gastrulation.
  • the zona pellucida Prior to culturing the blastocyst, the zona pellucida is digested [for example by Tyrode's acidic solution (Sigma Aldrich, St Louis, MO, USA)] so as to expose the inner cell mass.
  • the blastocysts are then cultured as whole embryos for at least nine and no more than fourteen days post fertilization (i.e., prior to the gastrulation event) in vitro using standard embryonic stem cell culturing methods.
  • EG cells are prepared from the primordial germ cells obtained from fetuses of about 8-11 weeks of gestation (in the case of a human fetus) using laboratory techniques known to anyone skilled in the arts.
  • the genital ridges are dissociated and cut into small chunks which are thereafter disaggregated into cells by mechanical dissociation.
  • the EG cells are then grown in tissue culture flasks with the appropriate medium.
  • the cells are cultured with daily replacement of medium until a cell morphology consistent with EG cells is observed, typically after 7-30 days or 1-4 passages.
  • Shamblott et al. [Proc. Natl. Acad. Sci. USA 95: 13726, 1998] and U.S. Patent No. 6,090,622.
  • iPS Induced pluripotent stem cells
  • somatic cells can be generated from somatic cells by genetic manipulation of somatic cells, e.g., by retroviral transduction of somatic cells such as fibroblasts, hepatocytes, gastric epithelial cells with transcription factors such as Oct-3/4, Sox2, c-Myc, and KLF4 [Yamanaka S, Cell Stem Cell. 2007, l(l):39-49; Aoi T, et al., Generation of Pluripotent Stem Cells from Adult Mouse Liver and Stomach Cells. Science. 2008 Feb 14. (Epub ahead of print); Hi Park, Zhao R, West JA, et al.
  • embryonic-like stem cells can be generated by nuclear transfer to oocytes, fusion with embryonic stem cells or nuclear transfer into zygotes if the recipient cells are arrested in mitosis.
  • Fetal stem cells can be isolated using various methods known in the art such as those disclosed by Eventov-Friedman S, et al., PLoS Med. 2006, 3: e215; Eventov-Friedman S, et al., Proc Natl Acad Sci U S A. 2005, 102: 2928- 33; Dekel B, et al., 2003, Nat Med. 9: 53-60; and Dekel B, et al., 2002, J. Am. Soc. Nephrol. 13: 977-90.
  • Hematopoietic stem cells can be isolated using various methods known in the arts such as those disclosed by "Handbook of Stem Cells” edit by Robert Lanze, Elsevier Academic Press, 2004, Chapter 54, pp609-614, isolation and characterization of hematopoietic stem cells, by Gerald J Spangrude and William B Stayton.
  • adult tissue stem cells are based on the discrete location (or niche) of each cell type included in the adult tissue, i.e., the stem cells, the transit amplifying cells and the terminally differentiated cells [Potten, C. S. and Morris, R. J. (1988). Epithelial stem cells in vivo. J. Cell Sci. Suppl. 10, 45-62].
  • an adult tissue such as, for example, prostate tissue is digested with Collagenase and subjected to repeated unit gravity centrifugation to separate the epithelial structures of the prostate (e.g., organoids, acini and ducts) from the stromal cells.
  • Organoids are then disaggregated into single cell suspensions by incubation with Trypsin/EDTA (Life Technologies, Paisley, UK) and the basal, CD44-positive, stem cells are isolated from the luminal, CD57-positive, terminally differentiated secretory cells, using anti-human CD44 antibody (clone G44-26; Pharmingen, Becton Dickinson, Oxford, UK) labeling and incubation with MACS (Miltenyi Biotec Ltd, Surrey, UK) goat anti-mouse IgG microbeads.
  • MACS Miltenyi Biotec Ltd, Surrey, UK
  • the cell suspension is then applied to a MACS column and the basal cells are eluted and re-suspended in WAJC 404 complete medium [Robinson, E.J. et al. (1998). Basal cells are progenitors of luminal cells in primary cultures of differentiating human prostatic epithelium Prostate 37, 149-160].
  • basal stem cells can adhere to basement membrane proteins more rapidly than other basal cells [Jones, P.H. et al. (1995). Stem cell patterning and fate in human epidermis. Cell 60, 83-93; Shinohara, T., et al. (1999). ⁇ - and a6-integrin are surface markers on mouse spermatogonia! stem cells. Proc. Natl. Acad. Sci.
  • the CD44 positive basal cells are plated onto tissue culture dishes coated with either type I collagen (52 ⁇ g/ml), type IV collagen (88 ⁇ g/ml) or laminin 1 (100 ⁇ g/ml; Biocoat®, Becton Dickinson) previously blocked with 0.3 % bovine serum albumin (fraction V, Sigma- Aldrich, Poole, UK) in Dulbecco's phosphate buffered saline (PBS; Oxoid Ltd, Basingstoke, UK). Following 5 minutes, the tissue culture dishes are washed with PBS and adherent cells, containing the prostate tissue basal stem cells are harvested with trypsin-EDTA.
  • type I collagen 52 ⁇ g/ml
  • type IV collagen 88 ⁇ g/ml
  • laminin 1 100 ⁇ g/ml
  • Biocoat® Becton Dickinson
  • undifferentiated stem cells are of a distinct morphology, which is clearly distinguishable from differentiated cells of embryo or adult origin by the skilled in the art. Typically, undifferentiated stem cells have high nuclear/cytoplasmic ratios, prominent nucleoli and compact colony formation with poorly discernable cell junctions. Additional features of undifferentiated stem cells are further described hereinunder.
  • RNA expression level of the RNA in the cells of some embodiments of the invention can be determined using methods known in the arts.
  • Northern Blot analysis This method involves the detection of a particular RNA in a mixture of RNAs.
  • An RNA sample is denatured by treatment with an agent (e.g., formaldehyde) that prevents hydrogen bonding between base pairs, ensuring that all the RNA molecules have an unfolded, linear conformation.
  • the individual RNA molecules are then separated according to size by gel electrophoresis and transferred to a nitrocellulose or a nylon-based membrane to which the denatured RNAs adhere.
  • the membrane is then exposed to labeled DNA probes.
  • Probes may be labeled using radioisotopes or enzyme linked nucleotides. Detection may be using autoradiography, colorimetric reaction or chemiluminescence. This method allows both quantitation of an amount of particular RNA molecules and determination of its identity by a relative position on the membrane which is indicative of a migration distance in the gel during electrophoresis.
  • RNA molecules are purified from the cells and converted into complementary DNA (cDNA) using a reverse transcriptase enzyme (such as an MMLV-RT) and primers such as, oligo dT, random hexamers or gene specific primers. Then by applying gene specific primers and Taq DNA polymerase, a PCR amplification reaction is carried out in a PCR machine.
  • a reverse transcriptase enzyme such as an MMLV-RT
  • primers such as, oligo dT, random hexamers or gene specific primers.
  • a PCR amplification reaction is carried out in a PCR machine.
  • Those of skills in the art are capable of selecting the length and sequence of the gene specific primers and the PCR conditions (i.e., annealing temperatures, number of cycles and the like) which are suitable for detecting specific RNA molecules. It will be appreciated that a semi-quantitative RT- PCR reaction can be employed by adjusting the number of PCR cycles and comparing the a
  • RNA in situ hybridization stain DNA or RNA probes are attached to the RNA molecules present in the cells.
  • the cells are first fixed to microscopic slides to preserve the cellular structure and to prevent the RNA molecules from being degraded and then are subjected to hybridization buffer containing the labeled probe.
  • the hybridization buffer includes reagents such as formamide and salts (e.g., sodium chloride and sodium citrate) which enable specific hybridization of the DNA or RNA probes with their target mRNA molecules in situ while avoiding nonspecific binding of probe.
  • formamide and salts e.g., sodium chloride and sodium citrate
  • any unbound probe is washed off and the bound probe is detected using known methods.
  • a radio-labeled probe is used, then the slide is subjected to a photographic emulsion which reveals signals generated using radio-labeled probes; if the probe was labeled with an enzyme then the enzyme- specific substrate is added for the formation of a colorimetric reaction; if the probe is labeled using a fluorescent label, then the bound probe is revealed using a fluorescent microscope; if the probe is labeled using a tag (e.g., digoxigenin, biotin, and the like) then the bound probe can be detected following interaction with a tag-specific antibody which can be detected using known methods.
  • a tag e.g., digoxigenin, biotin, and the like
  • PCR polymerase chain reaction
  • RT-PCR reverse transcriptase polymerase chain reaction
  • Pathol Res Pract. 1994, 190: 1017-25 the RT-PCR reaction is performed on fixed cells by incorporating labeled nucleotides to the PCR reaction.
  • the reaction is carried on using a specific in situ RT-PCR apparatus such as the laser-capture microdissection PixCell I LCM system available from Arcturus Engineering (Mountainview, CA).
  • DNA microarrays consist of thousands of individual gene sequences attached to closely packed areas on the surface of a support such as a glass microscope slide.
  • Various methods have been developed for preparing DNA microarrays. In one method, an approximately 1 kilobase segment of the coding region of each gene for analysis is individually PCR amplified.
  • a robotic apparatus is employed to apply each amplified DNA sample to closely spaced zones on the surface of a glass microscope slide, which is subsequently processed by thermal and chemical treatment to bind the DNA sequences to the surface of the support and denature them.
  • such arrays are about 2 x 2 cm and contain about individual nucleic acids 6000 spots.
  • multiple DNA oligonucleotides usually 20 nucleotides in length, are synthesized from an initial nucleotide that is covalently bound to the surface of a support, such that tens of thousands of identical oligonucleotides are synthesized in a small square zone on the surface of the support.
  • Multiple oligonucleotide sequences from a single gene are synthesized in neighboring regions of the slide for analysis of expression of that gene. Hence, thousands of genes can be represented on one glass slide.
  • Such arrays of synthetic oligonucleotides may be referred to in the art as “DNA chips”, as opposed to “DNA microarrays”, as described above [Lodish et al. (eds.). Chapter 7.8: DNA Microarrays: Analyzing Genome-Wide Expression. In: Molecular Cell Biology, 4th ed., W. H. Freeman, New York. (2000)] .
  • oligonucleotide microarray In this method oligonucleotide probes capable of specifically hybridizing with the polynucleotides of some embodiments of the invention are attached to a solid surface (e.g., a glass wafer). Each oligonucleotide probe is of approximately 20-25 nucleic acids in length.
  • a specific cell sample e.g., blood cells
  • RNA is extracted from the cell sample using methods known in the art (using e.g., a TRIZOL solution, Gibco BRL, USA).
  • Hybridization can take place using either labeled oligonucleotide probes (e.g., 5'-biotinylated probes) or labeled fragments of complementary DNA (cDNA) or RNA (cRNA).
  • labeled oligonucleotide probes e.g., 5'-biotinylated probes
  • cDNA complementary DNA
  • cRNA RNA
  • double stranded cDNA is prepared from the RNA using reverse transcriptase (RT) (e.g., Superscript ⁇ RT), DNA ligase and DNA polymerase I, all according to manufacturer's instructions (Invitrogen Life Technologies, Frederick, MD, USA).
  • RT reverse transcriptase
  • DNA ligase DNA polymerase I
  • the double stranded cDNA is subjected to an in vitro transcription reaction in the presence of biotinylated nucleotides using e.g., the BioArray High Yield RNA Transcript Labeling Kit (Enzo, Diagnostics, Affymetix Santa Clara CA).
  • the labeled cRNA can be fragmented by incubating the RNA in 40 mM Tris Acetate (pH 8.1), 100 mM potassium acetate and 30 mM magnesium acetate for 35 minutes at 94 °C.
  • the microarray is washed and the hybridization signal is scanned using a confocal laser fluorescence scanner which measures fluorescence intensity emitted by the labeled cRNA bound to the probe arrays.
  • each gene on the array is represented by a series of different oligonucleotide probes, of which, each probe pair consists of a perfect match oligonucleotide and a mismatch oligonucleotide. While the perfect match probe has a sequence exactly complimentary to the particular gene, thus enabling the measurement of the level of expression of the particular gene, the mismatch probe differs from the perfect match probe by a single base substitution at the center base position.
  • the hybridization signal is scanned using the Agilent scanner, and the Microarray Suite software subtracts the non-specific signal resulting from the mismatch probe from the signal resulting from the perfect match probe.
  • Expression and or activity level of proteins expressed in the cells of the cultures of some embodiments of the invention can be determined using methods known in the arts.
  • Enzyme linked immunosorbent assay This method involves fixation of a sample (e.g., fixed cells or a proteinaceous solution) containing a protein substrate to a surface such as a well of a microtiter plate. A substrate specific antibody coupled to an enzyme is applied and allowed to bind to the substrate. Presence of the antibody is then detected and quantitated by a colorimetric reaction employing the enzyme coupled to the antibody. Enzymes commonly employed in this method include horseradish peroxidase and alkaline phosphatase. If well calibrated and within the linear range of response, the amount of substrate present in the sample is proportional to the amount of color produced. A substrate standard is generally employed to improve quantitative accuracy.
  • Western blot This method involves separation of a substrate from other protein by means of an acrylamide gel followed by transfer of the substrate to a membrane (e.g., nylon or PVDF). Presence of the substrate is then detected by antibodies specific to the substrate, which are in turn detected by antibody binding reagents.
  • Antibody binding reagents may be, for example, protein A, or other antibodies. Antibody binding reagents may be radiolabeled or enzyme linked as described hereinabove. Detection may be by autoradiography, colorimetric reaction or chemiluminescence. This method allows both quantitation of an amount of substrate and determination of its identity by a relative position on the membrane which is indicative of a migration distance in the acrylamide gel during electrophoresis.
  • Radio -imm u n oassay In one version, this method involves precipitation of the desired protein (i.e., the substrate) with a specific antibody and radiolabeled antibody binding protein (e.g., protein A labeled with I 125 ) immobilized on a precipitable carrier such as agarose beads. The number of counts in the precipitated pellet is proportional to the amount of substrate.
  • a specific antibody and radiolabeled antibody binding protein e.g., protein A labeled with I 125
  • a labeled substrate and an unlabelled antibody binding protein are employed.
  • a sample containing an unknown amount of substrate is added in varying amounts.
  • the decrease in precipitated counts from the labeled substrate is proportional to the amount of substrate in the added sample.
  • Fluorescence activated cell sorting This method involves detection of a substrate in situ in cells by substrate specific antibodies.
  • the substrate specific antibodies are linked to fluorophores. Detection is by means of a cell sorting machine which reads the wavelength of light emitted from each cell as it passes through a light beam. This method may employ two or more antibodies simultaneously.
  • Immunohistochemical analysis This method involves detection of a substrate in situ in fixed cells by substrate specific antibodies.
  • the substrate specific antibodies may be enzyme linked or linked to fluorophores. Detection is by microscopy and subjective or automatic evaluation. If enzyme linked antibodies are employed, a colorimetric reaction may be required. It will be appreciated that immunohistochemistry is often followed by counters taining of the cell nuclei using for example Hematoxyline or Giemsa stain.
  • In situ activity assay According to this method, a chromogenic substrate is applied on the cells containing an active enzyme and the enzyme catalyzes a reaction in which the substrate is decomposed to produce a chromogenic product visible by a light or a fluorescent microscope.
  • In vitro activity assays In these methods the activity of a particular enzyme is measured in a protein mixture extracted from the cells. The activity can be measured in a spectrophotometer well using colorimetric methods or can be measured in a non- denaturing acrylamide gel ⁇ i.e., activity gel). Following electrophoresis the gel is soaked in a solution containing a substrate and colorimetric reagents. The resulting stained band corresponds to the enzymatic activity of the protein of interest. If well calibrated and within the linear range of response, the amount of enzyme present in the sample is proportional to the amount of color produced. An enzyme standard is generally employed to improve quantitative accuracy.
  • compositions, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.
  • a compound or “at least one compound” may include a plurality of compounds, including mixtures thereof.
  • range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.
  • method refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.
  • treating includes abrogating, substantially inhibiting, slowing or reversing the progression of a condition, substantially ameliorating clinical or aesthetical symptoms of a condition or substantially preventing the appearance of clinical or aesthetical symptoms of a condition.
  • sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides.
  • hESC human ES cell line H9 (WA- 09, XX, Wicell)-derived BAG transgenic HES5::eGFP line (Placantonakis, D ET AL., 2008) was cultured on mitotically inactivated mouse embryonic fibroblasts (MEFs) (Globalstem). Undifferentiated hESCs were maintained in medium containing DMEM/F12, 20% KSR (knockout serum replacement), 1 mM Glutamine, 1% Penicillin/Streptomycin, non-essential amino acids, beta-mercaptoethanol and Fibroblast growth factor 2 (FGF2) (10 ng/ml).
  • FGF2 Fibroblast growth factor 2
  • Undifferentiated ES cells were purified with pluripotency markers Alexa 647-conjugated Tra-1-60 and PE-conjugated SSEA-3 (BD Pharmingen).
  • hESC colonies were removed from mouse embryonic fibroblasts (MEFs) by Dispase (6 U/ml, Worthington), dissociated with Accutase (Innovative Cell Technologies, Inc.), plated at sub confluent cell density [40- 50xl0 3 cells/cm 2 , although twice higher density or alternatively small hESC clusters work well and accelerate confluence] on MatrigelTM (1:20, BD BIOSCIENCES) coated dishes, and supplemented with MEF-conditioned media and 10 ⁇ ROCK inhibitor (Y- 27632, Tocris) with daily fresh FGF2 (10 ng/ml, R&D SYSTEMS).
  • neuroepithelial cells were generated either by monolayer induction - with dissociated ES cells plated on MatrigelTM (BD biosciences), or by co-culture on MS5 stromal cells. Confluent cultures were subjected to dual SMAD inhibition neural differentiation protocol [Chambers, S. M. et al. Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling. Nat Biotechnol 27, 275-280, 2009] containing Noggin (R&D, 250 ng/ml) and SB-431542 (10 ⁇ , Tocris), and further supplemented with LDN-193189 (100 nM, Stemgent) (denoted LNSB protocol).
  • SMAD inhibition neural differentiation protocol [Chambers, S. M. et al. Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling. Nat Biotechnol 27, 275-280, 2009] containing Noggin (R&D, 250 ng/
  • HES5::eGFP usually appears on day 8 or 9.
  • NE cells were scrapped from plates on day 10-12, pre-incubated with Ca +2 /Mg +2 free HBSS (Hanks Balanced Salt Solution) followed by collagenase II (2.5 mg/ml), Collagenase IV (2.5 mg/ml) and DNAse (0.5 mg/ml) solution (all from Worthington) (37°C, 20 minutes). Cells were then dissociated and replated at high density (500,000 cells/cm 2 ) on moist MatrigelTM drops, and grown for additional days till rosettes appeared (E-RG stage).
  • E-RG stage rosettes could be also formed by co-culture of hESC clusters with MS5 stromal cells as previously described [Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)].
  • NE cells and Neural rosettes on MS5 were harvested mechanically beginning on day 8-10 of differentiation, replated on culture dishes pre- coated with 15 ⁇ g/ml polyornithine (Sigma), 1 ⁇ g/ml Laminin (BD Biosciences) and 1 ⁇ g/ml Fibronectin (BD Biosciences) (Po/Lam/FN) till Day 14, to obtain E-RG rosettes.
  • NE cells were cultured from Day 9 with N2 medium (composed of DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone), and further supplemented with low SHH (30 ng/ml), FGF8 (100 ng/ml) and BDNF (5 ng/ml) (all from R&D Systems) to induce and maintain early anterior regionalization of the neural plate.
  • N2 medium composed of DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone
  • low SHH (30 ng/ml), FGF8 (100 ng/ml) and BDNF (5 ng/ml) (all from R&D Systems) to induce and maintain early anterior regionalization of the neural plate.
  • SHH sonic hedgehog
  • FGF8 fibroblast growth factor 8
  • FGF2 (20 ng/ml) and EGF (20 ng/ml) in the following two weeks of differentiation in order to maintain a proliferative (FGF and EGF responsive) NPC state on Day 28 (all cytokines from R&D Systems).
  • FACS for GFP was used to sort HES5::GFP cells of NE to LRG.
  • EGFR antibody was used to sort for LNP cells, all as a purpose to purify for the highest NPC state for each stage.
  • NE cells were collected at day 12 of differentiation, ERG were collected at day 14, mid neurogenesis radial glial (ERG) cells were collected at day 35, late gliogenic radial glial (LRG) cells were collected at day 80, and long term NPCs (LNP) were collected at day 220.
  • ERG mid neurogenesis radial glial
  • LRG late gliogenic radial glial
  • LNP long term NPCs
  • HES5+ sorted NPCs were seeded at high density and subjected to mitogen withdrawal differentiation medium for 17 days which included N2 supplemented with Ascorbic Acid (AA)/BDNF (neuronal; NEdN, ERGdN, MRGdN) or 5% Fetal Bovine Serum (FBS) (Invitrogen) (glial) (LRGdA).
  • AA Ascorbic Acid
  • BDNF neurovascular; NEdN, ERGdN, MRGdN
  • FBS Fetal Bovine Serum
  • glial LRGdA
  • dA refers to differentiated to glial cells such as astrocytes and oligodendrocytes.
  • Neural patterning and cortical laminar specification - Neural patterning was performed in parallel to or immediately following neural induction.
  • hESCs were neurally induced on MatrigelTM as previously described (Kriks, S. et al. Dopamine neurons derived from human ES cells efficiently engraft in animal models of Parkinson's disease. Nature 480, 547-551, 2011), and treated with SHH C25II (100 ng/ml, R&D), FGF8 (100 ng/ml) and CHIR99021 (3 ⁇ , Stemgent).
  • GFP+ and GFP- NE cells were separated by FACS, replated at very high density (400,000 cells/cm 2 ), followed by terminal differentiation with Neurobasal medium (Invitrogen) supplemented with BDNF (20 ng/ml), ascorbic acid (AA) (0.2 mM, Sigma), GDNF (20 ng/ml), TGF ⁇ 3 (1 ng/ml), dibutyryl cAMP (0.5 mM, Sigma), and DAPT (10 ⁇ , Tocris) for 14 additional days.
  • Neurobasal medium Invitrogen
  • BDNF 20 ng/ml
  • AA ascorbic acid
  • GDNF 20 ng/ml
  • TGF ⁇ 3 1 ng/ml
  • dibutyryl cAMP 0.5 mM, Sigma
  • DAPT ⁇ , Tocris
  • hESC derived neurally induced cells either on MATRIGELTM or MS5 were dissociated on day 12-14, and GFP+ and GFP- cells were separated by FACS and replated on Po/Lam/FN (MS 5 protocol) or MATRIGELTM drops (MatrigelTM protocol) at medium density (200,000 cells/cm 2 ) and treated with Retinoic Acid (RA, 1 ⁇ , Sigma) and SHH C25II (125 ng/ml) till Day 28 as previously described (Elkabetz, Y. et al 2008).
  • MATRIGELTM drops MatrigelTM protocol
  • NE cells on Day 12 were sorted for GFP+ and GFP- populations, replated and cultured with N2 supplemented with AA and BDNF.
  • DAPT was added to the differentiation medium (5 ⁇ ) from day 2 of differentiation till the rest of differentiation period.
  • Notch at early neural induction Figures 9D-F
  • DAPT was added at 5 ⁇ in day 2 or day 6 and cells were harvested for analysis on day 9.
  • E- RG rosettes were passaged through mechanical splitting till Day 80 or Day 220 with FGF2/EGF and BDNF.
  • Either sorted GFP+ and GFP- populations (L-RG stage) or unsorted cells (LNP stage) were replated at high density and differentiated for 14 days in the presence of AA and BDNF for neuronal progeny, with 5% Fetal Bovine Serum (FBS) (Invitrogen) for astrocytic progeny, or with AA, BDNF, SHH C25II (100 ng/ml) and FGF8 for oligodendrocytic progeny according to the inventors' previous protocol (Lafaille, F. G. et al. Impaired intrinsic immunity to HSV-1 in human iPSC-derived TLR3-deficient CNS cells. Nature 491, 769-773, 2012).
  • Immunostaining and confocal imaging - Cells were fixed in 4% paraformaldehyde, 0.15% picric acid, permeabilized and blocked with PBS, 1% FBS and 0.3% Triton solution, and stained with indicated primary antibodies (see below) followed by AlexaFluor secondary antibodies (Invitrogen). Cells were imaged in phosphate buffered saline (PBS) after staining. All cell imaging was carried out in 24 well glass bottom plates (In Vitro scientific). Fluorescence images were obtained using a confocal microscope LSM710 (Carl Zeiss Microimaging, Germany).
  • Time-lapse green fluorescent protein (GFP) and matched Phase contrast images were acquired using Nikon Eclipse Ti-E microscope every 5 minutes for approximately 4 hours. Images and movies were generated and analyzed using the Zeiss ZEN 2011 software (Carl Zeiss, Inc.) and NIS elements (Nikon), respectively. All images were exported in TIF and their contrast and brightness were optimized in Adobe Photoshop under the same settings per each marker across all stages and as well as across HES5+ and HES5+ populations.
  • Neuronal output level quantification was performed by marker/DAPI ratio calculation and statistics of the entire cells in at least two (mostly three) independently taken images for a one representative experiment performed in parallel for all differentiation markers and across all stages. Note that counting is affected also by cells with positive but weak marker appearance, depending on stage examined and epitope tested (such as RELN). Additional quantitative aspects are shown in the quantitative PCR (qPCR) charts for all genes across HES5+ and HES5- and across all stages in Figures 11A-K.
  • Antibody list - Antibodies for CTIP2 (abl8465, 1:500), CUX1 (ab54583, 1:500), PE-conjugated anti EGFR (ab231, 1:50), LGALSl (ab25138, 1:1000), Lm28 (ab46020, 1:1000), PHH3 (ab5176, 1:250), PLZF (ab 104854, 1:100), POU3F2 (ab94977, 1:1000), SATB2 (ab51502, 1 :50), SOX1 (1:1000), SOX2 (ab79351, 1:500), TBR1 (ab31940, 1:200), TBR2 (ab23345, 1:200) were from Abeam.
  • Antibodies for BrdU 347580, 50 ⁇ /test), KI67 (556003, 1 :1000), phycoerythrin-conjugated SSEA-3 (560237, 20 ⁇ /test), Alexa Fluor 647-conjugated TRA-1- 60-647 (560850, 5 ⁇ /test), Alexa Fluor 647-conjugated TUJ1 (560340, 1 :500) were from BD Biosciences.
  • Antibodies for DCX (AB2253, 1:5000), 04 (MAB345, 1:25), RELN (MAB5364, 1:200), Tyrosine Hydroxylase (AB152, 1:500) were purchased from Millipore.
  • Antibodies for FABP7 (51010-1-AP, 1:100), S100B (15146-1-AP, 1:100) were from ProteinTech. Antibodies for ⁇ 2 ⁇ (3B5 concentrated, 1:100) and PAX6 (supernatant, 1:16) were from DSHB. Antibody for NESTIN (MO15012, 1:500) was from Neuromics. Antibody for GFAP (Z0334, 1:2000) was from DAKO. Antibody for ⁇ -3- Tubulin (PRB-435P, 1:1000) was from Covance. Antibody for GLAST (ACSA-1) (130- 095-822, 1:10) was from Miltenyi Biotec.
  • qPCR Quantitative PCR analysis - RNA was extracted using miRNeasy kit (Qiagene) followed by Maxima reverse transcription reaction kit (Fermentas). 1 ng (nanogram) of cDNA was subjected to qPCR using the primers depicted hereinbelow, ABsoluteTM QPCR SYBR® Green ROX Mix (ABgene) and ViiA-7 cycler (ABI). Threshold cycle values were determined in triplicates and presented as average compared to HPRT. Fold changes were calculated using the 2-ACT method. For reverse transcriptase (RT)-PCR data evaluation for Figures 3B-D, RT- PCR data was collected in triplicates, log2 transformed and normalized to HPRT.
  • RT reverse transcriptase
  • Primer set list (all for human genes) - BRN1 (POU3F3) Forward, 5'- TGGACTCAACAGCCACGAC -3' (SEQ ID NO:l) and Reverse 5'- CTTG AACTGCTTGGCG AAC-3 ' (SEQ ID NO:2); BRN2 (POU3F2) Forward, 5'- TGTATGGCAACGTGTTCTCG-3 ' (SEQ ID NO:3) and Reverse 5'- CCTCCTCCAACCACTTGTTC-3' (SEQ ID NO:4); CTIP2 Forward, 5'- TCC AGAGC A ATCTC ATCGTG-3 ' (SEQ ID NO:5) and Reverse 5'- GC ATGTGCGTCTTC ATGTG-3 ' (SEQ ID NO:6); CUX1 Forward, 5'- C AAC AAGG AATTTGCTGAAGTG-3 ' (SEQ ID NO:7) and Reverse 5 - CTATGGTTTCGGCTTGGTTC-3 ' (SEQ ID NO:8); CUX
  • Fluorescent activated cell sorting FACS - Cell sorting was performed using ARIA flow cytometer (Beckton Dickinson). NE cells were dissociated with collagenase II (2.5 mg/ml), Collagenase IV (2.5 mg/ml) and DNAse (10 mg/nil) (all from Worthington) solution (37°C, 20 minutes). E-RG and subsequent stages were dissociated either with Accutase (37°C, 15 minutes) or Ca +2 /Mg +2 free HBSS (RT, 1 hour). All stages were FACS sorted to GFP+ and GFP- gated populations following exclusion of dead cells with DAPI. L-RG and LNP stages were also analyzed for EGFR abundance.
  • Undifferentiated hESCs were sorted for the pluripotency markers Tra-1-60 and SSEA-4.
  • Microarray data processingand analysis For all array hybridizations, GeneChip Prime View Human Arrays were used and deposited in GEO. (GEO# TBD). Normalized log2 transformed probe level intensities were collapsed onto MGI gene symbols yielding 19,448 gene level measurements. Next, genes were filtered for a minimum log2 change of 1 or greater across between any pair of samples as well as a minimum log! expression level of 3 or greater in at least one sample. The results yielded 6371 gene entries, which are listed in Supplementary Data 6, which is fully incorporated herein by reference in its entirety.
  • the expression patterns were defined based on all possibilities of gene up-regulation between consecutive differentiation stages, e.g. up- regulated from hESCs to NE, but down in E-RG, up- regulated from hESCs to NE and not changing from NE to E-RG but down-regulated from E-RG to M-RG etc. Differential expression between two stages was defined as a minimum log2 expression change of 1 or greater.
  • the present inventors classified 496 genes, which are listed in Table 3, hereinbelow to follow one of these patterns. Subsequently, each cluster was subjected to gene set enrichment analysis. The results are shown in Figure 6A.
  • the present inventors used 1% SDS, 10 mM EDTA and 50 mM Tris-HCl pH 8.1 complemented with protease inhibitor.
  • the chromatin was then fragmented with a Branson Sonifier (model S-450D) at 4°C, calibrated to a size range of 200 and 800 bp. Chromatin was mixed with antibody and incubated at 4°C overnight. Protein-A and Protein-G Dynabeads were added to chromatin/antibody mix (Invitrogen, 100-02D andl00-07D, respectively) and incubated for 1-2 hours at 4°C.
  • Adaptor ligation DNA ligase (New England Biolabs) and indexed oligo adaptors and incubated 25°C for 15 minutes, followed by 0.7X SPRI/reaction to remove non-ligated adaptors.
  • PCR enrichment PCR mastermix (primer set, dNTP mix, Pfu Ultra Buffer (Agilent), Pfu Ultra- ⁇ Fusion (Agilent), water), for 20 cycles.
  • the PCR amplified libraries were cleaned up using 0.7X SPRI/reaction (size selection mode) to remove excessive primers. Roughly 5 picomoles of DNA library was then applied to each lane of the flow cell and sequenced on Alumina HiSeq 2000 sequencers according to standard Illumina protocols.
  • DNA libraries were constructed using standard Illumina protocols for blunt-ending, polyA extension, and ligation.
  • MyOne Silane beads (Life Technologies 37002D), were used to purify DNA fragments following each step of the library preparation. Adapter ligation was performed overnight at 16°C. Ligated DNA was then PCR amplified and gel size selected for fragments between 150 and 700 bp. Samples were sequenced using Illumina HiSeq at a target sequencing depth of 20 million uniquely aligned reads.
  • RNA sequencing - AR17 RT primer ACACGACGCTCTTCCGA (SEQ ID NO: 34); RNA sequencing - 3Tr3 5' DNA adaptor:
  • pooled shRNA (short hairpin RNA) screen -
  • the present inventors selected 244 transcription factors and epigenetic modifiers that were differentially or continuously highly expressed during the in vitro differentiation time course in an otherwise unbiased fashion (Supplementary data 4, which is fully incorporated herein by reference in its entirety).
  • the present inventors included GFP, RFP, lacZ and luciferase as internal controls.
  • a sub-pool of the human 45K shRNA pool [Luo, B. et al. Proc. Natl. Acad. Sci. USA 105: 20380-20385, 2008] distributed by the Broad Institute Genomic Perturbations Platform and the RNAi Consortium (TRC) against these genes.
  • Nested F GGCTTTATATATCTTGTGGAAAGGA (SEQ ID NO: 39)
  • Nested R GGATGAATACTGCCATTTGTCTC (SEQ ID NO: 40).
  • standard Illumina sequencing library construction was performed as outlined above for 4 technical replicates for NE and MRG and 3 technical replicates for ERG, each comprising HES5+, HES5- and 24 hours control, amounting to a total of 33 libraries. These amplicon libraries were then sequenced on a HiSeq2500 with a PhiX spike in of 25%.
  • WGBS and RRBS library production - WGBS libraries were generated as previously described in Gifford, C. A. et al. 2013 (Cell 153: 1149-1163). RRBS was carried out using the multiplexed, gel free protocol described in Boyle, P. et al. 2012 (Genome Biol 13: R92). Data processing - For RNA-Seq data processing, reads were trimmed to 80, 60 or 30 bp depending on their per-base quality distribution in order to achieve maximum alignment rates. Reads were mapped to the human genome (hgl9) using TopHat v2.0 (Trapnell, C, et al., 2009.
  • Bioinformatics 25: 1105-1111) tophat(dot) cbcb (dot)umd (dot) edu) employing the unfiltered gencode.vl9.annotation.gtf annotation as the transcriptome reference. TopHat was run with default parameters except for the coverage search being turned off. Transcript expression was estimated with Cuffdiff 2 (Trapnell, C. et al. 2013). The workflow used to analyze the data is described in detail in Trapnell et al. (2012) (alternate protocol B).
  • WGBS libraries were aligned using BSMap 2.7 (Ref reference assembly.
  • CpG methylation calls were made using custom software as previously described (Ziller, M. J. et al., 2013) excluding duplicate, low-quality reads as well as reads with more than 10% mismatches. Only CpGs with more than 5x coverage were considered for further analysis.
  • ChlP-Seq data were aligned to the hgl9/GRCh37 reference genome using MAQ35 version 0.7.1 with default parameter settings or Bowtie 2 version 2.05 (Langmead, B. & Salzberg, S. L. 2012). Reads were filtered for duplicates and extended by 200 bp at the end of the read.
  • shRNA screen data analysis For the screen data analysis, the protocol outlined by Dai et al. (Dai, Z. et al. 2014) was followed employing the R package limma (Smyth, G. K. 2005). First, the number of times each shRNA was observed in each library was extracted and counted using the shRNA sequence as barcode and the R function processHairpinReads. Next, the shRNA counts were normalized to the total number of reads observed harboring a shRNA to counts per million (cpm) and retained only those shRNAs with more than 0.5 cpm in more than 2 samples.
  • a mean effect score was computed in order to rank genes by computing the weighted mean of the log fold change between the two conditions weighted by the log cpm across all significant shRNAs and targeting a particular gene with an effect in the same direction. If an equal number of shRNAs showed a significant effect in positive or negative direction, the gene was classified as not significantly affected. Otherwise the effect direction was chosen based on the majority of the shRNAs.
  • the results from the HES5+ to 24 hour control and HES5- comparison was combined into one by taking the maximum mean effect score observed in either comparison.
  • the resulting mean effect scores are then used for visualization and analysis purposes in main text and figures and are reported in Supplementary data 3, which is fully incorporated herein by reference in its entirety.
  • an empirical FDR was calculated by determining the fraction of shRNAs with a statistical significant effect based on the generalized linear model but were not expressed based on the RNA- Seq data for the condition where the significant effect was observed.
  • Clustering analysis was performed using the csCluster function in the cwnmeRbundAO package version 2.6.1 compbio (dot) mit (dot) edu/cummeRbund/) with the Jensen-Shannon distance as metric.
  • the number of clusters for the NPC set (ESC, NE, ERG, MRG, LRG) and the differentiated populations (NEdN, ERGdN, MRGdN, LRGdA) was determined as the number of clusters between 10 and 20 with the minimum average silhouette width across all clusters. Subsequently, a pseudocount of 1 was added to all FPKM counts followed by a log2 transformation. The resulting values were used for all further expression analysis.
  • IDR Irreproducible Discovery Rate
  • the R-package diffBind (Ross-Innes, C. S. et al. 2012) was used.
  • the effective library size was used, counting only reads in peak regions (either the IDR peaks for H3K27ac, H3K4me3 or the enriched lkb tiles for H3K27me3 or H3K4mel).
  • the differential analysis was then conducted using the DBA_DESEQ2 method, taking full advantage of both replicates per condition with the bTagwise parameter set to true. Only regions differentially between consecutive conditions at a p-value of 0.05 were reported.
  • a union peak set for each mark was created separately by joining overlapping peaks/enriched regions in preparation for the transcription factor epigenetic remodeling activity (TERA) analysis.
  • TERA transcription factor epigenetic remodeling activity
  • H3K4mel the enrichment over the union of all H3K27ac regions was computed since the focus was on well more sharply defined promoter and putative enhancer regions for this mark.
  • H3K27ac the focus was on distal regions only (>lkb of nearest TSS) since the present inventors were specifically interested in putative enhancer regions for this mark.
  • H3K4me3 the present inventors used the union of all H3K4me3 IDR based peaks regardless of distance, accounting for most promoters and CpG islands.
  • Region enrichment was computed as follows: First, the number of tag counts in each region was determined and normalized to reads per kilobase per million reads (RPKM) sequenced using the full library size of non-duplicate reads. Next, RPKM read counts were divided by the mean RPKM counts across all WCE libraries. Subsequently, the resulting enrichment levels were log2 transformed after adding a pseudo enrichment of 1. Finally, the resulting enrichment values were quantile normalized across the entire dataset for each mark separately. The resulting values were then average across replicates to obtain a region x condition normalized enrichment matrix. The resulting matrix was used as input for the TERA analysis. The present inventors tested several ChIP normalization strategies by assessing between replicate correlation and between condition discriminative power on a large dataset of 70 REMC (roadmap epigenomics mapping consortium) H3K27ac samples and identified this strategy as best performing one.
  • REMC roadmap epigenomics mapping consortium
  • footprints To determine small regions depleted of histone modifications but surrounded by regions of much greater enrichment, termed footprints, the present inventors extended an approach used for the analysis of DNAse I HS data (Neph, S. et al. 2012).
  • the footprints identification algorithm consisted of three main phases: In the first phase, the present inventors identify peaks using the IDR framework (see previous section) for H3K27ac and H3K4me3 and use these as baseline regions in which footprints could be detected. In the second phase, the present inventors identified footprints located within/around peak regions in the following manner:
  • Cij - RPKM count for central window at current position i and window size j Cij - RPKM count for central window at current position i and window size j
  • Rij - RPKM count for a 200 bp stretch directly to the right of the central window Lij - RPKM count for a 200 bp stretch directly to the left of the central window
  • DMR detection - DMR detection was carried out as previously described with slight modifications (Gifford, C. A. et al. 2013). Pairwise comparisons of consecutive samples (hESC, NE, ERG, MRG, LRG, LNP) were carried out on a single CpG level using a beta-binomial model and the beta difference distribution requiring a maximum q- value below 0.05 and an absolute methylation difference greater than 0.1. q-values were computed based on beta-binomial model p-values using Benjamini-Hochberg 1995 method. Only CpGs covered by at least 5 reads in either sample were considered. Subsequently, differentially methylated CpGs within 500 bp were merged into discrete regions.
  • Gene set enrichment analysis was carried out using the GREAT toolbox (McLean, C. Y. et al. 2010) and only categories with q-values ⁇ 0.05 for both the hypergeometric and the binomial test as well as a minimal region enrichment level greater than 2 were considered, following the GREAT recommendations. Due to the large number of enriched gene sets, a selected subset of the results is shown in the different figures.
  • the present inventors utilized the Allen Brain atlas (Thompson, C. L. et al. 2014) to determine enrichment for distinct brain structures and developmental time points. To that end the present inventors derived gene sets from the Brain atlas data in the following fashion:
  • the present inventors obtained in situ hybridization counts for the developing mouse brain at 7 distinct fetal time points and 11 different brain substructures through direct correspondence with alleninstitute.org. Specifically, the present inventors investigated the following structures and time points: Rostral secondary prosencephalone (RSP), Telencephalon (Tel), peduncular (caudal) hypothalamus (PHy), Hypothalamus (p3), pre-thalamus (p2), pre-tectum (pi), midbrain (M), prepontine hindbrain (PPH), pontine hindbrain (PH), pontomedullary hindbrain (PMH), medullary hindbrain (MH); and embryonic (E)11.5, E13.5, E15.5, E18.5 as well postnatal P4, P14 and P28.
  • the present inventors had 14,585 measurements for 2,105 different genes across these different regions and time points.
  • the present inventors computed the z-scores as well as the maximum observed variation for each gene across the entire matrix of structure and developmental time point combinations. Only genes that exhibited a maximum observed variation (maximum activity - minimum activity) > 1 were considered for gene set definition.
  • all mouse genes were mapped to their human orthologs using the biomaRt database.
  • gene sets for each region-time point combination was defined using genes that exhibited a z-score > 2 in that particular combination.
  • the Allen brain atlas gene sets are defined for each developmental time point and regional identity, the visualization was simplified by focusing either exclusively on structures or developmental time points. Therefore, the gene set with the maximum gene set activity was determined at each differentiation stage across all gene sets associated with distinct developmental time points for each structure separately. Similarly, the gene set with maximum activity for each developmental time point the present inventors determined taking the maximum across all structures at each stage. The gene set activity was determined as the mean log2 transformed expression level of all gene set members in for each condition.
  • the present inventors combined the position weight matrices from Transfac professional database (Fogel, G. B. et al. 2005) with the PWM collection reported in Jolma et al. (Jolma, A. et al. 2013), only retaining motifs annotated for homo sapiens or mouse. To eliminate redundant motifs, the present inventors determined pairwise motif similarities for all resulting 1,886 PWMs using the TOMTOM (Gupta, S., et al., 2007) program which is part of the MEME (Bailey, T. L., et al., 2006) suite with default parameters.
  • a pseudo-distance matrix was compiled based on the resulting pairwise motif similarities.
  • the present inventors used the log 10 transformed TOMTOM q-value which was capped at 10.
  • the present inventors inverted the scale by subtracting the transformed q-values from 10.
  • the resulting matrix was used to perform hierarchical clustering with Euclidean distance and Ward's method.
  • the present inventors employed the cutree function with a threshold of 7 to partition the resulting clustering dendrogram into discrete clusters of motifs.
  • the present inventors computed the ETFA (epigenetic transcription factor activity) scores across 70 REMC H3K27ac or H3K4me3 cell types and correlated the results with RNA-Seq expression data across 40 cell types. This analysis gave rise to a correlation matrix containing the pearson correlation coefficient of each motif with its linked genes. This matrix was used in combination with the plain gene mapping reported in primary motif sources. For Figure 16B, the present inventors uniquely map each motif to a corresponding linked gene by computing an association score as the product of the absolute pearson correlation coefficient and the average gene expression level of the corresponding gene. Then, the present inventors chose the gene with the highest association score.
  • ETFA epigenetic transcription factor activity
  • the present inventors chose the gene with the highest gene expression level. In Figure 16B, only genes expressed with at least 10 FKPM in the respective condition are considered. Then, the present inventors report the top 35 genes for each condition, where TERA scores of motifs mapping the same gene were averaged.
  • the present inventors incorporate the results of the shRNA screen to uniquely map motifs apply the aforementioned mapping strategy only on the genes identified as hits. If it does not map to any gene hit by the screen, the present inventors use the standard assignment strategy outlined above. Identification of putative transcription factor binding sites - In order to determine putative binding sites in a given genomic region, the present inventors used a biophysical model of transcription factor affinities to DNA (Manke, T., et al., 2008; Manke, T., et al., 2010) to determine putative binding to the footprint sets.
  • This biophysical model requires the training of generalized extreme value (GEV) distributions of binding affinities based on a PWM matrix for each transcription factor and each set of genomic regions in order to generate a suitable background model.
  • GEV generalized extreme value
  • the present inventors determined the GEV parameters for footprints arising from H3K27ac, H3K4me3 and DNAme using the framework outlined by Manke et al. (Manke, T., et al., 2008; Manke, T., et al., 2010). The resulting three binding matrices were then filtered for minimal significant binding affinity at p-values below 0.05. All other entries with higher p-values were set to one.
  • the present inventors took the negative log 10 of the entire matrix as a quantitative measure of binding affinity in subsequent analysis.
  • EFA epigenetic transcription factor activities
  • the present inventors took advantage of recent developments in the microarray field (Boulesteix, A. L. & Strimmer, K., 2005; Boulesteix, A. L. & Strimmer, K. 2007) and adapted this approach to epigenetic data. To that end the present inventors modeled the enrichment level yit of a particular epigenetic mark at genomic region ⁇ and time point t as a linear function the unknown transcription factor activities. Considering p predictor variables (epigenetic motif/transcription factor activities -ETFA) and k time points the present inventors describe the unknown TFA X as a p x k matrix. Incorporating all regions n meeting the above listed criteria, the present inventors employ the linear model:
  • the present inventors performed cross validation by randomly partitioning the dataset 20 times into 2/3 training and 1/3 test set. Then the number of components was chosen such that it minimized the prediction error.
  • the corresponding analysis methodology was implemented in the statistical programming language R adapting the implementation provided by Boulesteix and Strimmer (Boulesteix, A. L. & Strimmer, K. 2005).
  • a permutation test was performed by randomly permuting the epigenetic enrichment scores for each gene regulatory element and recomputed the ETFA values on the permuted values. This process is repeated 100 times. Positive ETFA scores are considered to be insignificant and set to 0 if a greater ETFA score is observed more than once on the randomly permuted set and vice versa for negative ETFA scores.
  • TERA scores were determined by computing the differential ETFA scores between consecutive conditions. These scores were determined by subtracting ETFA scores of consecutive time points from each other. Subsequently, the significance of this difference using a permutation test by randomly permuting the epigenetic enrichment scores across all regions, re- computing the ETFA scores for each conditions and assessing the TERA score between consecutive conditions for each motif. Positive TERA scores are considered to be insignificant and set to 0 if a greater TERA score is observed more than once on the randomly permuted set and vice versa for negative TERA scores.
  • Co-binding analysis - Co-binding relationships were evaluated using an empirical approach with the entire set of footprints for each epigenetic mark as background.
  • the present inventors determined the footprints set Fi relevant for the current comparison (e.g. changing their epigenetic state in particular cell state transition) that were predicted to harbor a TFBS based on the binding model outlined above.
  • the present inventors computed the frequency of motif cooccurrence across Fi for all other motifs j in the database.
  • the present inventors determined an empirical p-value and odds ratio based on these quantities by counting the number of instances for which
  • the present inventors then applied the TERA-pipeline to the H3K27ac datasets and computed the TF-binding affinities for a set of 557 distinct motifs. With these datasets at hand, the present inventors computed the true positive rate (TPR), the false positive rate (FPR) and the positive predictive values (PPV) for all transcription factors that could be matched to at least one motif with available binding affinities (46/117). In the event that one factor matched multiple motifs, the present inventors chose the motif with the highest AUC.
  • TPR true positive rate
  • FPR false positive rate
  • PPV positive predictive values
  • the core network was defined as those transcription factors that were differentially expressed during neural induction from ES cell to NE and not differentially expressed between consecutive stages of NE, ERG and MRG.
  • the present inventors did not consider the LRG stage.
  • the present inventors required that each factor was expressed at least 10 FPKM or more in NE, ERG and MRG and that it's mean normalized, maximum difference in expression levels between any of the stages did not exceed one standard deviation computed across the entire dataset of 9 cell types.
  • the present inventors also considered genes that were not differentially expressed between any consecutive stages including the ESC stage but fulfilled all other criteria. This identification procedure gave rise to the candidate list of core factors.
  • the present inventors then intersected this list with the results of the shRNA screen and retained only those factors that were significantly depleted in the HES5+ population relative to the respective HES5- or control population in at least two stages. Since the literature supported a role for PAX6 and OTX2 for which the shRNAs showed no effect due to the pooled setup or absent knockdown ( Figures 17A-D), the present inventors included these genes as well. Finally, the present inventors merged this list will all TFs that were depleted in the shRNA screen at all 3 stages in the HES5+ population relative to the controls and were expressed at least at 10 FPKM or more in NE, ERG and MRG. This algorithm yielded a list of 22 transcription factors or epigenetic modifiers (Figure 18A).
  • the present inventors then carried out co- binding analysis in H3K27ac footprints dynamically regulated at each stage in order to obtain putative stage specific co-binding relationships.
  • the present inventors used the permutation procedure outlined above and retained all co-binding partners with an odds-ratio > 1.5 that were significant at p ⁇ 0.01 that were also identified as a significant hit in the shRNA screen at the particular stage under investigation.
  • Transcription factor binding site priming analysis To determine transcription factors associated with transcription factor binding site priming prior to factor activation, the present inventors determined all transcription factors at each stage that were significantly up-regulated at the consecutive NPC time point or induced in the corresponding more differentiated cell type (q-value ⁇ 0.1) and showed an increase in H3K4mel or DNAme derived TERA activity at the current stage under investigation. In addition, the present inventors required that the corresponding motif did not map to any TF that was expressed more than 2 FPKM at the current stage under investigation. From this list, the present inventors picked the pro-neural genes NEUROD4, ASCL2 and NFIX for further investigation due to their literature support for their pro-neural functions.
  • the present inventors required that the potential downstream target genes were significantly enriched for differentially regulated genes at the next NPC stage or in the corresponding more differentiated cell types.
  • the present inventors determined all putative transcription factor binding sites for a particular factor in dynamically regulated H3K27ac or H3 4mel footprints at the stage of potential priming. The present inventors then associated each of these putative binding sites with the nearest TSS and determined the number of differentially expressed genes for each factor.
  • the present inventors randomly drew 100 sets of equally sized H3K27ac footprints with no motif of the factor under investigation and determined the number of differentially expressed genes for the subsequent stages. Only factors that exhibited more differentially expressed genes compared to the control sets in more than 99 % of the cases were retained.
  • the present inventors used the previously established H9 (WA09) derived HES5::eGFP hESC reporter line [Placantonakis, D. et al. BAC transgenesis in human ES cells as a novel tool to define the human neural lineage. Stem Cells (2008)] to monitor morphology and HES5 reporter cell expression dynamics.
  • the present inventors defined five consecutive stages during 220 days of neural differentiation and propagation ( Figures 1A-B and 8A-B). Neuroectodermal cells emerged as early as day 5-8 and expressed SOX1 followed by PAX6, but not HES5 ( Figure 8C).
  • HES5 is widely expressed and coincides PAX6 and SOX1, along with other progenitor markers such as SOX2 and NESTIN ( Figures 1C-E, and 8D), possibly marking establishment of the CNS earliest NE cells following neural induction [Lowell, S., Benchoua, A., Heavey, B. & Smith, A. G. Notch promotes neural lineage
  • HESS expressing cells Shortly after, on day 14, HESS expressing cells rapidly become elongated, maintain PAX6 expression and form neural rosettes - highly polarized structures containing radially organized columnar cells [Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)] - reminiscent of RG cells residing within the developing ventricular zone (VZ) [Gotz, M., Stoykova, A. & Gruss, P. Pax6 controls radial glia differentiation in the cerebral cortex.
  • VZ developing ventricular zone
  • Neural progenitors on day 80 represent a later radial glial (L-RG) cell population exhibiting a more gliogenic bias, based on down regulation of rosette (R-NSC) markers such as PLZF and the up regulation of glial markers such as epidermal growth factor receptor (EGFR) and S100B (Figure 8E). These were still capable of generating neurons and glia, supporting existence of subsets of NSCs ( Figures 3F-G) (Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage.
  • Neural progenitors could continuously propagate for many additional passages.
  • Day 220 represents a long-term cultured neural progenitor (LNP) stage exhibiting a further substantial increase in EGFR and S100B levels (Figure 8E), while retaining multipotency (Figure 8F).
  • HES5+ progenitors compared to that of HES5- purified populations, the present inventors tested whether early Notch activation is required for NE cells to respond to early developmental cues that yield regionally specified CNS neurons.
  • the present inventors exposed neuroectodermal cells to patterning cues directing rostro-caudal regional fates prior to onset of HES5::eGFP expression.
  • neuroectodermal cells reached the NE stage (day 12), HES5+ and HES5- cells were separated, further subjected to complete differentiation along the selected regional paradigm, and were finally assessed for their ability to yield the corresponding regional specific neuronal subtypes (Figure 2A).
  • early projection neurons expressing appropriate rostral to caudal regional neuronal markers such as TBR1 forebrain cortical neurons, FOXA2/TH midbrain dopaminergic neurons and HB9 spinal motoneurons, could be generated mainly from high HES5 expressing cells ( Figures 2B-E).
  • HES5- progenitors weakly responded to patterning cues although they were capable of generating neurons ( Figure 2B, bottom; Figures 9A- C).
  • Requirement for Notch activation in the generation of early CNS neurons was also evident for additional early cortical neuronal markers such as CTIP2, NR2F1 and PCP423 ( Figures 11A-K and 12A-G).
  • the present inventors also confirmed requirement for Notch activation by inhibiting this signaling pathway using DAPT at either day 2 or day 6 of neural induction. Both HES5 and PAX6 expression levels were reduced following DAPT addition on these time points, while the neural crest / placodal marker SIX1 was upregulated ( Figures 9D-F). These findings suggest that neuroectodermal cells require high Notch activation in order to acquire appropriate CNS neuronal cell identities. To further support this latter possibility, the present inventors followed HES5+ and HES5- progenitors derived from the NE stage through the E-RG stage and assessed their cell fate and proliferative capacities with respect to Notch activation.
  • M-RG stage progenitors did not require Notch activation for generating later derived neurons because many of them correspond to HES5- subventricular zone (SVZ)-like cells that have already accumulated from earlier stages in a Notch dependent manner.
  • SVZ progenitors expressing TBR2 EOMES
  • TBR2 was upregulated during differentiation of NE cells in a Notch dependent manner and that this upregulation was prevented following Notch inhibition by DAPT (Figure 3E). This is in contrast to the later (M-RG) stage, where most TBR2 levels were derived from HES5- cells, and accordingly were not inhibited by DAPT. This shows that the majority of TBR2 progenitors that were apparent at the M-RG stage were already generated from early Notch active cells rather than de novo at the M-RG stage.
  • FEZF2 a hallmark of earliest RG progenitors
  • Fezf2 a hallmark of earliest RG progenitors
  • RG progenitors a hallmark of earliest RG progenitors
  • Fezf2 expression identifies a multipotent progenitor for neocortical projection neurons, astrocytes, and oligodendrocytes. Neuron 80, 1167-1174, 2013].
  • FEZF2 expression at early stages also strictly depended on Notch activation and was fully inhibited by DAPT (Figure 3E).
  • the inhibition of FEZF2 and TBR2 by DAPT demonstrates that generation of both early and late progenitors and their neurons is significantly affected in the absence of Notch activation.
  • TBR1+ and RELN+ neurons Additional support for stage specific differential dependence on Notch is provided by TBR1+ and RELN+ neurons. These appear not only during early sub-late and marginal zone formation, respectively, but also during mid-gestation by later SVZ progenitors [Englund, C. et al. Pax6, Tbr2, and Tbrl are expressed sequentially by radial glia, intermediate progenitor cells, and postmitotic neurons in developing neocortex. J Neurosci 25, 247-251, 2005], and may populate more caudal cortical regions [Takiguchi-Hayashi, K. et al. Generation of reelin-positive marginal zone cells from the caudomedial wall of telencephalic vesicles.
  • TBR1 and RELN neurons could be both generated also at the M-RG stage and in a Notch- independent manner ( Figures 3B-D, 11A-K and 12A-G).
  • HES5+ at the E-RG stage were enriched for genes such as ARX, FEZF2 and NR2E1 with respect to HES5- cells ( Figure 4A), indicating that Notch active NE cells underwent a sharp and rapid transition towards an RG cell stage with a strong dorsocaudal telencephalic character.
  • Notch active progenitors in the more advanced rosette M-RG stage continued to highlight cerebral developmental genes such as POU3F2 as well as genes associated with neuroblast cell division such as ASPM ( Figure 4A), fitting with extensive neurogenesis during the M- RG stage.
  • the present inventors next employed immunostainings and 3D construction analyses to dissect the hierarchical progression of progenitors at the cellular and cyto architectural levels with respect to Notch signaling.
  • the abundant occupancy of PAX6 and HES5 at all rosette cells at the E-RG stage indeed fits the dorsal cortex molecular identity of E-RG cells ( Figure 4A).
  • PAX6 and HES5 spatial distribution in the M-RG stage was mainly confined to lumens, as well as to regions located distally to rosette areas ( Figures 4D-E).
  • E-RG rosettes are packed with HES5+ PAX6+ cells across all rosette area while dividing nuclei located luminally, at multiple Z-levels (data not shown).
  • M-RG rosettes are characterized by HES5+/PAX6+ cells and dividing nuclei both confined to luminal regions only, at multiple Z-levels, in addition to neuronal processes accumulating at lower Z-levels (data not shown).
  • the cell division at luminal sites is also reflected by the expression pattern of the M-phase marker PHH3, which is confined to nuclei within lumens at E-RG and M-RG rosettes, while the general cell cycle marker K I67 was apparent among all progenitors regardless of HES5 expression ( Figure 13A).
  • the L-RG and LNP stages were no longer capable of forming rosettes, reflecting loss of epithelial integrity due to accumulation of basal progenitors, neurons and cells with astroglial character.
  • HES5 and PAX6 cells further decreased in numbers ( Figures 1C-E and 8B), reflective of the reduction in neurogenic NSCs.
  • Some CUXl/2 and POU3F2 progenitors still remained at the L-RG stage, marking residual neurogenesis ( Figures 4D-E).
  • Enhanced astroglial identity is supported by the further increase in GLAST and FABP7 levels ( Figures 5A-B) as well as the glial markers S100B and EGFR ( Figure 8E).
  • EGFR labeling possibly reflected a newly established subset of progenitors at the L-RG stage, compatible with EGFR labeling mainly late SVZ progenitors in vivo [Burrows, R. C, et al., Neuron 19, 251-267, 1997].
  • HES5 expression during progenitor progression links the sequential transition through distinct competences.
  • Such a mechanism can underlie the generation of heterogeneity in culture due to the fact that many HES5- cells exist throughout culture.
  • factors that share expression among HES5+ cell stages may serve as transcriptional regulators for neural development, while stage specifically expressed factors may be co-opted to drive the transition through distinct competences.
  • stage specifically expressed factors may be co-opted to drive the transition through distinct competences.
  • the present inventors employed an unbiased clustering analysis on all differentially expressed genes across the HES5+ and HESS- populations. This analysis yielded 26 gene clusters that were divided to 7 distinct gene expression patterns ( Figure 6A and Table 3, hereinbelow).
  • One particularly interesting cluster is characterized by genes exhibiting a transient expression during the NE stage (specifically in HES5- cells) followed by a transient re-expression during the M-RG stage.
  • This cluster included TBR2, RSP02, NEUROD1 and TFAP2B - genes associated with neurogenesis and basal progenitor (INP) cell fate. This observation may interestingly imply that the establishment of a set of transcription factors (TFs) regulating SVZ generation and cortical expansion may already originate and act during early corticogenesis.
  • TFs transcription factors
  • NR2E1 is mainly expressed in Notch active cells at the E-RG stage ( Figures 14A-E), compatible with Nr2el role in controlling proliferation of VZ progenitors during the establishment and expansion of the SVZ (Roy, K. et al. J Neurosci 24, 8333-8345, 2004).
  • NR2E1 was also moderately expressed at the later LNP stage ( Figures 14A-E, in particular Figure 14B), in correlation with its expression in mouse aNSC astrocytes as well as its role also in brain tumor initiation from NSCs45.
  • LGR5 - another interesting E-RG specific gene ( Figures 14A-E, in particular Figure 14A) - is a major stem cell regulator of adult tissue regeneration and malignancy, and was initially identified in the stem cells of the small intestine and colon (Barker, N. et al. Nature 449: 1003-1007, 2007). The present inventors also identified a cluster of genes expressed in ES cells but also transiently in NE and E-RG stages.
  • Examples 1-7 offer a first in depth dissection of the dynamic changes that lead to heterogeneity in PSC derived neuroepithelial cells during long-term culture, and shows that they match developmental logics and timing principles of mammalian NSC ontogeny. Moreover, this study suggests that Notch activation is a critical component orchestrating this ontogeny in vitro, by establishing the identity of neuroepithelial cells, regulating their numbers during progression, and Unking their transition through distinct developmentally specific primary progenitor cells - which together comprise the diversity of NSC types promoting neurogenesis and gliogenesis of the CNS.
  • stage transitions provide a highly valuable resource of stably expressed as well as stage specifically expressed transcriptional regulators, which may be critical for both launching the onset of early NSCs as well as driving their progression through distinct developmental potencies, through Notch activation.
  • Notch activation first dictates CNS identity during neural induction. Second, it represses proneural transcriptional activity in NE cells and by that maintains a highly undifferentiated state.
  • Notch active NE cells display augmented expression of cell cycle components, in correlation with maintenance of BrdU incorporation in later derived HES5+ cells.
  • Notch activation may confer amenability to specification cues mainly by extending the time window during which NE progenitors are exposed to these cues. This model can explain the ability of HES5+ but not HES5- progenitors to undergo complete neuronal specification for various distinct regional identities.
  • the present inventors propose that the extensive remodeling capacity of NE cells through progression is provided by stably expressed TFs co-acting with consecutively and transiently appearing factors to control NSC progression through Notch activation. It is interesting to speculate that distinct sets of Notch regulators are consecutively appearing and replacing one another in a relay mechanism to generate potency diversity, while maintaining proliferation capacity through Notch signaling. Such a model should further advance the ability to use these factors to directly induce or maintain specific modules in vitro - towards establishing perpetuating NSC types amenable for drug screening, disease modeling and for developing better protocols for deriving specific neuronal and glial lineages.
  • progenitor module dissection approach of the present study enables new possibilities of gaining knowledge on progenitor cell dynamics during disease onset and progression.
  • Many disease models, particularly iPS cell based, rely on the ability to generate specific neuronal types suspected to be clinically and physiologically relevant.
  • This approach offers a unique possibility to specifically isolate damaged or malfunctioning progenitor modules that give rise to the clinically affected neuronal or glial cell types, and to gain deep insights into pathogenic features within such defected modules such as stem cell properties, developmental potential and molecular drivers.
  • the comprehensive array data sets may help to link the expression pattern of disease causing mutated genes along the developmental stage modules with relation to Notch activation.
  • Lissencephaly a developmental cortical disorder, is associated with defects in 'core' genes such as ARX, stage specific genes such as DCX, and Notch active specific genes such as VLDLR.
  • Microcephaly is associated with defects in 'core' genes such as MCPH1 and STIL, stage specific genes such as CENP, and Notch active specific genes such as ASPM.
  • the datasets presented herein may provide insights also to other nervous system disorders such as autism as well as psychiatric disorders. Altered regulation of DISCI associated with schizophrenia may be interesting due the fact that expression of this gene appears in culture only starting the M-RG stage.
  • Neurodegenerative diseases associated with mutations or SNPs in genes differentially expressed in the system described herein may also shed light on the potential role of such candidates in predisposition and / or actual elderly onset.
  • Such findings may imply that the potential embryonic roles of these factors may be inferred also to the malfunction of such SNP-bearing genes during disease onset.
  • the system described herein also offers a unique possibility to look into the origin and tumorigenic properties of distinct and yet to be defined brain cancer stem cells.
  • this study may potentially advance the understanding of how Notch activation is associated with the emergence of distinct brain cancer stem cells.
  • the association of these data sets with brain growth and tumorigenesis also reinvigorates the development of strategies to minimize heterogeneity of progenitors beyond the findings on cortical development.
  • Such studies should also help to develop approaches to control the balance between proliferation and differentiation in vitro, to eliminate proliferating progenitors from their differentiated progeny, and to minimize chances of tumorigenicity - towards future implications in preclinical setups.
  • the present inventors utilized the human ES cell line WA9 (or H9) expressing GFP under the HES5 promoter (Placantonakis, D. G. et al. 2009) to isolate defined neural progenitor populations of neuroepithelial (NE), early radial glial (ERG), mid radial glial (MRG) and late radial glial (LRG) cells based on their Notch activation state (Examples 1-7 hereinabove and Edri, R. et al. 2015), as well as long term neural progenitors (LNP) based on their EGFR expression ( Figure 15 A and Figure 20 A).
  • NE neuroepithelial
  • ESG early radial glial
  • MRG mid radial glial
  • LRG late radial glial
  • RNA-Seq chromatin immunoprecipitation followed by sequencing
  • Chrin immunoprecipitation maps for H3K4mel, H3K4me3, H3K27ac, and H3K27me3 as well as DNA methylation (DNAme) data by whole genome bisulfite sequencing (WGBS) for the first four stages and reduced representation bisulfite sequencing (RRBS) for the last two (LRG and LNP) stages
  • WGBS whole genome bisulfite sequencing
  • RRBS reduced representation bisulfite sequencing
  • differentiated progeny derived from these populations express deep cortical layer neuronal markers (NEdN and ERGdN) such as FEZF2 and BCL11B and superficial layer neuronal markers (MRGdN) such as SATB2 ( Figure 20D).
  • NPC deep cortical layer neuronal markers
  • ERGdN deep cortical layer neuronal markers
  • MRGdN superficial layer neuronal markers
  • Progression from early (NE) to late (LRG) stages was also accompanied by a transition from predominantly neurogenic to mainly gliogenic potential, although LRG cells can still generate neurons (Figure 20D).
  • This progressive change in NPC identity aligns well with the in vivo order developmental events (Examples 1-7 above and Edri, R. et al. 2015).
  • the WGBS data show changes in DNAme that can be separated into two overall patterns: the first is characterized by widespread loss and retention of the resulting hypomethylated state throughout subsequent differentiation stages (Figure 15C, top right). This pattern coincides with major cell fate decisions such as commitment from ES cells to the neural fate and the transition from ERG to MRG, the latter demarcating both peak of neurogenesis and onset of gliogenic potential ( Figure 15C, right middle). The second pattern is defined by a stage-specific loss with subsequent gain at the next stage as observed during the transition from NE to ERG and also from MRG to LRG ( Figure 15C, right).
  • Example 8 The coordinated epigenetic changes described in Example 8 hereinabove, are likely the result of differential transcription factor (TF) activity (Voss, T. C. & Hager, G. L. 2014; Ziller, M. J. et al. 2013; Gifford, C. A. et al. 2013).
  • TF differential transcription factor
  • TF FPs in the NPC model were highly enriched for single nucleotide polymorphisms previously reported to be implicated in Alzheimer's disease (p ⁇ 0.001, Figure 21C) and bipolar disorders (p ⁇ 0.001) by genome wide association studies, suggesting the possibility to utilize this differentiation system to study the genetic component of complex diseases in vitro (Maurano, M. T. et al. 2012; Claussnitzer, M. et al. 2014).
  • the present inventors ranked all motifs and their associated TFs based on their TERA scores between consecutive time points (Supplementary data 3, which is fully incorporated herein by reference in its entirety).
  • the present inventors also found differential activity of distinct downstream components of signaling pathways such as a decrease of SMAD4 activity at the NE stage, consistent with inhibition of TGFb signaling that promotes neural induction (Chambers, S. M. et al. 2009).
  • POU3F2 known to be involved in sub ventricular zone expansion and superficial layer neuronal specification
  • TCF12 which is highly expressed in germinal zones during brain development (Uittenbogaard, M. & Chiaramello, A. 2002) ( Figure 16B and Supplementary data 3, which is fully incorporated herein by reference in its entirety).
  • the present inventors decomposed the H3K27ac data into seven distinct modules, each corresponding to a unique epigenetic dynamic, genomic region and upstream regulator set (Figure 21D, top).
  • Gene set enrichment analysis (McLean, C. Y. et al. 2010) on the genomic regions associated with each of the distinct modules revealed that the module activated upon neural induction and sustained throughout the MRG stage is strongly associated with stem cell maintenance and differentiation related processes as well as Notch signaling ( Figures 21D-E; module 2).
  • the present inventors recover genes involved in extensive neurogenesis but also in commencing early gliogenesis such as NFIA and NFIB, which are involved in both repressing the neuronal progenitor state through Notch signaling concomitantly with activating glial fates (Piper, M. et al. 2010), as well as REST - a major pleotropic epigenetic regulator of neural cell fate decisions (Qureshi, I. A., et al., 2010).
  • the present inventors selected a set of 22 core factors with evidence to be functional at all stages as assessed by RNA-Seq and the shRNA screening results (Figure 23A).
  • the present inventors performed a co-binding analysis based on the predicted binding sites of 523 TFs in dynamically regulated H3K27ac footprints. This analysis uncovered highly stage-specific relationships that were also supported by the observed knockdown effect at each stage ( Figure 18 A and Figure 23B).
  • the present inventors identified three pro-neural factors that show evidence of priming, are induced only at a later stage, and possess TFBS that are also significantly (p ⁇ 0.05 permutation test) associated with other genes differentially expressed at a later stage (Figure 19A, bold genes). Because these pro-neural genes are not expressed at the early NPC stages but at more mature cell types or later NPC stages derived from these early NPCs, the identification of such priming events highlights that the epigenetic state is useful for predicting key regulators and their downstream targets. In order to pinpoint TFs potentially involved in facilitating these priming events at the respective NPC stages, the present inventors determined significant co- binding relationships between the subset of pro-neural genes and other TFs that are concurrently expressed (Figure 19A).
  • the present inventors focused on predicted NEUROD binding sites (Neuronal Differentiation) within H3K27ac footprints and defined five patterns of H3K27ac and H3K4mel enrichments across these sites (Figure 19B).
  • the present inventors found that genes associated with predicted NEUROD binding sites in regions gaining H3 27ac or H3K4mel enrichment at distinct stages of NPC progression are up-regulated in more mature populations derived from the respective NPC stage ( Figure 19B and Figure 24 D).
  • NEUROD binding sites associated with NPC related genes that retain high levels of H3K27ac and H3K4mel throughout the time course are associated with various anterior and posterior cortical structures as well as early and late developmental time points (Figure 24E).
  • Cluster 1 ARX, CROT, PAX6, YAF2, IKZF2, CYP46A1, HDAC9, COL9A2, HHAT, GUCY1B3, MAP2, LRP2, LYRM2, CD82, CHRD, CATSPERG, TIMP3, GALNT16, KIAA0247, EYA1, NCALD, C7orf63, CDH23, LGI1, MAPK10, TBC1D9, TBC1D19, ZBTB16, LPXN, ASIC1, TSPAN11, WNT5B, NEDD9, HBEGF, PLCH1, DNAH1, OTX1, EPHA4, WLS, PROXl, PLAGL1, LTBP2, PCDHB14, CXCR4, EGR
  • TUBB2A ARRBl, PRCP, SLTM, PPM1B, PHLDA1, UBE2Q2, ULK3, BM)4; SNX27, SPATA5, PHIP, ADM, DGKZ, COMMD7, PLCB3, FOXOl, BICD1.
  • ARHGAP42 GABRB3, CYB5A, MVD, ATCAY, STAT3, PLEKHA2, L ⁇ B2; LINGOl, HNRNPA3, INSR, SHCBP1, GAP43, DHCR7, FAM222B, ARHGAPl.
  • HELZ HELZ, GFPT1 , FAM155A, ATXN2, RAB12, ARHGAPl 9, PLEKH02, TMEM158.
  • LYN GAN, SEMA3A, COL9A3, SCD, SGK3, DLX5, PTGDS, IRX4, WWC1, CMPF; IDH1, COL6A1, CREB3L1, CDK1, RASGRPl, SGK223, RP11-1166P10.1, ST7; MYLIP, CAPN1, GRN, EPB41L2, KIF3C, WDR47, PPP1R13B, CHRNA4, CELF4; SMAD7, SALL1, SHD, ATP 1 A3, CLIP2, ELAVL2, FN1, DLGAP3, FAAH, KIFK [RF2BPL, GDAP1L1, SERPINB6, TMEM35, KIF1A, C19orf66, ITM2C, CENPE; RGS3, SLC20A1, STK11
  • RCOR1 GOLGA3, CLSPN, XYLB, CRKL, GINS1, EEF2K, IMPAD1, PPB2)CB; PIK3R2, SIPA1L3, ZC3HAV1, WASL, AKNA, NCS1, GAB1, CBL, HIPK3, FOXM1.
  • TROVE2 MAN1C1, CCNL CYP20A1, PHF19, ZC3H7A, 7-Sep, SLC25A16, CDKN1A, AIF1L, TEP1, MAP1B, TOP2A, STARD13, KRAS, SBF2, PTGFRN, RNFT2, AKIRIN2, FAM129A, SERPINE2, SMC2, TLN1, CASC5, KIF11, TMEM132B, RNPEPLl, LM04, GATAD2B, SFXN5, SH3KBP1, MSN, DOCK5, RSU1, MKI67, LIN7C, CELF1, ATM, QDPR, UHMK1, SEMA3D, LONRF1, AGPAT5, ELMS AN 1 , SAMD8, SKI, B4GALT5, ZYX, VMA21 , CCNF, SLC25A45, LRP5, USP24, NOL9, VANGL2, SGCB, SGOL2, PRSS12, FOX
  • Cluster 1 CD74, CAPG, DRD4, LLGL2, CLUL1, CTSZ, WFDC2, CBLN1, MAP4K1, TNNT1, PRX, CDH23, CCL2, KRT18, PERP, STC2, KCNQ4, 2-Mar, CHST8, PAIP2B, EDN2, GDF15, LIN28A, SERPINF1, DDB2, MMRN1, INHBE, ZIC5, PPFIA4, ZNF385B, STAC, SRCRB4D, RGS10, ELF3, SYNPR, ANKRD33B, CDC42EP5, COL3A1, FAM84B, FSTL5, INPP5D, ROR2, CMTM8, MGMT, RASGRPl, RHOD, KCNIPl, NEB, CLDN6, PMEL, SAMD5, AP001065.7, ULK4P2, CTD-2550O8.7, SCML2P2, HFE, DCN, MTMR11, COL9A2, CAPN6, NDRG1,
  • HES5+ HES5 expressing cells
  • HES5- HES5 not expressing cells
  • Table 1 HES5+ (HES5 expressing cells) vs. HES5- (HES5 not expressing cells) expression intensity ratios during NSC progression.
  • Table 1 HES5+ (HES5 expressing cells) vs. HES5- (HES5 not expressing cells) expression intensity ratios during NSC progression.
  • Table 1 HES5+ (HES5 expressing cells) vs. HES5- (HES5 not expressing cells) expression intensity ratios during NSC progression.
  • Genes whose expression is overrepresented in HES5+ cells compared to HES5- cells at the different stages are shown. Results are arranged according to the gene clusters at each developmental stage from genes highly expressed in HES5+ cells to those less expressed in HES5+ cells. The intensity level of each gene in ES
  • Table 5 provided are representative polynucleotide and polypeptide sequences of genes of some embodiments of the invention.
  • Supplementary data 1 Summary statistics and overview of all datasets generated for this study.
  • Supplementary data 2 Gene expression levels in FPKM for all RNA-Seq datasets used in this study based GENCODE annotations.
  • Supplementary data 3 TERA scores for all epigenetic marks individually as well as averaged for all NPC stages as well as H3K27ac and H3K4me3 based scores for most REMC cell types.
  • Supplementary data 4 shRNA screen raw data and evaluation.
  • Supplementary data 6 Global gene expression arrays for HES5+ and HES5- populations during NSC progression. Gene expression intensities for ES cells as well as HES5+ and HES5- cells during 220 days of propagation in vitro. Normalized and collapsed log2 transformed probe level intensities are shown.
  • Supplementary data 7 RNA sequencing analysis for cells in all developmental stages and their differentiated progeny in FPKM.
  • EGF converts transit-amplifying neurogenic precursors in the adult brain into multipotent stem cells. Neuron 36, 1021-1034 (2002).

Abstract

An isolated population of cells is provided the cells comprise at least 10 % HES5+ cells, wherein said HES5+ cells are: (i) early radial glial (E -RG) cells; (ii) mid radial glial (M-RG) cells; (iii) late radial glial (L-RG) cells; or (iv) long term neural progenitor (LNP) cells. Also provided are additional populations of neural cells and use of the populations and methods of producing same.

Description

POPULATIONS OF NEURAL PROGENITOR CELLS AND METHODS OF PRODUCING AND USING SAME
FIELD AND BACKGROUND OF THE INVENTION
The present invention, in some embodiments thereof, relates to populations of neural progenitor cells and methods of producing and using same.
Human pluripotent stem cell derived models that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. To date, the process of neural differentiation has not been elucidated and therefore any attempts to accurately mimic it or manipulate it have failed.
The identification of neural stem cells (NSCs) in the developing and adult brain has transformed the way the scientists understand central nervous system (CNS) development and regeneration. However, long following their isolation from the CNS or the derivation of neural progenitors from pluripotent stem cells (PSCs), the ability to address the dynamic changes in self -renewal and potency of distinct NSC types in vitro has remained poor. The exceptionally pioneering studies done in the NSC field in vivo have led to the identification of fundamental NSC types populating the germinal zones - neuroepithelial (NE) cells, radial glial (RG) cells, and adult NSCs (aNSCs). These studies provided the basis for understanding of the dynamic nature and lineage relationship of these distinct NSC types in vivo, describing the unique timing mechanism of neuronal cell type generation. However, in depth in vitro dissection of the molecular characteristics of each stage, particularly within the RG compartment, has been stalled mainly by the heterogeneity of NSC cultures and the lack of stage specific markers. In fact, despite being highly heterogeneous, distinct RG cell types as well as aNSCs are known to share similar RG cell markers rather than distinctive ones. The reporter gene- and surface marker-based prospective isolation of acute mouse aNSCs serves as a great example for a more in depth analysis of aNSC characteristics. However, applying such a study to human CNS derived RG cells is limited due to obvious shortage in early human CNS tissue. Thus, in depth understanding on human NSC ontogeny and dynamics in culture is still elusive.
The advent of PSCs has brought the ability to direct early neural progenitors towards a range of neuronal cell fates including midbrain dopaminergic neurons, spinal motoneurons and telencephalic cortical neurons. One remarkable study by Knoblich and co-workers allows monitoring early to mid gestation cerebral morphogenesis and neurogenesis, making up an attractive approach to model development and disease of the human brain (Lancaster, M. A. et al. Cerebral organoids model human brain development and microcephaly. Nature 501, 373-379, doi:10.1038/naturel2517, 2013). Another recently published comprehensive work delineates the temporal transcriptome analysis of cerebral cortex neuronal subtypes derived from PSCs [van de Leemput, J. et al. CORTECON: A Temporal Transcriptome Analysis of In Vitro Human Cerebral Cortex Development from Human Embryonic Stem Cells. Neuron 83, 51-68, doi:10.1016/j.neuron.2014.05.013 (2014)]. These two latter advancements have significantly helped to demonstrate the capability of hESC differentiation strategies to recapitulate major hallmarks of in vivo neural development and serve as a valuable resource for modeling development and disease of the human brain. Further to these important findings, however, there is a need to better understand how different types of progenitors emerge and exert their full potential while progressing through distinct competences during development. Addressing such an aim requires employing differentiation culture strategies that allow distinguishing primary progenitor cells holding extensive proliferation capacity and broad differentiation potential from the bulk of accompanying progenitors that lack these abilities. The present inventors have previously isolated an early progenitor cell type from PSCs that exhibits considerable self-renewal capacity (termed rosette-neural stem cells (R-NSCs)), and showed their developmental potential and distinct molecular signature [Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)]. However, also the R-NSC stage exhibits high heterogeneity with respect to NSC potential and corresponds to a transient stage in vitro. Currently there is no list of genes at high confidence that are known for specific types of neural progenitors emerging in culture, stressing the need to unravel generalized networks and pathways involved in the extensively changing dynamics of early neuroepithelial (NE) cells. Taken together, despite many years of NSC research, the heterogeneity and rapid transition through distinct neural stem and progenitor cell types still impedes the understanding of origin, lineage transitions, and the key factors that maintain or alter the epigenetic stability of early NE cells.
SUMMARY OF THE INVENTION
According to an aspect of some embodiments of the present invention there is provided a method of isolating neural progenitor cells, the method comprising:
(a) culturmg pluripotent stem cells having been transformed to express a Notch-activated reporter under culture conditions suitable for differentiation of the pluripotent stem cells into neural progenitor cells; and
(b) successively isolating progenitor cells of interest based on activation of the Notch-activated reporter.
According to an aspect of some embodiments of the present invention there is provided an isolated population of cells comprising at least 10 % HES5+ cells, wherein the HES5+ cells are:
(i) early radial glial (E-RG) cells;
(ii) mid radial glial (M-RG) cells;
(iii) late radial glial (L-RG) cells; or
(iv) long term neural progenitor (LNP) cells.
According to an aspect of some embodiments of the present invention there is provided an isolated population of cells comprising at least 10 % HES5- cells, wherein the HES5- cells are:
(i) non-CNS cells comprising neural crest cells, placodal cells, non- neuroepithelial cells; and CNS cells which exhibit an NEUROD4+/NGN1+/NGN2+/TBR2+/DCX+ expression signature and which form neurons of layers 1 and 6 of the brain cortex;
(ii) neural progenitor cells which belong to the CNS, having a lower proliferative capacity as compared to the HES5+ ERG cells, which form layers 1 , 5 and 6 of the brain cortex;
(iii) intermediate progenitor cells (INPs) which belong to the CNS, and which are capable of differentiating into the neurons forming layers 4, and 2 of the brain cortex;
(iv) HES5- neurons and astrocytes, wherein the neurons form layers 2, 4 and 3 of the brain cortex; or (v) neurons, oligodendrocyte and astrocytes, wherein the neurons comprise neurons reaching the olfactory bulb.
According to an aspect of some embodiments of the present invention there is provided a culture medium for neuroepithelial differentiation comprising noggin, LDN- 193189and SB-431542.
According to some embodiments of the invention, the isolated population of cells of some embodiments of the invention further comprising HES5+ neuroepithelial (HE) cells.
According to some embodiments of the invention, the HES5+ NE cells are capable of differentiating into HES5+ E-RG cells and into HES5- central nervous system cells neurons.
According to some embodiments of the invention, the HES5+ E-RG cells are capable of differentiating into the HES5+ M-RG cells and into HES5- neural progenitor cells.
According to some embodiments of the invention, the HES5+ M-RG cells are capable of differentiating into the HES5+ L-RG cells and into HES5- intermediate progenitor cells (INPs).
According to some embodiments of the invention, the HES5+ L-RG cells are capable of differentiating into the HES5+ LNP cells and into HES5- neurons and astrocytes.
According to some embodiments of the invention, the HES5+ LNP cells which comprise HES5+ adult neural stem cells (aNSCs) and into HES5- neurons, oligodendrocyte and astrocytes.
According to some embodiments of the invention, the HES5+ neuroepithelial cells exhibit an HES5+/SOXl+/PAX6+/SOX2+/Nestin+ expression signature.
According to some embodiments of the invention, the HES5+ neuroepithelial cells further exhibit a CDC6+/CDX1+/CENPH+/TOP2A+ expression signature.
According to some embodiments of the invention, the HES5+ neuroepithelial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: TOP2A, HIS Tl EMC, TRIM71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1, FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LIMS1, CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1, CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM126A, MAGT1, CDC6, C60RF211, RFC5, PSMD1, HMMR, UNG, UBE2C, GINS1, AURKB, LEPREL1, SBN01, ZWINT, M I67, CCAR1, FKBP5, PVRL3, CCNB1, NOP58, COL4A1, GGH, LSM6, EID1, GPX8, STC2, CD276, HS2ST1, EIF5B, HDGF, and NOL7 as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing undifferentiated pluripotent stem cells (PSCs) under culture conditions suitable for differentiation the PSCs into HES5+ neuroepithelial cells.
According to some embodiments of the invention, the culture conditions suitable for differentiation the PSCs into neural cell lineage comprise a culture medium which comprises Noggin, SB-431542 and LDN-193189.
According to some embodiments of the invention, the early radial glial cells exhibit an PAX6+/SOXl+/SOX2+/Nestin+ expression signature.
According to some embodiments of the invention, the early radial glial cells further exhibit an HES 5+/ARX+/FEZF2+/NR2E 1 + expression signature.
According to some embodiments of the invention, the HES 5+ early radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: NR2E1 , HES 5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, FAM107A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1, LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZ1, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7, SMOC1, TBC1D9, FAT4, SCUBE3, FUT8, CSPG5, DLLl, BOC, ID4, EGR1, ALPL, RFX4, GALNT12, CBX2, FHOD3, SORBS2, GUCY1B3, MBIP, FBX016, SHISA2, DAB1 , GLI3, FZD3, SEMA5B, LGALS3BP, SFRP1, C1QL1, RING1, GPRC5B, ZNF710, WSCD1, VPS37B, ZIC2, SDK2, DOCK11, GAS1, ZNF436, TMSB15A, IER2, FEZ1, CELF2, SFT2D3, NCALD, AKAP7, MY ADM, NEDD4L, PHC2, PI4KAP2, STARD3, and CAMK1D as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ neuroepithelial cells under culture conditions suitable for differentiation the HES 5+ neuroepithelial cells into HES 5+ early radial glial cells. According to some embodiments of the invention, the HES5+ mid radial glial cells exhibit an HES5+/POU3F2+ expression signature.
According to some embodiments of the invention, the HES5+ mid radial glial cells further exhibit an GLAST+/FABP7+ expression signature.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RAB10, WASF1, ZBED4, EZH2, PPA2, HIFO, CCNJ, ITGB8, SH3BGRL3, IRX2, KIF23, PEGIO, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAP1, LIMCH1, ETNK1, RNF13, ARID1B, TRIM28, CNOT8, CRNDE, TWSG1, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRK1, TRIM41, SATB1, HOMER 1, CCNG1, ATF2, AP1AR, GABPA, STXBP3, SMC5, CDKN1B, NUPL1 , UBA1 , CYTH2, FXYD6, ISYNA1, DOCK1, 41527, LPHN2, JDI1, PXMP2, U2AF2, ARHGAP12, KLHL24, CKAP2, ZNF238, PARP6, NHSL1, PBRMl, BAZ1A, MAP4K5, TSPAN12, SH3GLB1, ASPM, ANKLE2, SPG20, MAP4K4, CASC4, FUBP3, ARSB, BTAF1, SIKE1, VEZT, PBX3, CBL, EIF2AK4, API5, MTSS1, NETl , CHD6, ZNF117, PNMAl , PTPN13, MTIF2, SSFA2, KIAA1279, STRN3, WIPF1, MEIS2, ZC3H4, DYNC1I2, RTN4, TAF2, RASA1, OSBPL8, SKA2, IGFIR, RNF6, SGTB, TMEM131, HIATLl, TGEFl, TMEM170B, PSAT1, ACBD5, HECTD2, ASF1A, LAMB1, GLS, DDX39, DGCR2, EIF1AX, SALL1, GOLPH3, PTBP2, GRIP1, PNPLA8, VASH2, SUDS 3, PFDN4, BAZ2A, PRKDC, GLYR1, DAZAP2, PCMTD1, SENP6, CLINT 1, RECQL, CNTNAP2, CTBP1, C10ORF18, CDON, B4GALT6, CSNK1G3, STAT5B, TMEM60, HNRNPH2, TACC2, CCNG2, FSCN1, CCNA2, C210RF45, PLRG1, ZFHX3, UBE2A, DMTF1, TRA2A, MY05A, FAM96A, IFT80, VPS26A, MRPL50, ACYP1, WDR11, PLDN, RPRDIA, MEAF6, CKAP5, YTHDC2, GABARAPL2, 1P05, PGAP1, C140RF147, CD200, MST4, PPT1, ANKRD50, HPS 3, CCNC, THRAP3, TWF1, CYP51A1, PSPC1, WDR75, CAST, SEPW1, C210RF59, PIK3C2A, GNG5, MED4, GIPCl, STK39, KIAA1715, PHF6, PPTC7, SOCS4, PPM1B, UQCRB, C10ORF84, SLAIN1, RAB6A, SOS2, KLF10, RNF4, C30RF63, INSIG1, CPSF1, DNAJC4, ATP2B4, PPP2R1A, TRIM22, SDC3, TSNAX, PPIL4, ZDHHC2, ZBTB44, AN06, PPP2CB, UBA2, BBS2, ZNF423, RNF5, C10RF31, IFT81, CPSF6, KLHL9, FAM164A, TTC35, CCDC90B, TM9SF4, SEC24B, SMARCC2, CAP2, SAR1A, THY1, RBPMS2, EIF3A, DZIPl, ARL6IP1, SACM1L, PAPD4, SCG2, TCF3, EFHA1, HNRNPA2B1, EWSRL STAG2, YEATS4, PAQR3, GAR1, FTH1, C190RF43, TMEM14C, CCDC104, PSMD12, DCTD, SSR1, HMGCS1, HMGB3, KIF3A, TMEM128, PATZ1, RBL2, ARFGAP3, DNAJB5, TMED7, G3BP2, BMPR1A, FMR1, TPST2, TMSB4X, RP2, CEP170, KLHL23, RNF7, HNRNPH1, MARCKS, HNRNPD, TOB1, UTP11L, RFK, DHX36, LCOR, WBP5, PHLDB2, USP33, EFNB2, C60RF62, MEX3B, ABCD3, ATG3, ARID4B, C70RF11, EPB41, TCF12, CDK8, CMIP, ATG12, CETN3, ZNF217, TMEM55A and UBE2N as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ early radial glial cells under culture conditions suitable for differentiation the HES5+ early radial glial cells into HES5+ mid radial glial cells.
According to some embodiments of the invention, the HES5+ late radial glial cells exhibit an HES5+/OLIG1+/PDGFRA+ expression signature.
According to some embodiments of the invention, the HES5+ late radial glial cells further exhibit an CUX1+/CUX2+/POU3F2+ expression signature.
According to some embodiments of the invention, the HES5+ late radial glial cells further exhibit an S100B+/EGFR+ expression signature.
According to some embodiments of the invention, the HES5+ late radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1, PDGFRA, COL22A1, KIAA1239, PCDH10, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COL11A1, TREM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHDl, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51 , CHST3, PAG1, MY05C, CACNB2, NDRG2, ST3GAL5, TPD52L1, TRIB1, PRKCA, BCKDHB, GLT25D2, LITAF, PLCB1, ΊΊΜΡ3, ZBTB46, OPCML, CTDSPL, MDGA2, MEGF10, EYA2, KANK1, RAB31, TRIL, FAM171B, ALCAM, RAB6B, PGM2L1, LARGE, HPCAL1, HTRA1, TRPS1, TRIB3, IGF2BP2, ΡΓΓΡΝΟ, CMTM4, IAH1, DHTKD1, SNAP29, CTNNBIP1, NQ02, MAP4, CBR1, LTBP1, C50RF32, MARK1, AASS, CISDl, DSC2, SLC25A33, RIMS 3, ZIC3, EGF, SRGAP2, RANGAP1, SCRG1, PRCP, CA12, HEATR5A, ZNF503, GYG2, ANAPC1, C190RF63, ASAP1, C10RF96, DHX33, FASTKD1, STAU2, MAML2, RRAS2, GLTP, VPS13B, GPT2, NKAIN4 and ZC3HAV1 as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ mid radial glial cells under culture conditions suitable for differentiation the HES5+ mid radial glial cells into HES5+ late radial glial cells.
According to some embodiments of the invention, the HES5+ long term neural progenitor cells exhibit an HES5+/ANXA2+/LGALS1+ expression signature.
According to some embodiments of the invention, the HES5+ long term neural progenitor cells further exhibit EGFR+/ S100B+ expression signature.
According to some embodiments of the invention, the HES5+ long term neural progenitor cells are characterized by a higher expression level of at least one gene selected from the group consisting of: ANXA2P2, ANXA2, FRASl, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSFIOD, S100A6, RNF182, LGALS1, ISLl, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAGl , MMD, PTGR1, PDP1, COL18A1, ZIC4, BASP1 , AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21, and FAM38A as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ late radial glial cells under culture conditions suitable for differentiation the HES5+ late radial glial cells into HES5+ long term neural progenitor cells.
According to some embodiments of the invention, the HES5+ cells are neuroepithelial cells (NE) which constitute at least about 80 % of the isolated population of cells.
According to some embodiments of the invention, the HES5+ cells are early radial glial cells (E-RG) which constitute at least about 70-80 % of the isolated population of cells.
According to some embodiments of the invention, the HES5+ cells are mid radial glial cells (M-RG) which constitute at least about 30 % of the isolated population of cells.
According to some embodiments of the invention, the HES5+ cells are late radial glial cells (L-RG) which constitute at least about 10-15 % of the isolated population of cells. According to some embodiments of the invention, the HES5+ cells are long term neural progenitors (LNP); which constitute at least about 7-10 % of the isolated population of cells.
According to some embodiments of the invention, the HES5+ cells are genetically modified.
According to some embodiments of the invention, the cells are human cells. According to some embodiments of the invention, the cells are derived from a subject having a CNS disease or disorder.
According to some embodiments of the invention, the cells having been subjected to an ex-vivo differentiation protocol.
According to some embodiments of the invention, the HES5+ neuroepithelial (NE) cells are capable of differentiating into E-RG, M-RG, L-RG and LNP cells.
According to some embodiments of the invention, the HES5+ early radial glial (E-RG) cells are capable of differentiating into M-RG, L-RG and LNP cells.
According to some embodiments of the invention, the HES5+ mid radial glial
(M-RG) cells are capable of differentiating into L-RG and LNP cells.
According to some embodiments of the invention, the HES5+ late radial glial (L-RG) cells are capable of differentiating into LNP cells.
According to some embodiments of the invention, the isolated population of cells of some embodiments of the invention is for use in the treatment of a CNS disease or disorder.
According to some embodiments of the invention, the successive isolation comprises at least two isolation steps following at least two culturing steps, wherein a first isolation of the at least two isolation steps is effected up to 12 days of a first culturing of the at least two culturing steps, and wherein a second isolation of the at least two isolation steps is effected up to 5 days of a second culturing of the at least two culturing steps.
According to some embodiments of the invention, the successive isolation comprises at least three isolation steps following at least three culturing steps, wherein a third isolation of the at least three isolation steps is effected up to 21 days of a third culturing of the at least three culturing steps. According to some embodiments of the invention, the successive isolation comprises at least four isolation steps following at least four culturing steps, wherein a fourth isolation of the at least four isolation steps is effected up to 45 days of a fourth culturing of the at least four culturing steps.
According to some embodiments of the invention, the successive isolation comprises at least five isolation steps following at least five culturing steps, wherein a fifth isolation of the at least five isolation steps is effected up to 140 days of a fifth culturing of the at least five culturing steps.
According to some embodiments of the invention, the first isolation results in a population of cells comprising HES5+ neuroepithelial cells.
According to some embodiments of the invention, the second isolation results in a population of cells comprising HES5+ early radial glial cells.
According to some embodiments of the invention, the third isolation results in a population of cells comprising HES5+ mid radial glial cells.
According to some embodiments of the invention, the fourth isolation results in a population of cells comprising HES5+ late radial glial cells.
According to some embodiments of the invention, the fifth isolation results in a population of cells comprising HES5+ long term neural progenitor cells.
According to some embodiments of the invention, the first culturing is performed on an extracellular matrix or a feeder cell layer.
According to some embodiments of the invention, the first culturing is performed in the presence of a culture medium which comprises Noggin, SB-431542 and LDN-193189.
According to some embodiments of the invention, the second culturing is performed on an extracellular matrix.
According to some embodiments of the invention, the second culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 8 (FGF8) and brain-derived neurotrophic factor (BDNF).
According to some embodiments of the invention, the third culturing is performed on an extracellular matrix. According to some embodiments of the invention, the third culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
According to some embodiments of the invention, the fourth culturing is performed on an extracellular matrix.
According to some embodiments of the invention, the fourth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
According to some embodiments of the invention, the fifth culturing is performed on an extracellular matrix.
According to some embodiments of the invention, the fifth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
According to some embodiments of the invention, the method of isolating neural progenitor cells further comprising qualifying presence of a neural progenitor cell of interest according to at least one marker comprised in an expression signature of the neural progenitor cells, wherein:
(i) an expression signature of HES5+ neuroepithelial cells comprises HES5+/SOX l+/PAX6+/SOX2+/Nestin+/CDC6+/CDX 1+/CENPH+/TOP2A+;
(ii) an expression signature of HES5+ early radial glial cells comprises
HES 5+/ARX+/FEZF2+/NR2E 1 +;
(iii) an expression signature of HES5+ mid radial glial cells comprises HES5+/POU3F2+/GLAST+/FABP7+;
(iv) an expression signature of HES5+ late radial glial cells comprise HES5+/OLIG1+/PDGFRA+/CUX1+/CUX2+/POU3F2+/S 100B+/EGFR+;
(v) an expression signature of HES5+ long term neural progenitor cells comprise HES5+/ANXA2+/LGALS 1+/EGFR+/ S 100B+.
According to some embodiments of the invention, the method further comprising qualifying presence of a neural progenitor cell of interest according to epigenetic analysis functional phenotype and/or morphological phenotype.
According to some embodiments of the invention, the stem cells are derived from a subject having a CNS disease or disorder. According to some embodiments of the invention, the CNS disease or disorder comprises a motor-neuron disease.
According to some embodiments of the invention, the CNS disease or disorder is characterized by cortex damage.
According to some embodiments of the invention, the culture medium further comprising sonic hedgehog.
According to some embodiments of the invention, the HES5- cells of (i) are characterized by a higher expression level of at least one gene selected from the group consisting of: LHX1, CNTN2, ST18, EBF3, NFASC, FSTL5, ONECUT2, SLC17A6, EBF1, SLIT1, SYT4, NEFM, NEUROD1, PARM1, CHN2, DNER, HMP19, TFAP2B, DCX, KLHL35, PAPPA, OLFM1, NHLH1, RTN1, GAP43, GFRA1, CHL1, FNDC5, SCN3A, NPTX2, EOMES, CADPS, NHLH2, TMEM163, STMN3, LRRN3, NEFL, ROB02, INA, PHLDA1 , GRIA1, GRIA2, DCLKl, CRABPl, OLIG2, SCG3, TMEM158, FBXL16, F AM 123 A, SYP, KIF21B, PCDH9, CDKN1C, IGFBPL1, RSP03, GABRB3, TAGLN3, KCNH2, EPB41L3, EYA2, TMOD2, NCAN, GABBR2, D4S234E, PI15, ANK2, SLC1A2, NRCAM, CBLB, CAMK2N1, ZIC3, PTPRN2, SORBS1 , NXPH1, BAALC, CLASP2, DPP6, MAP6, FIGNL2, KIAA0802, KEFl A, TMEM170B, SLC22A23, TMEM178, CTNND2, CADM1, LGALS3, TCEAL7, CD9, GLB1L2, NFIA, YPEL3, TNFRSF19, SPINK5, PNMA2, IRX5, SIN3B, STK38, NR3C1, SOX8, SLC6A8, SYNPR, SGK223, BASP1 and APC as compared to the expression level of the at least one gene in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5- cells of (ii) are characterized by a higher expression level of at least one gene selected from the group consisting of: GREM1, COL3A1, PCDH8, SEMA3C, BMP4, NID2, TNC, COL1A2, ANKRD1, ANXA1, TMEFF2, PDZRN3, ANXA3, KRT8, LEPRELl, NOX4, LAMB 1, FLNC, FST, IMMP2L, S100A4, GDF15, PHACTR2, METTL7A, MAMDC2, DDIT4, BCHE, OCIAD2, TNFRSF10D, BBS9, ELOVL2, TUBA1C, CHST7, RBM47, TFPI, NEBL and LHFP as compared to the expression level of the at least one gene in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5- cells of (iii) are characterized by a higher expression level of the ACSS1 gene as compared to the expression level of the gene in HES5+ mid radial glial cells. According to some embodiments of the invention, the HES5- cells of (iv) are characterized by a higher expression level of at least one gene selected from the group consisting of: THBS1, KLHL4, A2M, EN2, SLC6A6, ACTA2, ST6GAL1, SLC7A8, GRM3, FAM65B, CALB1, MYLK, TNNT1, PTX3, MFAP2 and HMGA2 as compared to the expression level of the at least one gene in HES5+ late radial glial cells.
According to some embodiments of the invention, the HESS- cells of (v) are characterized by a higher expression level of at least one gene selected from the group consisting of: FBN2, NELL2, KALI, PCDHB5, ST8SIA4, DCN, SLC6A1, CADM2, BCL11A, DDB2, ANXA11, PAK1, ID3, IGF2BP1, ANK3, ZEB2 and CREB5 as compared to the expression level of the at least one gene in HES5+ long term neural progenitor cells.
According to some embodiments of the invention, the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEFl, POU3F2, SOX8, SOX21, TEAD1, NFATCl, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSX1, RFX1, NR4A2, MEIS2, SOX15, STAT5B, SATBl , RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRX1, STAT1, POU3F1, FOXB1, CTNNB1, PBXl , ZNF143, NFATCl, SOX21, TCF7L1 , ARX, SOX15, RXRA, TFAP4, CUX1, OTX2, NR2E1, CUX1, ZNF232, NR2F1, SOX4, MEIS1, PBX1, CUX1, NEUROD1, MSX1, ZNF652, MEF2A, OLIG1, POU6F2, IKZF2, MECOM, STAT1, ESRRA, IRF7, STAT1, MYBL2, BCL6, ELK1, ATF2, SMAD3, ATF4, DLX1, MEF2A, DBP, MAF, MEF2A, TEAD2, SMAD3, SOX15, POU6F1 , BARHL2, FOXG1, LHX9, MECOM, ARNTL, MYC, ZNF75A, NFIA, VAX1, GBX2, HOMEZ, FOX04, FOX04, FOXB1, ZSCAN16, ELK1, ATF2, CREB1, USFl , ESRRA, ZNF282, NEUROG2, NFYA, NR4A1, CTF1, ELKl, POU3F2, ELKl, HSF1, E2F3, CUX1, CREB1, ELF2, MYBL2, HMGA2, SRF, ZNF410, JDP2, NR2F1, PAX3, NRFl, SMAD4, ZNF85, ZNF628, NFATCl, CREB1, E4F1, NR2F6, NHLH1, IRF2, PBX1, FOXJ3, RORA, IRF7, NR6A1, LHX2, PAX3, NR2E1, POU3F1, ZFP42, E2F4, ETV5, ELF3, USFl, ATF6, TFAP2B, CUX1, IRF3, RXRA, PEBP1, LHX2, GZF1, MEF2A, MEF2A, IRF9, MGA, VBP1, GMEB2, YY1, ELF1, POU3F3, GTF2IRD1, IRF3, SRF, XBP1, ESRRA, HEY1, NFKB2, IRF2, EOMES, FOXB1, NR2F1, NR4A2, STAT3, SP1, RARA, CREB1, NR2F1, FOXJ3, HSF1, MYBL2, SRF, ETV2, MECP2, E2F1, FOXJ2, JUN, SCRT2, DLX1, E2F1, E2F1 and ATF2as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl , SMAD4, CTF1 , SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBF1, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NR2F1, MZF1, ESRRA, TFCP2, NR2F1, ESRRA, TERF1, KLF3, XBP1, RORA, PBX1 , MYC, SNAI2, TEAD2, CENPB, PEBP1, HINFP, SREBF1, YY1, E2F1, HSF2, CNOT3, MEIS2, MEF2A, RXRA, CREB3L1, MYBL2, ZNF524, TFAP4, RFXl , NFYA, ZBTB33, RREB1 , NR6A1, HES5, TFAP2B, HIF1A, INSM1, ZNF524, ELF1, SMAD4, STAT3, TFAP2B, USF1, GLI3, GLI2, ETV2, E2F1, CREB3, NFKBl, MYC, SRF, TFCP2, ATF3, ELKl, TP53, E2F4, ELF2, DEAFl, RXRA, ZNF423, FOXG1, ZNF628, NEUROD1, ARNTL, STAT1, PAX3, NR6A1, ESRRA, TCF4, YY1 , PBX1 , VAXl, NRF1, ETVl, FOXBl, ZNF85, CREBl, PRDM4, MYBL2, NHLH1, CREBl, KLF13, TRIM26, ZNF148, E4F1, USF1, JDP2, OLIG1, GZF1, ATF2, CREBl, FOX04, SMAD3, CLOCK, ZNF282, ZSCAN16, CUX1, NFKBl, RFXl, ETV5, MEF2A, GTF2IRD1, TFAP2B, NHLH1, ELF1, PAX3, MNT, ZNF740, CREBl, ESRRA, EOMES, EGR2, NR4A2, BCL6, ZNF143, MAFF, CUX1, NR2F1, TFAP2B, NEUROG2, TCF3, ATF3, PLAGl, ESRRA, E2F1, KLF13, MSX1, SCRT2, GABPB1, SOX9, NFKB2, EOMES, SDG, MECOM, BCL6, POU3F3, HINFP, NFATC1, TBR1, MYBL2, USF1, SP1, ATF2, LHX2, MYBL2, POU3F3, HEY1, MEF2A, MGA, SOX9, E2F7, IRF3, SRF, POU3F2, SREBF2, NFKBl, MAF, ZNF784, NR1H2, MSX1, RORA, LM02, HINFP, ZNF23, FOX04, NR4A2, POU6F2, ID4, RARA, KLF13, LEF1, PATZ1, ELK1, DLX1, E2F4, E2F4, ELK1, MAZ, ATF6, TFAP4, RARA, PAX6, EGR2, HOMEZ, ELK1, E2F1, GMEB2, ATF4, ATF2, MAX, MGA, NFKB2, ESRRA, E2F4, STAT3, TCF3, NR2E1, ELF3, SOX4, USF1 and ZNF652 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFXl , TGIFl , ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl, TCF4, MZF1, STAT1, MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEF1, NFYC, MAFF, ZNF263, YYl , POU3F3, TGIF1, STAT3, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4, XBP1, USF1, POU3F2, CREB3, EP300, PBX1, STAT3, TFCP2, POU2F2, IRF3, FOXB1, MSX1, POU3F3, ELK1, DBP, CUX1, MEF2A, POU6F2, ARNTL, ZSCAN16, MEF2A, ETV4, OLIG1, HOMEZ, DLX1, PRRX1, MSX1, MYC, FOX04, MEF2A, MZF1, ATF2, GMEB2, NFYA, ESRRA, SOX9, PBX1, POU3F2, MECOM, SMAD3, MAZ, ELK1, BCL6, ELF3, PAX3, ELF1, SFl , BCL6, EMX2, STAT1, E2F1, ELF2, CLOCK, ELK1, STAT3, ATF5, THRA, SOX9, SRF, TCF4, ATF3, CTNNBl, USFl , FOXJ3, USF1, ZNF282, NEUROG2, ESRRA, REST, E2F3, ZBTB7A, MYBL2, HSF2, MAX, ZNF143, MYBL2, SRF, FOX04, NR4A2, CUX1, E2F4, MSXl , EOMES, MAF, MNT, POU6F1, NFATC1 , STAT3, CREB3, SOX9, ZNF85, CREB3L1, TCF3, ELK1, IRF2, YYl, SOX15, PAX6, E4F1, MEF2A, ATF2, NFE2L1, NFATC1, ATF2, YYl, SRF, ARX, ETV2, HINFP, MAZ, NR4A1, INSM1, ZNF652, USF1, NFKB1, GBX2, POU3F4, IRF9, POU6F1, LHX2, NR4A2, POU6F2, FOXJ2, CEBPG, VBP1, TERF1, ESRRA, PAX6, ZIC3, IRF2, MAF, SOX21, CREBl , CREB3, IRF7, POU3F3, NFKB2, ATF4, MYBL2, SREBF2, SOX9, YYl, RBPJ, FOXJ3, HSF1, HMGA2, CUX1, POU3F2, EOMES, ZNF423, ESRRA and KLF13 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
Unless otherwise defined, all technical and/or scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the invention pertains. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of embodiments of the invention, exemplary methods and/or materials are described below. In case of conflict, the patent specification, including definitions, will control. In addition, the materials, methods, and examples are illustrative only and are not intended to be necessarily limiting.
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS
Some embodiments of the invention are herein described, by way of example only, with reference to the accompanying drawings. With specific reference now to the drawings in detail, it is stressed that the particulars shown are by way of example and for purposes of illustrative discussion of embodiments of the invention. In this regard, the description taken with the drawings makes apparent to those skilled in the art how embodiments of the invention may be practiced.
In the drawings:
FIGs. 1A-C depict a schematic illustration and microscopy images showing that notch activation links major neural lineage transitions in hESC derived neural stem and progenitor cells. Figure 1A - Neural differentiation scheme showing the differentiation of human stem cells into the neocortex. Neural induction was performed by a dual SMAD inhibition protocol followed by long-term propagation with the factors indicated for 220 days ("D" = day(s)). Naming conventions representing neuroepithelial (NE), early radial glial (E-RG), mid-radial glial (M-RG), late radial glial (L-RG) and long term cultured progenitors (LNP) are indicated. Figure 1B - Bright field microscopy of progenitor cells during long-term differentiation shows dynamic morphological features. Scale bar: 50 μηι (valid for all images in Figure IB). GFP (green fluorescent protein) matched images can be seen in Figure 8A. Figures 1C-E - Combined HES5::eGFP reporter expression and immunostainings of stem/ progenitor as well as differentiation markers throughout the progression period. Figure 1C - PAX6, SOX1 and HES5 induction during early stages (See also Figures 8A-B for HES5::eGFP percentages).
FIG. 1D - SOX1 expression and DAPI nuclear counterstaining;
FIG. 1E - NESTIN and DCX expression. Scale bar: 50 μm (valid for all images in Figures 1C-E). Individual qPCR analyses for all genes tested at all stages are shown in Figure 8D.
FIGs. 2A-C demonstrate that early Notch activation in NE cells confers amenability to neural patterning cues. Figure 2A - Neural patterning paradigm scheme. PSCs (pluripotent stem cells) were subjected to neural induction and were exposed to patterning cues directing differentiation into forebrain, midbrain and spinal cord cell fates with the morphogenes indicated. Region specific progenitors were sorted to high, medium or low HES5::eGFP expressing populations followed by neuronal differentiation. Figure 2B - Immunostaining for respective neuronal progeny derived from HES5+ (top) or HES5- (bottom) on day 12 of progression. Cortical neurons are marked by TBRl (left top image, in red), midbrain dopaminergic neurons marked by FOXA2/TH (middle top image, in red) and spinal cord motoneurons are marked by HB9 (right top image, in red) are shown. Scale bar: 50 μηι. Figures 2C-E - Histograms depicting quantitative PCR analysis of transcript levels of HES5 as well as selected regional markers in high (++, dark green bars), medium (+, light green bars) and low (-, gray bars) HES5 expressing progenitors, in their proliferative state (Day 12 or Day 14) and following terminal neuronal differentiation (Day 19, Day 26, or Day 28). Figure 2C - Midbrain dopamine neurons;
FIG. 2D - Forebrain cortical neurons;
FIG. 2E - Spinal cord Motoneurons. All transcript levels shown are normalized to respective HPRT levels in each sample. Values were obtained from three technical replicates. Statistical analysis: mean + SEM; T- Test: (***) P < 0.001; (**) P < 0.01; (*) P < 0.05. Individual qPCR analyses for additional regional or neuronal markers are shown in Figure 9A.
FIGs. 3A-E demonstrate that consecutive isolation of Notch active progenitors recapitulates cortical lamination and glial fates.
Figure 3 A - Combined HES5::e.GFP reporter expression and immunostainings of cortical layer specific neuronal markers. Early born neurons expressing TBRl, RELN and CTIP2 (top two panels), and late derived neurons expressing SATB2, BRN2 and CUX1 (bottom two panels), are shown for NE, M-RG and L-RG progenitors that were subjected to neuronal differentiation. Insets for RELN/TBR1 and SATB2/BRN2 show magnified areas within the image. Inset for CTIP/TUJ1 show same magnification but a different view of neuronal axons. Images of HES5+ derived neurons are shown. Scale bars: 50 μηι for images, 25 μηι for Insets. Images of HES5- derived neurons and percentages of all cortical subtypes derived from both HES5+ and HES5- cells are presented in Figure 12B. Figure 3B - Distribution of relative transcript abundance based on qPCR for selected stage specific marker gene groups for either deep or upper layer neuronal progeny. Contributions of HES5+ (marked as +) and HES5- (marked as -) populations per each respective stage are shown. Marker gene groups for each progenitor stage were created by collapsing the normalized values of TBR1/RELN, CTIP2/FEZF2 and CUX1/CUX2/SATB2 (see Experimental Methods in the Examples section which follows for details). Individual qPCR analyses for all genes tested at all stages are shown in Figures 11 A- .
Figures 3C-D - A histogram depicting the cumulative neuronal marker levels based on absolute transcript levels (Figure 3C) and a graph depicting the sum of neuronal transcripts in HES5+ or GES5- cells (Figure 3D). Note the decrease in total neuronal progeny as shown in Figure 3D.
Figure 3E - Distribution of relative transcript abundance based on qPCR for selected stage specific marker genes for indicated progenitor or neuronal cell markers. Contributions of HES5+ and HES5- populations per each respective stage from either untreated or DAPT treated cells are shown. Expression levels relative to HPRT of all four conditions (color coded) were summed per each gene and plotted as a single bar.
FIGs. 3F-G - An image (Figure 3F) and a histogram (Figure 3G) depicting combined HES5::eGFP reporter expression and immunostaining of the glial marker GFAP following differentiation of distinct progenitor stages (Figure 3F). Scale bar: 50 μιη. Figure 3G - GFAP transcript level as assessed by qPCR. Values were obtained from three technical replicates. Statistical analysis: mean + SEM. Note that the glial marker GFAP is upregulated (Figure 3G).
FIGs. 4A-E demonstrate that transition through progenitor cell stages demarcates developing rosettes as VZ and SVZ equivalents. Figure 4A - Differential expression levels for selected genes that are most differentially expressed between HES5+ and HES5- cells in a stage specific fashion. Selected gene members are indicated on the left, developmental stages are indicated on the bottom, and gene categories classified by stage are indicated on the right. Values plotted on the heatmap represent ratios of expression levels relative to ES cells. Figures 4B-C - Relative expression levels (z- scores) based on microarray expression data for the entire differentiation time course for selected germinal zone marker genes. Expression levels are shown for HES5+ (Figure 4B) and HES5- (Figure 4C) samples separately. Genes are ordered from VZ to SVZ and from neurogenic to gliogenic markers. Individual qPCR analyses for all genes tested at all stages are shown in Figure 13C. Note that the apparently high GFAP expression in HES5+ cells at the L-RG stage has in fact low absolute expression values, and only appear high relatively to expression in other stages (all stages per each gene are normalized to 1; i.e. highest red intensity). To compare GFAP transcript levels during proliferation and serum induced astrocytic differentiation, see Figures 5D and 3G, respectively. Figure 4D - Combined HES5::eGFP reporter expression and immunostainings of neural stem / progenitor markers, RG markers, and proliferation markers throughout the progression period. From Top: PAX6 marking the VZ and TBR2 marking the SVZ are shown. Middle: CUX1 marking SVZ is shown. Bottom: the mainly SVZ marker POU3F2 is shown. Scale bar: 50 μm (valid for all images in Figure 4D). Figure 4E - High power magnification of E-RG and M-RG images shown in Figure 4D. Dashed lines demarcate proposed VZ, SVZ and OSVZ regions, containing apical RG, INPs and basal RG, respectively. Scale bar: 25 μηι (valid for all images in Figure 4E).
FIGs. 5A-D - Glial transformation with respect to Notch activation. Figure 5 A - Combined HES5::eGFP reporter expression and immunostainings of the RG markers GLAST (top) and FABP7 (bottom). Scale bar: 50 x (valid for all images in Figure 5A). Figure 5B - High power magnification of E-RG and M-RG images for selected genes shown in Figure 5A. Scale bar: 25 μτη (valid for all images in Figure 5B). Figure 5C - EGFR expression percentages by FACS analysis for L-RG (purple) and LNP (turquoise) stages is shown. Average of 2 independent experiments is shown. Statistical analysis: mean ± SEM. Figure 5D - Relative GFAP expression levels based on qPCR data for the entire progression period. Relative expression levels are shown for HES5+ and HES5- samples during progenitor proliferation. Values were obtained from three technical replicates. Statistical analysis: mean + SEM. Compare the very low absolute levels of GFAP during proliferation (Day 80 HES5+ cells) to GFAP levels at the same progenitor type following astrocytic differentiation in Figures 3F-G.
FIGs. 6A-B Global gene expression cluster analysis for stage specifically expressed genes. Figure 6A - Selected trends of global gene expression clustering comprising 496 genes using k- means (k=100) for all differentially expressed genes across the differentiation time course of HES5+ cells. Gene expression levels were log2 transformed and normalized to hESC by subtracting their respective hESC level. For all stages expression levels in HES5+ and HES5- cells, are shown. Selected gene members of each cluster are indicated on the right while the cluster naming conventions are indicated on the left. Arrays were obtained from single replicates first used as a discovery tool, and then extensively validated by qPCR and immunostainings from independent experiments throughout the manuscript. Figure 6B - Gene set enrichment analysis results (using IPA, p- Values are calculated using right-tailed Fisher Exact Test) of gene sets selected from the top 10 categories for each cluster are shown. Color code indicates -log 10 p- Value.
FIG. 7 - Schematic model for NSC progression. Neuroectodermal cells yield the earliest NE cells of the CNS by launching Notch activation and HES5 expression, while non-CNS neuroectodermal cells lack this activation. Under proliferation conditions, HES5+ NE cells yield consecutive radial glial progenitor cell types and their corresponding neuronal and glial progeny, hence considered as primary NSCs generating CNS neural diversity. Following mitogen withdrawal, HES5+ NE cells exert their competence towards deep layer specific neuronal types (RELN, TBR1 but also FEZF2 and CTIP2; blue-to-red wave, bottom panel) and do so in a Notch dependent manner. In addition, they also upregulate SVZ progenitor markers such as TBR2 and CUX1, CUX2 at the RNA level (Red font, light brown early wave; bottom panel) and in a Notch dependent manner, implying on their future potential to generate these progenitors at later stages. In contrast to NE cells, HES5+ E-RG cells are already committed to early dorsocaudal cortical identity, based on their elongated polarized cell morphology, rosette formation capacity and FEZF2 and EMX2 expression. Hence, they exhibit competence towards deep layer neurons (CTIP2, FEZF2; blue-to-red wave, bottom panel). M-RG stage cells are characterized by lower HES5 percentages, reduced rosette organization, substantial accumulation of HES5+ derived HES5- progenitors expressing CUX1, CUX2 and TBR2 at the protein level, and competence for yielding upper layer neuronal fates (CUX1, CUX2, SATB2; brown wave, bottom panel) in a Notch independent manner. HES5+ L-RG cells are able to give rise to astrocytes in a Notch dependent manner (GFAP; light blue wave, bottom panel), yet both HES5+ and HES5- cells at that stage continue to contribute to neurogenesis. Ultimately, L-RG cells transform to long-term progenitors (LNP) associated with adult NSC progeny (purple wave, bottom panel). Horizontal green and black arrows mark transition in a Notch dependent and independent manner, respectively. Diagonal green and black arrows mark HES5+ and HES5- cells, respectively, subjected to differentiation following FACS- based separation. When indicated, Notch active pathways were confirmed by DAPT (red bar-headed lines). Top panel shows cell types and developmental potential. Bottom panel shows temporal phases of neuronal and glial markers derived by the stages indicated above. BP, basal progenitors.
FIGs. 8A-F demonstrate HES5 expression dynamics in PSC derived neural progenitors. Figure 8A - Fluorescent microscopy of HES5::eGFP during long-term differentiation shows dynamic morphological features through neural progenitor cell progression in vitro. Scale bar: 50 μm. Figure 8B - Top: FACS charts depicting ES cells purified for pluripotency markers. SSEA-4 and TRA-1-60 surface markers are presented (right). Unstained cells are shown on the left. Bottom: HES5::e.GFP percentages for all stages are shown. Percentages indicated are representative of three independent experiments. Figure 8C - SOX1 and PAX6 expression in neuroectodermal cells at days 5 and 8, prior onset of HES5::eGFP. Scale bar: 25 μηι. Figure 8D - Quantitative PCR analysis of transcript levels of neural stem and progenitor cell markers (for whom immunostainings is shown in Figures 1C-E. Relative expression levels for HES5+ and HES5- samples across the entire progression period are shown. Values were obtained from three technical replicates. Statistical analysis: mean + SEM. Figure 8E - Top: Expression dynamics of early rosette markers (PLZF) and late glial progenitor markers (S100B) during progression in vitro are shown. Scale bar: 50 μm. Bottom: qPCR analysis of PLZF, S100B and EGFR are shown. Figure 8F - Combined HES5::eGFP reporter intensity and immunostainings for multipotency marker expression of progeny derived from LNP progenitor stages. GFAP, TUJ1 and 04 are shown from left to right. Scale bar: 50 μm.
FIGs. 9A-F demonstrate CNS fate specification and regional patterning potential in HES5+ and HES5- progenitors. Figure 9A-Cs - Quantitative PCR analysis of transcript levels of the regional marker HOXB4 (Figure 9B) and the neuronal marker TUJ1 (Figure 9A) during motoneuron differentiation (Figures 9A-B), or TUJ1 expression during dopamine neuron differentiation (Figure 9C). High (++, dark green bars), medium (+, light green bars) and low (-, gray bars) HES5 expressing progenitors, in their proliferative state (Day 12 or Day 14) and following terminal neuronal differentiation (Day 28 for motoneurons, Day 19 and Day 26 for dopamine neurons) are shown. All transcript levels shown are normalized to respective HPRT levels in each sample. Values were obtained from three technical replicates. Statistical analysis: mean ± SEM; T-Test: (***) P < 0.001; (**) P < 0.01; (*) P < 0.05. Figures 9D-F - CNS fate specification required Notch activation. Neurally induced cells were treated with or without the Notch inhibitor DAPT on either day 2 or day 6 of neural induction and harvested for qPCR analysis on Day 9. Relative expression (compared to HPRT) of early appearing CNS markers PAX6 (Figure 9D) and HES5 (Figure 9E) and the neural crest/placodal marker SIX1 (Figure 9F) on Day 9 is shown. Values were obtained from three technical replicates. Statistical analysis: mean + SEM.
FIGs. 10A-E depict cell fate and proliferation marker segregation in consecutively sorted HES5+ and HES5- cells. Figures lOA-C - Immunostainings for CNS and non-CNS markers PAX6 and AP2a, respectively, in NE stage HES5+ and HES5- cells and their directly and consecutively derived E-RG stage HES5+ and HES5- progeny (see Experimental Methods in the Examples section which follows for details). Acute fixation and staining following sorting is shown (Figure 1.0A). Quantification of PAX6 (Figure 10B) and AP2a (Figure IOC) cell ratios reflecting segregation of CNS and non-CNS cell fates via Notch activation and inactivation, respectively, is shown. Lineage relations for each stage analyzed (NE, E-RG) are indicated by vertical arrows on the x-axis. Scale bar for images and insets: 50 μιη. Figure 10D - Additional anterior CNS and NSC markers OTX2 and SOX2, as well as the neuronal marker DCX are shown for NE stage HES5+ and HES5- progenitors acutely sorted and analyzed. Scale bar: 50 μm. Figure 10E - Immunostainings for the S-Phase marker BrdU are shown in an experiment performed similar to the one presented in Figure 10A. Immunostainings were performed immediately after sorting, re-plating, and 1 hour of BrdU labeling are shown. Quantification of BrdU+ cell ratios is shown through stages examined on the right. Quantifications in Figures 10A through 10E are representative of at least 2 independent experiments. Scale bar: 25 μιη.
FIGs. 11A-K depict transcript validation of cortical lamination by PSC derived consecutively appearing neural progenitors. Individual qPCR analyses of laminar markers in neuronal progeny derived from HES5+ and HES5- progenitor populations from NE, E-RG, M-RG and L-RG stages. Figure 11A - RELN expression levels in marginal zone; Figure 1 IB - TBR1 expression levels in subplate, layer VI; Figure 1C - CTIP2 expression levels in subcerebral, layer V; Figure 11D - FEZF expression levels in subcerebral, layer V; Figure 1 IE - NR2F1 expression levels in subcerebral, layer V; Figure 11F - PCP4 expression levels in subcerebral, layer V;; Figure 11G - TBR2 expression levels in SVZ, callosal layer, II-IV; Figure 11H - CUX2 expression levels in S VZ, callosal layer, Π-IV; Figure 1 II - S ATB2 expression levels in SVZ, callosal layer, II-IV; Figure 11 J - BRN2 expression levels in SVZ, callosal layer, II-IV; Figure UK - CUX1 expression levels in SVZ, callosal layer, II-IV; Values from selected genes were collapsed together for generating the pie charts and bars shown in Figures 3B, 3C, and 3E. All transcript levels shown are normalized to respective HPRT levels in each sample. Values shown were obtained from three technical replicates of a representative experiment. Statistical analysis: mean ± SEM; T-Test: (***) P < 0.001; (**) P < 0.01 ; (*) P < 0.05.
FIGs. 12A-G depict differentiation capacity of HES5- progenitor cell stages.
Figure 12A - Combined HES5::eGFP reporter expression and immunostainings of cortical layer specific neuronal markers for neuronal progeny derived from HES5- cells across stages is shown. Panels and stainings are ordered identically to the ones shown for HES5+ progenitor stages in Figure 3A. Insets show compressed magnification of a matched DAPI image for the entire corresponding image. Scale bars: 50 μιη for images, 100 μηι for Insets. Figures 12B-G - Quantification of marker immunofluorescence intensity of the neuronal progeny shown in Figure 12A. Figure 12B - RELN expression; Figure 12C - TBR1; Figure 12D - CTIP2; Figure 12E - SATB2; Figure 12F - BRN2; Figure 12G - CUX1. Entire image cell counting relative to DAPI of at least 2 independently taken images for one representative experiment is shown. Also shown in each of the charts is the quantification of cell ratios expressing these specific neuronal markers from HES5+ progenitors (for which images are shown in Figure 3A). Statistical analysis: mean ± SEM.
FIGs. 13A-J depict spatiotemporal progenitor marker expression during progression in vitro: rosettes as VZ and SVZ equivalents. Figure 13A - Combined HES5::eGFP reporter expression and immunostainings for the mitotic (M-Phase) marker PHH3 and the cell cycle marker KI67. Scale bar: 50 μιτη. Right panel shows high power magnification of E-RG and M-RG rosettes shown on the left. Scale bar: 2 μηι. Figure 13B - Separate channel presentation for high power magnification images of E- RG and M-RG rosettes shown in Figure 4E. POU3F2, TBR2, and CUX1 are shown. Dashed lines demarcate proposed VZ, SVZ (also referred to as inner SVZ) and OSVZ (outer SVZ) regions, containing apical RG (radial glial). Intermediate neural progenitor (INP)s and putative basal RG, respectively. Scale bar: 25 μm. Figures 13C-J - Quantitative PGR validations of transcript levels for all VZ and SVZ markers whose gene array levels are represented by heatmaps on Figure 4B are shown. Figure 13C - FEZF; Figure 13D - TBR2; Figure 13E - POU3F2; Figure 13F - POU3F3; Figure 13G - CUX1; Figure 13H - CUX2; Figure 131 - FABP7; Figure 13 J - GLAST. Relative expression levels for HES5+ and HES5- samples across the entire progression period are shown. Values were obtained from three technical replicates of a representative experiment. Statistical analysis: mean ± SEM.
FIGs. 14A-G depict stage specific marker validation. Figure 14A-E - qPCR validation of transcript levels for selected markers across all stages and across HES5+ and HES5- populations. Figure 14A - LRG5; Figure 14B - NR2E1; Figure 14C - EZH2; Figure 14D - DCN; Figure 14E - LGALS1. Relative expression (compared to HPRT) is shown. Values were obtained from three technical replicates. Statistical analysis: mean ± SEM. Figure 14F-G - Combined HES5::eGFP reporter expression and immunostainings for selected stage specific identified markers. Figure 14F - images, Scale bar: 50 μm; Figure 14G - Statistical analysis for qPCR, shown are the Mean ± SEM.
FIGs. 15A-D show that consecutive stages of ES cell derived neural progenitors are characterized by distinct epigenetic states. Figure 15A - Left: Schematic illustration of the cell system. Middle: Normalized read-count level for H3K27ac over a 1.4 mega base (mb) region around the SOX2 locus (chr3: 180,854,252- 182,259,543). ChlP-Seq read counts were normalized to 1 million reads and scaled to the same level (1.5) for all tracks shown. Right: Additional tracks for H3 4me3, H3K4mel and H3K27me3 as well as DNAme (scale 0-100%), OTX2 and expression covering a 100 kilo base (kb) sub- region (chr3:181 ,389,523-181,490,148) of this locus. Histone and RNA-Seq data were normalized to 1 million reads and are shown on distinct scales. Figure 15B - Maximum gene set activity levels shown as z- scores for genes expressed in defined brain structures (left) and developmental time points (right) based on the mouse Allen Brain Atlas. Gene set activity was defined as average expression level of all member genes followed by z- score computation across all nine cell types. Abbreviations used: Rostral secondary prosencephalone (RSP), Telencephalon (Tel), peduncular (caudal) hypothalamus (PHy), Hypothalamus (p3), pre-thalamus (p2), pre-tectum (pi), midbrain (M), prepontine hindbrain (PPH), pontine hindbrain (PH), pontomedullary hindbrain (PMH), medullary hindbrain (MH); and embryonic (E)11.5, E13.5, E15.5, E18.5 as well postnatal P4, P14 and P28. Figure 15C - Distribution of DNAme levels for differentially methylated regions (delta meth>0.2, p<0.01) across state transitions. For instance, distributions for regions gaining methylation in the transition from ES cell to NE (top left) at all stages of differentiation. Distinct methylation level trace plots are shown for regions gaining methylation (left) during the specific transitions (indicated on the side) and loss of methylation (right). Black labeled samples are based on WGBS data and grey color samples (LRG and LNP) were profiled by RRBS. Figure 15D - Bar plot of the frequency and associated mark of epigenetic changes for all cell state transitions broken up into gain and loss for consecutive differentiation stages.
FIGs. 16A-B show that distinct transcription factor modules are associated with stage specific epigenetic transitions. Figure 16A - Illustration of epigenomic footprinting across the PAX6 locus (chrl 1 :31 ,780,014-31,842,503) for dips in H3K27ac regions (right). Black boxes highlight footprints (FP) determined for H3K27ac peaks that harbor various putative transcription factor (TF) binding sites based on motif matching. Figure 16B - The 40 top ranked TFs predicted to be activated during the cell state transition indicated on the bottom. Color-coding represents normalized TF epigenetic remodeling scores, averaging over all TERAs based on 7H3K4me3, H3K4mel, H3K27ac and DNAme. In addition, predictions were filtered for factors expressed at least at the stage of predicted induction.
FIGs. 17A-D show that a pooled shRNA (short hairpin RNA) screen recovers predicted regulators of in vitro NPC differentiation. Figure 17A - Simplified schematic of the pooled shRNA screen (Figures 22A-G). Figure 17B - Depletion scores for all genes that are significantly reduced (q-value< 0.05 for at least 2 different shRNAs per gene) in at least one stage for FACS purified HES5+ cells 6 days after knockdown compared to FACS sorted HES5- obtained from the same infection or compared to cells collected 24h after infection (Figure 22 A). Depletion score indicates the extent to which shRNAs targeting a particular gene were lost during the knockdown period relative to the control, indicating potential relevance of a particular gene for HES5+ maintenance, NPC state progression and proliferation or cell survival. Higher depletion scores (red) indicate stronger reduction in shRNA presence; scores were capped at 1.5 and computed based on at least three technical replicates per condition. Figure 17C - Overlap of genes detected to be significantly depleted in the HES5+ population relative to at least one of the control conditions. Figure 17D - Performance of combined regulator predictions based on TERA ranking averaged over H3K4me3, H3K4mel, H3K27ac and DNAme. Performance is measured as percentage of the top 20 predicted activating or repressing motifs for each stage mapping to TFs included in the shRNA library.
FIGs. 18A-E show that a set of core TFs dynamically associates with stage- specific factors to modulate NPC identity and differentiation potential. Figure 18A - Predicted top 10 significant (p<0.01, odds ratio>1.5) co-binding relationships in dynamically regulated H3 27ac footprints for a set of 10 TFs (bold) essential for HES5+ cells at each stage. Stage-specific predicted co-binding relationships are indicated in blue (NE), red (ERG) and grey (MRG). All predicted relations are supported by a knockdown effect of each gene at the relevant stage. Figure 18B - Gene expression patterns shown as z-scores for the core network TFs as well as all predicted co-binding partners across ES cells, all NPCs and more mature cellular states. Figure 18C - Venn diagram showing the overlap of OTX2 binding sites determined by ChlP-Seq in early NE and MRG cells. Figure 18D - Gene set enrichment analysis results for OTX2 binding sites in early NE and MRG cells. Figure 18E - Median expression patterns for ES cells, all NPCs and more mature cell populations shown as z-scores for putative downstream target genes of OTX2 binding sites.
FIGs. 19A-D show that binding of core and stage- specific NPC TFs is associated with epigenetic priming of pro-neural genes. Figure 19A - Characterization of TFs associated with motifs gaining H3K4mel or losing DNAme at the NE stage prior to their expression at a later or more differentiated cell state as determined by high TERA scores (bold), termed priming. In addition, significant (p<0.01, odds ratio>1.5) co- binding relationships with factors expressed at the NE are indicated by colored lines. For each TF (from outer to inner circles, see example below for NEUROD4) heatmaps indicating the relative expression level as z-score in all cell types as well as normalized TERA scores for H3K27ac, H3K4me3, H3K4mel and DNAme. Figure 19B - Heatmaps depicting the H3K27ac (upper) and the H3K4mel (second from top) enrichment level for predicted NEUROD binding sites at each NPC stage for 5 distinct dynamic patterns. Here, none of the NEUROD family proteins is expressed (<2.5 FPKM (fragments per kilobase of exon per million fragments mapped)). Figure 19C - Heatmap showing the z- scores of the median gene expression levels for predicted NEUROD downstream target genes for each of the 5 dynamic patterns in the more mature neuron and astrocyte-like populations. Figure 19D - Schematic illustration of the TERA and expression analyses.
FIGs. 20A-D depict isolation and characterization of ES cell derived neural progenitor cells. Figure 20A - A schematic illustration of the differentiation model including the specific days of sample collection. Human ES cells were differentiated into neuroepithelial (NE) cells using dual inhibition of TGF (transforming growth factor beta) and BMP (bone morphogenic protein) followed by the transition to neural base media. Subsequently, sonic hedgehog and FGF8 (fibroblast growth factor 8), are used to transition to the early radial glial stage (ERG). For the rest of the differentiation experiment the cells were constantly maintained in FGF2 (fibroblast growth factor 2) and EGF2 (epidermal growth factor 2) neural base media to reach the mid radial glia (MRG) stage after 35 days, the late radial glia (LRG) stage after 80 days and the long term neural progenitor (LNP) stage after about 200 days of in vitro culture. Cell type names indicated in red were profiled for gene expression, histone modifications as well as DNAme by WGBS, while names shown in grey for gene expression only and names in black for DNAme by RRBS only. Figure 20B - Hierarchical clustering for all RNA- Seq datasets collapsing replicates using the Jensen-Shannon divergence as metric. Figure 20C - Gene expression patterns (RNA sequencing (RNAseq)) shown as z-scores for all differentially expressed genes (q-value< 0.1) across ES cells and four HES5+ NE, HES5+ ERG, HES5+ MRG and HES5+ LRG expressed with at > 2 FPKM in at least one stage (n=20,306). Genes were grouped into 18 clusters (described in Example 11 herein below) based on minimal average silhouette width using PAM clustering and Jensen-Shannon divergence based metric. The cluster number is shown on the left from 1 to 18. Pie charts below indicate fraction of up (red) and down-regulated (green) genes during each transition. Figure 20D - Gene expression patterns shown as z-scores for all significantly differentially expressed genes (q-value< 0.1) across four more mature cell populations (corresponding to the sequentially generated cortical layers) obtained through differentiation of NE, ERG or MRG cells to neuronal like cells (NE/ERG/MRGdN) and astrocyte like cells (LRGdA) derived from the LRG stage. "NEdn" = terminally differentiated neurons from HES5+ NE cells; "ERGdn" = terminally differentiated neurons from HES5+ ERG cells; "MRGdn" = terminally differentiated neurons from HES5+ MRG cells; "LRGdn" = terminally differentiated neurons and glial cells from HES5+ LRG cells. Genes were grouped into 12 clusters (described in Example 12 herein below) based on minimal average silhouette width using PAM clustering and Jensen- Shannon divergence based metric. The cluster number is shown on the left from 1 to 12. Raw data for all RNAseq presented in Figures 20C and 20D is provided in Supplementary data 7, which is fully incorporated herein by reference in its entirety.
FIGs. 21A-E depict epigenetic dynamics and TF footprints. Figure 21A - Median TPR (True Positive Rate) (red), FPR (False Positive Rate) (blue) and PPV (Positive Predictive Values) (black) for n=46 TFs with matching motif for H3K27ac footprints (n=27,292) in K562 cells as a function of confidence in predicted binding (- loglO p-value). True positives were defined as predicted binding events overlapping with peaks determined by ChlP-Seq and false positives accordingly. The entire set of positives was defined as all TF ChlP-Seq peaks for a particular factor that overlapped with any H3K27ac footprint. Figure 21B - ROC curve of the median TPR/FPR values from Figure 21A. Figure 21C - Epigenetic dynamics across the APOE locus (chrl9:45,391kb - 45,414kb) for ES cells and three stages of the NPCs. H3K4me3 read counts 10 normalized to 1 million reads are shown on a scale of 0 to 2 (green). DNAme levels for single CpGs are indicated as blue dots on a scale of 0 to 100% of methylation (y-axis). H3K27ac read counts normalized to 1 million reads are shown on a scale of 0 to 1 (purple). For reference footprints (FP) and CpG islands (CGIs) are indicated as blue boxes (bottom). Shaded gray box indicates the position of the putative enhancer element overlapping with the Alzheimer related SNP rsl57580. Figure 21D - Top: Decomposition of H3K27ac dynamics into 7 distinct modules based on PLS regression. Colors indicate median epigenetic enrichment level of gene regulatory elements assigned to each module for each cellular state for H3K27ac. Bottom: Gene set enrichment analysis results for gene regulatory elements associated with each module. Figure 21E - Connectivity matrix showing the association strength of each of the factors listed in Figure 16B with each of the 7 modules identified by the partial least square (PLS) regression.
FIGs. 22A-G depict functional validation using a pooled shRNA screen. Figure
22A - Detailed outline of the pooled shRNA screen. Each stage (NE, ERG and MRG) was infected with an optimized virus titer aiming for an average of one shRNA integration per cell. Immediately after infection, cells were subjected to puromycin (puro) selection and bulk population material was collected 24 hours after infection and prior to efficient shRNA knockdown. Five days after infection and selection, cells were FACS sorted for HES5-GFP and both GFP+ and GFP- were collected for analysis. Subsequently, genomic DNA was extracted and all integrated shRNAs were amplified by PCR for each population separately. The resulting material was then used to construct libraries for next generation sequencing to count the number of shRNA integrations for each shRNA in each cell population. Figure 22B - Overlap of genes identified to facilitate HES5+ cell maintenance, progression or proliferation determined by genes with at least two shRNAs significantly (q<().()5) overrepresented in the HES5+ population with respect to the 24 hours or HES5- control. Figure 22C - Regulator predictions based on differential gene expression. Performance is measured as percentage of the top 20 differentially expressed factors for each stage linked to the TF included in the shRNA library. Figure 22D - Regulator predictions based on TERA ranking for H3K4me3, H3K4mel, H3K27ac or DNAme. Performance is measured as percentage of the top 20 predicted activating or repressive motifs for each stage mapping to a TF included in the shRNA library. Figure 22E - Detailed heatmap showing the top 20 predicted motifs and corresponding TFs differentially active between the ES cell and NE stage based on the combined TERA scores for H3K27ac, H3K4me3, H3K4mel and DNAme. In addition, knockdown results as depletion scores (green-red heatmap) obtained at each stage are shown on the right. Figure 22F - Heatmap showing the pairwise pearson-correlation coefficient (PCC) of the log2 read-count normalized shRNA libraries across all conditions and replicates. Figure 22G - Individual validation for shRNAs against OTX2 and PAX6 at the NE stage, which showed no effect in the pooled screening approach at any stage. Shown are qPCR levels for OTX2 or PAX6, HES5 and Puromycin relative to HPRT. Each gene was measured in an independent knockdown experiment for a pool of the 5 shRNAs against PAX6 (blue), OTX2 (green), lacZ (orange) as well as the uninfected control (red).
FIGs. 23A-D depict co-binding analysis. Figure 23A - Gene expression levels reported as z-scores for core network TFs and epigenetic modifiers with and without a known DNA binding motif. Figure 23 B - Illustration of predicted significant co-binding relationships (p<0.01, odds ratio>1.5) of core factors (rows) with more stage- specific or pro- neuronal/glial factors (columns). Color-coding indicates whether binding is stage- specific or occurs at multiple stages. Figure 23C - Overlap of predicted binding sites in dynamic putative enhancer regions based on H3K27ac for OTX2 in NE and ERG. Figure 23D - Gene set enrichment analysis results for predicted ΟΊΎ2 binding sites in dynamic putative enhancer regions at the NE and MRG stage.
FIGs. 24A-E depict epigenetic priming. Figure 24 A - TERA scores for H3K27ac, H3K4me3, H3K4mel and DNAme for TFs showing evidence of priming (top bold) and TFs predicted to significantly co-occur in these primed binding sites. Figure 24B - Gene expression levels shown as z-scores for primed and co-binding TFs from Figure 24A. Figure 24C - Detailed predicted co-binding relationship (p<().01, odds ratio>1.5) of primed TFs (columns) with significantly associated co-binding factors (rows). Figure 24D - Illustration of a potential priming event and the associated predicted target gene at the ATOH1 locus (chr4:94,740-94,800). For each stage, H3K27ac, H3K27me3 and DNAme patterns are shown along with predicted NEUROD binding sites (black boxes) in putative gene regulatory elements marked by a loss of DNAme (highlighted by the grey bars). Figure 24E - Gene set enrichment analysis results for predicted NEUROD binding sites split up by dynamic patterns defined in Figure 19B (top). Binding sites in patterns 3 and 4 showed no significant enrichment.
FIG. 25 is a schematic illustration depicting the transcriptional codes for the generation of human stem cells of the neocortex.
FIGs. 26A-D depict formulas used in the "GENERAL MATERIALS AND EXPERIMENTAL METHODS" section. Figure 26A - Formula 1; Figure 26B - Formula 2; Figure 26C - Formula 3; Figure 26D - Formula 4. DESCRIPTION OF SPECIFIC EMBODIMENTS OF THE INVENTION
The present invention, in some embodiments thereof, relates to populations of neural progenitor cells and methods of producing and using same.
Before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not necessarily limited in its application to the details set forth in the following description or exemplified by the Examples. The invention is capable of other embodiments or of being practiced or carried out in various ways.
Decoding heterogeneity of pluripotent stem cell (PSC)-derived neural progeny is fundamental for revealing the origin of diverse progenitors, for defining their lineages, and for identifying fate determinants driving transition through distinct potencies.
The present inventors establish a long-term neural differentiation system from PSCs using the HES5::eGFP reporter human embryonic stem cell (hESC) line. HES5 is a major and direct downstream target of Notch activation pathway ( ageyama, R. & Ohtsuka, T. The Notch-Hes pathway in mammalian neural development. Cell Res. 9, 179-188, 1999). This allows the prospective isolation and characterization of primary progenitors retaining low proneural transcriptional activity and broad developmental potential and thus serving as the primary progenitors - or NSCs - that generate neural cellular diversity. The stepwise isolation of Notch active NSCs during neural differentiation of PSCs enables a systematic investigation of human NSC ontogeny and proposes a controlled module-based platform for understanding the development of normal and pathogenic NSCs and their progeny.
The present inventors isolated consecutively appearing PSC-derived primary progenitors based on their Notch activation state. As shown in Examples 1 and 2 of the Examples section which follows, the present inventors isolated early neuroepithelial cells and show their broad Notch-dependent developmental and proliferative potential. Neuroepithelial cells further yield successive Notch-dependent functional primary progenitors, from early and mid neurogenic radial glia and their derived basal progenitors, to gliogenic radial glia and adult- like neural progenitors, together recapitulating hallmarks of neural stem cell (NSC) ontogeny. Gene expression profiling reveals dynamic stage specific transcriptional patterns that may link development of distinct progenitor identities through Notch activation. The present observations provide a platform for characterization and manipulation of distinct progenitor cell types amenable for developing streamlined neural lineage specification paradigms for modeling development in health and disease.
Human pluripotent stem cell derived models that accurately recapitulate neural development in vitro and allow for the generation of specific neuronal subtypes are of major interest to the stem cell and biomedical community. Notch signaling, particularly through the Notch effector HES5, is a major pathway critical for the onset and maintenance of neural progenitor cells (NPCs) in the embryonic and adult nervous system (Imayoshi, I. et al., 2010; Shimojo, H., et al., 2011 ; Carlen, M. et al. 2009). This can be exploited to isolate distinct populations of human embryonic stem (ES) cell derived NPCs (Edri, R. et al. 2015). Here, the present inventors report the transcriptional and epigenomic analysis of six consecutive stages derived from a HES5- GFP reporter ES cell line (Placantonakis, D. G. et al. 2009) differentiated along the neural trajectory aimed at modeling key cell fate decisions including specification, expansion and patterning during the ontogeny of cortical neural stem and progenitor cells. In order to dissect the regulatory mechanisms that orchestrate the stage- specific differentiation process, the present inventors developed a computational framework to infer key regulators of each cell state transition based on the progressive remodeling of the epigenetic landscape and then validated these through a pooled shRNA screen. The present inventors were also able to refine the previous observations on epigenetic priming at transcription factor binding sites and show here that they are mediated by combinations of core and stage- specific factors. Taken together, the present inventors demonstrate the utility of the system and outline a general framework, not limited to the context of the neural lineage, to dissect regulatory circuits of differentiation.
According to an aspect of some embodiments of the invention, there is provided an isolated population of cells comprising at least 5% HES5+ cells, e.g., at least 6% HES5+ cells, e.g., at least 7% HES5+ cells, e.g., at least 8% HES5+ cells, e.g., at least 9% HES5+ cells, e.g., at least 10% HES5+ cells, wherein the HES5+ cells are:
(i) early radial glial (E-RG) cells;
(ii) mid radial glial (M-RG) cells;
(iii) late radial glial (L-RG) cells; or
(iv) long term neural progenitor (LNP) cells. According to some embodiments of the invention, the isolated population of cells further comprising HES5+ neuroepithelial (NE) cells.
As used herein the term "HES5" refers to the hes family basic helix-loop-helix (bHLH) transcription factor 5. The HES5 gene encodes a protein, which is activated downstream of the Notch pathway and regulates cell differentiation in multiple tissues. Disruptions in the normal expression of this gene have been associated with developmental diseases and cancer. The coding sequence for human HES 5 can be found in GenBank Accession No. NM_001010926.3 (SEQ ID NO:41 for the nucleic acid sequence encoding HES5), and the HES5 encoded protein can be found in GenBank Accession No. NP_001010926.1 (SEQ ID NO:42 for the amino acid sequence encoding HES5).
As used herein the term "isolated" refers to at least partially separated from the natural environment e.g., the human body.
According to some embodiments of the invention the isolated population of cells is positive for one or more markers. Positive is also abbreviated by (+) or simply "+". Positive for a marker means that at least about 10 %, 20 %, 30, 40 %, 50 %, 60 %, or even at least about 70 %, 80 %, 85 %, 90 %, 95 %, or 100 % of the cells in the population present detectable levels of the marker assayed by a method known to those of skill in the art. It should be noted that cells which are positive to one or more markers can be negative for expression of other marker(s).
According to some embodiments of the invention the isolated population of cells is negative for one or more markers. Negative is also abbreviated by (-) or simply Negative for a marker means that no more than about 5 %, 10 %, 20 %, 25 %, or 30 % of the cells in the population present detectable levels of the marker.
According to some embodiments of the invention, the marker is an expressed product, e.g., RNA or a polypeptide encoded by an endogenous gene. Alternatively or additionally, the marker is exogenous (heterologous) to the cell such as in the case of a reporter molecule which expression in a cell is under the control of a promoter sequence of a gene-of-interest (also referred to as a promoter-driven reporter).
It should be noted that each of the genes encompassed by some embodiments of the invention is designated using the accepted nomenclature of the gene symbol and/or by the gene identification (ID) number as available via the National Center for Biotechnology Information (NCBI). Sequence information of the genes used according to some embodiments of the invention, which includes representative, non-limiting sequences of the polynucleotides transcribed from - and polypeptides encoded by- the genes is provided in the below Tables and in the accompanying sequence listing.
The presentation of the marker on the cell can be detected by directly monitoring expression of the marker (i.e., the RNA and/or protein encoded by the gene) using RNA or protein detection methods, or it can be monitored by means of detecting the reporter molecule (RNA or protein) driven by the promoter of the gene.
For example, "Notch+" means presence of detectable levels within (or on) the cell of the mRNA encoded by Notch signaling pathway genes and/or of detectable levels of the protein encoded by Notch signaling pathway genes, and/or of a reporter molecule which expression is under the control of Notch signaling pathway regulatory sequence (e.g., promoters, enhancers, and other regulatory sequences being upstream and/or downstream of the Notch signaling pathways coding sequence).
Non-limiting examples of Notch signaling pathway genes include genes which are downstream of Notch activation such as the HES family of genes (e.g., HES1, HES2, HES 3, HES4, HES 5, HES6, HES7) and RBDJ.
For example, "HES5+" means presence of detectable levels of the mRNA encoded by HES5 and/or of detectable levels of the protein encoded by HES5, and/or of a reporter molecule which expression is under the control of HES5 promoter within the cell.
Methods of detecting the expression level of RNA include, but are not limited to Northern Blot analysis, RT-PCR analysis, quantitative RT-PCR or quantitative PCR, RNA in situ hybridization stain, In situ RT-PCR stain, DNA microarrays/DNA chips, and Oligonucleotide microarray (all of which are further described hereinunder).
Methods of detecting expression and/or activity of proteins include but are not limited to Enzyme linked immunosorbent assay (ELISA), Western blot, Radioimmunoassay (RIA), Fluorescence activated cell sorting (FACS), Immunohistochemical analysis, and In situ activity assay, In vitro activity assays (all of which are further described hereinunder).
As used herein the phrase "at least one gene (or marker)" encompasses any combination of genes or markers higher than one, e.g., at least 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, e.g., at least 35, 40, 45, 50, 55, 60, 65, 70, 75, 80 and more genes or markers. Accordingly, a collection of markers (i.e., more than one) in a single cell is also referred to as a signature.
As used herein the phrase "HES5+ neuroepithelial (NE) cells" refers to a population of cells which express HES5 which present an HE phenotype characterized by an epithelial morphology and character (e.g., tight junctions), symmetrically dividing, and characterized by the SOXl+/PAX6+/SOX2+/Nestin+ expression signature, and which has the potential of differentiating ex-vivo into HES5+ early radial glial (E-RG) cells and into HESS- central nervous system neurons.
It should be noted that the HES5- central nervous system neurons which are formed (differentiated) from the HES5+ neuroepithelial cells comprise the earliest neurons capable of forming layers 1 and 6 of the cortex.
According to some embodiments of the invention the HES5+ NE cells exhibit an HES 5+/S OX 1 +/P AX6+/S OX2+/Nestin+ expression signature.
According to some embodiments of the invention the HES 5+ NE cells further exhibit a CDC6+/CDX 1 +/CENPH+/TOP2 A+ expression signature.
According to some embodiments of the invention the HES5+ NE cells are characterized by a higher expression level of at least one gene selected from the group consisting of: TOP2A, HIST1H4C, TRIM71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1, FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LIMS1, CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1, CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM126A, MAGT1, CDC6, C60RF211, RFC5, PSMD1, HMMR, UNG, UBE2C, GINS1, AURKB, LEPRELl , SBNOl, ZWINT, MKI67, CCARl, FKBP5, PVRL3, CCNB1, NOP58, COL4A1, GGH, LSM6, EID1, GPX8, STC2, CD276, HS2ST1, EIF5B, HDGF, and NOL7 as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing undifferentiated pluripotent stem cells (PSCs) under culture conditions suitable for differentiation the PSCs into HES5+ neuroepithelial cells. According to some embodiments of the invention, the culture conditions suitable for differentiation the PSCs into HES5+ neuroepithelial cells comprise a culture medium which comprises Noggin, SB-431542 and LDN-193189.
According to some embodiments of the invention, the HES5+ NE cells are characterized by presence of at least one active transcription factor selected from the group consisting of: RFX4, NR2F2, REST, CDC6, CDX1, CENPH, and TOP2A.
According to some embodiments of the invention, the isolated population of cells comprises at least 50%, e.g., at least 60%, e.g., at least 70%, e.g., at least 75%, e.g., at least 80%, 81%, 82%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, e.g., 90% of HES5+ cells neuroepithelial cells (NE).
According to some embodiments of the invention the HES5+ NE cells are capable of differentiating into E-RG, M-RG, L-RG and LNP cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1 , MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSXl , RFXl, NR4A2, MEIS2, SOX15, STAT5B, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSXl, CDC5L, RFXl, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRXl, STAT1, POU3F1, FOXB1, CTNNB1, PBX1, ZNF143, NFATC1, TCF7L1, ARX, RXRA, TFAP4, CUX1, OTX2, NR2E1, CUX1, ZNF232, NR2F1, SOX4, MEIS1, PBX1, CUX1, NEUROD1, MSXl, ZNF652, MEF2A, OLIG1, POU6F2, IKZF2, MECOM, STAT1, ESRRA, IRF7, STAT1, MYBL2, BCL6, ELK1, ATF2, SMAD3, ATF4, DLXl, MEF2A, DBP, MAF, MEF2A, TEAD2, SMAD3, POU6F1 , BARHL2, FOXG1, LHX9, MECOM, ARNTL, MYC, ZNF75A, NFIA, VAX1, GBX2, HOMEZ, FOX04, FOX04, FOXB1, ZSCAN16, EL 1, ATF2, CREBl, USF1, ESRRA, ZNF282, NEUROG2, NFYA, NR4A1, CTF1, ELK1, POU3F2, ELK1, HSF1, E2F3, CUX1, CREBl, ELF2, MYBL2, HMGA2, SRF, ZNF410, JDP2, NR2F1, PAX3, NRF1, SMAD4, ZNF85, ZNF628, NFATC1, CREBl, E4F1, NR2F6, NHLH1, IRF2, PBX1, FOXJ3, RORA, IRF7, NR6A1, LHX2, PAX3, NR2E1, POU3F1, ZFP42, E2F4, ETV5, ELF3, USF1, ATF6, TFAP2B, CUX1, IRF3, RXRA, PEBP1, LHX2, GZF1, MEF2A, MEF2A, IRF9, MGA, VBP1, GMEB2, YY1, ELF1, POU3F3, GTF2IRD1, IRF3, SRF, XBP1, ESRRA, HEY1, NFKB2, IRF2, EOMES, FOXB1, NR2F1, NR4A2, STATS, SP1, RARA, CREB1, NR2F1, FOXJ3, HSF1, MYBL2, SRF, ETV2, MECP2, E2F1, FOXJ2, JUN, SCRT2, DLX1, E2F1, E2F1 and ATF2 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1, MEISL TCF4, MEIS2, OTX2, TEF, ZBTB16, SOX9, MSX1, RFX1, SOX8, NR4A2, MEIS2, SOX15, STAT5B, SOX8, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRXl , STAT1, POU3F1, FOXBl, CTNNB1, PBX1, ZNF143, NFATC1, TCF7L1, ARX, RXRA, TFAP4, CUX1, OTX2, NR2E1, CUX1, ZNF232, NR2F1, SOX4, MEIS1, PBX1 , CUX1, NEURODl, MSX1, ZNF652, MEF2A, OLIGl, POU6F2, IKZF2, MECOM, STAT1, ESRRA, IRF7, STAT1, MYBL2, BCL6, ELK1, ATF2, SMAD3, ATF4, DLXl , MEF2A, DBP, MAF, MEF2A, TEAD2, SMAD3, POU6F1, BARHL2, FOXG1, LHX9, MECOM, ARNTL, MYC, ZNF75A, NFIA, VAXl , GBX2, HOMEZ, FOX04, FOX04, FOXBl, ZSCAN16, ELKl, ATF2, SOX9, CREB1, USF1, ESRRA, ZNF282, NEUROG2, NFYA, NR4A1, CTF1, ELKl, POU3F2, ELKl, HSF1, E2F3 and CUX1, as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21 , TEAD1, NFATCl, SOX5, TGIF1, MEISl, TCF4, MEIS2, OTX2, TEF, ZBTB16, SOX9, MSX1, RFX1, SOX8, NR4A2, MEIS2, SOX15, STAT5B, SOX8, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRXl, STAT1, POU3F1, FOXBl, CTNNB1, PBX1, ZNF143, NFATCl, TCF7L1, ARX, RXRA, TFAP4, CUX1, OTX2, NR2E1, CUX1, ZNF232, NR2F1, SOX4, MEISl, PBX1, CUX1, NEURODl, MSX1, ZNF652, MEF2A, OLIG1, POU6F2, IKZF2, MECOM and STAT1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSX1, RFX1, NR4A2, MEIS2, SOX15, STAT5B, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRX1, STAT1, POU3F1, FOXB1, CTNNB1 and PBX1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEFl, POU3F2, SOX8, SOX21, TEADl , NFATCl, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, and MSX1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEFl, POU3F2 and SOX8 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
According to some embodiments of the invention the HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4 and PAX6 as compared to the transcriptional epigenetic activity of the at least one transcription factor in human ESC cells.
As used herein the phrase "HES5+ early radial glial (E-RG) cells" refers to an isolated population of cells which express HES5, having an elongated morphology, express PAX6 and form neural rosettes (highly polarized structures containing radially organized columnar cells) and have the potential of differentiating ex-vivo into HES5+ M-RG cells and into HES5- neural progenitor cells.
It should be noted that the HES5+ ERG cells loose some of the morphology of epithelial cells that was present in the HES5+ NE cells (e.g., HES5+ ERG cells loose the tight junctions morphology as compared to HES5+ NE cells) and gain some astro glial characters, such as expression of S100B, EGFR, GLAST and FABP7 and also to some extent expression of GFAP (shown by RNAseq data in Supplementary data 7, which is fully incorporated herein by reference in its entirety).
It should be noted that the HESS- neural progenitor cells belong to the CNS. These cells are non-stem cells but rather are limited progenitor cells, which upon the immediate differentiation form the earliest neurons which form layer 1 of the cortex, and eventually the HES5- neural progenitor cells can also differentiate to the neurons forming layers 5 and 6 of the cortex.
According to some embodiments of the invention, the HES5+ early radial glial cells exhibit an PAX6+/SOXl+/SOX2+/Nestin+ expression signature.
According to some embodiments of the invention, the HES5+ early radial glial cells further exhibit an ARX+/FEZF2+/NR2E1+ expression signature.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: NR2E1, HES5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, FAM107A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1, LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZ1, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7, SMOC1, TBC1D9, FAT4, SCUBE3, FUT8, CSPG5, DLL1, BOC, ID4, EGR1, ALPL, RFX4, GALNT12, CBX2, FHOD3, SORBS2, GUCY1B3, MBIP, FBX016, SHISA2, DAB1, GLI3, FZD3, SEMA5B, LGALS3BP, SFRP1, C1QL1, RING1, GPRC5B, ZNF710, WSCD1, VPS37B, ZIC2, SDK2, DOCK11, GAS1, ZNF436, TMSB15A, IER2, FEZ1, CELF2, SFT2D3, NCALD, AKAP7, MY ADM, NEDD4L, PHC2, PI4KAP2, STARD3, and CAMK1D as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ neuroepithelial cells under culture conditions suitable for differentiation the HES5+ neuroepithelial cells into HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5+ E-RG cells are characterized by presence of at least one active transcription factor selected from the group consisting of: ARX, NR2E1, FEZF2 and EMX2.
According to some embodiments of the invention, the HES5+ cells are early radial glial cells (E-RG) which constitute at least about 60%, e.g., at least about 65%, e.g., at least about 70%, 71%, 72%, 73%, 74%, 75%, 76%, 77%, 78%, 79%, 80%, 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, e.g., at least 90% or more of the isolated population of cells.
According to some embodiments of the invention, the HES5+ cells early radial glial cells (E-RG) are capable of differentiating into M-RG, L-RG and LNP cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZICl, YYl, ETS2, NR2C2, SREBF2, SREBFl , MEIS2, NR4A1 , REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEISl , ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NR2F1, MZF1, ESRRA, TFCP2, NR2F1, ESRRA, TERF1, KLF3, XBP1, RORA, PBX1, MYC, SNAI2, TEAD2, CENPB, PEBP1, HINFP, SREBFl, YYl, E2F1, HSF2, CNOT3, MEIS2, MEF2A, RXRA, CREB3L1, MYBL2, ZNF524, TFAP4, RFX1, NFYA, ZBTB33, RREB1, NR6A1, HES5, TFAP2B, HIF1A, INSM1, ZNF524, ELF1 , SMAD4, STAT3, TFAP2B, USF1 , GLI3, GLI2, ETV2, E2F1, CREB3, NFKB1, MYC, SRF, TFCP2, ATF3, ELK1, TP53, E2F4, ELF2, DEAF1, RXRA, ZNF423, FOXG1, ZNF628, NEURODl , ARNTL, ST ATI , PAX3, NR6A1, ESRRA, TCF4, YYl, PBX1, VAX1, NRF1, ETV1, FOXB1, ZNF85, CREB1, PRDM4, MYBL2, NHLH1, CREB1, KLF13, TRIM26, ZNF148, E4F1, USF1, JDP2, OLIG1, GZF1, ATF2, CREB1, FOX04, SMAD3, CLOCK, ZNF282, ZSCAN16, CUX1, NFKB1, RFXl, ETV5, MEF2A, GTF2IRD1, TFAP2B, NHLH1, ELF1, PAX3, MNT, ZNF740, CREB1, ESRRA, EOMES, EGR2, NR4A2, BCL6, ZNF143, MAFF, CUX1, NR2F1, TFAP2B, NEUROG2, TCF3, ATF3, PLAG1, ESRRA, E2F1, KLF13, MSX1, SCRT2, GABPB1, SOX9, NFKB2, EOMES, SIX3, MECOM, BCL6, POU3F3, HINFP, NFATC1, TBR1, MYBL2, USF1, SP1, ATF2, LHX2, MYBL2, POU3F3, HEY1, MEF2A, MGA, SOX9, E2F7, IRF3, SRF, POU3F2, SREBF2, NFKB1, MAF, ZNF784, NR1H2, MSX1, RORA, LM02, HINFP, ZNF23, FOX04, NR4A2, POU6F2, ID4, RARA, KLF13, LEF1, PATZ1, ELK1, DLX1, E2F4, E2F4, ELK1, MAZ, ATF6, TFAP4, RARA, PAX6, EGR2, HOMEZ, ELKl , E2F1, GMEB2, ATF4, ATF2, MAX, MGA, NFKB2, ESRRA, E2F4, STAT3, TCF3, NR2E1, ELF3, SOX4, USF1 and ZNF652 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1 , SMAD4, CTF1 , SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBF1, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIFl , SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NFIA, NR2F1 , MZF1, ESRRA, TFCP2, NR2F1 , TERFl , LF3, XBP1, RORA, PBX1, MYC, SNAI2, TEAD2, CENPB, PEBP1, HINFP, SREBF1, YYl, E2F1 , HSF2, CNOT3, MEIS2, MEF2A, RXRA, CREB3L1 , MYBL2, ZNF524, TFAP4, RFX1, NFYA, ZBTB33, RREB1, NR6A1, HES5, TFAP2B, HIF1A, INSM1, ZNF524, ELF1, SMAD4, STAT3, TFAP2B, USF1, GLI3, GLI2, ETV2, E2F1, CREB3, MYC, SRF, TFCP2, ATF3, ELKl, TP53, E2F4, ELF2, DEAF1, RXRA, ZNF423, FOXG1, ZNF628, NEUROD1, ARNTL, STAT1, PAX3, NR6A1 and ESRRA as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YYl, ETS2, NR2C2, SREBF2, SREBFl, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NR2F6, GLIS3, MAZ, STAT1, TGIFl, SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NFIA, NR2F1, MZFl, ESRRA, TFCP2, NR2F1, TERF1, KLF3, XBP1, RORA, PBX1, MYC, SNAI2, TEAD2, CENPB, PEBP1, HINFP, SREBF1, YY1, E2F1, HSF2, CNOT3, MEIS2, MEF2A, RXRA, CREB3L1, MYBL2, ZNF524, TFAP4, RFX1, NFYA, ZBTB33, RREB1, NR6A1, HES5, TFAP2B, HIF1A, INSM1, ZNF524, ELF1, SMAD4, STAT3, TFAP2B, USF1, GLI3, GLI2, ETV2, E2F1, CREB3 and NFKBl as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBFl, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKBl, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEIS1, ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B and NFIA as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YY1, ETS2, NR2C2, SREBF2, SREBFl, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKBl, NR2F6, GLIS3, MAZ and STAT1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZFl, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC and ZNF263 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ neuroepithelial cells.
As used herein the phrase "HES5+ mid radial glial (M-RG) cells" refers to an isolated population of cells expressing HES5, which form neural rosettes and being capable of differentiating into the HES5+ late radial glial (L-RG) cells and into HES5- intermediate progenitor cells (INPs).
It should be noted that the HES5+ M-RG cells are comprised in the ventricular zone (VZ) of the brain, and include HES5+ basal radial progenitors.
It should be noted that the HES5- intermediate progenitor cells (INPs) belong to the CNS and are capable of differentiating into the neurons forming mainly layers 4 and 3 of the brain cortex, and also a small fraction forming layer 2 of the brain cortex. The INPs constitute about 80% of the SVZ (80%), exhibit TBR2+ expression pattern, wherein each INP can divide on average 3 times to create neurons of layers 4 and 3 of the brain cortex, and a small fraction forming layer 2.
According to some embodiments of the invention, the HES5+ mid radial glial cells exhibit an HES5+/PAX6+/Nestin+ expression signature.
According to some embodiments of the invention, the HES5+ mid radial glial cells exhibit an HES5+/POU3F2+ expression signature.
According to some embodiments of the invention, the HES5+ mid radial glial cells further exhibit an GLAST+/FABP7+ expression signature.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RAB10, WASFl, ZBED4, EZH2, PPA2, H1F0, CCNJ, ITGB8, SH3BGRL3, IRX2, KIF23, PEG10, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAP1, LIMCH1, ETNK1, RNF13, ARID1B, TRIM28, CNOT8, CRNDE, TWSG1, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRKl , TRIM41, SATB1 , HOMER 1, CCNG1, ATF2, AP1AR, GABPA, STXBP3, SMC5, CDKN1B, NUPL1, UBA1, CYTH2, FXYD6, ISYNA1, DOCK1, 41527, LPHN2, IDI1, PXMP2, U2AF2, ARHGAP12, KLHL24, CKAP2, ZNF238, PARP6, NHSL1, PBRM1, BAZ1A, MAP4K5, TSPAN12, SH3GLB1, ASPM, ANKLE2, SPG20, MAP4K4, CASC4, FUBP3, ARSB, BTAF1, SIKE1, VEZT, PBX3, CBL, EIF2AK4, API5, MTSS1, NET1, CHD6, ZNF117, PNMA1, PTPN13, MTIF2, SSFA2, KIAA1279, STRN3, WIPF1, MEIS2, ZC3H4, DYNC1I2, RTN4, TAF2, RASA1, OSBPL8, SKA2, IGF1R, RNF6, SGTB, TMEM131, HIATL1, TGIF1, TMEM170B, PSAT1, ACBD5, HECTD2, ASF1A, LAMBl, GLS, DDX39, DGCR2, EIF1AX, SALL1, GOLPH3, PTBP2, GRIPL PNPLA8, VASH2, SUDS3, PFDN4, BAZ2A, PRKDC, GLYR1, DAZAP2, PCMTD1, SENP6, CLINT1, RECQL, CNTNAP2, CTBP1, C10ORF18, CDON, B4GALT6, CSNK1G3, STAT5B, TMEM60, HNRNPH2, TACC2, CCNG2, FSCN1, CCNA2, C210RF45, PLRG1, ZFHX3, UBE2A, DMTF1, TRA2A, MY05A, FAM96A, IFT80, VPS26A, MRPL50, ACYP1, WDR11, PLDN, RPRDIA, MEAF6, CKAP5, YTHDC2, GABARAPL2, IP05, PGAP1, C140RF147, CD200, MST4, PPT1, ANKRD50, HPS 3, CCNC, THRAP3, TWF1, CYP51A1, PSPC1, WDR75, CAST, SEPWl , C210RF59, PEK3C2A, GNG5, MED4, GIPCl, STK39, KIAA1715, PHF6, PPTC7, SOCS4, PPM1B, UQCRB, C10ORF84, SLAINL RAB6A, SOS2, KLF10, RNF4, C30RF63, INSIG1, CPSF1, DNAJC4, ATP2B4, PPP2R1A, TRIM22, SDC3, TSNAX, PPIL4, ZDHHC2, ZBTB44, AN06, PPP2CB, UBA2, BBS2, ZNF423, RNF5, C10RF31, IFT81, CPSF6, KLHL9, FAM164A, TTC35, CCDC90B, TM9SF4, SEC24B, SMARCC2, CAP2, SARI A, THY1, RBPMS2, EIF3A, DZIP1, ARL6IP1, SACM1L, PAPD4, SCG2, TCF3, EFHA1, HNRNPA2B1, EWSR1, STAG2, YEATS4, PAQR3, GARl, FTHl, C190RF43, TMEM14C, CCDC104, PSMD12, DCTD, SSR1, HMGCS1, HMGB3, KIF3A, TMEM128, PATZl , RBL2, ARFGAP3, DNAJB5, TMED7, G3BP2, BMPRIA, FMR1, TPST2, TMSB4X, RP2, CEP170, KLHL23, RNF7, HNRNPH1, MARCKS, HNRNPD, TOBl , UTPllL, RFK, DHX36, LCOR, WBP5, PHLDB2, USP33, EFNB2, C60RF62, MEX3B, ABCD3, ATG3, ARID4B, C70RF11, EPB41, TCF12, CDK8, CMIP, ATG12, CETN3, ZNF217, TMEM55A and UBE2N as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ early radial glial cells under culture conditions suitable for differentiation the HES5+ early radial glial cells into HES5+ mid radial glial cells.
According to some embodiments of the invention, the HES5+ M-RG cells are characterized by presence of at least one active transcription factor selected from the group consisting of: NFIA, NFIB, REST, CDKN1B, SALL1, and POU3F2.
According to some embodiments of the invention, the HES5+ cells are mid radial glial cells (M-RG) which constitute at least about 20%, e.g., at least about 25%, e.g., at least about 26%, 27%), 28%, 29%, 30%, 31%, 32%, 33%, 34%, 35%, 36%, 37%, 38%, 39%, e.g., 40% of the isolated population of cells. According to some embodiments of the invention, the HES5+ mid radial glial (M-RG) cells are capable of differentiating into L-RG and LNP cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1 , TGIFl , ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFX1, TCF4, MZF1, STAT1, MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEF1, NFYC, MAFF, ZNF263, YYl , POU3F3, TGIFl, STAT3, SMAD4, NR6A1, TGIFl, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4, XBP1, USF1, POU3F2, CREB3, EP300, PBX1, STAT3, TFCP2, POU2F2, IRF3, FOXB1, MSX1, POU3F3, ELK1, DBP, CUX1, MEF2A, POU6F2, ARNTL, ZSCAN16, MEF2A, ETV4, OLIG1, HOMEZ, DLX1, PRRX1, MSX1, MYC, FOX04, MEF2A, MZF1, ATF2, GMEB2, NFYA, ESRRA, SOX9, PBX1, POU3F2, MECOM, SMAD3, MAZ, ELK1, BCL6, ELF3, PAX3, ELF1, SFl , BCL6, EMX2, STAT1, E2F1, ELF2, CLOCK, ELK1, STAT3, ATF5, THRA, SOX9, SRF, TCF4, ATF3, CTNNB1, USFl , FOXJ3, USF1, ZNF282, NEUROG2, ESRRA, REST, E2F3, ZBTB7A, MYBL2, HSF2, MAX, ZNF143, MYBL2, SRF, FOX04, NR4A2, CUX1, E2F4, MSXl , EOMES, MAF, MNT, POU6F1, NFATCl , STAT3, CREB3, SOX9, ZNF85, CREB3L1, TCF3, ELK1, IRF2, YYl, SOX15, PAX6, E4F1, MEF2A, ATF2, NFE2L1, NFATCl, ATF2, YYl, SRF, ARX, ETV2, HINFP, MAZ, NR4A1, INSM1, ZNF652, USFl, NFKB1, GBX2, POU3F4, IRF9, POU6F1, LHX2, NR4A2, POU6F2, FOXJ2, CEBPG, VBP1, TERF1, ESRRA, PAX6, ZIC3, IRF2, MAF, SOX21, CREBl , CREB3, IRF7, POU3F3, NFKB2, ATF4, MYBL2, SREBF2, SOX9, YYl, RBPJ, FOXJ3, HSF1, HMGA2, CUX1, POU3F2, EOMES, ZNF423, ESRRA and KLF13 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATCl, CTF1, NEUROD1, RFX1, TGIFl, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFX1, TCF4, MZF1, STAT1, MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEF1, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1, STATS, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4, XBP1, USF1, POU3F2, CREB3, EP300, PBX1, STAT3, TFCP2, POU2F2, IRF3, FOXB1, MSX1, POU3F3, ELK1, DBP, CUX1, MEF2A, POU6F2, ARNTL, ZSCAN16, MEF2A, ETV4, OLIG1 , HOMEZ, DLXl , PRRXl, MSX1, MYC, FOX04, MEF2A, MZF1, ATF2, GMEB2, NFYA, ESRRA, SOX9, PBX1 , POU3F2, MECOM, SMAD3, MAZ, ELKl, BCL6, ELF3, PAX3, ELFl, SF1, BCL6, EMX2, STAT1, E2F1, ELF2, CLOCK, ELKl, STAT3, ATF5, THRA, SOX9, SRF, TCF4, ATF3, CTNNB1, USF1, FOXJ3, USF1, ZNF282, NEUROG2, ESRRA, REST, E2F3, ZBTB7A, MYBL2, HSF2, MAX, ZNF143, MYBL2, SRF, FOX04, NR4A2, CUX1, E2F4, MSX1 and EOMES as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl, TCF4, MZF1, STATl, MECP2, MEIS2, ZBTB33, NFYA, ELFl, MYBL2, LEF1, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1, STAT3, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STATl, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4, XBP1, USF1, POU3F2, CREB3, EP300, PBX1, STAT3, TFCP2, POU2F2, IRF3, FOXB1 , MSXl, POU3F3, ELKl, DBP and CUX1 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFXl, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl, TCF4, MZF1, STATl, MECP2, MEIS2, ZBTB33, NFYA, ELFl, MYBL2, LEF1, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1, STAT3, SMAD4, NR6A1, TGIF1, MEIS1 and ZNF628 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFXl , TCF4, MZF1, STAT1 , MECP2, MEIS2, ZBTB33, NFYA, ELFl, MYBL2, LEF1 and NFYC as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of:RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA and SOX9 as compared to the transcriptional epigenetic activity of the at least one transcription factor in HES5+ early radial glial cells.
As used herein the phrase "HES5+ late radial glial (L-RG) cells" refers to HES5+ cells characterized by downregulation of at least one rosette marker and upregulation of at least one glial marker as compared to HES5+ MRG cells, and being capable of differentiating into the HES5+ LNP cells and into HES5- neurons and astrocytes.
According to some embodiments of the invention, the at least one rosette marker comprises PLZF.
According to some embodiments of the invention, the at least one glial marker comprises epidermal growth factor receptor (EGFR) and/or S 100B.
It should be noted that the HESS- neurons which are differentiated from the HES5+ L-RG form mainly layer 2 of the brain cortex, but also layers 4 and 3 of the brain cortex.
According to some embodiments of the invention, the HES5+ late radial glial cells exhibit an HES5+/OLIG1+/PDGFRA+ expression signature.
According to some embodiments of the invention, the HES5+ late radial glial cells further exhibit an CUX1+/CUX2+/POU3F2+ expression signature. According to some embodiments of the invention, the HES5+ late radial glial cells further exhibit an S100B+/EGFR+ expression signature.
According to some embodiments of the invention, the HES5+ late radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1 , PDGFRA, COL22A1, KIAA1239, PCDHIO, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COLl lAl, TRIM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHD1, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51, CHST3, PAG1, MY05C, CACNB2, NDRG2, ST3GAL5, TPD52L1, TRIB1, PRKCA, BCKDHB, GLT25D2, LITAF, PLCBl, TIMP3, ZBTB46, OPCML, CTDSPL, MDGA2, MEGF10, EYA2, KANK1, RAB31, TRIL, FAM171B, ALCAM, RAB6B, PGM2L1 , LARGE, HPCALl, HTRA1 , TRPS1, TRIB3, IGF2BP2, PITPNC1, CMTM4, IAH1, DHTKD1, SNAP29, CTNNBIP1, NQ02, MAP4, CBR1, LTBPl, C50RF32, MARK1, AASS, CISDl , DSC2, SLC25A33, RIMS 3, ZIC3, EGF, SRGAP2, RANGAP1, SCRG1, PRCP, CA12, HEATR5A, ZNF503, GYG2, ANAPC1, C190RF63, ASAP1, C10RF96, DHX33, FASTKDl, STAU2, MAML2, RRAS2, GLTP, VPS13B, GPT2, ΝΚΑIΝ4 and ZC3HAV1 as compared to the expression level of the at least one gene in HESS- differentiated cells obtained by culturing HES5+ mid radial glial cells under culture conditions suitable for differentiation the HES5+ mid radial glial cells into HES5+ late radial glial cells.
According to some embodiments of the invention, the HES5+ L-RG cells are characterized by presence of the active transcription factor GFAP.
According to some embodiments of the invention, the HES5+ cells are late radial glial cells (L-RG) which constitute at least about 2%, e.g., at least 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, 16%, 17%, 18%, 19%, 20% of the isolated population of cells, e.g., about 10-15% of the isolated population of cells.
According to some embodiments of the invention, the HES5+ late radial glial (L-RG) cells are capable of differentiating into LNP cells.
As used herein the phrase "HES5+ LNP cells" refers to HES5+ adult neural stem cells (aNSCs) characterized by a higher expression level of EGFR and S100B as compared to HES5+ L-RG cells, and which are capable of differentiation into HES5- neurons, oligodendrocyte and astrocytes.
It should be noted that the HES5- neurons which are differentiated from the HES5+ adult neural stem cells (aNSCs) comprise limited types of neurons, mainly those reaching the olfactory bulb.
According to some embodiments of the invention, the long term neural progenitor cells exhibit an HES5+/ANXA2+/LGALS1+ expression signature.
According to some embodiments of the invention, the long term neural progenitor cells further exhibit EGFR+/ S100B+ expression signature.
According to some embodiments of the invention, the HES5+ long term neural progenitor cells are characterized by a higher expression level of at least one gene selected from the group consisting of: ANXA2P2, ANXA2, FRASl, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSFIOD, S100A6, RNF182, LGALS1, ISLl, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAGl , MMD, PTGR1, PDP1, COL18A1, ZIC4, BASP1 , AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21, and FAM38A as compared to the expression level of the at least one gene in HES5- differentiated cells obtained by culturing HES5+ late radial glial cells under culture conditions suitable for differentiation the HES5+ late radial glial cells into HES5+ long term neural progenitor cells.
According to some embodiments of the invention, the HES5+ LNP cells are characterized by presence of at least one active transcription factor selected from the group consisting of: ANXA2, LGALS1, S100B, and FABP7.
According to some embodiments of the invention, the HES5+ cells are long term neural progenitors (LNP) which constitute at least about 2%, 3%, 4%, 5%, 6%, 7%, 8%, 9%, 10%, 11%, 12%, 13%, 14%, 15%, e.g., about 7-10 % of the isolated population of cells.
According to some embodiments of the invention, the HES5+ cells (at all stage of NE, E-RG, M-RG, L-RG and LNP) are characterized by presence of at least one active transcription factor selected from the group consisting of: E2F4, PAX6, RFX5, CREB3, OTX2, NR2F2, THRA, PBX2, ATF5, and CREM. According to some embodiments of the invention, the HES5+ cells are genetically modified.
As used herein the phrase "genetically modified" refers to having been transformed with an exogenous polynucleotide or a nucleic acid construct.
According to some embodiments of the invention, the genetic modification of the cells comprise transforming the cells with a nucleic acid construct which comprises a Notch-driven reporter as is further described hereinunder.
According to an aspect of some embodiments of the invention, there is provided an isolated population of cells comprising at least 5% HESS- cells, e.g., at least 6% HES5- cells, e.g., at least 7% HES5- cells, e.g., at least 8% HES5- cells, e.g., at least 9% HES5- cells, e.g., at least 10% HES5- cells, wherein the HES5- cells are:
(i) non-CNS (CNS = central nervous system) cells comprising neural crest cells, placodal cells, non-neuroepithelial cells; and CNS cells which exhibit an NEUROD4+/NGN1+/NGN2+/TBR2+/DCX+ expression signature and which form neurons of layers I and 6;
(ii) neural progenitor cells which belong to the CNS, having a limited differentiation potential and are characterized by a lower proliferative capacity as compared to the HES5+ ERG cells. Upon the immediate differentiation of these cells, the cells form the earliest neurons which form layer 1 of the cortex, and eventually can also differentiate to neurons of layers 5 and 6 of the cortex. These neural progenitor cells also constitute up to 20% of the early emerging SVZ, which are also termed "intermediate progenitor cells (INPs)" or "basal progenitor cells".
(iii) intermediate progenitor cells (INPs) which belong to the CNS, and which are capable of differentiating into the neurons forming mainly layers 4 and 3 of the brain cortex, and also a small fraction forming layer 2 of the brain cortex. The INPs constitute about 80% of the SVZ (80%), exhibit TBR2+ expression pattern, wherein each ΓΝΡ can divide on average 3 times to create neurons of layers 4 and 3 of the brain cortex, and a small fraction forming layer 2.
(iv) HES5- neurons and some astrocytes, wherein the neurons form mainly layer 2 of the brain cortex, but also layers 4 and 3 of the brain cortex; or
(v) neurons, oligodendrocyte and astrocytes, wherein the neurons of this group comprise limited types of neurons, mainly those reaching the olfactory bulb. According to some embodiments of the invention, HES5- cells of (i) (which comprise non-CNS cells and CNS cells), are characterized by a higher expression level of at least one gene selected from the group consisting of: LHX1, CNTN2, ST18, EBF3, NFASC, FSTL5, ONECUT2, SLC17A6, EBF1, SLIT1, SYT4, NEFM, NEUROD1, PARM1, CHN2, DNER, HMP19, TFAP2B, DCX, KLHL35, PAPPA, OLFM1, NHLHl , RTNl, GAP43, GFRAl, CHL1, FNDC5, SCN3A, NPTX2, EOMES, CADPS, NHLH2, TMEM163, STMN3, LRRN3, NEFL, ROB02, INA, PHLDA1, GRIA1, GRIA2, DCLK1, CRABP1, OLIG2, SCG3, TMEM158, FBXL16, FA Ml 23 A, SYP, KIF21B, PCDH9, CDKN1C, IGFBPL1, RSP03, GABRB3, TAGLN3, KCNH2, EPB41L3, EYA2, TMOD2, NCAN, GABBR2, D4S234E, PI15, ANK2, SLC1A2, NRCAM, CBLB, CAMK2N1, ZIC3, PTPRN2, SORBS1, NXPH1, BAALC, CLASP2, DPP6, MAP6, FIGNL2, KIAA0802, KIF1A, TMEM170B, SLC22A23, TMEM178, CTNND2, CADM1, LGALS3, TCEAL7, CD9, GLB1L2, NFIA, YPEL3, TNFRSF19, SPINK5, PNMA2, IRX5, SIN3B, STK38, NR3C1, SOX8, SLC6A8, SYNPR, SGK223, BASP1 and APC as compared to the expression level of the at least one gene in HES5+ neuroepithelial cells.
According to some embodiments of the invention, the HES5- cell s of (ii) (which comprise neural progenitor cells which form layers 1 5 and 6 of the brain cortex) are characterized by a higher expression level of at least one gene selected from the group consisting of: GREM1, COL3A1, PCDH8, SEMA3C, BMP4, NID2, TNC, COL1A2, ANKRD1, ANXA1, TMEFF2, PDZRN3, ANXA3, KRT8, LEPRELl, NOX4, LAMB1, FLNC, FST, IMMP2L, S100A4, GDF15, PHACTR2, METTL7A, MAMDC2, DDIT4, BCHE, OCIAD2, TNFRSF10D, BBS9, ELOVL2, TUBA1C, CHST7, RBM47, TFPI, NEBL and LHFP as compared to the expression level of the at least one gene in HES5+ early radial glial cells.
According to some embodiments of the invention, the HES5- cells of (Hi) (which comprise intermediate progenitor cells (INPs) capable of differentiating into the neurons forming layers 4, and 2 of the brain cortex) are characterized by a higher expression level of the ACS SI gene as compared to the expression level of the gene in HES5+ mid radial glial cells.
According to some embodiments of the invention, the HES5- cells of (iii) are characterized by presence of the active transcription factor TBR2. According to some embodiments of the invention, the HES5- cells of (iv) (which comprise neurons and some astrocytes, wherein the neurons form layers 2, 4 and 3 of the brain cortex) are characterized by a higher expression level of at least one gene selected from the group consisting of: THBS1, KLHL4, A2M, EN2, SLC6A6, ACTA2, ST6GAL1, SLC7A8, GRM3, FAM65B, CALB1, MYLK, TNNT1, PTX3, MFAP2 and HMGA2 as compared to the expression level of the at least one gene in HES5+ late radial glial cells.
According to some embodiments of the invention, the HES5- cells of (iv) are characterized by presence of the active transcription factor(s) POU3F3 and/or POU3F2.
According to some embodiments of the invention, the HES5- cells of (v) (which comprise neurons, oligodendrocyte and astrocytes, wherein the neurons comprise neurons reaching the olfactory bulb) are characterized by a higher expression level of at least one gene selected from the group consisting of: FBN2, NELL2, KALI, PCDHB5, ST8SIA4, DCN, SLC6A1, CADM2, BCL11A, DDB2, ANXA11, PAK1, ID3, IGF2BP1, ANK3, ZEB2 and CREB5 as compared to the expression level of the at least one gene in HES5+ long term neural progenitor cells.
According to some embodiments of the invention, the cells are human cells. According to some embodiments of the invention, the cells are derived from a subject having a CNS disease or disorder.
According to some embodiments of the invention, the cells having been subjected to an ex-vivo differentiation protocol.
According to some embodiments of the invention, the isolated population of cells can be used in the treatment of a CNS disease or disorder.
According to an aspect of some embodiments of the invention, there is provided a method of isolating neural progenitor cells, the method comprising:
(a) culturing pluripotent stem cells having been transformed to express a Notch-activated reporter under culture conditions suitable for differentiation of the pluripotent stem cells into neural progenitor cells; and
(b) successively isolating progenitor cells of interest based on activation of the Notch-activated reporter.
As used herein the term "successively" means more than once in a time dependent sequential manner. According to some embodiments of the invention a successive isolation of the cells is an isolation of cell(s) derived from a previously isolated cell(s) based on activation state of the Notch reporter. For example, the first isolation is based on HES5 expression such that only HES5+ cells are isolated and further cultured. Then the cultured cells (which were previously isolated based on HES5+) are further isolated based on HES5+ expression (showing Notch activation).
As used herein the term "isolating" refers to the enrichment of a mixed population of cells (e.g., in a cell culture) with cells predominantly displaying at least one characteristic associated with a specific phenotype.
The specific phenotype can be for example, presence or absence of Notch activation. Methods of determining the status of Notch activation are known in the art. For example, the cells can be evaluated for expression of markers which are activated in the Notch pathway, such as presence or absence of expression of HES5, which is activated downstream of the Notch pathway and regulates cell differentiation in multiple tissues. The expression of the markers can be detected by monitoring presence of a reporter protein driven by the regulation of the Notch pathway related promoter, e.g., the HES5 promoter.
According to some embodiments of the invention, the method further comprising monitoring expression of the reporter, wherein cells exhibiting negative expression of the reporter are more mature, terminally differentiated cells.
The isolation of the specific cells can be performed using methods known in the art such as by fluorescence activated cell sorter (FACS), magnetically-labeled antibodies and magnetic separation columns (MACS, Miltenyi) as described by Kaufman, D.S. et al., (Hematopoietic colony-forming cells derived from human embryonic stem cells. Proc. Natl. Acad. Sci. USA. 2001, 98: 10716-10721).
To genetically modify a cell to express a reporter driven by a Notch signaling promoter, a nucleic acid construct, which comprises the regulatory sequences of a Notch signaling pathway gene (e.g., promoters, enhancers, and other regulatory sequences being upstream and/or downstream of the Notch signaling pathways coding sequence, e.g., the HES5 promoter) ligated to a coding sequence of a reporter molecule, is introduced into the cell (integration into the genome). Thus, signals affecting native Notch signaling pathway gene expression within the cell will result in expression of the reporter molecule, which will further be detected within the cell.
Examples of the regulatory sequences of a Notch signaling pathway gene include, the regulatory sequences of genes which are downstream of Notch activation such as the HES family of genes, such as of HES1, HES2, HES3, HES4, HES5, HES6, HES7 and other Notch signaling pathway genes such as RBDJ. Such regulatory sequences are known in the art and can be obtained from the database, e.g., via the NCBI web site.
Non-limiting examples of suitable reporters include, green fluorescent protein [e.g., the enhanced green fluorescent protein from Mycobacterium tuberculosis H37Rv, depicted by polynucleotide set forth by SEQ ID NO:43; and the polypeptide set forth by GenBank Accession No. YP_009062989.1, SEQ ID NO:44], blue fluorescent protein (BFP), red fluorescent protein (RFP) and yellow fluorescent protein (YFP). The reporter molecule can be ligated under the control of a suitable promoter, e.g., the promoter of the gene-of-interest.
A non-limiting example of such a HES5-driven reporter is bacterial artificial chromosome (BAG) RP24-341I10, in which the coding sequence for enhanced green fluorescent protein (EGFP), followed by a polyadenylation signal, was inserted into the mouse genomic bacterial artificial chromosome (BAC) RP24-341I10 at the ATG transcription initiation codon of the Hes5 gene so that expression of the reporter mRNA/protein is driven by the regulatory sequences of the HES5 gene, essentially as described in Placantonakis DG, et al., 2009, which is fully incorporated herein by reference in its entirety.
According to some embodiments of the invention, the successive isolation comprises at least two isolation steps following at least two culturing steps, wherein a first isolation of the at least two isolation steps is effected up to 12 days of a first culturing of the at least two culturing steps, and wherein a second isolation of the at least two isolation steps is effected up to 5 days of a second culturing of the at least two culturing steps.
According to some embodiments of the invention, the first isolation of the at least two isolation steps is effected up to 8, 9, 10, 11 or 12 days of a first culturing of the at least two culturing steps. According to some embodiments of the invention, the first isolation results in a population of cells comprising HES5+ neuroepithelial cells.
According to some embodiments of the invention, the first culturing is performed on an extracellular matrix or a feeder cell layer.
According to some embodiments of the invention, the first culturing is performed on an extracellular matrix.
Non-limiting examples of suitable extracellular matrixes include matrixes composed of laminin, fibronectin, collagen and the like.
MATRIGEL™ (BD Biosciences) is a solubilized basement membrane preparation extracted from the Engelbreth-Holm-Swarm (EHS) mouse sarcoma, a tumor rich in extracellular matrix proteins which include laminin (a major component), collagen IV, heparan sulfate proteoglycans, and entactin/nidogen.
According to some embodiments of the invention, the first culturing is performed on a feeder cell layer.
The feeder cell layers can be from various sources, such as fibroblasts or stroma cells, and can be from human (in order to avoid animal contamination) or from non- human source (e.g., mouse feeder cells layers).
A non-limiting example of suitable feeder cells is MS 5 stromal cells. MS 5 stromal cells is a murine stromal cell line established after irradiation of the adherent cells in long-term bone marrow culture; the cells produce extracellular matrix proteins such as fibronectin, laminin, and collagen type 1.
According to some embodiments of the invention, the first culturing is performed without passaging of the cells.
According to some embodiments of the invention, the first culturing is performed in the presence of a culture medium which comprises Noggin, SB-431542 and LDN- 193189.
Noggin (gene name NOG, Gene ID 9241, GenBank Accession No. NP_005441.1; SEQ ID NO:45) is a secreted polypeptide, which binds and inactivates members of the transforming growth factor-beta (TGF-beta) superfamily signaling proteins, such as bone morphogenetic protein-4 (BMP4). Noggin can be obtained R&D systems (e.g., Catalogue No. 6057-NG). According to some embodiments of the invention, the concentration of Noggin in the culture medium is between from 200-300 ng/ml, e.g., about 250 ng/ml (nanograms per milliliter).
SB-431542 is a potent and specific inhibitor of transforming growth factor-beta superfamily type I activin receptor-like kinase (ALK) receptors ALK4, ALK5, and ALK7, and can be obtained, for example, from TOCRIS (a biotechne brand, e.g., Cat. No. 1614).
According to some embodiments of the invention, the concentration of SB- 431542 in the culture medium is from 5-20 μΜ, e.g., about 10 μΜ (micromolar).
LDN-193189 is a cell permeable small molecule inhibitor of bone morphogenetic protein (BMP) type I receptors ALK2 and ALK3 (IC50 = 5 nM and 30 nM respectively), and can be obtained from STEMGENT (e.g., Catalogue Number 04- 0074).
According to some embodiments of the invention, the concentration of LDN- 193189 in the culture medium is from 50-200 nM, e.g., about 100 nM (nanomolar).
Following is non-limiting protocol suitable for producing HES5+ neuroepithelial cell:
Pluripotent stem cells such as human embryonic stem cells (ESCs) are cultured on an extracellular matrix [e.g., MATRIGEL™ (BD Biosciences)] or on a feeder cell layer [e.g., MS5 stromal cells] in the presence of a culture medium which induce the cells to differentiation into the neural lineage. The culture medium can comprise: Noggin (e.g., from 200-300 ng/ml, e.g., about 250 ng/ml) and SB-431542 (e.g., from 5- 20 μΜ, e.g., about 10 μΜ, Tocris), and LDN-193189 (e.g., from 50-200 nM, e.g., about 100 nM, Stemgent) for up to day 9-12. It should be noted that "day 0" (also referred to as "DO" herein) is the first day of culturing in which the pluripotent stem cells are transferred to the differentiation conditions towards the neural lineage.
According to some embodiments of the invention, the second isolation results in a population of cells comprising HES5+ early radial glial cells.
According to some embodiments of the invention, the second culturing is performed on an extracellular matrix. For example, as shown in the Examples section which follows, the second culturing (reaching to HES5+ ERG cells) was performed on moist MATRIGEL™ drops.
According to some embodiments of the invention, the second culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 8 (FGF8; GenBank Accession Nos: NP_149355.1, NP_149354.1, NP_149353.1, NP_006110.1, NP_001193318.1; SEQ ID NOs:46-50) and brain-derived neurotrophic factor (BDNF, GenBank Accession NOs. NP_001137277.1, NP_001137278.1, NP_001137279.1, NP_001137280.1, NP_001137281.1, NP_001137282.1, NP_001137283.1, NP_001137284.1, NP_001137285.1, NP_001137286.1, NP_001137288.1, NP_001700.2, NP_733927.1, NP_733928.1, NP_733929.1, NP_733930.1, NP_733931.1; SEQ ID NOs:51-67).
According to some embodiments of the invention, the medium used in the second culturing further comprises Sonic hedgehog protein.
Sonic hedgehog (gene symbol: SHH; Gene ID 6469; GenBank Accession Nos.
NP_000184.1 SEQ ID NO:68; and NP_001297391.1 SEQ ID NO:69) is instrumental in patterning the early embryo. It has been implicated as the key inductive signal in patterning of the ventral neural tube, the anterior-posterior limb axis, and the ventral somites.
According to some embodiments of the invention, the concentration of Sonic hedgehog in the culture medium is about 10-50 ng/ml, e.g., about 30 ng/ml.
A non-limiting example of such a culture medium includes the DMEM/F12 medium with the N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, which is further supplemented FGF8 (e.g., between 50-150 ng/ml, e.g., about 100 ng/ml) and BDNF (e.g., between 1-20 ng/ml, e.g., between 1-10 ng/ml, e.g., about 5 ng/ml).
Following is a non-limiting description of a protocol suitable for generating HES5+ E-RG cells. HES5+ neuroepithelial cells are isolated from about day 9-12 of the first culturing (preferably from day 12), and are replated at a high density (e.g., 500,000 cells/cm2) on moist Matrigel™ drops in a DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone), and further supplemented FGF8 (100 ng/ml) and BDNF (5 ng/ml) until rosettes appeared (E-RG stage), which is about 2 days of culturing.
According to some embodiments of the invention, the successive isolation comprises at least three isolation steps following at least three culturing steps, wherein a third isolation of the at least three isolation steps is effected up to 21 days of a third culturing of the at least three culturing steps.
According to some embodiments of the invention, the third isolation results in a population of cells comprising HES5+ mid radial glial cells.
According to some embodiments of the invention, the third culturing is performed on an extracellular matrix.
According to some embodiments of the invention, the extracellular matrix which is used for the third culturing comprises polyornithine, Laminin and Fibronectin.
It should be noted that the matrix can be prepared as a solution with the extracellular matrix proteins at specific concentrations, and the solution is then poured over a surface of a culture vessel in order to form a layer of such extracellular matrix on the vessel.
According to some embodiments of the invention, the concentration of polyornithine in the extracellular matrix is in the range of 5-30 μg/ml, e.g., about 15 μg/ml.
According to some embodiments of the invention, the concentration of Laminin in the extracellular matrix is in the range of 0.5-3 μg/ml, e.g., about 1 μg/ml.
According to some embodiments of the invention, the concentration of Fibronectin in the extracellular matrix is in the range of 0.5-3 μg/ml, e.g., about 1 According to some embodiments of the invention, the concentration of the polyornithine in the matrix is about 15 μg/ml, a concentration of the Laminin in the matrix is about 1 μg/ml and a concentration of the Fibronectin in the matrix is about 1 Mg/ml-
According to some embodiments of the invention, the third culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF). According to some embodiments of the invention, the successive isolation comprises at least four isolation steps following at least four culturing steps, wherein a fourth isolation of the at least four isolation steps is effected up to 45 days of a fourth culturing of the at least four culturing steps.
According to some embodiments of the invention, the fourth isolation results in a population of cells comprising HES5+ late radial glial cells.
According to some embodiments of the invention, the fourth culturing is performed on an extracellular matrix, e.g., an extracellular matrix comprises polyomithine, Laminin and Fibronectin.
According to some embodiments of the invention, the fourth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
According to some embodiments of the invention, the successive isolation comprises at least five isolation steps following at least five culturing steps, wherein a fifth isolation of the at least five isolation steps is effected up to 140 days of a fifth culturing of the at least five culturing steps.
According to some embodiments of the invention, the fifth isolation results in a population of cells comprising HES5+ long term neural progenitor cells.
According to some embodiments of the invention, the fifth culturing is performed on an extracellular matrix, e.g., an extracellular matrix comprises polyomithine, Laminin and Fibronectin.
According to some embodiments of the invention, the fifth culturing is performed in the presence of a culture medium which comprises fibroblast growth factor 2 (FGF2) and epidermal growth factor (EGF).
According to some embodiments of the invention, the concentration of FGF2 in the culture medium is in the range of 1-50 ng/ml, e.g., about 20 ng/ml.
According to some embodiments of the invention, the concentration of EGF in the culture medium is in the range of 1-50 ng/ml, e.g., about 20 ng/ml.
According to some embodiments of the invention, the concentration of the FGF2 in the medium is about 20 ng/ml, and a concentration of the EGF in the medium is about 20 ng/ml. A non-limiting example of a culture medium which can be used for the third, fourth and/or fifth culturing steps can be DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (1-50 ng/ml, e.g., about 20 ng/ml) and EGF (1-50 ng/ml, e.g., about 20 ng/ml)
According to some embodiments of the invention, the culturing in the third, fourth and/or fifth culturing steps comprises passaging the cells every about 5-8 days, e.g., every 7 days.
Following is a non-limiting protocol of producing and isolating HES5+ M-RG cells: HES5+ E-RG cells from the second culturing step are isolated and replated on a matrix which comprises polyornithine (15 μg/ml), Laminin (1 μg/ml) and Fibronectin (1 μg/ml) in a medium which comprises: DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (20 ng/ml) and EGF (20 ng/ml). The cells are cultured for 3 weeks (21 days), while being passaged about every 7 days, in order to maintain a proliferative (FGF and EGF responsive) neural progenitor cells state.
Following is a non-limiting protocol for producing HES5+ L-RG cells: HES5+ MRG cells isolated following the third culturing step (e.g., on day 35 of total culturing days starting from day 0) are replated on matrix which comprises polyornithine (15 μg/ml), Laminin (1 μg/ml) and Fibronectin (1 μg/ml) in the presence of a culture medium such as DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (20 ng/ml) and EGF (20 ng/ml). The cells are cultured for up to about 45 days (thus reaching a total of about 80 days in culture from day 0), while being passaged weekly.
Following is a non-limiting protocol for producing HES5+ L-NP cells: HES5+
L-RG cells isolated following the fourth culturing step (e.g., on day 80 of the total culturing days starting form day 0) are replated on a matrix which comprises polyornithine (15 μ^ητΐ), Laminin (1 μg/ml) and Fibronectin (1 μ^ητΐ) with a culture medium such as DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone, and further supplemented with FGF2 (20 ng/ml) and EGF (20 ng/ml) for up to 140 days (thus reaching a total of about 220 days in culture from day 0), while being passaged weekly. According to some embodiments of the invention, the method of isolating neural progenitor cells further comprising qualifying presence of a neural progenitor cell of interest according to at least one marker comprised in an expression signature of the neural progenitor cells, wherein:
(i) an expression signature of HES5+ neuroepithelial cells comprises
HES5+/SOX l+/PAX6+/SOX2+/Nestin+/CDC6+/CDX 1+/CENPH+/TOP2A+;
(ii) an expression signature of HES5+ early radial glial cells comprises HES5+/ARX+/FEZF2+/NR2E 1 +;
(iii) an expression signature of HES5+ mid radial glial cells comprises HES5+/POU3F2+/GLAST+/FABP7+;
(iv) an expression signature of HES5+ late radial glial cells comprise HES5+/OLIG1+/PDGFRA+/CUX1+/CUX2+/POU3F2+/S100B+/EGFR+;
(v) an expression signature of HES5+ long term neural progenitor cells comprise HES5+/ANXA2+/LGALS 1+/EGFR+/ S 100B+.
According to some embodiments of the invention, qualifying the HES5+ neuroepithelial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the first isolation step of at least one gene (marker) selected from the group consisting of: TOP2A, HIST1H4C, TRJM71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1 , FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LEVIS 1, CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1, CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM126A, MAGT1, CDC6, C60RF211, RFC5, PSMD1, HMMR, UNG, UBE2C, GINS1, AURKB, LEPREL1, SBNOl, ZWINT, MKI67, CCAR1, FKBP5, PVRL3, CCNB1, NOP58, COL4A1, GGH, LSM6, EID1, GPX8, STC2, CD276, HS2ST1, EIF5B, HDGF, and NOL7 as compared to the expression level of the at least one gene in HES5- cells which remain in the culture following the first isolation (when the culture is depleted of the HES5+ cells).
As used herein the phrase "an increase above a predetermined threshold" refers to an increase in the level of expression in of a specific gene in certain cells (e.g., the HES5+ cell) measured following a specific isolation step which is higher than the predetermined threshold relative to the level of expression of the same gene in reference cells (e.g., the HES5- cell) measured following the same specific isolation step.
According to some embodiments of the invention, qualifying the HES5+ early radial glial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the second isolation step of at least one gene (marker) selected from the group consisting of: NR2E1, HES5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, FAM107A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1 , LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZ1, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7, SMOC1, TBC1D9, FAT4, SCUBE3, FUT8, CSPG5, DLL1, BOC, ID4, EGR1, ALPL, RFX4, GALNT12, CBX2, FHOD3, SORBS2, GUCY1B3, MBIP, FBX016, SHISA2, DAB1, GLI3, FZD3, SEMA5B, LGALS3BP, SFRP1, C1QL1, RING1, GPRC5B, ZNF710, WSCD1, VPS37B, ZIC2, SDK2, DOCK 1 1 , GAS1, ZNF436, TMSB15A, IER2, FEZl, CELF2, SFT2D3, NCALD, AKAP7, MY ADM, NEDD4L, PHC2, PI4KAP2, STARD3, and CAMK1D as compared to the expression level of the at least one gene in HES5- cells which remain in the culture following the second isolation (when the culture is depleted of the HES5+ cells).
According to some embodiments of the invention, qualifying the HES5+ mid radial glial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the third isolation step of at least one gene (marker) selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RABIO, WASF1, ZBED4, EZH2, PPA2, H1F0, CCNJ, 1TGB8, SH3BGRL3, IRX2, KIF23, PEG10, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAP1, LIMCHl , ETNK1 , RNF13, ARID IB, TRIM28, CNOT8, CRNDE, TWSG1, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRK1, TRIM41, SATB1, HOMER 1, CCNG1, ATF2, AP1AR, GABPA, STXBP3, SMC5, CDKNIB, NUPL1, UBA1, CYTH2, FXYD6, ISYNA1, DOCK1, 41527, LPHN2, IDI1, PXMP2, U2AF2, ARHGAP12, KLHL24, CKAP2, ZNF238, PARP6, NHSL1, PBRM1, BAZ1A, MAP4K5, TSPAN12, SH3GLB1, ASPM, ANKLE2, SPG20, MAP4K4, CASC4, FUBP3, ARSB, BTAF1, SIKE1, VEZT, PBX3, CBL, EIF2AK4, API5, MTSS1, NET1, CHD6, ZNF117, PNMA1, PTPN13, MTIF2, SSFA2, KIAA1279, STRN3, WIPF1, MEIS2, ZC3H4, DYNC1I2, RTN4, TAF2, RASA1, OSBPL8, SKA2, IGF1R, RNF6, SGTB, TMEM131, HIATL1, TGIF1, TMEM170B, PSAT1, ACBD5, HECTD2, ASF1A, LAMB1, GLS, DDX39, DGCR2, EIF1AX, SALLl, GOLPH3, PTBP2, GRIP1, PNPLA8, VASH2, SUDS 3, PFDN4, BAZ2A, PRKDC, GLYRl, DAZAP2, PCMTD1, SENP6, CLINT1, RECQL, CNTNAP2, CTBP1, C10ORF18, CDON, B4GALT6, CSNK1G3, STAT5B, TMEM60, HNRNPH2, TACC2, CCNG2, FSCN1, CCNA2, C210RF45, PLRG1, ZFHX3, UBE2A, DMTF1, TRA2A, MY05A, FAM96A, IFT80, VPS26A, MRPL50, ACYP1, WDR11, PLDN, RPRDIA, MEAF6, CKAP5, YTHDC2, GABARAPL2, IPOS, PGAP1, C140RF147, CD200, MST4, PPT1, ANKRD50, HPS 3, CCNC, THRAP3, TWF1, CYP51A1, PSPC1, WDR75, CAST, SEPW1, C210RF59, PIK3C2A, GNG5, MED4, GIPCl, STK39, KIAA1715, PHF6, PPTC7, SOCS4, PPM1B, UQCRB, C10ORF84, SLAIN1, RAB6A, SOS2, KLF10, RNF4, C30RF63, INSIG1, CPSF1, DNAJC4, ATP2B4, PPP2R1A, TRIM22, SDC3, TSNAX, PPIL4, ZDHHC2, ZBTB44, AN06, PPP2CB, UBA2, BBS2, ZNF423, RNF5, C10RF31, IFT81, CPSF6, KLHL9, FAM164A, TTC35, CCDC90B, TM9SF4, SEC24B, SMARCC2, CAP2, SAR1A, THY1, RBPMS2, EIF3A, DZIP1, ARL6IP1, SACMIL, PAPD4, SCG2, TCF3, EFHA1 , HNRNPA2B 1 , EWSR1, STAG2, YEATS4, PAQR3, GAR1, FTH1, C190RF43, TMEM14C, CCDC104, PSMD12, DCTD, SSR1, HMGCS1, HMGB3, KIF3A, TMEM128, PATZL RBL2, ARFGAP3, DNAJB5, TMED7, G3BP2, BMPR1A, FMR1, TPST2, TMSB4X, RP2, CEP170, KLHL23, RNF7, HNRNPH1, MARCKS, HNRNPD, TOB1, UTP11L, RFK, DHX36, LCOR, WBP5, PHLDB2, USP33, EFNB2, C60RF62, MEX3B, ABCD3, ATG3, ARID4B, C70RF11, EPB41, TCF12, CDK8, CMIP, ATG12, CETN3, ZNF217, TMEM55A and UBE2N as compared to the expression level of the at least one gene in HES5- cells which remain in the culture following the third isolation (when the culture is depleted of the HES5+ cells).
According to some embodiments of the invention, qualifying the HES5+ late radial glial cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the fourth isolation step of at least one gene (marker) selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1, PDGFRA, COL22A1, KIAA1239, PCDH10, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COL11A1, TRIM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHD1, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51, CHST3, PAG1, MY05C, CACNB2, NDRG2, ST3GAL5, TPD52L1, TRIBl , PRKCA, BCKDHB, GLT25D2, LITAF, PLCBl, TIMP3, ZBTB46, OPCML, CTDSPL, MDGA2, MEGF10, EYA2, KANKl, RAB31, TRIL, FAM171B, ALCAM, RAB6B, PGM2L1, LARGE, HPCAL1 , HTRA1 , TRPSl, TRIB3, IGF2BP2, PITPNC1, CMTM4, IAH1, DHTKD1, SNAP29, CTNNBIP1, NQ02, MAP4, CBRL LTBP1, C50RF32, MARK1, AASS, CISDl, DSC2, SLC25A33, RIMS 3, ZIC3, EGF, SRGAP2, RANGAP1, SCRG1, PRCP, CA12, HEATR5A, ZNF503, GYG2, ANAPC1, C190RF63, ASAP1, C10RF96, DHX33, FASTKD1, STAU2, MAML2, RRAS2, GLTP, VPS 13B, GPT2, NKAIN4 and ZC3HAV1 as compared to the expression level of the at least one gene in HES5- cells which remain in the culture following the fourth isolation (when the culture is depleted of the HES5+ cells).
According to some embodiments of the invention, qualifying the HES5+ long term neural progenitor cells is performed by detecting an increase above a predetermined threshold in the expression level in the HES5+ cells isolated in the fifth isolation step of at least one gene (marker) selected from the group consisting of: ANXA2P2, ANXA2, FRASl, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSF10D, S100A6, RNF182, LGALS1, ISL1, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAG1, MMD, PTGR1, PDP1, COL18A1, ZIC4, BASP1 , AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21, and FAM38A as compared to the expression level of the at least one gene in HES5- cells which remain in the culture following the fifth isolation (when the culture is depleted of the HES5+ cells).
According to some embodiments of the invention, the method further comprising qualifying presence of a neural progenitor cell of interest according to epigenetic analysis (e.g., DNA methylation and histone modification) functional phenotype and/or morphological phenotype. Non-limiting examples of such analyses are described in the Examples section which follows. The expression of several transcription factors was analyzed in cells appearing (or present) in the various stages of neural differentiation. Cells of the "NE stage" refer to the cells present following the first culturing step; Cells of the "E-RG stage" or "ERG stage" refer to the cells present following the second culturing step; Cells of the "M-RG stage" or "MRG stage" refer to cells present following the third culturing step; Cells of the "L-RG stage" or "LRG stage" refer to cells present following the fourth culturing step; and Cells of the "LNP stage" refer to cells present following the fifth culturing step.
Transcription factors which are upregulated early in neural differentiation of pluripotent stem cells include FOXGL PAX6, ZIC1, SP8 and ARX. These factors are upregulated in NE, E-RG, M-EG, L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
Transcription factors which are upregulated in the middle (mid upregulated) of neural differentiation of pluripotent stem cells include NFIA, NFIB and SLITRK3. These factors are upregulated in M-RG, L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
Transcription factors which are upregulated late in neural differentiation of pluripotent stem cells include GABBR2, GRIA4, GRM3, DLX1, DLX2, OLIG1, OLIG2 and LGALS1. These factors are upregulated in L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
Transcription factors which are upregulated early but transiently during neural differentiation of pluripotent stem cells include HES5, NR2E1, DLL1, EMX2, MEIS2, LGR5, DACH1, PLAGL1 and LGI1. These factors are upregulated in NE, E-RG, and some also in the M-EG stage as compared to their level in undifferentiated pluripotent stem cells (hESC), but this upregulation is transient and reduces during the L-RG and LNP stages (Figure 6A).
Transcription factors which are unique to the HES5- cells of the NE stage include COMES and RSP02 (activated as compared to undifferentiated hESCs). These factors are also upregulated in the M-RG stage in both HES5+ and HES5- as compared to their levels in undifferentiated hESCs.
A non-limiting example of a transcription factor which is downregulated early in neural differentiation includes POU5F1. This factor in downregulated in cells of the NE, E-RG, M-EG, L-RG and LNP stages as compared to its level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
Transcription factors which are downregulated in the middle (mid upregulated) stage of neural differentiation of pluripotent stem cells include LIN28A, HMGA2 and FUR. These factors are downregulated in M-RG, L-RG and LNP stages as compared to their level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
A non-limiting example of a transcription factor which is downregulated late in neural differentiation of pluripotent stem cells includes OTX2. This factor is downregulated in L-RG and LNP stages as compared to its level in undifferentiated pluripotent stem cells (hESC, Figure 6A).
According to some embodiments of the invention, the at least one marker comprises a cell surface marker.
According to some embodiments of the invention, the at least one marker comprises a secreted marker.
According to some embodiments of the invention, the stem cells comprise pluripotent stem cells.
According to some embodiments of the invention, the pluripotent stem cells comprise embryonic stem cells.
According to some embodiments of the invention, the pluripotent stem cells comprise induced pluripotent stem (iPS) cells.
According to some embodiments of the invention, the stem cells are derived from a subject having a CNS disease or disorder.
According to some embodiments of the invention, the CNS disease or disorder comprises a motor-neuron disease.
According to some embodiments of the invention, the CNS disease or disorder is characterized by cortex damage.
According to some embodiments of the invention, the cells of some embodiments of the invention are characterized according to the expression values, epigenetic analyses and/or transcriptional activity provided by the TERA and/or DNAchip and/or RNAseq and/or microarray and/or histon modification and/or DNA methylation analyses provided in the Examples and Tables included in the application as well as in the supplementary Data 1-7 attached herein, which are fully incorporated herein in their entirety.
According to an aspect of some embodiments of the invention there is provided a culture medium for neuroepithelial differentiation comprising noggin, LDN-193189 and SB-431542.
According to some embodiments of the invention, the concentration of Noggin in the culture medium is between from 200-300 ng/ml, e.g., about 250 ng/ml (nanograms per milliliter), the concentration of LDN-193189 in the culture medium is from 50-200 nM, e.g., about 100 nM (nanomolar), and the concentration of SB-431542 in the culture medium is from 5-20 μΜ, e.g., about 10 μΜ (micromolar).
According to specific embodiments of the invention, the culture medium comprises Noggin (250 ng/ml), LDN-193189 (100 nM) and SB-431542 (10 μΜ).
According to some embodiments of the invention, the culture medium further comprises sonic hedgehog.
According to some embodiments of the invention, the concentration of Sonic hedgehog in the culture medium is about 10-50 ng/ml, e.g., about 30 ng/ml.
As used herein, the phrase "stem cells" refers to cells which are capable of remaining in an undifferentiated state (e.g., pluripotent or multipotent stem cells) for extended periods of time in culture until induced to differentiate into other cell types having a particular, specialized function (e.g., fully differentiated cells). Preferably, the phrase "stem cells" encompasses embryonic stem cells (ESCs), induced pluripotent stem cells (iPS), adult stem cells and hematopoietic stem cells.
The phrase "embryonic stem cells" refers to embryonic cells which are capable of differentiating into cells of all three embryonic germ layers (i.e., endoderm, ectoderm and mesoderm), or remaining in an undifferentiated state. The phrase "embryonic stem cells" may comprise cells which are obtained from the embryonic tissue formed after gestation (e.g., blastocyst) before implantation of the embryo (i.e., a pre-implantation blastocyst), extended blastocyst cells (EBCs) which are obtained from a post- implantation/pre-gastrulation stage blastocyst (see WO2006/040763) and embryonic germ (EG) cells which are obtained from the genital tissue of a fetus any time during gestation, preferably before 10 weeks of gestation. Induced pluripotent stem cells (iPS; embryonic-like stem cells), are cells obtained by de-differentiation of adult somatic cells which are endowed with pluripotency (i.e., being capable of differentiating into the three embryonic germ cell layers, i.e., endoderm, ectoderm and mesoderm). According to some embodiments of the invention, such cells are obtained from a differentiated tissue (e.g., a somatic tissue such as skin) and undergo de-differentiation by genetic manipulation which re-program the cell to acquire embryonic stem cells characteristics. According to some embodiments of the invention, the induced pluripotent stem cells are formed by inducing the expression of Oct-4, Sox2, Kfl4 and c-Myc in a somatic stem cell.
The phrase "adult stem cells" (also called "tissue stem cells" or a stem cell from a somatic tissue) refers to any stem cell derived from a somatic tissue [of either a postnatal or prenatal animal (especially the human)]. The adult stem cell is generally thought to be a multipotent stem cell, capable of differentiation into multiple cell types. Adult stem cells can be derived from any adult, neonatal or fetal tissue such as adipose tissue, skin, kidney, liver, prostate, pancreas, intestine, bone marrow and placenta.
Hematopoietic stem cells, which may also referred to as adult tissue stem cells, include stem cells obtained from blood or bone marrow tissue of an individual at any age or from cord blood of a newborn individual. Preferred stem cells according to this aspect of some embodiments of the invention are embryonic stem cells, preferably of a human or primate (e.g., monkey) origin.
Placental and cord blood stem cells may also be referred to as "young stem cells".
The embryonic stem cells of some embodiments of the invention can be obtained using well-known cell-culture methods. For example, human embryonic stem cells can be isolated from human blastocysts. Human blastocysts are typically obtained from human in vivo preimplantation embryos or from in vitro fertilized (IVF) embryos. Alternatively, a single cell human embryo can be expanded to the blastocyst stage. For the isolation of human ES cells the zona pellucida is removed from the blastocyst and the inner cell mass (ICM) is isolated by immunosurgery, in which the trophectoderm cells are lysed and removed from the intact ICM by gentle pipetting. The ICM is then plated in a tissue culture flask containing the appropriate medium which enables its outgrowth. Following 9 to 15 days, the ICM derived outgrowth is dissociated into clumps either by a mechanical dissociation or by an enzymatic degradation and the cells are then re-plated on a fresh tissue culture medium. Colonies demonstrating undifferentiated morphology are individually selected by micropipette, mechanically dissociated into clumps, and re-plated. Resulting ES cells are then routinely split every 4-7 days. For further details on methods of preparation human ES cells see Thomson et al., [U.S. Pat. No. 5,843,780; Science 282: 1145, 1998; Curr. Top. Dev. Biol. 38: 133, 1998; Proc. Natl. Acad. Sci. USA 92: 7844, 1995]; Bongso et al., [Hum Reprod 4: 706, 1989]; and Gardner et al., [Fertil. Steril. 69: 84, 1998].
It will be appreciated that commercially available stem cells can also be used according to some embodiments of the invention. Human ES cells can be purchased from the ΝΓΗ human embryonic stem cells registry [Hypertext Transfer Protocol ://grants (dot) nih (dot) gov/stem_cells/registry /current (dot) htm]. Non- limiting examples of commercially available embryonic stem cell lines are BG01, BG02, BG03, BG04, CY12, CY30, CY92, CY10, TE03, TE32, CHB-4, CHB-5, CHB- 6, CHB-8, CHB-9, CHB-10, CHB-11 , CHB-12, HUES 1, HUES 2, HUES 3, HUES 4, HUES 5, HUES 6, HUES 7, HUES 8, HUES 9, HUES 10, HUES 11, HUES 12, HUES 13, HUES 14, HUES 15, HUES 16, HUES 17, HUES 18, HUES 19, HUES 20, HUES 21, HUES 22, HUES 23, HUES 24, HUES 25, HUES 26, HUES 27, HUES 28, CyT49, RUES3, WA01, UCSF4, NYUESl, NYUES2, NYUES3, NYUES4, NYUES5, NYUES6, NYUES7, UCLA 1, UCLA 2, UCLA 3, WA077 (H7), WA09 (H9), WA13 (H13), WA14 (H14), HUES 62, HUES 63, HUES 64, CT1, CT2, CT3, CT4, MA135, Eneavour-2, WIBR1, WIBR2, WIBR3, WIBR4, WIBR5, WTBR6, HUES 45, Shef 3, Shef 6, BJNheml9, BJNhem20, SA001, SA001.
In addition, ES cells can be obtained from other species as well, including mouse (Mills and Bradley, 2001), golden hamster [Doetschman et al., 1988, Dev Biol. 127: 224-7], rat [lannaccone et al., 1994, Dev Biol. 163: 288-92] rabbit [Giles et al. 1993, Mol Reprod Dev. 36: 130-8; Graves & Moreadith, 1993, Mol Reprod Dev. 1993, 36: 424-33], several domestic animal species [Notarianni et al., 1991, J Reprod Fertil Suppl. 43: 255-60; Wheeler 1994, Reprod Fertil Dev. 6: 563-8; Mitalipova et al., 2001, Cloning. 3: 59-67] and non-human primate species (Rhesus monkey and marmoset) [Thomson et al., 1995, Proc Natl Acad Sci U S A. 92: 7844-8; Thomson et al., 1996, Biol Reprod. 55: 254-9]. Extended blastocyst cells (EBCs) can be obtained from a blastocyst of at least nine days post fertilization at a stage prior to gastrulation. Prior to culturing the blastocyst, the zona pellucida is digested [for example by Tyrode's acidic solution (Sigma Aldrich, St Louis, MO, USA)] so as to expose the inner cell mass. The blastocysts are then cultured as whole embryos for at least nine and no more than fourteen days post fertilization (i.e., prior to the gastrulation event) in vitro using standard embryonic stem cell culturing methods.
EG cells are prepared from the primordial germ cells obtained from fetuses of about 8-11 weeks of gestation (in the case of a human fetus) using laboratory techniques known to anyone skilled in the arts. The genital ridges are dissociated and cut into small chunks which are thereafter disaggregated into cells by mechanical dissociation. The EG cells are then grown in tissue culture flasks with the appropriate medium. The cells are cultured with daily replacement of medium until a cell morphology consistent with EG cells is observed, typically after 7-30 days or 1-4 passages. For additional details on methods of preparation human EG cells see Shamblott et al., [Proc. Natl. Acad. Sci. USA 95: 13726, 1998] and U.S. Patent No. 6,090,622.
Induced pluripotent stem cells (iPS) (embryonic-like stem cells) can be generated from somatic cells by genetic manipulation of somatic cells, e.g., by retroviral transduction of somatic cells such as fibroblasts, hepatocytes, gastric epithelial cells with transcription factors such as Oct-3/4, Sox2, c-Myc, and KLF4 [Yamanaka S, Cell Stem Cell. 2007, l(l):39-49; Aoi T, et al., Generation of Pluripotent Stem Cells from Adult Mouse Liver and Stomach Cells. Science. 2008 Feb 14. (Epub ahead of print); Hi Park, Zhao R, West JA, et al. Reprogramming of human somatic cells to pluripotency with defined factors. Nature 2008;451:141-146; K Takahashi, Tanabe K, Ohnuki M, et al. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell 2007;131 :861-872]. Other embryonic-like stem cells can be generated by nuclear transfer to oocytes, fusion with embryonic stem cells or nuclear transfer into zygotes if the recipient cells are arrested in mitosis.
Adult tissue stem cells can be isolated using various methods known in the art such as those disclosed by Alison, M.R. [J Pathol. 2003 200(5): 547-50], Cai, J. et al., [Blood Cells Mol Dis. 2003 31(1): 18-27], Collins, A.T. et al., [J Cell Sci. 2001; 114(Pt 21): 3865-72], Potten, C. S. and Morris, R. J. [Epithelial stem cells in vivo. 1988. J. Cell Sci. Suppl. 10, 45-62], Dominici, M et al., [J. Biol. Regul. Homeost. Agents. 2001, 15: 28-37], Caplan and Haynesworth [U.S. Pat. No. 5,486,359] Jones E.A. et al., [Arthritis Rheum. 2002, 46(12): 3349-60]. Fetal stem cells can be isolated using various methods known in the art such as those disclosed by Eventov-Friedman S, et al., PLoS Med. 2006, 3: e215; Eventov-Friedman S, et al., Proc Natl Acad Sci U S A. 2005, 102: 2928- 33; Dekel B, et al., 2003, Nat Med. 9: 53-60; and Dekel B, et al., 2002, J. Am. Soc. Nephrol. 13: 977-90. Hematopoietic stem cells can be isolated using various methods known in the arts such as those disclosed by "Handbook of Stem Cells" edit by Robert Lanze, Elsevier Academic Press, 2004, Chapter 54, pp609-614, isolation and characterization of hematopoietic stem cells, by Gerald J Spangrude and William B Stayton.
Generally, isolation of adult tissue stem cells is based on the discrete location (or niche) of each cell type included in the adult tissue, i.e., the stem cells, the transit amplifying cells and the terminally differentiated cells [Potten, C. S. and Morris, R. J. (1988). Epithelial stem cells in vivo. J. Cell Sci. Suppl. 10, 45-62]. Thus, an adult tissue such as, for example, prostate tissue is digested with Collagenase and subjected to repeated unit gravity centrifugation to separate the epithelial structures of the prostate (e.g., organoids, acini and ducts) from the stromal cells. Organoids are then disaggregated into single cell suspensions by incubation with Trypsin/EDTA (Life Technologies, Paisley, UK) and the basal, CD44-positive, stem cells are isolated from the luminal, CD57-positive, terminally differentiated secretory cells, using anti-human CD44 antibody (clone G44-26; Pharmingen, Becton Dickinson, Oxford, UK) labeling and incubation with MACS (Miltenyi Biotec Ltd, Surrey, UK) goat anti-mouse IgG microbeads. The cell suspension is then applied to a MACS column and the basal cells are eluted and re-suspended in WAJC 404 complete medium [Robinson, E.J. et al. (1998). Basal cells are progenitors of luminal cells in primary cultures of differentiating human prostatic epithelium Prostate 37, 149-160].
Since basal stem cells can adhere to basement membrane proteins more rapidly than other basal cells [Jones, P.H. et al. (1995). Stem cell patterning and fate in human epidermis. Cell 60, 83-93; Shinohara, T., et al. (1999). βΐ- and a6-integrin are surface markers on mouse spermatogonia! stem cells. Proc. Natl. Acad. Sci. USA 96, 5504- 5509] the CD44 positive basal cells are plated onto tissue culture dishes coated with either type I collagen (52 μg/ml), type IV collagen (88 μg/ml) or laminin 1 (100 μg/ml; Biocoat®, Becton Dickinson) previously blocked with 0.3 % bovine serum albumin (fraction V, Sigma- Aldrich, Poole, UK) in Dulbecco's phosphate buffered saline (PBS; Oxoid Ltd, Basingstoke, UK). Following 5 minutes, the tissue culture dishes are washed with PBS and adherent cells, containing the prostate tissue basal stem cells are harvested with trypsin-EDTA.
It will be appreciated that undifferentiated stem cells are of a distinct morphology, which is clearly distinguishable from differentiated cells of embryo or adult origin by the skilled in the art. Typically, undifferentiated stem cells have high nuclear/cytoplasmic ratios, prominent nucleoli and compact colony formation with poorly discernable cell junctions. Additional features of undifferentiated stem cells are further described hereinunder.
Methods of detecting the expression level of RNA
The expression level of the RNA in the cells of some embodiments of the invention can be determined using methods known in the arts.
Northern Blot analysis: This method involves the detection of a particular RNA in a mixture of RNAs. An RNA sample is denatured by treatment with an agent (e.g., formaldehyde) that prevents hydrogen bonding between base pairs, ensuring that all the RNA molecules have an unfolded, linear conformation. The individual RNA molecules are then separated according to size by gel electrophoresis and transferred to a nitrocellulose or a nylon-based membrane to which the denatured RNAs adhere. The membrane is then exposed to labeled DNA probes. Probes may be labeled using radioisotopes or enzyme linked nucleotides. Detection may be using autoradiography, colorimetric reaction or chemiluminescence. This method allows both quantitation of an amount of particular RNA molecules and determination of its identity by a relative position on the membrane which is indicative of a migration distance in the gel during electrophoresis.
RT-PCR analysis: This method uses PCR amplification of relatively rare RNAs molecules. First, RNA molecules are purified from the cells and converted into complementary DNA (cDNA) using a reverse transcriptase enzyme (such as an MMLV-RT) and primers such as, oligo dT, random hexamers or gene specific primers. Then by applying gene specific primers and Taq DNA polymerase, a PCR amplification reaction is carried out in a PCR machine. Those of skills in the art are capable of selecting the length and sequence of the gene specific primers and the PCR conditions (i.e., annealing temperatures, number of cycles and the like) which are suitable for detecting specific RNA molecules. It will be appreciated that a semi-quantitative RT- PCR reaction can be employed by adjusting the number of PCR cycles and comparing the amplification product to known controls.
RNA in situ hybridization stain: In this method DNA or RNA probes are attached to the RNA molecules present in the cells. Generally, the cells are first fixed to microscopic slides to preserve the cellular structure and to prevent the RNA molecules from being degraded and then are subjected to hybridization buffer containing the labeled probe. The hybridization buffer includes reagents such as formamide and salts (e.g., sodium chloride and sodium citrate) which enable specific hybridization of the DNA or RNA probes with their target mRNA molecules in situ while avoiding nonspecific binding of probe. Those of skills in the art are capable of adjusting the hybridization conditions (i.e., temperature, concentration of salts and formamide and the like) to specific probes and types of cells. Following hybridization, any unbound probe is washed off and the bound probe is detected using known methods. For example, if a radio-labeled probe is used, then the slide is subjected to a photographic emulsion which reveals signals generated using radio-labeled probes; if the probe was labeled with an enzyme then the enzyme- specific substrate is added for the formation of a colorimetric reaction; if the probe is labeled using a fluorescent label, then the bound probe is revealed using a fluorescent microscope; if the probe is labeled using a tag (e.g., digoxigenin, biotin, and the like) then the bound probe can be detected following interaction with a tag-specific antibody which can be detected using known methods.
In situ RT-PCR stain: This method is described in Nuovo GJ, et al.
[Intracellular localization of polymerase chain reaction (PCR)-amplified hepatitis C cDNA. Am J Surg Pathol. 1993, 17: 683-90] and Komminoth P, et al. [Evaluation of methods for hepatitis C virus detection in archival liver biopsies. Comparison of histology, immunohistochemistry, in situ hybridization, reverse transcriptase polymerase chain reaction (RT-PCR) and in situ RT-PCR. Pathol Res Pract. 1994, 190: 1017-25]. Briefly, the RT-PCR reaction is performed on fixed cells by incorporating labeled nucleotides to the PCR reaction. The reaction is carried on using a specific in situ RT-PCR apparatus such as the laser-capture microdissection PixCell I LCM system available from Arcturus Engineering (Mountainview, CA).
DNA microarrays/DNA chips:
The expression of thousands of genes may be analyzed simultaneously using DNA microarrays, allowing analysis of the complete transcriptional program of an organism during specific developmental processes or physiological responses. DNA microarrays consist of thousands of individual gene sequences attached to closely packed areas on the surface of a support such as a glass microscope slide. Various methods have been developed for preparing DNA microarrays. In one method, an approximately 1 kilobase segment of the coding region of each gene for analysis is individually PCR amplified. A robotic apparatus is employed to apply each amplified DNA sample to closely spaced zones on the surface of a glass microscope slide, which is subsequently processed by thermal and chemical treatment to bind the DNA sequences to the surface of the support and denature them. Typically, such arrays are about 2 x 2 cm and contain about individual nucleic acids 6000 spots. In a variant of the technique, multiple DNA oligonucleotides, usually 20 nucleotides in length, are synthesized from an initial nucleotide that is covalently bound to the surface of a support, such that tens of thousands of identical oligonucleotides are synthesized in a small square zone on the surface of the support. Multiple oligonucleotide sequences from a single gene are synthesized in neighboring regions of the slide for analysis of expression of that gene. Hence, thousands of genes can be represented on one glass slide. Such arrays of synthetic oligonucleotides may be referred to in the art as "DNA chips", as opposed to "DNA microarrays", as described above [Lodish et al. (eds.). Chapter 7.8: DNA Microarrays: Analyzing Genome-Wide Expression. In: Molecular Cell Biology, 4th ed., W. H. Freeman, New York. (2000)] .
Oligonucleotide microarray - In this method oligonucleotide probes capable of specifically hybridizing with the polynucleotides of some embodiments of the invention are attached to a solid surface (e.g., a glass wafer). Each oligonucleotide probe is of approximately 20-25 nucleic acids in length. To detect the expression pattern of the polynucleotides of some embodiments of the invention in a specific cell sample (e.g., blood cells), RNA is extracted from the cell sample using methods known in the art (using e.g., a TRIZOL solution, Gibco BRL, USA). Hybridization can take place using either labeled oligonucleotide probes (e.g., 5'-biotinylated probes) or labeled fragments of complementary DNA (cDNA) or RNA (cRNA). Briefly, double stranded cDNA is prepared from the RNA using reverse transcriptase (RT) (e.g., Superscript Π RT), DNA ligase and DNA polymerase I, all according to manufacturer's instructions (Invitrogen Life Technologies, Frederick, MD, USA). To prepare labeled cRNA, the double stranded cDNA is subjected to an in vitro transcription reaction in the presence of biotinylated nucleotides using e.g., the BioArray High Yield RNA Transcript Labeling Kit (Enzo, Diagnostics, Affymetix Santa Clara CA). For efficient hybridization the labeled cRNA can be fragmented by incubating the RNA in 40 mM Tris Acetate (pH 8.1), 100 mM potassium acetate and 30 mM magnesium acetate for 35 minutes at 94 °C. Following hybridization, the microarray is washed and the hybridization signal is scanned using a confocal laser fluorescence scanner which measures fluorescence intensity emitted by the labeled cRNA bound to the probe arrays.
For example, in the Affymetrix microarray (Affymetrix®, Santa Clara, CA) each gene on the array is represented by a series of different oligonucleotide probes, of which, each probe pair consists of a perfect match oligonucleotide and a mismatch oligonucleotide. While the perfect match probe has a sequence exactly complimentary to the particular gene, thus enabling the measurement of the level of expression of the particular gene, the mismatch probe differs from the perfect match probe by a single base substitution at the center base position. The hybridization signal is scanned using the Agilent scanner, and the Microarray Suite software subtracts the non-specific signal resulting from the mismatch probe from the signal resulting from the perfect match probe.
Methods of detecting expression and/or activity of proteins
Expression and or activity level of proteins expressed in the cells of the cultures of some embodiments of the invention can be determined using methods known in the arts.
Enzyme linked immunosorbent assay (ELISA): This method involves fixation of a sample (e.g., fixed cells or a proteinaceous solution) containing a protein substrate to a surface such as a well of a microtiter plate. A substrate specific antibody coupled to an enzyme is applied and allowed to bind to the substrate. Presence of the antibody is then detected and quantitated by a colorimetric reaction employing the enzyme coupled to the antibody. Enzymes commonly employed in this method include horseradish peroxidase and alkaline phosphatase. If well calibrated and within the linear range of response, the amount of substrate present in the sample is proportional to the amount of color produced. A substrate standard is generally employed to improve quantitative accuracy.
Western blot: This method involves separation of a substrate from other protein by means of an acrylamide gel followed by transfer of the substrate to a membrane (e.g., nylon or PVDF). Presence of the substrate is then detected by antibodies specific to the substrate, which are in turn detected by antibody binding reagents. Antibody binding reagents may be, for example, protein A, or other antibodies. Antibody binding reagents may be radiolabeled or enzyme linked as described hereinabove. Detection may be by autoradiography, colorimetric reaction or chemiluminescence. This method allows both quantitation of an amount of substrate and determination of its identity by a relative position on the membrane which is indicative of a migration distance in the acrylamide gel during electrophoresis.
Radio -imm u n oassay (RIA): In one version, this method involves precipitation of the desired protein (i.e., the substrate) with a specific antibody and radiolabeled antibody binding protein (e.g., protein A labeled with I125) immobilized on a precipitable carrier such as agarose beads. The number of counts in the precipitated pellet is proportional to the amount of substrate.
In an alternate version of the RIA, a labeled substrate and an unlabelled antibody binding protein are employed. A sample containing an unknown amount of substrate is added in varying amounts. The decrease in precipitated counts from the labeled substrate is proportional to the amount of substrate in the added sample.
Fluorescence activated cell sorting (FACS): This method involves detection of a substrate in situ in cells by substrate specific antibodies. The substrate specific antibodies are linked to fluorophores. Detection is by means of a cell sorting machine which reads the wavelength of light emitted from each cell as it passes through a light beam. This method may employ two or more antibodies simultaneously.
Immunohistochemical analysis: This method involves detection of a substrate in situ in fixed cells by substrate specific antibodies. The substrate specific antibodies may be enzyme linked or linked to fluorophores. Detection is by microscopy and subjective or automatic evaluation. If enzyme linked antibodies are employed, a colorimetric reaction may be required. It will be appreciated that immunohistochemistry is often followed by counters taining of the cell nuclei using for example Hematoxyline or Giemsa stain.
In situ activity assay: According to this method, a chromogenic substrate is applied on the cells containing an active enzyme and the enzyme catalyzes a reaction in which the substrate is decomposed to produce a chromogenic product visible by a light or a fluorescent microscope.
In vitro activity assays: In these methods the activity of a particular enzyme is measured in a protein mixture extracted from the cells. The activity can be measured in a spectrophotometer well using colorimetric methods or can be measured in a non- denaturing acrylamide gel {i.e., activity gel). Following electrophoresis the gel is soaked in a solution containing a substrate and colorimetric reagents. The resulting stained band corresponds to the enzymatic activity of the protein of interest. If well calibrated and within the linear range of response, the amount of enzyme present in the sample is proportional to the amount of color produced. An enzyme standard is generally employed to improve quantitative accuracy.
As used herein the abbreviation "vs" means versus.
As used herein the term "about" refers to ± 1.0 %.
The terms "comprises", "comprising", "includes", "including", "having" and their conjugates mean "including but not limited to".
The term "consisting of means "including and limited to".
The term "consisting essentially of" means that the composition, method or structure may include additional ingredients, steps and/or parts, but only if the additional ingredients, steps and/or parts do not materially alter the basic and novel characteristics of the claimed composition, method or structure.
As used herein, the singular form "a", "an" and "the" include plural references unless the context clearly dictates otherwise. For example, the term "a compound" or "at least one compound" may include a plurality of compounds, including mixtures thereof.
Throughout this application, various embodiments of this invention may be presented in a range format. It should be understood that the description in range format is merely for convenience and brevity and should not be construed as an inflexible limitation on the scope of the invention. Accordingly, the description of a range should be considered to have specifically disclosed all the possible subranges as well as individual numerical values within that range. For example, description of a range such as from 1 to 6 should be considered to have specifically disclosed subranges such as from 1 to 3, from 1 to 4, from 1 to 5, from 2 to 4, from 2 to 6, from 3 to 6 etc., as well as individual numbers within that range, for example, 1, 2, 3, 4, 5, and 6. This applies regardless of the breadth of the range.
Whenever a numerical range is indicated herein, it is meant to include any cited numeral (fractional or integral) within the indicated range. The phrases "ranging/ranges between" a first indicate number and a second indicate number and "ranging/ranges from" a first indicate number "to" a second indicate number are used herein interchangeably and are meant to include the first and second indicated numbers and all the fractional and integral numerals therebetween.
As used herein the term "method" refers to manners, means, techniques and procedures for accomplishing a given task including, but not limited to, those manners, means, techniques and procedures either known to, or readily developed from known manners, means, techniques and procedures by practitioners of the chemical, pharmacological, biological, biochemical and medical arts.
As used herein, the term "treating" includes abrogating, substantially inhibiting, slowing or reversing the progression of a condition, substantially ameliorating clinical or aesthetical symptoms of a condition or substantially preventing the appearance of clinical or aesthetical symptoms of a condition.
When reference is made to particular sequence listings, such reference is to be understood to also encompass sequences that substantially correspond to its complementary sequence as including minor sequence variations, resulting from, e.g., sequencing errors, cloning errors, or other alterations resulting in base substitution, base deletion or base addition, provided that the frequency of such variations is less than 1 in 50 nucleotides, alternatively, less than 1 in 100 nucleotides, alternatively, less than 1 in 200 nucleotides, alternatively, less than 1 in 500 nucleotides, alternatively, less than 1 in 1000 nucleotides, alternatively, less than 1 in 5,000 nucleotides, alternatively, less than 1 in 10,000 nucleotides. It is appreciated that certain features of the invention, which are, for clarity, described in the context of separate embodiments, may also be provided in combination in a single embodiment. Conversely, various features of the invention, which are, for brevity, described in the context of a single embodiment, may also be provided separately or in any suitable subcombination or as suitable in any other described embodiment of the invention. Certain features described in the context of various embodiments are not to be considered essential features of those embodiments, unless the embodiment is inoperative without those elements. EXAMPLES
Reference is now made to the following examples, which together with the above descriptions illustrate some embodiments of the invention in a non limiting fashion.
Generally, the nomenclature used herein and the laboratory procedures utilized in the present invention include molecular, biochemical, microbiological and recombinant DNA techniques. Such techniques are thoroughly explained in the literature. See, for example, "Molecular Cloning: A laboratory Manual" Sambrook et al., (1989); "Current Protocols in Molecular Biology" Volumes Ι-ΙΠ Ausubel, R. M., ed. (1994); Ausubel et al., "Current Protocols in Molecular Biology", John Wiley and Sons, Baltimore, Maryland (1989); Perbal, "A Practical Guide to Molecular Cloning", John Wiley & Sons, New York (1988); Watson et al., "Recombinant DNA", Scientific American Books, New York; Birren et al. (eds) "Genome Analysis: A Laboratory Manual Series", Vols. 1-4, Cold Spring Harbor Laboratory Press, New York (1998); methodologies as set forth in U.S. Pat. Nos. 4,666,828; 4,683,202; 4,801,531; 5,192,659 and 5,272,057; "Cell Biology: A Laboratory Handbook", Volumes I-III Cellis, J. E., ed. (1994); "Current Protocols in Immunology" Volumes Ι-ΠΙ Coligan J. E., ed. (1994); Stites et al. (eds), "Basic and Clinical Immunology" (8th Edition), Appleton & Lange, Norwalk, CT (1994); Mishell and Shiigi (eds), "Selected Methods in Cellular Immunology", W. H. Freeman and Co., New York (1980); available immunoassays are extensively described in the patent and scientific literature, see, for example, U.S. Pat. Nos. 3,791,932; 3,839,153; 3,850,752; 3,850,578; 3,853,987; 3,867,517; 3,879,262; 3,901,654; 3,935,074; 3,984,533; 3,996,345; 4,034,074; 4,098,876; 4,879,219; 5,011,771 and 5,281,521; "Oligonucleotide Synthesis" Gait, M. J., ed. (1984); "Nucleic Acid Hybridization" Hames, B. D., and Higgins S. J., eds. (1985); "Transcription and Translation" Hames, B. D., and Higgins S. J., Eds. (1984); "Animal Cell Culture" Freshney, R. I., ed. (1986); "Immobilized Cells and Enzymes" IRL Press, (1986); "A Practical Guide to Molecular Cloning" Perbal, B., (1984) and "Methods in Enzymology" Vol. 1-317, Academic Press; "PCR Protocols: A Guide To Methods And Applications", Academic Press, San Diego, CA (1990); Marshak et al., "Strategies for Protein Purification and Characterization - A Laboratory Course Manual" CSHL Press (1996); all of which are incorporated by reference as if fully set forth herein. Other general references are provided throughout this document. The procedures therein are believed to be well known in the art and are provided for the convenience of the reader. All the information contained therein is incorporated herein by reference.
GENERAL MATERIALS AND EXPERIMENTAL METHODS
Culturing undifferentiated hESCs - The human ES cell (hESC) line H9 (WA- 09, XX, Wicell)-derived BAG transgenic HES5::eGFP line (Placantonakis, D ET AL., 2008) was cultured on mitotically inactivated mouse embryonic fibroblasts (MEFs) (Globalstem). Undifferentiated hESCs were maintained in medium containing DMEM/F12, 20% KSR (knockout serum replacement), 1 mM Glutamine, 1% Penicillin/Streptomycin, non-essential amino acids, beta-mercaptoethanol and Fibroblast growth factor 2 (FGF2) (10 ng/ml). Medium was replaced daily and cells were passaged weekly by treating cells with Dispase (6 U/ml, Worthington) followed by mechanical trituration. Undifferentiated ES cells were purified with pluripotency markers Alexa 647-conjugated Tra-1-60 and PE-conjugated SSEA-3 (BD Pharmingen).
Neural induction and rosette formation and propagation - For neural induction and generation of NE cells, hESC colonies were removed from mouse embryonic fibroblasts (MEFs) by Dispase (6 U/ml, Worthington), dissociated with Accutase (Innovative Cell Technologies, Inc.), plated at sub confluent cell density [40- 50xl03 cells/cm2, although twice higher density or alternatively small hESC clusters work well and accelerate confluence] on Matrigel™ (1:20, BD BIOSCIENCES) coated dishes, and supplemented with MEF-conditioned media and 10 μΜ ROCK inhibitor (Y- 27632, Tocris) with daily fresh FGF2 (10 ng/ml, R&D SYSTEMS). Alternatively, neuroepithelial cells were generated either by monolayer induction - with dissociated ES cells plated on Matrigel™ (BD biosciences), or by co-culture on MS5 stromal cells. Confluent cultures were subjected to dual SMAD inhibition neural differentiation protocol [Chambers, S. M. et al. Highly efficient neural conversion of human ES and iPS cells by dual inhibition of SMAD signaling. Nat Biotechnol 27, 275-280, 2009] containing Noggin (R&D, 250 ng/ml) and SB-431542 (10 μΜ, Tocris), and further supplemented with LDN-193189 (100 nM, Stemgent) (denoted LNSB protocol). HES5::eGFP usually appears on day 8 or 9. To generate E-RG rosettes and subsequent progenitors, NE cells were scrapped from plates on day 10-12, pre-incubated with Ca+2/Mg+2 free HBSS (Hanks Balanced Salt Solution) followed by collagenase II (2.5 mg/ml), Collagenase IV (2.5 mg/ml) and DNAse (0.5 mg/ml) solution (all from Worthington) (37°C, 20 minutes). Cells were then dissociated and replated at high density (500,000 cells/cm2) on moist Matrigel™ drops, and grown for additional days till rosettes appeared (E-RG stage). Neural induction and direct formation of E-RG stage rosettes could be also formed by co-culture of hESC clusters with MS5 stromal cells as previously described [Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)]. Briefly, early appearing NE cells and Neural rosettes on MS5 were harvested mechanically beginning on day 8-10 of differentiation, replated on culture dishes pre- coated with 15 μg/ml polyornithine (Sigma), 1 μg/ml Laminin (BD Biosciences) and 1 μg/ml Fibronectin (BD Biosciences) (Po/Lam/FN) till Day 14, to obtain E-RG rosettes. Under both protocols, early appearing NE cells were cultured from Day 9 with N2 medium (composed of DMEM/F12 and N2 supplement containing Insulin, Apo-transferin, Sodium Selenite, Putrecine and Progesterone), and further supplemented with low SHH (30 ng/ml), FGF8 (100 ng/ml) and BDNF (5 ng/ml) (all from R&D Systems) to induce and maintain early anterior regionalization of the neural plate. Long-term culture of E-RG rosettes was performed by a weekly mechanical harvesting of rosettes and re-plating on Po/Lam/FN coated dishes with N2 medium, SHH (sonic hedgehog) and FGF8 (fibroblast growth factor 8), till Day 28. These were gradually replaced by FGF2 (20 ng/ml) and EGF (20 ng/ml) in the following two weeks of differentiation in order to maintain a proliferative (FGF and EGF responsive) NPC state on Day 28 (all cytokines from R&D Systems). At each stage cells were either replated as clusters for next passage or subjected to FACS purification by pre- incubation with Ca+2/Mg+2 free HBSS followed by mechanical dissociation. FACS for GFP was used to sort HES5::GFP cells of NE to LRG. Similarly, EGFR antibody was used to sort for LNP cells, all as a purpose to purify for the highest NPC state for each stage. NE cells were collected at day 12 of differentiation, ERG were collected at day 14, mid neurogenesis radial glial (ERG) cells were collected at day 35, late gliogenic radial glial (LRG) cells were collected at day 80, and long term NPCs (LNP) were collected at day 220. At each stage cells were either split for the next passage or subjected to FACS purification for HES5::GFP as described. All replating was performed on Po/Lam/FN coated dishes. For generating mature differentiated populations, HES5+ sorted NPCs were seeded at high density and subjected to mitogen withdrawal differentiation medium for 17 days which included N2 supplemented with Ascorbic Acid (AA)/BDNF (neuronal; NEdN, ERGdN, MRGdN) or 5% Fetal Bovine Serum (FBS) (Invitrogen) (glial) (LRGdA). "dA" refers to differentiated to glial cells such as astrocytes and oligodendrocytes.
Neural patterning and cortical laminar specification - Neural patterning was performed in parallel to or immediately following neural induction. For midbrain dopaminergic neuron differentiation, hESCs were neurally induced on Matrigel™ as previously described (Kriks, S. et al. Dopamine neurons derived from human ES cells efficiently engraft in animal models of Parkinson's disease. Nature 480, 547-551, 2011), and treated with SHH C25II (100 ng/ml, R&D), FGF8 (100 ng/ml) and CHIR99021 (3 μΜ, Stemgent). On Day 12, GFP+ and GFP- NE cells were separated by FACS, replated at very high density (400,000 cells/cm2), followed by terminal differentiation with Neurobasal medium (Invitrogen) supplemented with BDNF (20 ng/ml), ascorbic acid (AA) (0.2 mM, Sigma), GDNF (20 ng/ml), TGFβ3 (1 ng/ml), dibutyryl cAMP (0.5 mM, Sigma), and DAPT (10 μΜ, Tocris) for 14 additional days. For motoneuron differentiation, hESC derived neurally induced cells either on MATRIGEL™ or MS5 were dissociated on day 12-14, and GFP+ and GFP- cells were separated by FACS and replated on Po/Lam/FN (MS 5 protocol) or MATRIGEL™ drops (Matrigel™ protocol) at medium density (200,000 cells/cm2) and treated with Retinoic Acid (RA, 1 μΜ, Sigma) and SHH C25II (125 ng/ml) till Day 28 as previously described (Elkabetz, Y. et al 2008). For early cortical neurons, NE cells on Day 12 were sorted for GFP+ and GFP- populations, replated and cultured with N2 supplemented with AA and BDNF. For inhibition of Notch during terminal differentiation (Figure 3E), DAPT was added to the differentiation medium (5 μΜ) from day 2 of differentiation till the rest of differentiation period. For the inhibition of Notch at early neural induction (Figures 9D-F), DAPT was added at 5 μΜ in day 2 or day 6 and cells were harvested for analysis on day 9.
For neuronal, astroglial or oligodendroglial differentiation of late passages, E- RG rosettes were passaged through mechanical splitting till Day 80 or Day 220 with FGF2/EGF and BDNF. Either sorted GFP+ and GFP- populations (L-RG stage) or unsorted cells (LNP stage) were replated at high density and differentiated for 14 days in the presence of AA and BDNF for neuronal progeny, with 5% Fetal Bovine Serum (FBS) (Invitrogen) for astrocytic progeny, or with AA, BDNF, SHH C25II (100 ng/ml) and FGF8 for oligodendrocytic progeny according to the inventors' previous protocol (Lafaille, F. G. et al. Impaired intrinsic immunity to HSV-1 in human iPSC-derived TLR3-deficient CNS cells. Nature 491, 769-773, 2012).
Acute lineage analysis - Neuroectodermal progenitors reaching the NE stage
(day 12) using the LNSB/Matrigel™ protocol were separated into HES5+ and HES5- populations, and these were replated, and either immediately fixed and analyzed for cell fate / proliferation markers by immunostaining, or maintained for another passage as separate populations till reaching the E-RG stage. Then, these NE derived HES5+ and HES5- cell populations were again separated to newly bom HES5+ and HES5- cells, thus creating four distinct lineage related populations. These were either acutely analyzed or further maintained till the end of the passage and then again analyzed. All analyses were performed 2 hours after replating. For BrdU labeling, BrdU (30 μΜ) was added to cells for 1 hour at the second hour following replating, following which cells were subjected to fixation and analyzed.
Immunostaining and confocal imaging - Cells were fixed in 4% paraformaldehyde, 0.15% picric acid, permeabilized and blocked with PBS, 1% FBS and 0.3% Triton solution, and stained with indicated primary antibodies (see below) followed by AlexaFluor secondary antibodies (Invitrogen). Cells were imaged in phosphate buffered saline (PBS) after staining. All cell imaging was carried out in 24 well glass bottom plates (In Vitro scientific). Fluorescence images were obtained using a confocal microscope LSM710 (Carl Zeiss Microimaging, Germany). The confocal and time-lapse images were captured using a lOx and a 20x objectives (NA = 0.3, 0.8 respectively, Plan-Apochromat). Fluorescence emissions resulting from Ar 488 nm, 543 nm and 633 nm laser lines for EGFP, CY3 and CY5, respectively, were detected using filter sets supplied by the manufacturer. For DAPI detection the mode-locked TkSapphire, fentosecond pulsed, multiphoton laser (Chameleon Ultra II, Coherent, Inc.) at a wavelength of 720 nm was used. For live imaging, cultured cells were maintained on the microscope stage in a temperature, C02, and humidity-controlled environmental chamber. Time-lapse green fluorescent protein (GFP) and matched Phase contrast images were acquired using Nikon Eclipse Ti-E microscope every 5 minutes for approximately 4 hours. Images and movies were generated and analyzed using the Zeiss ZEN 2011 software (Carl Zeiss, Inc.) and NIS elements (Nikon), respectively. All images were exported in TIF and their contrast and brightness were optimized in Adobe Photoshop under the same settings per each marker across all stages and as well as across HES5+ and HES5+ populations.
Neuronal output level quantification was performed by marker/DAPI ratio calculation and statistics of the entire cells in at least two (mostly three) independently taken images for a one representative experiment performed in parallel for all differentiation markers and across all stages. Note that counting is affected also by cells with positive but weak marker appearance, depending on stage examined and epitope tested (such as RELN). Additional quantitative aspects are shown in the quantitative PCR (qPCR) charts for all genes across HES5+ and HES5- and across all stages in Figures 11A-K.
Antibody list - Antibodies for CTIP2 (abl8465, 1:500), CUX1 (ab54583, 1:500), PE-conjugated anti EGFR (ab231, 1:50), LGALSl (ab25138, 1:1000), Lm28 (ab46020, 1:1000), PHH3 (ab5176, 1:250), PLZF (ab 104854, 1:100), POU3F2 (ab94977, 1:1000), SATB2 (ab51502, 1 :50), SOX1 (1:1000), SOX2 (ab79351, 1:500), TBR1 (ab31940, 1:200), TBR2 (ab23345, 1:200) were from Abeam. Antibodies for BrdU (347580, 50 μΐ/test), KI67 (556003, 1 :1000), phycoerythrin-conjugated SSEA-3 (560237, 20 μΐ/test), Alexa Fluor 647-conjugated TRA-1- 60-647 (560850, 5 μΐ/test), Alexa Fluor 647-conjugated TUJ1 (560340, 1 :500) were from BD Biosciences. Antibodies for DCX (AB2253, 1:5000), 04 (MAB345, 1:25), RELN (MAB5364, 1:200), Tyrosine Hydroxylase (AB152, 1:500) were purchased from Millipore. Antibodies for FABP7 (51010-1-AP, 1:100), S100B (15146-1-AP, 1:100) were from ProteinTech. Antibodies for ΑΡ2α (3B5 concentrated, 1:100) and PAX6 (supernatant, 1:16) were from DSHB. Antibody for NESTIN (MO15012, 1:500) was from Neuromics. Antibody for GFAP (Z0334, 1:2000) was from DAKO. Antibody for β-3- Tubulin (PRB-435P, 1:1000) was from Covance. Antibody for GLAST (ACSA-1) (130- 095-822, 1:10) was from Miltenyi Biotec.
Quantitative PCR (qPCR) analysis - RNA was extracted using miRNeasy kit (Qiagene) followed by Maxima reverse transcription reaction kit (Fermentas). 1 ng (nanogram) of cDNA was subjected to qPCR using the primers depicted hereinbelow, ABsoluteTM QPCR SYBR® Green ROX Mix (ABgene) and ViiA-7 cycler (ABI). Threshold cycle values were determined in triplicates and presented as average compared to HPRT. Fold changes were calculated using the 2-ACT method. For reverse transcriptase (RT)-PCR data evaluation for Figures 3B-D, RT- PCR data was collected in triplicates, log2 transformed and normalized to HPRT. Mean normalized expression values were then normalized to 1 across all differentiation stages of HES5+ and HES5- for each gene separately to reflect the relative expression across stages. Finally, gene expression levels were normalized to 1 for each stage to also reflect the relative abundance of each gene in each stage. The resulting values were grouped into markers for deep layer neurons TBR/RELN and CTIP/FEZF2; and upper layer neurons CUX1/CUX2/S ATB2 and displayed in pie charts and bars as shown in Figures 3B and 3C, respectively.
Primer set list (all for human genes) - BRN1 (POU3F3) Forward, 5'- TGGACTCAACAGCCACGAC -3' (SEQ ID NO:l) and Reverse 5'- CTTG AACTGCTTGGCG AAC-3 ' (SEQ ID NO:2); BRN2 (POU3F2) Forward, 5'- TGTATGGCAACGTGTTCTCG-3 ' (SEQ ID NO:3) and Reverse 5'- CCTCCTCCAACCACTTGTTC-3' (SEQ ID NO:4); CTIP2 Forward, 5'- TCC AGAGC A ATCTC ATCGTG-3 ' (SEQ ID NO:5) and Reverse 5'- GC ATGTGCGTCTTC ATGTG-3 ' (SEQ ID NO:6); CUX1 Forward, 5'- C AAC AAGG AATTTGCTGAAGTG-3 ' (SEQ ID NO:7) and Reverse 5 - CTATGGTTTCGGCTTGGTTC-3 ' (SEQ ID NO:8); CUX2 Forward, 5'- GAGCTGAGCATCCTGAAAGC- 3' (SEQ ID NO:9) and Reverse 5 - AGGCCTCCTTTGCAATAAGC-3 ' (SEQ ID NO:10); EGFR Forward, 5'- GAT AGTCGCCC AAAGTTCCGT-3 ' (SEQ ID NO: 11) and Reverse 5'- CTGAATGAC AAGGT AGCGCTG-3 ' (SEQ ID NO: 12); GFAP Forward, 5'- AG AGATCCGC ACGCAGT ATG-3 ' (SEQ ID NO: 13) and Reverse 5'- TCTGC AAACTTGGAGCGGTA-3 ' (SEQ ID NO: 14); HES5 Forward, 5'- ACCAGCCCAACTCCAAGCT-3' (SEQ ID NO: 15) and Reverse 5'- GGCTTTGCTGTGCTTCAGGT A-3 ' (SEQ ID NO:16); HPRT Forward, 5'- TGACACTGGCAAAACAATGCA-3' (SEQ ID NO: 17) and Reverse 5'- GGTCCTTTTCACCAGC A AGCT-3 ' (SEQ ID NO: 18); PLZF Forward, 5'- CCTTTGTCTGTGATC AGTGCG-3 ' (SEQ ID NO: 19) and Reverse 5'- CAGTGCCAGTATGGGTCTGC-3 ' (SEQ ID NO:20); RELN Forward, 5'- AATGCCGTC ACCTTCTGTG-3 ' (SEQ ID NO:21) and Reverse 5'- GGAGGAC AGA AGCTGTTGTTG-3 ' (SEQ ID NO:22); SlOO Forward, 5'- GGAAATC AA AG AGC AGGAGGTT-3 ' (SEQ ID NO:23) and Reverse 5'- TCCTGGAAGTCACATTCGCC-3 ' (SEQ ID NO:24); SATB2 Forward, 5'- TAGCC AAAG AATGCCCTCTC-3 ' (SEQ ID NO:25) and Reverse 5'- AAACTCCTGGC ACTTGGTTG-3 ' (SEQ ID NO:26); TBR1 Forward, 5'- GTCACCGCCTACCAGAACAC-3' (SEQ ID NO:27) and Reverse 5'- ACAGCCGGTGT AGATCGTG-3 ' (SEQ ID NO: 28); TBR2 Forward, 5'- AGCCGAC AATAAC ATGCAGGG-3 ' (SEQ ID NO:29) and Reverse 5'- TCCTGTCTC ATCC AGTGGGA-3 ' (SEQ ID NO:30); TH Forward, 5'- CCTCGGATGAGGA AATTGAG-3 ' (SEQ ID NO:31) and Reverse 5'- TCTGCTTACACAGCCCGAAC -3' (SEQ ID NO:32).
Fluorescent activated cell sorting (FACS) - Cell sorting was performed using ARIA flow cytometer (Beckton Dickinson). NE cells were dissociated with collagenase II (2.5 mg/ml), Collagenase IV (2.5 mg/ml) and DNAse (10 mg/nil) (all from Worthington) solution (37°C, 20 minutes). E-RG and subsequent stages were dissociated either with Accutase (37°C, 15 minutes) or Ca+2/Mg+2 free HBSS (RT, 1 hour). All stages were FACS sorted to GFP+ and GFP- gated populations following exclusion of dead cells with DAPI. L-RG and LNP stages were also analyzed for EGFR abundance. Undifferentiated hESCs were sorted for the pluripotency markers Tra-1-60 and SSEA-4. Microarray data processingand analysis - For all array hybridizations, GeneChip Prime View Human Arrays were used and deposited in GEO. (GEO# TBD). Normalized log2 transformed probe level intensities were collapsed onto MGI gene symbols yielding 19,448 gene level measurements. Next, genes were filtered for a minimum log2 change of 1 or greater across between any pair of samples as well as a minimum log! expression level of 3 or greater in at least one sample. The results yielded 6371 gene entries, which are listed in Supplementary Data 6, which is fully incorporated herein by reference in its entirety.
Stage Wise Clustering - To get a high-resolution view of the underlying dynamics and evaluate the distinct expression patterns, the present inventors performed clustering kmeans (k=100) (n=26) on the time series of the positive samples based on a set of 8 predefined patterns. The expression patterns were defined based on all possibilities of gene up-regulation between consecutive differentiation stages, e.g. up- regulated from hESCs to NE, but down in E-RG, up- regulated from hESCs to NE and not changing from NE to E-RG but down-regulated from E-RG to M-RG etc. Differential expression between two stages was defined as a minimum log2 expression change of 1 or greater. In total, the present inventors classified 496 genes, which are listed in Table 3, hereinbelow to follow one of these patterns. Subsequently, each cluster was subjected to gene set enrichment analysis. The results are shown in Figure 6A.
Notch active specific genes - Genes expressed in a stage specific fashion for HES5+ with respect to the HESS- populations and vice versa were determined by first clustering all time points using kmeans (k=100). Subsequently, hESC expression levels were subtracted from each stage. Next, HES5+ expression levels were divided by HES5- and vice versa. Next, the present inventors selected clusters that at the same time point (i) showed an average fold change exceeding 1.4 in one of the time points; and (ii) average fold changes that are lower than 1.2 in all remaining time points. Results are reported in Table 1 and 2, respectively and in Figure 4A.
Gene enrichment analysis - Stage specific obtained gene data sets were analyzed for enriched categories using Ingenuity Pathway Analysis (IP A) and selected resulting categories were plotted as heatmap (Figure 6B), or directly referred to within text. Chromatin immunoprecipitation followed by sequencing (ChIP Seq) - For the histone ChIP experiments, the present inventors used similar approaches to Garber M. et al. 2012 {Molecular cell 47: 810-822). Specifically, around 160.000 cells were crosslinked in 1% formaldehyde for 10 minutes at 37°C, followed by quenching with 125 mM glycine for 5 minutes at 37°C, washed with PBS containing protease inhibitor (Roche, 04693159001) and flash frozen in liquid nitrogen. To lyse the cells, the present inventors used 1% SDS, 10 mM EDTA and 50 mM Tris-HCl pH 8.1 complemented with protease inhibitor. The chromatin was then fragmented with a Branson Sonifier (model S-450D) at 4°C, calibrated to a size range of 200 and 800 bp. Chromatin was mixed with antibody and incubated at 4°C overnight. Protein-A and Protein-G Dynabeads were added to chromatin/antibody mix (Invitrogen, 100-02D andl00-07D, respectively) and incubated for 1-2 hours at 4°C. Samples were washed 6 times with RIPA buffer (10 mM Tris-HCl pH 8.0, 1 mM EDTA pH 8.0, 14 mM NaCl, 1% TritonX- 100, 0.1% SDS, 0.1% DOC), twice with RIPA buffer containing 500 mM NaCl, twice with LiCl buffer (10 mM TE, 250 mM: LiCl, 0.5% NP-40, 0.5% DOC), twice with TE (10 mM Tris-HCl pH 8.0, 1 mM EDTA), and then eluted in elution buffer (10 mM Tris- Cl pH 8.0, 5 mM EDTA, 300 mM NaCl, 0.1 % SDS; pH 8.0) at 65°C. Eluate was treated with RNaseA (Roche, 11119915001) and Proteinase K (NEB, P8102S) overnight at 65°C.
For the OTX2 ChIP cells were collected and crosslinked in 1% formaldehyde for
15 minutes on ice, quenched with 125 mM glycine for 5 minutes at room temperature and pelleted. Nuclei were then isolated and chromatin was digested at 37 °C with MNase enzyme until the majority of the DNA was between 50 and 800 bp. Specifically, 25 U and 35 U of MNase enzyme were used to digest NE cells and RNS/RG cells, respectively. The chromatin was then incubated with the antibodies over night at 4°C and co-immunoprecipitation of antibody-protein complexes was performed with Protein A or G beads for 1-2 hours at 4°C.
ChlP-Seq library preparation and sequencing - To extract DNA and create the Alumina libraries the present inventors used Solid-Phase Reversible Immobilization (SPRI) beads. The SPRI beads were added to the samples, mixed 15 times, incubated for 2 minutes at room temperature. Supernatant was extracted from the beads on a magnet (4 minutes). 70% ethanol was used to wash the beads and then dried for another 4 minutes. 40 μΐ EB buffer (10 niM Tris-HCl pH 8.0) was used to elute the DNA. The next steps of Mumina library construction include end-repair, addition of A-base, ligation of barcoded adaptors and PCR enrichment. To minimize the loss of ChIP material throughout this procedure, the present inventors used a general SPRI cleanup procedure after each reaction step reusing the same beads. PEG buffer (20% PEG and 2.5 M NaCl) was used to re- bind chIP material to SPRI following each reaction, and washing and extraction occurred as stated above. The enzymatic reactions were carried as follows: (1). DNA end-repair: Epicenter End-ΓΤ Repair kit incubated at room temperature for 45 minutes. (2). A-base addition: Klenow (3'->5' exonuclease; New England Biolabs) incubated at 37°C for 30 minutes. (3). Adaptor ligation: DNA ligase (New England Biolabs) and indexed oligo adaptors and incubated 25°C for 15 minutes, followed by 0.7X SPRI/reaction to remove non-ligated adaptors. (4). PCR enrichment: PCR mastermix (primer set, dNTP mix, Pfu Ultra Buffer (Agilent), Pfu Ultra-Π Fusion (Agilent), water), for 20 cycles. The PCR amplified libraries were cleaned up using 0.7X SPRI/reaction (size selection mode) to remove excessive primers. Roughly 5 picomoles of DNA library was then applied to each lane of the flow cell and sequenced on Alumina HiSeq 2000 sequencers according to standard Illumina protocols.
For the OTX2 ChIP, DNA libraries were constructed using standard Illumina protocols for blunt-ending, polyA extension, and ligation. MyOne Silane beads (Life Technologies 37002D), were used to purify DNA fragments following each step of the library preparation. Adapter ligation was performed overnight at 16°C. Ligated DNA was then PCR amplified and gel size selected for fragments between 150 and 700 bp. Samples were sequenced using Illumina HiSeq at a target sequencing depth of 20 million uniquely aligned reads.
Strand Specific RNA-Sequencing Library Construction - RNA was extracted using the miRNeasy kit (Qiagen, 217004). Poly(A) RNA was isolated using Oligo d (T25) beads (NEB, E7490L). The Poly(A) fraction was then fragmented (Invitrogen, AM8740). Fragments smaller than 200 bps were eliminated (Zymo, R1016) and the remaining fraction was treated with FastAP Thermosensitive Alkaline Phosphatase (Thermo Scientific, EF0652) and T4 Polynucleotide Kinase (NEB, M0201L). RNA was then ligated to a RNA adaptor as reporter previously [Engreitz, J. M. et al. Science 341 : 1237973, (2013)] using T4 RNA Ligase 1 (NEB, M0204L), which was then used to facilitate cDNA synthesis using Affinity Script Multiple Temperature Reverse Transcriptase (Agilent, 600105). More specifically, the following adaptors reported in Engreitz, J. M. et al. 2013 were used:
RNA sequencing - RiL-19 3' RNA adaptor:
Phosphate/rArGrArUrCrGrGrArArGrArGrCrGrUrCrGrUrG/ddC (SEQ ID NO: 33); RNA sequencing - AR17 RT primer: ACACGACGCTCTTCCGA (SEQ ID NO: 34); RNA sequencing - 3Tr3 5' DNA adaptor:
/Phosphate/ AGATCGGAAGAGCACACGTCTG/ddC (SEQ ID NO: 35);
RNA sequencing - PCR enrichment:
AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTC CGATCTCAAGCAGAAGACGGCATACGAGATNNNNNNNNGTGACTGGAGTTC AGACGTGTGCTCTTCCGATCT (SEQ ID NO: 36).
RNA was then degraded and the cDNA was ligated to a DNA adaptor using T4 RNA Ligase 1 as described in Engreitz, J. M. et al. 2013. Final library amplification was completed using NEB Next High Fidelity 2X PCT Master Mix (M054L). To clean up the final PCR and removed adapter dimers, two subsequent IX and 8X SPRI reactions were completed to prepare the final library for sequencing.
Pooled shRNA (short hairpin RNA) screen - The present inventors selected 244 transcription factors and epigenetic modifiers that were differentially or continuously highly expressed during the in vitro differentiation time course in an otherwise unbiased fashion (Supplementary data 4, which is fully incorporated herein by reference in its entirety). In addition, the present inventors included GFP, RFP, lacZ and luciferase as internal controls. A sub-pool of the human 45K shRNA pool [Luo, B. et al. Proc. Natl. Acad. Sci. USA 105: 20380-20385, 2008] distributed by the Broad Institute Genomic Perturbations Platform and the RNAi Consortium (TRC) against these genes. For each gene, 5 distinct shRNAs were included as well as 5 scrambled and 3 empty control vectors, amounting to a total of 1230+8 shRNAs. The plasmid for shRNA expression under the control of the constitutive U6 shRNA promoter was the lentiviral vector pL O.l. shRNA pool production and infection conditions were performed as previously described [Luo, B. et al. 2008]. Subsequently, the present inventors performed calibration experiments to determine to optimal combination of MOI (multiplicity of infection) and Puromyocin concentration to ensure efficient selection. The present inventors identified MOI 0.4 and 1 μ§/πι1 of Puromycin as optimal parameters for all stages. The, 26 million cells were infected at each stage of NE, ERG and MRG to ensure sufficient shRNA integration events to recover the complexity of the shRNA library. 24 hours post infection and prior to full expression but after integration of the lentivirus into the genome 3 million cells were collected to determine the baseline shRNA library representation. Subsequently, the cells were subjected to 5 days of Puromycin selection and then FACS sorted the resulting populations into HES5+ and HES5- compartments. Next, the representation of the shRNA library in each of the 9 populations was assessed by retrieving all shRNA integration events from genomic DNA isolated from each sample using PCR followed by next generation sequencing as previously described [Strezoska, Z. et al. PLoS One 7, e42341, (2012)]. More specifically, two rounds of PCR were performed using the following primers for the primary PCR: Primary R:CTTTAGTTTGTATGTCTGTTGCTATTAT (SEQ ID NO: 37); Primary F: AATGGACTATCATATGCTTACCGTAAC (SEQ ID NO: 38). For the second, nested PCR the following primers were used:
Nested F: GGCTTTATATATCTTGTGGAAAGGA (SEQ ID NO: 39) Nested R: GGATGAATACTGCCATTTGTCTC (SEQ ID NO: 40). Next, standard Illumina sequencing library construction was performed as outlined above for 4 technical replicates for NE and MRG and 3 technical replicates for ERG, each comprising HES5+, HES5- and 24 hours control, amounting to a total of 33 libraries. These amplicon libraries were then sequenced on a HiSeq2500 with a PhiX spike in of 25%.
Individual shRNA validation for OTX2 and PAX6 - RNA was extracted using miRNeasy kit followed by Maxima reverse transcription reaction kit (Fermentas). 1 ng of cDNA was subjected to qPCR using designed primers and the ABsolute QPCR SYBR Green ROX Mix (ABgene) on a ViiA-7 cycler (ABI). Threshold cycle values were determined in triplicates and presented as average compared to HPRT. Fold changes were calculated using the 2-ACT method.
WGBS and RRBS library production - WGBS libraries were generated as previously described in Gifford, C. A. et al. 2013 (Cell 153: 1149-1163). RRBS was carried out using the multiplexed, gel free protocol described in Boyle, P. et al. 2012 (Genome Biol 13: R92). Data processing - For RNA-Seq data processing, reads were trimmed to 80, 60 or 30 bp depending on their per-base quality distribution in order to achieve maximum alignment rates. Reads were mapped to the human genome (hgl9) using TopHat v2.0 (Trapnell, C, et al., 2009. Bioinformatics 25: 1105-1111) (tophat(dot) cbcb (dot)umd (dot) edu) employing the unfiltered gencode.vl9.annotation.gtf annotation as the transcriptome reference. TopHat was run with default parameters except for the coverage search being turned off. Transcript expression was estimated with Cuffdiff 2 (Trapnell, C. et al. 2013). The workflow used to analyze the data is described in detail in Trapnell et al. (2012) (alternate protocol B).
WGBS libraries were aligned using BSMap 2.7 (Ref reference assembly.
Subsequently, CpG methylation calls were made using custom software as previously described (Ziller, M. J. et al., 2013) excluding duplicate, low-quality reads as well as reads with more than 10% mismatches. Only CpGs with more than 5x coverage were considered for further analysis. ChlP-Seq data were aligned to the hgl9/GRCh37 reference genome using MAQ35 version 0.7.1 with default parameter settings or Bowtie 2 version 2.05 (Langmead, B. & Salzberg, S. L. 2012). Reads were filtered for duplicates and extended by 200 bp at the end of the read. Visualization of read count data was performed by converting raw bam files to .tdf files using IGV tools (Thorvaldsdottir, H., et al., 2012) and normalizing to 1 million reads. Fragment length extended, duplicate and quality-filtered reads were used for subsequent analysis.
shRNA screen data analysis - For the screen data analysis, the protocol outlined by Dai et al. (Dai, Z. et al. 2014) was followed employing the R package limma (Smyth, G. K. 2005). First, the number of times each shRNA was observed in each library was extracted and counted using the shRNA sequence as barcode and the R function processHairpinReads. Next, the shRNA counts were normalized to the total number of reads observed harboring a shRNA to counts per million (cpm) and retained only those shRNAs with more than 0.5 cpm in more than 2 samples. After further QC showing excellent reproducibility (Figures 17A-D and 22F), differential shRNA count analysis was performed between the HES5+ and 24 hour control and the HES5+ and HES5- populations for each stage. To that end the dispersion for each condition was estimated and then a negative binomial generalized linear model using the R package edger was fitted. The likelihood ratio test was conducted for each contrast and only retain those shRNAs as differentially enriched at a FDR<0.05. To determine genes with significant positive or negative impact on HES5+ maintenance or cell survival, all genes that were targeted by at least two independent shRNAs which showed a significant effect (FDR<0.05) in the same direction were determined. A mean effect score was computed in order to rank genes by computing the weighted mean of the log fold change between the two conditions weighted by the log cpm across all significant shRNAs and targeting a particular gene with an effect in the same direction. If an equal number of shRNAs showed a significant effect in positive or negative direction, the gene was classified as not significantly affected. Otherwise the effect direction was chosen based on the majority of the shRNAs. The results from the HES5+ to 24 hour control and HES5- comparison was combined into one by taking the maximum mean effect score observed in either comparison. The resulting mean effect scores are then used for visualization and analysis purposes in main text and figures and are reported in Supplementary data 3, which is fully incorporated herein by reference in its entirety. In addition, an empirical FDR was calculated by determining the fraction of shRNAs with a statistical significant effect based on the generalized linear model but were not expressed based on the RNA- Seq data for the condition where the significant effect was observed.
For the TERA validation analysis, all motifs were ranked according to their TERA scores at each stage. Next, motifs that were not associated with at least one TF that was covered in the screen design were filtered out. The fraction of top 20 motifs (by absolute TERA values) that were linked to TFs which showed a significant effect in the corresponding stage specific shRNA screen were determined. This number is reported as the percentage of motifs recovered. Only motif- knockdown results that have a straightforward interpretation were considered as hits. These include: 1. positive TERA score and positive depletion score (gene is involved HES5+ maintenance, progression or cell survival); 2. negative TERA score and negative depletion score (impedes HES5+ maintenance, progression or apoptosis); 3. negative TERA score and positive depletion score (gene is involved HES5+ maintenance, progression or cell survival but most likely acts as a repressor by causing H3K27ac or H3 4me3/l loss). For the comparison with the expression based analysis, all significantly differentially expressed genes were ranked by their absolute fold change and determined the fraction of top 20 TFs observed among the differentially enriched shRNAs in the screen. Differential expression analysis - Differential expression analysis was carried out using Cuffidff 2 (Trapnell, C. et al. 2013) and genes differentially expressed at a FDR < 0.1 for each comparison and a minimal expression level of 1 FPKM in at least one of the conditions were considered. Clustering analysis was performed using the csCluster function in the cwnmeRbundAO package version 2.6.1 compbio (dot) mit (dot) edu/cummeRbund/) with the Jensen-Shannon distance as metric. The number of clusters for the NPC set (ESC, NE, ERG, MRG, LRG) and the differentiated populations (NEdN, ERGdN, MRGdN, LRGdA) was determined as the number of clusters between 10 and 20 with the minimum average silhouette width across all clusters. Subsequently, a pseudocount of 1 was added to all FPKM counts followed by a log2 transformation. The resulting values were used for all further expression analysis.
ChlP-Seq data analysis and normalization - For H3K27ac and H3K4me3 histone marks, the Irreproducible Discovery Rate (IDR) framework41 with a cutoff of 0.1 in combination with the MACS242 peak caller version 2.1 was used to identify peaks taking advantage of both replicates for each condition. For M ACS2 peak calling, an initial p-value cutoff of 0.01 was used and the corresponding whole cell extract (WCE) control library was used as background. All IDR peak sets can be obtained from GEO under GSE62193.
For the broad histone marks H3K27me3 and H3K4mel, all 1 kb tiles of the human genome (hgl9) that were significantly enriched over background in at least one of the replicates were determined. To that end a Poisson model43 with the WCE was used as background to model the fragment count distribution in each genomic. To that end a nominal p-value was defined for enrichment within a given region i in sample k harboring rik ChIP fragments compared to the WCE control sample I with ril ChIP fragments as P(C> rik) where (Mikkelsen, T. S. et al, 2010):
Formula 1 (Figure 26 A).
and eil - ril / λΐ, kk - (region size) x (total number of ChIP fragments in sample k)/(corrected genome size), λΙ= (region size) x (total number of ChIP fragments in sample l)/(corrected genome size). In order to account for regions with no/minimal WCE read counts due to sampling, eil= max(eil,l) were chosen. Resulting p-values were adjusted for multiple testing using the Benjamini- Hochberg (Benjamini, Y. & Hochberg, Y., 1995) correction and the q-value R package (Alan Dabney, J. D. S. a. w. a. f. G. R. W. Q-value estimation for false discovery rate control. R package version 1.34.0.)· Only regions significant at a q-value < 0.05 and with an enrichment level over background > 1.5 were considered to be enriched.
For differential enrichment analysis of histone marks between consecutive conditions, the R-package diffBind (Ross-Innes, C. S. et al. 2012) was used. To normalize read counts, the effective library size was used, counting only reads in peak regions (either the IDR peaks for H3K27ac, H3K4me3 or the enriched lkb tiles for H3K27me3 or H3K4mel). The differential analysis was then conducted using the DBA_DESEQ2 method, taking full advantage of both replicates per condition with the bTagwise parameter set to true. Only regions differentially between consecutive conditions at a p-value of 0.05 were reported.
In addition, a union peak set for each mark was created separately by joining overlapping peaks/enriched regions in preparation for the transcription factor epigenetic remodeling activity (TERA) analysis. For H3K4mel, the enrichment over the union of all H3K27ac regions was computed since the focus was on well more sharply defined promoter and putative enhancer regions for this mark. For H3K27ac, the focus was on distal regions only (>lkb of nearest TSS) since the present inventors were specifically interested in putative enhancer regions for this mark. For H3K4me3, the present inventors used the union of all H3K4me3 IDR based peaks regardless of distance, accounting for most promoters and CpG islands. Then the present inventors determined the enrichment level for all regions in the union set in each replicate across all marks separately. Region enrichment was computed as follows: First, the number of tag counts in each region was determined and normalized to reads per kilobase per million reads (RPKM) sequenced using the full library size of non-duplicate reads. Next, RPKM read counts were divided by the mean RPKM counts across all WCE libraries. Subsequently, the resulting enrichment levels were log2 transformed after adding a pseudo enrichment of 1. Finally, the resulting enrichment values were quantile normalized across the entire dataset for each mark separately. The resulting values were then average across replicates to obtain a region x condition normalized enrichment matrix. The resulting matrix was used as input for the TERA analysis. The present inventors tested several ChIP normalization strategies by assessing between replicate correlation and between condition discriminative power on a large dataset of 70 REMC (roadmap epigenomics mapping consortium) H3K27ac samples and identified this strategy as best performing one.
Footprinting detection - To determine small regions depleted of histone modifications but surrounded by regions of much greater enrichment, termed footprints, the present inventors extended an approach used for the analysis of DNAse I HS data (Neph, S. et al. 2012). The footprints identification algorithm consisted of three main phases: In the first phase, the present inventors identify peaks using the IDR framework (see previous section) for H3K27ac and H3K4me3 and use these as baseline regions in which footprints could be detected. In the second phase, the present inventors identified footprints located within/around peak regions in the following manner:
1. For each peak, extend by 400 bp from apex in either direction;
2. Split entire resulting region into bins of size 20 bp;
3. Compute number of RPKM counts for a central sliding window across the entire region (shifting by increments of one bin) for different window sizes ranging from two bins to ten bins in increments of one;
4. For each position of the central window and for each window size, compute the following three quantities: Cij - RPKM count for central window at current position i and window size j, Rij - RPKM count for a 200 bp stretch directly to the right of the central window and Lij - RPKM count for a 200 bp stretch directly to the left of the central window;
5. For each resulting position i and window size j compute the depletion score:
Formula 2 (Figure 26B)
With the footprint size normalization factor/ = s/b, with s the size of the central window and b the size of the border regions;
6. Identify non-overlapping, non-adjacent footprint candidates starting from
small to larger central window sizes and recording footprint candidate iff eij >0&eij<l&Lij >Cij&Rij >Cij followed by removing all other potential footprints (central window+borders) of larger size overlapping the current candidate;
7. Finally, all resulting candidate footprints with a footprinting score eij <0.9 were reported.
The latter procedure was carried out for H3K27ac and H3K4me3 independently for each sample. Subsequently, the present inventors merged all footprints from individual samples into consensus footprints set for each epigenetic mark separately, collapsing overlapping footprints by taking the union of all regions with non-zero overlap.
DMR detection - DMR detection was carried out as previously described with slight modifications (Gifford, C. A. et al. 2013). Pairwise comparisons of consecutive samples (hESC, NE, ERG, MRG, LRG, LNP) were carried out on a single CpG level using a beta-binomial model and the beta difference distribution requiring a maximum q- value below 0.05 and an absolute methylation difference greater than 0.1. q-values were computed based on beta-binomial model p-values using Benjamini-Hochberg 1995 method. Only CpGs covered by at least 5 reads in either sample were considered. Subsequently, differentially methylated CpGs within 500 bp were merged into discrete regions. Differential CpGs without neighbors were embedded into a 100 bp region surrounding each CpG. Next, differential methylation analysis was repeated on the region level using a random effects model. Only regions significant at q-value below 0.01, an absolute methylation difference above 0.2 and harboring at least 2 differentially methylated CpGs were considered differentially methylated and used for subsequent analysis. For the DNA methylation analysis in the context of the TERA framework, the present inventors restricted the analysis to DMRs consistently covered across all conditions, including those only assessed by RRBS. This left us with 7,929 regions.
Gene set enrichment analysis - Gene set enrichment analysis for genomic regions was carried out using the GREAT toolbox (McLean, C. Y. et al. 2010) and only categories with q-values < 0.05 for both the hypergeometric and the binomial test as well as a minimal region enrichment level greater than 2 were considered, following the GREAT recommendations. Due to the large number of enriched gene sets, a selected subset of the results is shown in the different figures. In addition, the present inventors utilized the Allen Brain atlas (Thompson, C. L. et al. 2014) to determine enrichment for distinct brain structures and developmental time points. To that end the present inventors derived gene sets from the Brain atlas data in the following fashion:
The present inventors obtained in situ hybridization counts for the developing mouse brain at 7 distinct fetal time points and 11 different brain substructures through direct correspondence with alleninstitute.org. Specifically, the present inventors investigated the following structures and time points: Rostral secondary prosencephalone (RSP), Telencephalon (Tel), peduncular (caudal) hypothalamus (PHy), Hypothalamus (p3), pre-thalamus (p2), pre-tectum (pi), midbrain (M), prepontine hindbrain (PPH), pontine hindbrain (PH), pontomedullary hindbrain (PMH), medullary hindbrain (MH); and embryonic (E)11.5, E13.5, E15.5, E18.5 as well postnatal P4, P14 and P28. In total, the present inventors had 14,585 measurements for 2,105 different genes across these different regions and time points. In order to define sets of genes characteristic for each combination of time point and structure, the present inventors computed the z-scores as well as the maximum observed variation for each gene across the entire matrix of structure and developmental time point combinations. Only genes that exhibited a maximum observed variation (maximum activity - minimum activity) > 1 were considered for gene set definition. Next, all mouse genes were mapped to their human orthologs using the biomaRt database. Finally, gene sets for each region-time point combination was defined using genes that exhibited a z-score > 2 in that particular combination. Since the Allen brain atlas gene sets are defined for each developmental time point and regional identity, the visualization was simplified by focusing either exclusively on structures or developmental time points. Therefore, the gene set with the maximum gene set activity was determined at each differentiation stage across all gene sets associated with distinct developmental time points for each structure separately. Similarly, the gene set with maximum activity for each developmental time point the present inventors determined taking the maximum across all structures at each stage. The gene set activity was determined as the mean log2 transformed expression level of all gene set members in for each condition.
Motif library construction and mapping to transcription factors - The present inventors combined the position weight matrices from Transfac professional database (Fogel, G. B. et al. 2005) with the PWM collection reported in Jolma et al. (Jolma, A. et al. 2013), only retaining motifs annotated for homo sapiens or mouse. To eliminate redundant motifs, the present inventors determined pairwise motif similarities for all resulting 1,886 PWMs using the TOMTOM (Gupta, S., et al., 2007) program which is part of the MEME (Bailey, T. L., et al., 2006) suite with default parameters. Next, a pseudo-distance matrix was compiled based on the resulting pairwise motif similarities. As a proxy for motif similarity, the present inventors used the log 10 transformed TOMTOM q-value which was capped at 10. To convert the resulting motif similarities into a distance matrix, the present inventors inverted the scale by subtracting the transformed q-values from 10. Then, the resulting matrix was used to perform hierarchical clustering with Euclidean distance and Ward's method. Finally, the present inventors employed the cutree function with a threshold of 7 to partition the resulting clustering dendrogram into discrete clusters of motifs. For each cluster, the present inventors then determined the motif with the highest complexity based on the relative entropy compared to a genome background model with the following base frequencies: A=0.2725, C=0.189, G= 0.189,T= 0.2728. Only motifs with a relative entropy greater or equal than 8 were retained for subsequent analysis. After identification of the candidate with the highest complexity for each motif cluster, the present inventors assigned all genes mapping to any motif in each corresponding cluster to the cluster representative motif. This lead to a final motif list of 557 motifs. In order to obtain a more quantitative association of each motif with its linked genes, the present inventors computed the ETFA (epigenetic transcription factor activity) scores across 70 REMC H3K27ac or H3K4me3 cell types and correlated the results with RNA-Seq expression data across 40 cell types. This analysis gave rise to a correlation matrix containing the pearson correlation coefficient of each motif with its linked genes. This matrix was used in combination with the plain gene mapping reported in primary motif sources. For Figure 16B, the present inventors uniquely map each motif to a corresponding linked gene by computing an association score as the product of the absolute pearson correlation coefficient and the average gene expression level of the corresponding gene. Then, the present inventors chose the gene with the highest association score. For motifs without an entry in the H3K27ac correlation matrix (due to the inability to determine suitable GEV parameters on the REMC dataset), the present inventors chose the gene with the highest gene expression level. In Figure 16B, only genes expressed with at least 10 FKPM in the respective condition are considered. Then, the present inventors report the top 35 genes for each condition, where TERA scores of motifs mapping the same gene were averaged.
In Figures 18A-E and 19A-B, the present inventors incorporate the results of the shRNA screen to uniquely map motifs apply the aforementioned mapping strategy only on the genes identified as hits. If it does not map to any gene hit by the screen, the present inventors use the standard assignment strategy outlined above. Identification of putative transcription factor binding sites - In order to determine putative binding sites in a given genomic region, the present inventors used a biophysical model of transcription factor affinities to DNA (Manke, T., et al., 2008; Manke, T., et al., 2010) to determine putative binding to the footprint sets. This biophysical model requires the training of generalized extreme value (GEV) distributions of binding affinities based on a PWM matrix for each transcription factor and each set of genomic regions in order to generate a suitable background model. In order to take the distinct properties of footprints determined from different epigenetic marks, the present inventors determined the GEV parameters for footprints arising from H3K27ac, H3K4me3 and DNAme using the framework outlined by Manke et al. (Manke, T., et al., 2008; Manke, T., et al., 2010). The resulting three binding matrices were then filtered for minimal significant binding affinity at p-values below 0.05. All other entries with higher p-values were set to one. Next, the present inventors took the negative log 10 of the entire matrix as a quantitative measure of binding affinity in subsequent analysis.
Inference of transcription factor activities based on epigenetic data - In order to infer transcription factor epigenetic remodeling activities (TERA), the present inventors first computed epigenetic transcription factor activities (ETFA) from the epigenetic data. To that end, the present inventors first focused on motif activity analysis and associated each motif in a second step with its corresponding transcription factor. For each epigenetic mark, the present inventors used the normalized epigenetic enrichment scores as well as DMRs with a minimal DNA methylation difference of at least 0.2 and covered consistently in all datasets. For the DNA methylation data, the present inventors inverted the scale to obtain de-methylation scores (1=fully de- methylated, 0=fully methylated) since usually the de-methylated states coincides with gene regulatory element activity. To determine the unobserved activity of a transcription factor binding motif, the present inventors took advantage of recent developments in the microarray field (Boulesteix, A. L. & Strimmer, K., 2005; Boulesteix, A. L. & Strimmer, K. 2007) and adapted this approach to epigenetic data. To that end the present inventors modeled the enrichment level yit of a particular epigenetic mark at genomic region ί and time point t as a linear function the unknown transcription factor activities. Considering p predictor variables (epigenetic motif/transcription factor activities -ETFA) and k time points the present inventors describe the unknown TFA X as a p x k matrix. Incorporating all regions n meeting the above listed criteria, the present inventors employ the linear model:
Y = A + BX + E
With the observed matrix of epigenetic enrichment scores Y (n x k), a constant offset matrix A (n x k), the connectivity matrix B (« x p), describing the filtered binding affinities for all transcription factor motifs to all regions and an error term matrix E. Subsequently, the present inventors followed the approach outlined by Boulesteix and Strimmer 2005 and applied partial least square (PLS) regression and specifically the SIMPLs algorithm (Dejong et al., 1993) to determine the unknown transcription factor motif activities. The idea in PLS is to employ a linear dimensionality reduction
T = BR
where the p predictors in X are mapped onto c < rank(X) < min(p,n) latent components T (n x c matrix) and to compute the weight matrix R not only based on the data matrix B but explicitly taking into account the response matrix Y. The latter strategy maximizes predictive power even for a small number of latent components.
In order to determine the number of latent components for each epigenetic mark and genomic context, the present inventors performed cross validation by randomly partitioning the dataset 20 times into 2/3 training and 1/3 test set. Then the number of components was chosen such that it minimized the prediction error. The corresponding analysis methodology was implemented in the statistical programming language R adapting the implementation provided by Boulesteix and Strimmer (Boulesteix, A. L. & Strimmer, K. 2005). To assess the significance of the resulting ETFA scores, a permutation test was performed by randomly permuting the epigenetic enrichment scores for each gene regulatory element and recomputed the ETFA values on the permuted values. This process is repeated 100 times. Positive ETFA scores are considered to be insignificant and set to 0 if a greater ETFA score is observed more than once on the randomly permuted set and vice versa for negative ETFA scores.
Finally, the TERA scores were determined by computing the differential ETFA scores between consecutive conditions. These scores were determined by subtracting ETFA scores of consecutive time points from each other. Subsequently, the significance of this difference using a permutation test by randomly permuting the epigenetic enrichment scores across all regions, re- computing the ETFA scores for each conditions and assessing the TERA score between consecutive conditions for each motif. Positive TERA scores are considered to be insignificant and set to 0 if a greater TERA score is observed more than once on the randomly permuted set and vice versa for negative TERA scores.
Co-binding analysis - Co-binding relationships were evaluated using an empirical approach with the entire set of footprints for each epigenetic mark as background. For a given factor i, the present inventors determined the footprints set Fi relevant for the current comparison (e.g. changing their epigenetic state in particular cell state transition) that were predicted to harbor a TFBS based on the binding model outlined above. Next, the present inventors computed the frequency of motif cooccurrence across Fi for all other motifs j in the database. To generate a proper null distribution, the present inventors randomly sampled K = 100 size standardized footprint sets Gk of cardinality IFil from the entire footprint collection for the epigenetic mark under study and computed the same test statistic
Figure imgf000103_0001
on these sets. Finally, the present inventors determined an empirical p-value and odds ratio based on these quantities by counting the number of instances for which
Figure imgf000103_0002
Formula 3 (Figure 26C)
Only co-binding relationships significant at p-value < 0.01 were retained.
Validation analysis on ENCODE data - To validate the outlined strategy in silico the present inventors took advantage of publically available transcription factor ChlP-Seq data in four cell lines from the ENCODE (Bernstein, B. E. et al. 2012) project as well as H3K27ac and RNA-Seq data for 70 cell types from the REMC project. The present inventors downloaded H3K27ac data as well as processed transcription factor binding data from the ENCODE project for the cell line K562 since abundant transcription factor binding data based on ChlP-Seq was available. In addition, this dataset has been successfully used in several studies to benchmark TF binding predictions (Sherwood, R. I. et al. 2014; Thurman, R. E. et al. 2012). The present inventors then applied the TERA-pipeline to the H3K27ac datasets and computed the TF-binding affinities for a set of 557 distinct motifs. With these datasets at hand, the present inventors computed the true positive rate (TPR), the false positive rate (FPR) and the positive predictive values (PPV) for all transcription factors that could be matched to at least one motif with available binding affinities (46/117). In the event that one factor matched multiple motifs, the present inventors chose the motif with the highest AUC.
GWAS analysis - The GWAS analysis was conducted using 11,027 GWAS SNPs from the GWAS catalog. For each footprint set, the present inventors sampled £=100 randomly selected, H3K27ac footprints determined across 57 epigenome roadmap datasets processed in the same fashion as the neural dataset. Next, the present inventors determined the overlap with GWAS SNPs for control and neural H3K27ac footprint sets. Subsequently, the present inventors computed an empirical p-value for each trait/disease / in the catalog by determining the number of trait associated SNPs sCij overlapping with each control region set Cj and the number overlapping with the corresponding footprint set si according to:
Formula 4 (Figure 26D)
Determination of core network - The core network was defined as those transcription factors that were differentially expressed during neural induction from ES cell to NE and not differentially expressed between consecutive stages of NE, ERG and MRG. The present inventors did not consider the LRG stage. Furthermore, the present inventors required that each factor was expressed at least 10 FPKM or more in NE, ERG and MRG and that it's mean normalized, maximum difference in expression levels between any of the stages did not exceed one standard deviation computed across the entire dataset of 9 cell types. In addition, the present inventors also considered genes that were not differentially expressed between any consecutive stages including the ESC stage but fulfilled all other criteria. This identification procedure gave rise to the candidate list of core factors. The present inventors then intersected this list with the results of the shRNA screen and retained only those factors that were significantly depleted in the HES5+ population relative to the respective HES5- or control population in at least two stages. Since the literature supported a role for PAX6 and OTX2 for which the shRNAs showed no effect due to the pooled setup or absent knockdown (Figures 17A-D), the present inventors included these genes as well. Finally, the present inventors merged this list will all TFs that were depleted in the shRNA screen at all 3 stages in the HES5+ population relative to the controls and were expressed at least at 10 FPKM or more in NE, ERG and MRG. This algorithm yielded a list of 22 transcription factors or epigenetic modifiers (Figure 18A). The present inventors then carried out co- binding analysis in H3K27ac footprints dynamically regulated at each stage in order to obtain putative stage specific co-binding relationships. To determine significant co- binding events, the present inventors used the permutation procedure outlined above and retained all co-binding partners with an odds-ratio > 1.5 that were significant at p<0.01 that were also identified as a significant hit in the shRNA screen at the particular stage under investigation.
Transcription factor binding site priming analysis - To determine transcription factors associated with transcription factor binding site priming prior to factor activation, the present inventors determined all transcription factors at each stage that were significantly up-regulated at the consecutive NPC time point or induced in the corresponding more differentiated cell type (q-value<0.1) and showed an increase in H3K4mel or DNAme derived TERA activity at the current stage under investigation. In addition, the present inventors required that the corresponding motif did not map to any TF that was expressed more than 2 FPKM at the current stage under investigation. From this list, the present inventors picked the pro-neural genes NEUROD4, ASCL2 and NFIX for further investigation due to their literature support for their pro-neural functions. Finally, the present inventors required that the potential downstream target genes were significantly enriched for differentially regulated genes at the next NPC stage or in the corresponding more differentiated cell types. To that end, the present inventors determined all putative transcription factor binding sites for a particular factor in dynamically regulated H3K27ac or H3 4mel footprints at the stage of potential priming. The present inventors then associated each of these putative binding sites with the nearest TSS and determined the number of differentially expressed genes for each factor. To assess significance, the present inventors randomly drew 100 sets of equally sized H3K27ac footprints with no motif of the factor under investigation and determined the number of differentially expressed genes for the subsequent stages. Only factors that exhibited more differentially expressed genes compared to the control sets in more than 99 % of the cases were retained.
Next, the present inventors performed co-binding analysis in H3K27ac peaks differentially regulated between the ES cell and NE stage as outlined above and display the top 10 co- binding relationships per factor with an odds-ratio > 1.5 that were significant at an permutation test based p<0.01 in Figure 19 A. EXAMPLE 1
NOTCH A CTIVATION LINKS MAJOR NEURAL LINEAGE TRANSITIONS
The present inventors used the previously established H9 (WA09) derived HES5::eGFP hESC reporter line [Placantonakis, D. et al. BAC transgenesis in human ES cells as a novel tool to define the human neural lineage. Stem Cells (2008)] to monitor morphology and HES5 reporter cell expression dynamics. The present inventors defined five consecutive stages during 220 days of neural differentiation and propagation (Figures 1A-B and 8A-B). Neuroectodermal cells emerged as early as day 5-8 and expressed SOX1 followed by PAX6, but not HES5 (Figure 8C). On day 12, HES5 is widely expressed and coincides PAX6 and SOX1, along with other progenitor markers such as SOX2 and NESTIN (Figures 1C-E, and 8D), possibly marking establishment of the CNS earliest NE cells following neural induction [Lowell, S., Benchoua, A., Heavey, B. & Smith, A. G. Notch promotes neural lineage
entry by pluripotent embryonic stem cells. PLoS.Biol. 4, el21 (2006)]. Shortly after, on day 14, HESS expressing cells rapidly become elongated, maintain PAX6 expression and form neural rosettes - highly polarized structures containing radially organized columnar cells [Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)] - reminiscent of RG cells residing within the developing ventricular zone (VZ) [Gotz, M., Stoykova, A. & Gruss, P. Pax6 controls radial glia differentiation in the cerebral cortex. Neuron 21, 1031-1044 (1998); Gaiano, N., Nye, J. S. & Fishell, G. Radial glial identity is promoted by Notch 1 signaling in the murine forebrain. Neuron 26, 395-404 (2000)] and as suggested by other in vitro studies [Eiraku, M. et al. Self- organized formation of polarized cortical tissues from ESCs and its active manipulation by extrinsic signals. Cell Stem Cell 3, 519-532, 2008; Gaspard, N. et al. An intrinsic mechanism of corticogenesis from embryonic stem cells. Nature 455, 351-357, 2008; Mariani, J. et al. Modeling human cortical development in vitro using induced pluripotent stem cells. Proc Natl Acad Sci U S A 109, 12770-12775, 2012]. Neural rosettes last till approximately day 35 (Figures 1B-E and 8A). Therefore, the present inventors designated day 14 rosettes as early radial glial (E-RG) cells and day 35 rosettes as mid radial glial (M-RG) cells. HES5 continues to be expressed in progenitors throughout the progression period, albeit in progressively decreasing numbers (Figure 8B). In contrast, SOX1, SOX2 and NESTIN remained highly expressed in the majority of cells throughout the entire propagation (Figures 1C-E). This indicates that the highly proliferative conditions are not sufficient to retain the initial high Notch activation level beyond the E-RG stage. More importantly, without being bound by any theory, this may reflect the transition of early NSCs into more limited progenitors, in line with in vivo findings [Huttner, W. B. & Kosodo, Y. Symmetric versus asymmetric cell division during neurogenesis in the developing vertebrate central nervous system. Current opinion in cell biology 17, 648-657, 2005; Temple, S. The development of neural stem cells. Nature 414, 112-117, 2001]. This observation was also accompanied by an apparent expression of DCX at the M-RG and L-RG stages, together with a gradual loss in rosette integrity (Figures 1C-E). Taken together, these findings suggest that extensive neurogenesis occurs mainly during M-RG through L·RG stages.
Based on these observations the present inventors defined two additional post rosette consecutive stages for analysis - day 80 and day 220. Neural progenitors on day 80 represent a later radial glial (L-RG) cell population exhibiting a more gliogenic bias, based on down regulation of rosette (R-NSC) markers such as PLZF and the up regulation of glial markers such as epidermal growth factor receptor (EGFR) and S100B (Figure 8E). These were still capable of generating neurons and glia, supporting existence of subsets of NSCs (Figures 3F-G) (Elkabetz, Y. et al. Human ES cell-derived neural rosettes reveal a functionally distinct early neural stem cell stage. Genes & Development 22, 152-165 (2008)). Neural progenitors could continuously propagate for many additional passages. Day 220 represents a long-term cultured neural progenitor (LNP) stage exhibiting a further substantial increase in EGFR and S100B levels (Figure 8E), while retaining multipotency (Figure 8F). These dynamic changes in Notch activation state along with morphological features during suggest that this long-term culture system provides a suitable paradigm to study NSC state and cell fate transition.
EXAMPLE 2
NOTCH ACTIVATION CONFERS CNS ROSTRO-CAUDAL PATTERNING
ABILITY
To dissect the early cell fate potential of HES5+ progenitors compared to that of HES5- purified populations, the present inventors tested whether early Notch activation is required for NE cells to respond to early developmental cues that yield regionally specified CNS neurons. The present inventors exposed neuroectodermal cells to patterning cues directing rostro-caudal regional fates prior to onset of HES5::eGFP expression. When neuroectodermal cells reached the NE stage (day 12), HES5+ and HES5- cells were separated, further subjected to complete differentiation along the selected regional paradigm, and were finally assessed for their ability to yield the corresponding regional specific neuronal subtypes (Figure 2A). Remarkably, early projection neurons expressing appropriate rostral to caudal regional neuronal markers such as TBR1 forebrain cortical neurons, FOXA2/TH midbrain dopaminergic neurons and HB9 spinal motoneurons, could be generated mainly from high HES5 expressing cells (Figures 2B-E). In contrast, HES5- progenitors weakly responded to patterning cues although they were capable of generating neurons (Figure 2B, bottom; Figures 9A- C). Requirement for Notch activation in the generation of early CNS neurons was also evident for additional early cortical neuronal markers such as CTIP2, NR2F1 and PCP423 (Figures 11A-K and 12A-G). Finally, the present inventors also confirmed requirement for Notch activation by inhibiting this signaling pathway using DAPT at either day 2 or day 6 of neural induction. Both HES5 and PAX6 expression levels were reduced following DAPT addition on these time points, while the neural crest / placodal marker SIX1 was upregulated (Figures 9D-F). These findings suggest that neuroectodermal cells require high Notch activation in order to acquire appropriate CNS neuronal cell identities. To further support this latter possibility, the present inventors followed HES5+ and HES5- progenitors derived from the NE stage through the E-RG stage and assessed their cell fate and proliferative capacities with respect to Notch activation. The present inventors found that consecutively sorted HES5+ populations retained PAX6 expression, while consecutively sorted HESS- cells retained AP2A expression, confirming that CNS and neural crest fates are dictated by Notch active and inactive states, respectively (Figures lOA-C). Furthermore, additional CNS markers such as SOX2 and OTX2 were enriched in HES5+ cells at the NE stage compared to HES5- cells, while the neuronal marker DCX was enriched in HES5- cells (Figure 10D). Finally, consecutively sorted HES5+ populations retained an overall stable level of BrdU incorporation, compared to consecutively sorted HES5- cells (Figure 10E). These results suggest that Notch in neuroectodermal cells is mainly important for segregating CNS from non-CNS cell fates and in addition may confer CNS cells with a proliferative advantage.
EXAMPLE 3
NOTCH ACTIVATION ENABLES CORTICAL LAMINATION AND GUAL
FATES
Studies on cortical differentiation from PSCs have shown how continued culture of early rosettes yields sequentially appearing cortical neuronal layers by a default intrinsic mechanism [Eiraku, M. et al. 2008; Gaspard, N. et al. 2008; Mariani, J. et al. 2012]. Here, the present inventors asked whether HES5+ NE cells generated by such a default model serve as the primary progenitor cell source also for cortical lamination. The present inventors specifically asked whether prospective purification of Notch active progenitor cells throughout the progression in vitro correlates with potential to yield cortical neurons in a time and cortical layer dependent manner.
The present inventors found that early NE and E-RG progenitor stages gave rise mainly to neurons populating deep layers (Figure 3 a) and in a Notch dependent manner (Figures 3B-D, 11A-K and 12A-G). These included deep layer-V FEZF2+ and CTIP2+ corticospinal neurons [Arlotta, P. et al. Neuronal subtype-specific genes that control corticospinal motor neuron development in vivo. Neuron 45, 207-221, 2005], early subplate and deep layer- VI TBR1+ corticothalamic neurons [Hevner, R. F. et al. Tbrl regulates differentiation of the preplate and layer 6. Neuron 29, 353-366, 2001], early marginal zone RELN+ Cajal Retzius neurons [Zecevic, N. & Rakic, P. Development of layer I neurons in the primate cerebral cortex. J Neurosci 21, 5607-5619, 2001], and deep layer SATB2+ callosal neurons. While the latter are mainly known in their contribution to upper layers, they have been also shown to reside within deep layers to some extent [Britanova, O. et al. Satb2 is a postmitotic determinant for upper-layer neuron specification in the neocortex. Neuron 57, 378-392, 2008]. In contrast, later M- RG and L-RG stages gave rise mainly to neurons that populate superficial layers (Figure 3 A) and in a Notch independent manner (Figures 3B-D, 11A-K and 12A-G). These included CUX1+ and CUX2+28 as well as SATB2+ layers II-IV callosal neurons. It is noted that while CUXl/2 protein levels were induced in neurons derived from M-RG progenitors and onwards, at the RNA level they were induced already at early stage derived neurons, and this transcript expression depended on Notch activation (Figures 3B-D and 11A-K). This suggested that early CUXl/2 RNA expression reflected early progenitor potential, rather than immediate competence, to generate superficial layer neurons. This result is paralleled by an in vivo observation according to which progenitors prospectively labeled for Cux2 appear already during early cortical development [Franco, S. J. et al. Fate-restricted neural progenitors in the mammalian cerebral cortex. Science 337, 746-749, 2012]. Taken together, these results show that early progenitor stages require Notch activation to generate early appearing neurons, while late progenitor stages yield later derived neurons regardless of Notch activation.
Without being bound by any theory, the present inventors have hypothesized that M-RG stage progenitors did not require Notch activation for generating later derived neurons because many of them correspond to HES5- subventricular zone (SVZ)-like cells that have already accumulated from earlier stages in a Notch dependent manner. To test this, the present inventors asked whether the generation of SVZ progenitors expressing TBR2 (EOMES) [Haubensak, W., Attardo, A., Denk, W. & Huttner, W. B. Neurons arise in the basal neuroepithelium of the early mammalian telencephalon: A major site of neurogenesis. Proceedings of the National Academy of Sciences of the United States of America 101, 3196-3201 (2004)] requires Notch activation. The present inventors found that TBR2 was upregulated during differentiation of NE cells in a Notch dependent manner and that this upregulation was prevented following Notch inhibition by DAPT (Figure 3E). This is in contrast to the later (M-RG) stage, where most TBR2 levels were derived from HES5- cells, and accordingly were not inhibited by DAPT. This shows that the majority of TBR2 progenitors that were apparent at the M-RG stage were already generated from early Notch active cells rather than de novo at the M-RG stage. For comparison, the present inventors also tested the expression of FEZF2 - a hallmark of earliest RG progenitors [Chen, B., Schaevitz, L. R. & McConnell, S. K. Fezl regulates the differentiation and axon targeting of layer 5 subcortical projection neurons in cerebral cortex. Proc Natl Acad Sci U S A 102, 17184-17189, 2005; Guo, C. et al. Fezf2 expression identifies a multipotent progenitor for neocortical projection neurons, astrocytes, and oligodendrocytes. Neuron 80, 1167-1174, 2013]. FEZF2 expression at early stages also strictly depended on Notch activation and was fully inhibited by DAPT (Figure 3E). The inhibition of FEZF2 and TBR2 by DAPT demonstrates that generation of both early and late progenitors and their neurons is significantly affected in the absence of Notch activation.
Additional support for stage specific differential dependence on Notch is provided by TBR1+ and RELN+ neurons. These appear not only during early sub-late and marginal zone formation, respectively, but also during mid-gestation by later SVZ progenitors [Englund, C. et al. Pax6, Tbr2, and Tbrl are expressed sequentially by radial glia, intermediate progenitor cells, and postmitotic neurons in developing neocortex. J Neurosci 25, 247-251, 2005], and may populate more caudal cortical regions [Takiguchi-Hayashi, K. et al. Generation of reelin-positive marginal zone cells from the caudomedial wall of telencephalic vesicles. Journal of Neuroscience 24, 2286- 2295, 2004]. Accordingly, the present inventors found that TBR1 and RELN neurons could be both generated also at the M-RG stage and in a Notch- independent manner (Figures 3B-D, 11A-K and 12A-G).
Similar to the critical role of Notch activation during the derivation of early progenitor cells and their neuronal progeny, also the generation of astrocytes expressing GFAP at the L-RG stage required Notch activation (Figures 3F-G). This is in contrast to neurons at that stage, which could be derived also from HES5- cells (Figures 3B-D). Taken together, these results show that the distinct progenitor units spatiotemporally organized in the developing VZ and SVZ and which are responsible for cortical lamination and glial transformation in vivo, can be consecutively isolated from PSCs through sustained Notch signaling in vitro. While the main role of Notch activation is to promote the perpetuation of potent progenitors through culture, it may not be directly involved in generating cellular diversity, but rather maintain progenitors responsive to the culture conditions, which instruct these cell fate changes.
EXAMPLE 4
NOTCH ACTIVATION LINKS HALLMARKS OF CORTICAL DEVELOPMENT
The molecular hallmarks that specifically define each of the developmental stages in vitro with respect to Notch activation were studied by employing a global gene expression analysis (Supplementary data 6, which is fully incorporated herein by reference in its entirety), and specifically investigating transcripts differentially expressed in HES5+ compared to HES5- progenitors at each stage (Figure 4A and Table 1 hereinbelow). Interestingly, genes upregulated in HES5+ NE cells were mainly associated with cell cycle progression and DNA replication, and included CDC6, CDK1, CENPH and TOP2A (Figure 4A). Genes specifically enriched in HES5- cells at the NE stage included the proneural genes NEUROD4, NGN1/2, TBR2 and DCX (Table 2, hereinbelow). These results are compatible with NE HES5+ acting as symmetrically dividing NSCs during early nervous system development (Huttner, W. B. & Kosodo, Y. Current opinion in cell biology 17, 648-657, 2005) and further suggest that Notch confers amenability for regional neuronal specification through promoting cell cycle.
In contrast to NE cells, HES5+ at the E-RG stage (day 14) were enriched for genes such as ARX, FEZF2 and NR2E1 with respect to HES5- cells (Figure 4A), indicating that Notch active NE cells underwent a sharp and rapid transition towards an RG cell stage with a strong dorsocaudal telencephalic character. Notch active progenitors in the more advanced rosette M-RG stage continued to highlight cerebral developmental genes such as POU3F2 as well as genes associated with neuroblast cell division such as ASPM (Figure 4A), fitting with extensive neurogenesis during the M- RG stage. Transcripts overrepresented in HES5+ cells in the L-RG stage were associated with glial fate key genes such as OLIG1 and PDGFRA (Figure 4A). Finally, genes overrepresented in HES5+ vs. HES5- progenitors at the LNP stage such as ANXA2 and LGALS1 are associated with ependymal cells and aNSCs6 (Figure 4A), suggesting that LNP cells progressed beyond RG fates towards adult like progenitor identity. These results show that PSC-derived neural progenitors progress through distinct stages that may be possibly linked via Notch activation, from NE cell proliferation through neurogenic RG cell differentiation, glial transformation and adult NSC specification. To further support these observations the relative distribution of germinal zone genes among the various stages with respect to Notch activation were studied. The heatmap in Figures 4B-C and the histograms in Figures 13C-J show a consecutive correlation of NE/E-RG, M-RG, L-RG and LNP stages in vitro, with VZ, early SVZ, late SVZ and subependymal zone (SEZ) in vivo, respectively. Furthermore, it is evident that VZ markers are enriched in Notch active cells while SVZ markers are more comparably distributed. To summarize, the molecular data presented herein further confirm that Notch activation links the establishment of NE cells and their transition through consecutive primary RG progenitors.
EXAMPLE 5
EARLY AND MID ROSETTES DEMARCATE GERMINAL ZONE EQUIVALENTS
The present inventors next employed immunostainings and 3D construction analyses to dissect the hierarchical progression of progenitors at the cellular and cyto architectural levels with respect to Notch signaling. The abundant occupancy of PAX6 and HES5 at all rosette cells at the E-RG stage (Figures 4D-E) indeed fits the dorsal cortex molecular identity of E-RG cells (Figure 4A). In contrast, PAX6 and HES5 spatial distribution in the M-RG stage was mainly confined to lumens, as well as to regions located distally to rosette areas (Figures 4D-E). These two PAX6 and HES5 expressing progenitor cell types possibly corresponded to VZ residing apical RG progenitors and putative outer SVZ (OSVZ) localized basal RG progenitors, respectively [Hansen, D. V., et al., Nature 464, 554-561, 2010; Fietz, S. A. et al. Nat Neurosci 13, 690-699, 2010]. 3D construction analysis of E-RG and M-RG rosettes demonstrates that HES5+ cells are composed of elongated radial fibers that cross the entire Z-section in apical to basal manner, attesting for a complex rather than flat orientation obtained via non-confocal images. E-RG rosettes are packed with HES5+ PAX6+ cells across all rosette area while dividing nuclei located luminally, at multiple Z-levels (data not shown). M-RG rosettes are characterized by HES5+/PAX6+ cells and dividing nuclei both confined to luminal regions only, at multiple Z-levels, in addition to neuronal processes accumulating at lower Z-levels (data not shown). The cell division at luminal sites is also reflected by the expression pattern of the M-phase marker PHH3, which is confined to nuclei within lumens at E-RG and M-RG rosettes, while the general cell cycle marker K I67 was apparent among all progenitors regardless of HES5 expression (Figure 13A).
Further evidence ascribing the M-RG stage rosettes as a site of mid neurogenesis is also provided by the many TBR2+ INPs (Intermediate Neural Progenitors; which is equal to "IPC", i.e., Intermediate Progenitor Cells) that appeared transiently and specifically at this stage, and were located at rosette peripheries, assigning these regions in M-RG rosettes as mid neurogenesis SVZ-like areas (Figures 4D-E and 13B). This was further corroborated by the expression of CUXl/2 and POU3F2/3. These neuronal markers begin to be expressed in VZ SVZ progenitors during mid-gestation, and accordingly appeared at the M-RG stage, located at rosette peripheries (Figures 4D-E and 13B). EXAMPLE 6
ROSETTE DISASSEMBLY MARKS THE BEGINNING OF GUOGENESIS
Evidence suggesting that M-RG rosettes serve not only as a site of extensive neurogenesis, but also of transition to glial stages is provided by the expression pattern of the RG markers GLAST and FABP7. These became evident already in E-RG rosettes, coinciding with PAX6 and HES5 (Figures 5A-B), marking neurogenic RG. At the M-RG stage these markers appeared at luminal regions together with HES5 and PAX6, but were also located at rosettes peripheries where they did not co-express PAX6 and HES5. This fits the findings that CNS progenitors prospectively tagged for GLAST and FABP7 at early stages in vivo were found labeling most neuronal progeny, while if prospectively marked at mid-neurogenesis, they labeled glial fates (Anthony, T. E. & Heintz, N. Neural development 3: 30, 2008).
The L-RG and LNP stages were no longer capable of forming rosettes, reflecting loss of epithelial integrity due to accumulation of basal progenitors, neurons and cells with astroglial character. HES5 and PAX6 cells further decreased in numbers (Figures 1C-E and 8B), reflective of the reduction in neurogenic NSCs. Some CUXl/2 and POU3F2 progenitors still remained at the L-RG stage, marking residual neurogenesis (Figures 4D-E). Enhanced astroglial identity is supported by the further increase in GLAST and FABP7 levels (Figures 5A-B) as well as the glial markers S100B and EGFR (Figure 8E). The increase in EGFR transcript levels was also reflected by an increase in EGFR+ cells in 10% of L-RG cells, as judged by FACS analysis (Figure 5C). EGFR labeling possibly reflected a newly established subset of progenitors at the L-RG stage, compatible with EGFR labeling mainly late SVZ progenitors in vivo [Burrows, R. C, et al., Neuron 19, 251-267, 1997].
In contrast to L-RG cells, most LNP cells expressed EGFR as shown by FACS analysis (Figure 5C), suggesting that following long-term culture, progenitors correspond to EGFR+ transit amplifying cells. Such can be derived from aNSC astrocytes following activation by EGF in culture [Doetsch, F., et al. Neuron 36: 1021- 1034, 2002]. This observation may explain the low GFAP levels found in the cultures throughout the progression period (Figure 5D). Interestingly, many HES5 expressing cells at the LNP stage co-localized with S100B (Figure 8E), indicative of ependymal cells [Carlen, M. et al. Nat Neurosci 12: 259-267, 2009], and in line with enrichment of genes harboring ependymal character in HES5+ LNP cells (Figure 4A).
EXAMPLE 7
MOLECULAR CHARACTERIZATION OF NEURAL CELL FATE TRANSITION
The findings described herein suggest that HES5 expression during progenitor progression links the sequential transition through distinct competences. Such a mechanism can underlie the generation of heterogeneity in culture due to the fact that many HES5- cells exist throughout culture. Accordingly, factors that share expression among HES5+ cell stages may serve as transcriptional regulators for neural development, while stage specifically expressed factors may be co-opted to drive the transition through distinct competences. In order to identify such potential candidate genes playing role in inducing, maintaining, or transitioning between distinct competences, the present inventors employed an unbiased clustering analysis on all differentially expressed genes across the HES5+ and HESS- populations. This analysis yielded 26 gene clusters that were divided to 7 distinct gene expression patterns (Figure 6A and Table 3, hereinbelow). Gene clusters upregulated early from ES to NE cells and sustained among all stages are expected to play role in inducing neural fates and maintain anterior cell character throughout prolonged periods. Accordingly, this early upregulated cluster is enriched for central nervous system [p value (pV) =8E-13] right- tailed Fisher Exact Test used by IP A) and forebrain development (pV=1.0E-8) as well as neuronal cell movement (pV=1.0E-10) GO categories (Figure 6B), and contained factors such as FOXG1, PAX6, ZIC1 and SP8, which have been well implicated either in neural induction, forebrain specification and cortical area patterning. Gene clusters up-regulated at the M-RG stage and sustained throughout subsequent stages are anticipated to play role in active neurogenesis but also in the initiation of gliogenic bias, in correlation with the present findings (Figures 4A-E and 5A-D). As such, this cluster was enriched for genes involved in morphology of nervous system (pV=7.9E-7) and formation of plasma membrane projections (pV=2.2E-6), both implicated in neuronal axon maturation. These categories included for example NFIA and NFIB, which are interestingly involved in both repressing neuronal progenitor state through Notch signaling concomitantly with activating glial fates (Piper, M. et al. 2010). Other factors included are SLITRK, ASCL1 and PREX1, which are associated with neurite outgrowth as well as neuronal maturation and migration. In addition, the present inventors have interestingly found that EZH2 - the histone methyltransferase of PRC2, is transiently expressed through the M-RG stage (Figures 14A-E, in particular Figure 14C). This latter observation nicely correlates the finding that Ezh2 regulates the balance between self-renewal and differentiation in the mouse cerebral cortex, as its loss leads to aberrant timing of cortical development [Pereira, J. D. et al. Proc. Natl. Acad. Sci. USA 107:15957-15962, 2010]. One particularly interesting cluster is characterized by genes exhibiting a transient expression during the NE stage (specifically in HES5- cells) followed by a transient re-expression during the M-RG stage. This cluster included TBR2, RSP02, NEUROD1 and TFAP2B - genes associated with neurogenesis and basal progenitor (INP) cell fate. This observation may intriguingly imply that the establishment of a set of transcription factors (TFs) regulating SVZ generation and cortical expansion may already originate and act during early corticogenesis. Genes up- regulated at the L-RG and LNP stages are highly enriched for genes involved in neurotransmission (pV=2.4E-7) and include GABBR2, GRIA4 and GRM3, but are also enriched for genes strongly implicated in glial fates such as OLIG1 and OLIG2 (pV=3.4E-7), again manifesting how late neuronal maturation events coincide with extensive gliogenesis. Another gene expressed at the LNP stage is LGALS1 (Figures 14A-G). Interestingly, Lgalsl was shown to be specifically enriched in prospectively isolated GFAP+/Promininl+ aNSCs as well as ependymal cells [Beckervordersandforth, R. et al. Cell Stem Cell 7: 744-758, 2010]. Gene clusters upregulated at the NE towards E-RG stage were enriched for nervous system morphogenesis (pV=1.2E-7) and cancer associated factors (pV=6.9E-8) and included genes such as NR2E1 and LGR5. NR2E1 is mainly expressed in Notch active cells at the E-RG stage (Figures 14A-E), compatible with Nr2el role in controlling proliferation of VZ progenitors during the establishment and expansion of the SVZ (Roy, K. et al. J Neurosci 24, 8333-8345, 2004). Interestingly, NR2E1 was also moderately expressed at the later LNP stage (Figures 14A-E, in particular Figure 14B), in correlation with its expression in mouse aNSC astrocytes as well as its role also in brain tumor initiation from NSCs45. LGR5 - another interesting E-RG specific gene (Figures 14A-E, in particular Figure 14A) - is a major stem cell regulator of adult tissue regeneration and malignancy, and was initially identified in the stem cells of the small intestine and colon (Barker, N. et al. Nature 449: 1003-1007, 2007). The present inventors also identified a cluster of genes expressed in ES cells but also transiently in NE and E-RG stages. One such candidate is LJN28A (Figures 14F-G). Interestingly, this RNA binding protein is known also to play a role in reprogramming to pluripotency [Yu, J. et al. Science 318: 1917-1920, 2007], suggesting additional roles for this protein during early neural development. Accompanying in this cluster is HMGA2 (Figure 6 A) - a young (but not adult) NSC marker [Nishino, J., et al., Cell 135: 227-239, 2008] and a target for Let-7, a microRNA whose maturation and function is repressed by LJN28A. Finally, the present inventors also identified FUR (Figure 14F). This tight junction protein shown to be involved in platelet adhesion to the activated endothelium [ ornecki, E., et al. J Biol Chem 265: 10042-10048, 1990], but was also suggested to act in the cell-to-cell adhesion of neuroepithelial cells [Famulski, J. . & Solecki, D. J. Trends in neurosciences 36: 163-173, 2013]. Taken together, these transcriptional trends suggest that the dynamic changes occurring in progenitor cell potency during culture are linked via Notch activation through stage specifically acting factors.
Analysis and discussion
The results presented in Examples 1-7 offer a first in depth dissection of the dynamic changes that lead to heterogeneity in PSC derived neuroepithelial cells during long-term culture, and shows that they match developmental logics and timing principles of mammalian NSC ontogeny. Moreover, this study suggests that Notch activation is a critical component orchestrating this ontogeny in vitro, by establishing the identity of neuroepithelial cells, regulating their numbers during progression, and Unking their transition through distinct developmentally specific primary progenitor cells - which together comprise the diversity of NSC types promoting neurogenesis and gliogenesis of the CNS.
The consecutive prospective isolation of Notch active progenitors along the entire differentiation period in vitro enabled the present inventors to enrich cultures for primary progenitor cells that may hold proliferative advantage and broad developmental potential, while eliminating those lacking these features. This allowed the generation of distinct progenitor modules in vitro temporally linked via Notch activation to serve as building blocks of nervous system establishment and neocortical construction (Figure 7). It is conceivable that each of the distinct HES5+ populations exhibits improved homogeneity with respect to Notch activation. This allows a more meaningful evaluation of the functional, cellular and molecular properties of distinct progenitor cell types during normal and abnormal development. The combined functional analysis and gene profiling of the isolated cell types during stage transitions provide a highly valuable resource of stably expressed as well as stage specifically expressed transcriptional regulators, which may be critical for both launching the onset of early NSCs as well as driving their progression through distinct developmental potencies, through Notch activation.
The present study provides a more accurate identification of neuroepithelial cells and their properties with respect to Notch activation. The findings described herein emphasize the ability of enhanced Notch activation to ensure the maintenance of progenitors in a state that allows them to respond to developmental cues. Importantly, high Notch activation does not prevent the progression through distinct fate competences, but rather links the progression through distinct lineages in culture, thus ensuring the execution of the full developmental potential of NE cells. Mechanistically, Notch activation first dictates CNS identity during neural induction. Second, it represses proneural transcriptional activity in NE cells and by that maintains a highly undifferentiated state. Third, Notch active NE cells display augmented expression of cell cycle components, in correlation with maintenance of BrdU incorporation in later derived HES5+ cells. Without being bound by any theory, the present inventors propose that Notch activation may confer amenability to specification cues mainly by extending the time window during which NE progenitors are exposed to these cues. This model can explain the ability of HES5+ but not HES5- progenitors to undergo complete neuronal specification for various distinct regional identities. This model is supported by in vivo studies showing the requirement for successive cell cycles during the specification of both spinal motoneurons and cortical neurons [Ericson, J., et al., Cell 87: 661-673, 1996; Rodriguez, M., et al., Development 139: 3870-3879, 2012]. Several intriguing aspects on the molecular forces that drive NSC progression can be drawn from the present study. The findings that genes such as SOX2, FOXG1, OTX2 and PAX6 are expressed throughout the culture progression support a model according to which CNS identity is determined during early stages by a core of stably expressed transcriptions factors (TFs). Nonetheless, the significantly differentially expressed genes sets among stages indicate that stage specifically expressed genes are also critical for stage transition. Without being bound by any theory, the present inventors propose that the extensive remodeling capacity of NE cells through progression is provided by stably expressed TFs co-acting with consecutively and transiently appearing factors to control NSC progression through Notch activation. It is intriguing to speculate that distinct sets of Notch regulators are consecutively appearing and replacing one another in a relay mechanism to generate potency diversity, while maintaining proliferation capacity through Notch signaling. Such a model should further advance the ability to use these factors to directly induce or maintain specific modules in vitro - towards establishing perpetuating NSC types amenable for drug screening, disease modeling and for developing better protocols for deriving specific neuronal and glial lineages.
The progenitor module dissection approach of the present study enables new possibilities of gaining knowledge on progenitor cell dynamics during disease onset and progression. Many disease models, particularly iPS cell based, rely on the ability to generate specific neuronal types suspected to be clinically and physiologically relevant.
This approach offers a unique possibility to specifically isolate damaged or malfunctioning progenitor modules that give rise to the clinically affected neuronal or glial cell types, and to gain deep insights into pathogenic features within such defected modules such as stem cell properties, developmental potential and molecular drivers. Also, the comprehensive array data sets may help to link the expression pattern of disease causing mutated genes along the developmental stage modules with relation to Notch activation. Using the cellular system described herein for deciphering 'defective units' during pathogenesis of various nervous system diseases in vitro should be a great advancement to the field of disease modeling. Lissencephaly, a developmental cortical disorder, is associated with defects in 'core' genes such as ARX, stage specific genes such as DCX, and Notch active specific genes such as VLDLR. Similarly, Microcephaly is associated with defects in 'core' genes such as MCPH1 and STIL, stage specific genes such as CENP, and Notch active specific genes such as ASPM. The datasets presented herein may provide insights also to other nervous system disorders such as autism as well as psychiatric disorders. Altered regulation of DISCI associated with schizophrenia may be interesting due the fact that expression of this gene appears in culture only starting the M-RG stage. Neurodegenerative diseases associated with mutations or SNPs in genes differentially expressed in the system described herein may also shed light on the potential role of such candidates in predisposition and / or actual elderly onset. For example, the present inventors found that SPON1 and RKAS2, overrepresented specifically in L-RG HES5+ cells and thus may relate to gliogenesis, contain SNPs associated with Alzheimer's disease (Pv=2.07E-4, Odds=15.26). Such findings may imply that the potential embryonic roles of these factors may be inferred also to the malfunction of such SNP-bearing genes during disease onset.
The system described herein also offers a unique possibility to look into the origin and tumorigenic properties of distinct and yet to be defined brain cancer stem cells. As many of the developmental genes have tumorigenic potential, this study may potentially advance the understanding of how Notch activation is associated with the emergence of distinct brain cancer stem cells. The association of these data sets with brain growth and tumorigenesis also reinvigorates the development of strategies to minimize heterogeneity of progenitors beyond the findings on cortical development. Such studies should also help to develop approaches to control the balance between proliferation and differentiation in vitro, to eliminate proliferating progenitors from their differentiated progeny, and to minimize chances of tumorigenicity - towards future implications in preclinical setups.
In addition, it will be interesting to test whether the newly described naive PSCs
[Gafni, O. et al. Derivation of novel human ground state naive pluripotent stem cells. Nature, doi:10.1038/naturel2745 (2013)] can be used to generate NE cells and their progeny with employing the differentiation paradigm described herein, and whether such approach can be helpful to improve harnessing the full neurogenic and gliogenic potential of these cells.
Because the uniqueness of datasets and cellular analysis is in their proliferative nature, the present inventors envisage that the comprehensive data analyses presented herein would serve as a powerful tool to dissect lineage transitions, to identify origin of progenitor cells, to relate them to onset and progression of brain tumors, and to address fundamental questions related to human cortical expansion. EXAMPLE 8
EPIGENETIC CHANGES THROUGH BRAIN COMPARTMENTS AND DEVELOPMENTAL STAGES
The present inventors utilized the human ES cell line WA9 (or H9) expressing GFP under the HES5 promoter (Placantonakis, D. G. et al. 2009) to isolate defined neural progenitor populations of neuroepithelial (NE), early radial glial (ERG), mid radial glial (MRG) and late radial glial (LRG) cells based on their Notch activation state (Examples 1-7 hereinabove and Edri, R. et al. 2015), as well as long term neural progenitors (LNP) based on their EGFR expression (Figure 15 A and Figure 20 A). The present inventors took these defined stages to create strand-specific RNA-Seq data, chromatin immunoprecipitation followed by sequencing (ChlP-Seq) maps for H3K4mel, H3K4me3, H3K27ac, and H3K27me3 as well as DNA methylation (DNAme) data by whole genome bisulfite sequencing (WGBS) for the first four stages and reduced representation bisulfite sequencing (RRBS) for the last two (LRG and LNP) stages (Figure 15 A and supplementary data 1 , which is fully incorporated herein by reference in its entirety).
Global transcriptional analysis of the undifferentiated ES cells and the first four NPC stages identified 3,396 differentially expressed genes (Figures 20B-C and Supplementary data 2, which is fully incorporated herein by reference in its entirety). Pluripotency associated genes such as OCT4 and NANOG are, as expected, rapidly downregulated, and pan-neural genes are induced early and maintained throughout (Figure 20C). Using data from the mouse Allen Brain Atlas as an in vivo reference for genes expressed in different brain compartments and developmental stages, the present inventors observe a consecutive shift of expression signatures along the NPC differentiation trajectory (Figure 15B). NE through LRG transcripts suggest anterior neural fates, while the MRG and LRG stages show in addition some posterior identities (Figure 15B, left). Accordingly, differentiated progeny derived from these populations express deep cortical layer neuronal markers (NEdN and ERGdN) such as FEZF2 and BCL11B and superficial layer neuronal markers (MRGdN) such as SATB2 (Figure 20D). Progression from early (NE) to late (LRG) stages was also accompanied by a transition from predominantly neurogenic to mainly gliogenic potential, although LRG cells can still generate neurons (Figure 20D). This progressive change in NPC identity aligns well with the in vivo order developmental events (Examples 1-7 above and Edri, R. et al. 2015).
In line with these observations, the WGBS data show changes in DNAme that can be separated into two overall patterns: the first is characterized by widespread loss and retention of the resulting hypomethylated state throughout subsequent differentiation stages (Figure 15C, top right). This pattern coincides with major cell fate decisions such as commitment from ES cells to the neural fate and the transition from ERG to MRG, the latter demarcating both peak of neurogenesis and onset of gliogenic potential (Figure 15C, right middle). The second pattern is defined by a stage-specific loss with subsequent gain at the next stage as observed during the transition from NE to ERG and also from MRG to LRG (Figure 15C, right). Conversely, regions gaining DNAme during transition from one stage to another frequently reside in a hypomethylated state in all preceding stages, indicating the possible silencing of stem cell or pan-neural gene regulatory elements (Figure 15C, left). At the histone modification level the present inventors also observe the most widespread changes during the initial neural induction (Figure 15D), although it is worth noting that the biggest gain of the repressive mark H3K27me3 occurs at the MRG stage.
EXAMPLE 9
COMPUTATIONAL ANALYSIS OF EPIGENETIC DATA IN THE VARIOUS BRAIN DEVELOPMENTAL STAGES
The coordinated epigenetic changes described in Example 8 hereinabove, are likely the result of differential transcription factor (TF) activity (Voss, T. C. & Hager, G. L. 2014; Ziller, M. J. et al. 2013; Gifford, C. A. et al. 2013).
A computational method to attribute the genome wide changes in histone modifications and DNAme at regions termed footprints (FPs) to particular TPs - Therefore the present inventors developed a computational method to attribute the genome wide changes in histone modifications and DNAme at regions termed footprints (FPs) to particular TFs and quantified this remodeling potential (TERA: Transcription factor Epigenetic Remodeling Activity; (Figure 16A and Figures 21A-B). Interestingly, TF FPs in the NPC model were highly enriched for single nucleotide polymorphisms previously reported to be implicated in Alzheimer's disease (p<0.001, Figure 21C) and bipolar disorders (p<0.001) by genome wide association studies, suggesting the possibility to utilize this differentiation system to study the genetic component of complex diseases in vitro (Maurano, M. T. et al. 2012; Claussnitzer, M. et al. 2014). Next, in order to identify potential key regulators of onset, maintenance and transition through distinct NPC populations, the present inventors ranked all motifs and their associated TFs based on their TERA scores between consecutive time points (Supplementary data 3, which is fully incorporated herein by reference in its entirety).
Then, the present inventors retrieved the highest scoring 40 TFs for each cell state transition (Figure 15 B). This analysis confirmed many well known key regulators of in vivo neural development and forebrain specification that are induced at the NE stage such as PAX6, OTX2, FOXG1 (Gotz, M., et al., 1998; Hanashima, C et al., 2004; Martinez-Barbera, J. P. et al. 2001) as well as various SOX proteins (Pevny, L. H. et al., 1998). Interestingly, the present inventors also found differential activity of distinct downstream components of signaling pathways such as a decrease of SMAD4 activity at the NE stage, consistent with inhibition of TGFb signaling that promotes neural induction (Chambers, S. M. et al. 2009). Another example is POU3F2 known to be involved in sub ventricular zone expansion and superficial layer neuronal specification, and TCF12, which is highly expressed in germinal zones during brain development (Uittenbogaard, M. & Chiaramello, A. 2002) (Figure 16B and Supplementary data 3, which is fully incorporated herein by reference in its entirety).
To obtain a higher-level overview of the processes and roles associated with the distinct putative regulators, the present inventors decomposed the H3K27ac data into seven distinct modules, each corresponding to a unique epigenetic dynamic, genomic region and upstream regulator set (Figure 21D, top). Gene set enrichment analysis (McLean, C. Y. et al. 2010) on the genomic regions associated with each of the distinct modules revealed that the module activated upon neural induction and sustained throughout the MRG stage is strongly associated with stem cell maintenance and differentiation related processes as well as Notch signaling (Figures 21D-E; module 2). Further analysis of upstream regulators of this module revealed a strong association with PAX6 and FOXG1, suggesting a role for these factors in the general establishment and maintenance of the telencephalic cortical identity of the NPC states (Figure 2 IE). EXAMPLE 10
IDENTIFICATION OF TRANSCRIPTION FACTORS WHICH ARE INVOLVED IN EACH DEVELOPMENTAL STAGE BY HSRNA SPECIFIC INHIBITION
Pooled shRNA screen against 244 transcription factors - To explore the relevance of predicted factors for each cellular state, the present inventors carried out a pooled shRNA screen against 244 TFs and epigenetic modifiers selected based on the RNA-Seq data (Figure 17A and Figure 22A, Supplementary data 4, which is fully incorporated herein by reference in its entirety). In total, 110 factors were recovered with a significant (Figure 17B, q-value<0.05, mean empirical FDR=0.045) negative impact on the number of HES5+ cells in at least one differentiation stage (Supplementary data 4, which is fully incorporated herein by reference in its entirety), with high overlap between the distinct stages (Figure 17C and Figure 22B). Despite the expected high false negative rate (Sims, D. et al. 2011) the screen consistently validated more than 50% of the predicted TFs with a known motif for the top 20 motifs found at each stage (Figure 17D and Figures 22C-D), while an expression based identification yielded only ~30% recovery (Figure 22C). Among the top factors recovered from the predictions at the early stage (NE and ERG) are the RFX proteins including RFX4, which has been implicated in cortical and brain development (Blackshear, P. J. et al. 2003; Zarbalis, K. et al. 2004), FOXGl, as well as NR2F2, whose paralog NR2F1 has been shown to serve as an intrinsic factor for early regionalization of the neocortex (Zhou, C, et al., 2001; Faedo, A. et al. 2008). Gene set enrichment analysis of putative genomic targets of NR2F2 in the NE cells further expands this role suggesting involvement in telencephalon, diencephalon and posterior hindbrain development (Supplementary data 5, which is fully incorporated herein by reference in its entirety). At the MRG stage, the present inventors recover genes involved in extensive neurogenesis but also in commencing early gliogenesis such as NFIA and NFIB, which are involved in both repressing the neuronal progenitor state through Notch signaling concomitantly with activating glial fates (Piper, M. et al. 2010), as well as REST - a major pleotropic epigenetic regulator of neural cell fate decisions (Qureshi, I. A., et al., 2010).
Transcription factors functional at all stages - Next, the present inventors selected a set of 22 core factors with evidence to be functional at all stages as assessed by RNA-Seq and the shRNA screening results (Figure 23A). In order to determine whether the subset of core factors with a DNA binding motif available (10/22) exerts the same function at each stage, the present inventors performed a co-binding analysis based on the predicted binding sites of 523 TFs in dynamically regulated H3K27ac footprints. This analysis uncovered highly stage-specific relationships that were also supported by the observed knockdown effect at each stage (Figure 18 A and Figure 23B). Interestingly, most of the identified co-binding partners are either expressed in a more stage-specific fashion or are only activated in more mature neuronal or glial cell types (Figure 18B). To further validate some of these findings, the present inventors focused on OTX2 due to its high expression in all NPC populations (Figure 18B). OTX2 was enriched at more targets in NE of which around 35% overlapped with MRG bound sites (Figure 18C and Figure 23C). The shared target set is highly enriched for genes involved in stem cell maintenance and differentiation as well as various pro- neural gene sets known to act during advanced stages of forebrain and midbrain progenitor cell maturation (Figure 18D and Figure 23D). This binding pattern combined with the observation that the OTX2 target gene set reaches peak transcriptional activity in the NEdN and ERGdN populations implies a role for OTX2 in the preparation of pro- neural genes expressed at later stages (Figures 18D-E). These findings further suggest a model where a core set of TFs helps sustain NPC identity throughout the differentiation time course and at the same time participates in the progression and modulation of NPC differentiation potential through cooperation with stage- specific regulators.
To gain a better understanding of how factors that are active at distinct NPC stages contribute to their corresponding neuronal and glial cell propensities, the present inventors took advantage of the fact that many TFBSs (transcription factor binding sites) exhibit a gain of H3K27ac or H3K4mel and loss of DNAme at the early NPC stages prior to increased expression of their associated genes in more differentiated cell types (hence referred to as epigenetic priming) (Figure 19A and Figures 24A-C). For instance, the present inventors identified three pro-neural factors that show evidence of priming, are induced only at a later stage, and possess TFBS that are also significantly (p<0.05 permutation test) associated with other genes differentially expressed at a later stage (Figure 19A, bold genes). Because these pro-neural genes are not expressed at the early NPC stages but at more mature cell types or later NPC stages derived from these early NPCs, the identification of such priming events highlights that the epigenetic state is useful for predicting key regulators and their downstream targets. In order to pinpoint TFs potentially involved in facilitating these priming events at the respective NPC stages, the present inventors determined significant co- binding relationships between the subset of pro-neural genes and other TFs that are concurrently expressed (Figure 19A).
To specifically investigate the hypothesis that a part of the pro-neural binding site landscape is epigenetically primed at the NPC stages, the present inventors focused on predicted NEUROD binding sites (Neuronal Differentiation) within H3K27ac footprints and defined five patterns of H3K27ac and H3K4mel enrichments across these sites (Figure 19B). The present inventors found that genes associated with predicted NEUROD binding sites in regions gaining H3 27ac or H3K4mel enrichment at distinct stages of NPC progression are up-regulated in more mature populations derived from the respective NPC stage (Figure 19B and Figure 24 D). Consistent with the idea of a comprehensive preparation of the epigenetic landscape during lineage specification, NEUROD binding sites associated with NPC related genes that retain high levels of H3K27ac and H3K4mel throughout the time course, are associated with various anterior and posterior cortical structures as well as early and late developmental time points (Figure 24E).
These results support a model where selected TFs at the NPC stage remodel the binding site repertoire for pro-neural factors by preparing the epigenetic landscape at their respective targets. First the general lineage landscape is established upon commitment to the neural fate, followed by the stage-specific modulation of primed pro-neural binding sites. This in turn restricts their binding space as a mechanism to ensure proper neuronal and glial differentiation capacity. In addition to these mechanistic insights, the present inventors provide a general analysis strategy to interpret differences in epigenetic landscapes based on cell fate regulatory TFs. This strategy can be readily applied to other datasets including the extensive collection of the NIH Roadmap Epigenomics Project (Supplementary data 3, which is fully incorporated herein by reference in its entirety).
EXAMPLE 11
CLUSTER ANALYSIS DATA OF GENES DIFFERENTIALLY REGULATED DURING NEURAL PRGENITOR CELL DIFFERENTIATION
The genes differentially expressed genes across ES cells and four HES5+ NE, HES5+ ERG, HES5+ MRG and HES5+ LRG which are shown in Figure 20C were grouped into 18 clusters, and the genes included in each cluster are provided herein: Cluster 1: ARX, CROT, PAX6, YAF2, IKZF2, CYP46A1, HDAC9, COL9A2, HHAT, GUCY1B3, MAP2, LRP2, LYRM2, CD82, CHRD, CATSPERG, TIMP3, GALNT16, KIAA0247, EYA1, NCALD, C7orf63, CDH23, LGI1, MAPK10, TBC1D9, TBC1D19, ZBTB16, LPXN, ASIC1, TSPAN11, WNT5B, NEDD9, HBEGF, PLCH1, DNAH1, OTX1, EPHA4, WLS, PROXl, PLAGL1, LTBP2, PCDHB14, CXCR4, EGR2, IKEF4, WNT1, EFNB2, BMP2, AMOT, PALLD, CBFA2T3, PNPLA7, VSTM2L, MEIS2, EMP1 , ANKRD6, EPHA7, PAX3, ENPP2, ILllRA, LEFl, COL2A1, LGR5, MBNL2, CDH11, CBX8, MAPK4, PRDM16, BARHL2, RABL2A, FBLN7, ACKR3, SLIT2, SCUBE3, CRB2, TENM4, CTF1, LYPDl, ME3, CLGN, PDE1C, FBX043, FCH02, TSPAN18, DPYSL5, TMSB15B, C2orf81, SCUBE1, GBAP1, FRZB, ADAM0,S9, FABP7, SP8, ZHX1, STOX1, FBN1, PRTG, KCNJ4, FAM107A, EMX2, DPY19L2P2, S1PR1, RP11-1055B8.7, ZNF584, BCL2, ID4, ALG14, 10-Mar, TCAP, PDIK1L, NR2F1, FOXG1, RNF152, RP11-169K16.8, C17orf96, FZD2, GAS1, NRIP1, B EGA IN, MEX3B, ZNF703, MAATS1, OAF, SOCS3, ZBTB7C, NR2F2, AHNAK2, MPPED1, FAM69C, WNT7B, HESS, SMOC1, ZNF521, WDR52, DENND1B, SP11- 640M9.2, ZNF37BP, RP11-166B2.1, Clorf213, DKK1, CCL2, CDH6, FLRT3, LCN9, KLHL35, SPON2, CDC42EP5, TMEM132C, SYTL4, CHI3L1, RSP02, TMEM163, CELF3, MSX1, PTX3, ZEB2, C17orf97, MYT1, E2F2, REEP1, TEKT2, PAK7, CA2, RIN2, CBWD5, WDR78, SLITRK5, ZNF503, CDYL2, LDLRAD4, FLRT2, FANK1; Cluster 2: GAS7, NRXN3, FHL1, VIM, MFAP3, KIAA0556, PPP1R3F, COLMAl, GPC1, CDON, CTNNA2, NEOl, SDK2, C16orf80, FAM135A, KAT6A, BCORL1, EBF4, CPXM1, PCBP4, EFNB1, PLEKHG2, NLRP1, PTGS1, H2AFY2, PALM, 3- Sep, ARSA, NKAIN4, E2F1, CST3, LPIN2, CD99L2, ZNF629, COTL1, METRN, SYT17, IGDCC4, STMN2, TUSC3, AMH, APLP1, MEIS3, IQCE, ANKMY2, GLI3, TLE4, ABCA2, ACTA2, KAZALD1, TSPAN14, EFNB3, KIAA1211, DTX4, ARHGEF17, WASF1, PCDHB5, H2AFY, PDGFRB, PLXNA1, STAM2, IGFBP2, IGFBP5, ODC1, RIMS 3, AKT3, ST6GALNAC5, CNN3, C2orf43, Clorfl98, NEK6, DENND1A, IFI27L2, PYROXD2, DUSP4, CNTFR, IFT81, MXD4, ENKD1 , SOX21 , PLAGL2, MCF2L, IFI6, FGFRLl, GNAZ, MGAT3, CCDC136, CDOl, LPPR3, ZSWIM6, PLXNA3, ZNF428, LRRC4B, REEP2, NES, WASF3, RFXAP, EPHB2, C1QTNF6, RNF122, FAM127A, SOX3, PHC2, ANXA1, CCDC102A, ARHGEF4, SPRY2, VEZF1, HS6ST1, FOXP4, ATAT1, FXYD6, MAPKBP1, BQAR3, SHROOM3, PIANP, VPS37B, CDH24, TSPAN3, ABHD2, CMTM3, TLDC1, SGSM2, SLC39A6, CBX4, EMP3, EPHA2, CELSR2, GPR161, VGLL4, TAGLN3, BOC, TMEM209, TMEM47, SHC3, INA, FEZ1, LPHN3, DIXDCl , DPYSL4, RNF144A, ASTN1, ZSCAN1, SORBS2, MARCKS, UBE2L6, FBRS, ZNF618, RHPNl, TMSB15A, GPR153, CACHD1, GPSM1, FAM171A2, BEND5, CAMMSNl, ffiR5, CCDC104, PACRGL, STK36, SPICE1, PTPN13, ABHD6, CTSB, HGSNAT, CASP7, AMOTL1, S AMD 14, TUBA1A, TTYH1, RNF187, TCTN2, ZNF608, FAM110B, EFNA1, SDC2, FOS, CDH2, KIAA0232, HS6ST2, ASXL1, VAT1L, FBXL14, NBEA, INSM1 , ADCY6, CNTNAP2, IGDCC3, FBXW8, SPSB4, GAL3ST3, CCDC57, VPS37D, SOX11, MAGEF1, ZNF664, MAGED1, CUEJDC1, ZNF467, IDH2, RGMA, B4GALNT4, NDN, CRIP2, KIRREL, KCNH8, EFNA5, SNN, 5-Sep, H1FX, TCEAL2, KLHDC8B, TSPYL4, ARL4C, COL4A5, HES4, LDOC1L, FHIT, FAM217B, ASB13, ZNF777, CD47, SVIL, CHAMP1, TBKBP1, CCDC167, DMD, ARMCX6, ZDBF2, RENGl, ZBTB12, PPP1R1 1, TECPR1 , ZNF316, NYNRIN, RP1-152L7.5, FAM229A, ZBTB22, PCDHGC3, C4orf48, SHA2fK3, ZNF865, COROIA, POU6F2, CPE, ID2, ID3, STMN1, DUSP6, CALB2, ZCCHC12, RNU4-2, S1PR3, EIF1AXP1, CALCOCOl, DKK3, CAMK2B, TRO, ATP6AP1, CRMP1, MOK, SLC22A17, MAGED2, CLIP3, CACNG7, CADM4, CHN2, MLLT6, LGALS3BP, SPARC, FGF12, HES1, GBE1, PODXL2, FNDC4, KIF21B, KLHL29, 6- Sep, CDKN2D, SAT1, MLLT1, GSTM3, NREP, KCNMB4, IGFBPL1, STRA6, EBN2, ZIC5, HERC2P2, CCDC40, LMTK3, ADAMTS10, IGLON5, PLEKHA6, HES6, IL17RD, PAM, GSN, FRMD4A, LGI2, MPP3, NYAP1, RHOH, SERINC2, GSTA4, EFCAB12, BRSK2, PNMA1, PDE4DIP, EXOC7, TTC3, NRBP2, LSAMP, MAPT, HIST1H1C, HIST1H2BK, DDR1, C14orfl32, PEG10, TUBB3, FUT8, IGSF9, DYRK1B, MEST, ING4, KHDRBS2, SRRM4, REM2, GAREM, IMMP1L, SHANK1, KLHDC9, FAM84A, CHST14, CSRNP3, RNF182, HIST3H2A, PNMAL1, EXT1, TCEAL7; Cluster 3: CX3CL1, DNAH9, ARHGAP6, SOAT1, RIMBP2, SLC6A16, EYA2, VASH1, CACNG4, PLXNA2, CMTM1 , TF, TGFB2, CACNG1, SOX6, RFX4, PACRG, PDE10A, NME5, KAT2B, SLC1A4, PTCH2, SGIP1, PLEKHG1, NBPF14, GRK4, ZNF436, GNG11, KCNC1, MMP28, SYNE1, AVIL, STAT4, SLC40A1, KLRG1, LUM, ILDR2, UNC80, SCD5, FBXL17, TTBK1, LPAR4, SYBU, ZEB1, FAM13C, GAS2, SETBP1, ZIC1, PTPRN2, GLYATL2, FZD1, ZNF19, ZNH221, FBXL13, KLHDC8A, BBS5, PCDH19, DCHS1, MAPI A, NBPF9, LRRN2, DCLK2, MAP6, EPHX4, LY6H, SCN4B, MAF, CHRM4, SOX1, GPR1, LHFP, LRRC55, POU3F2, PROSl, SORCS2, ANKS1 B, MAPKl l, KLHL32, DCC, DNER, C12orf55, ZNF471, ANKRD36B, C5orf42, COLGALT2, GRK5, POU3F3, BTBD17, LY6G6C, LRRC10B, FAM71F2, DENND6B, DOK6, EGFEM1P, LDHAP4, ST15P6, LINC00537, RP11-3L10.3, LL0XNC01-240C2.1, CCDC13, ABCC6P1, AC020910.2, CTD-2054N24.2, FTLP12, SMIM17, LM03, GLIS3, ST18, GABRA2, APCDD1, TPTE2P5, ZNF573, SP5, CACNA1G, STMN4, PMP22, MDGA1, PDE1A, NRNl, LRRC17, BAD, LM02, DOCK10, KIAA1644, ASCL1, RTN1, LRRC4C, KIRREL3, AKAP6, ATP2B2, AIM2, ATOH8, ZIC4, ZNF25, A2M, C12orf68, SLn¾>Kl, UNC5C, GNG2, ZNF536, RGAG4, THSD7A, MEGF9, ST8SIA1, SATB2, PIGZ, CDKN2C, CRB1, PLCE1, PCDH10, NTRK2, LIX1L, NRGN, VCAM1, FAM198B, LMBRD2, VSTM4, TMEM100, IRXl, LRRN3, CHRNA7, IRX5, ZBTB20, GABRG3, GRID1, PCDH9, ELOVL2, PPP1R14C, ST6GALNAC4P1, AC016712.2, PNMA2, PTCHD4; Cluster 4: MEOX1, ITffl4, WNT8B, ARHGAP15, RBFOX1, AB3SC6, CRYBAl, FOLRl, BMP5, NR2E1, RGS4, CASC1 , OLFM3, NR4A3, PDEIB, TMEM255A, OPN1SW, ALDH1A2, VTCN1, BCMOl, MORN3, CLEC18B, PTH2, DMRTA2, OXSM, FEZF2, SST, TNFRSF14, TNNI1, CCDC135, LMX1A, PCDP1, HEYL, SYTL3, TMEM74, C9orf24, DACH1, CMTM5, RSPOl, TRH, SOSTDC1, NHLH1, SYNPO, SPTLC3, C4orf26, RAG2, FAM182B, DMRTA1, C8orf4, CDVS1, ODF3B, GPBAR1, NME9, GLUD2, FAM131C, NTF3, TAL2, AC018892.9, C9orfl71, ARL9, KLHL14, WDR96, MEIG1, DCAF12L2, HIST1H3A, Clorf228, ABCA4, PPAPDC1A, CCDC160, C6orf25, CTD-2514C3.1, C21orf49, RP11-108K14.4, RP11- 156F23.2, COL6A4P2, RP1-203P18.1, TSPAN19, RP11-216N14.5, SCAND3, RP11- 5P18.10, CRYBB2, ALG1L12P, RP11-671M22.4, CTD-3193013.10, RP11-353N4.6, AC104057.1, CTC-559E9.12, DMRT3, TTC29, MMRN1, HTR2C, TPPP3, LIPH, NOG, AC018816.3, NOS2, RARB, BARHL1, PAX8, SLC47A1, CORIN, UXl, CLEC18A, OSR2, NEUROG1, RTN4RL1, FOXE3, RP11-730A19.9, PTPRH, MECOM, LHX1, NDST4, DRC1, CLSTN2, C2, CCDC60, AC010980.2; Cluster 5: MRC2, ATP1A2, MRVI1, KCNQ2, DPYSL2, NDRG4, PTN, B3GAT1 , PDE4D, SOX9, SYT11, NOTCH2, ARHGAP29, SEMA6C, GAREML, DLC1, ARNT2, ZMAT3, CDH4, GPC6, NLGN3, COL5A2, GPR56, SYP, CENPI, PLLP, SLCI4A3, NRP2, ΓΓΡΚΒ, COL8A1, NOTCH1, GFRA1, DBI, FGFBP3, AGRN, TFPI, BRCA1, EXTL3, RUFY3, TIMP2, ATP9A, MYLK, PPP2R5B, KIFAP3, GPR137B, DLL3, RAB36, PLTP, ZNF423, NEFM, NOVA2, DKFZP761J 1410, PON2, RUNDC3A, NRXN2, SERINC1, TANC1, ST3GAL5, PARD3B, Clorf61, ATP1B2, DPP6, NDFIPl, KIDINS220, GNS, NACAD, SCARB2, CPNE2, KIFC3, EVI5L, SDK1, SLC16A2, NCAM1, GPM6A, PDLIM3, KIF5A, ATP6V0D1, AGPAT3, PPAP2B, SDC3, PEA 15, SPRYl, FAM219A, HTRA1, STIM1, LTBP3, KIF5C, ANTXR1, CHD3, PAQR8, SCUBE2, CDK5R1, ASB8, CTNNBIP1, ZHX2, CECR6, KREMEN1, FAM43A, PDE2A, AFAPl , XRCC2, LRP10, STMN3, PHF2, SHISA4, Clorf233, ZNF853, SOX8, ETV1, AKAP11, GPM6B, SCML1, H6PD, KIF1B, LIMCH1, HffiK2, SNCAIP, DIP2B, MPPED2, EVI5, TRIB2, EPN2, NOTCH3, RBL1, PHLPP1, EPB41L3, SEMA5B, GNA11, OSBPL8, MAP3K1, MIC ALL 1, NIN, CDC25B, RASSF2, KIAA0226L, CDK6, TSPAN12, PTPRZl, SUSD1, ARHGAP21, CLCN3, COROIC, CDK2AP1, FAM184A, FAM65B, BVES, QKI, GNB4, ARHGEF26, ABCD3, PCDH17, KCNIP2, UBL3, FKBP9, GLIPR2, CHST3, FAM199X, ATMN1, VPS13C, ARHGEF6, SORTl , ROCK2, LRP4, ARHGAP32, APC, TTYH3, ABHD17C, ENTPD1, SSFA2, 11-Sep, ETV6, KIF21A, GAS2L3, RBI, SLAIN1, NOVA1, TCF12, ZCCHC14, NPC1, TTYH2, RNF157, IFNAR1, CDC42BPA, MEIS1, CAMK2D, ANK2, PDGFC, PM20D2, TMEM181, PURB, TACC1, NACC2, EIF4EBP2, SESN3, ENDOD1, SOGA1, FREM2, SACS, C5orf28, MGAT5, DDB^Hl, GRIA1, ELMOl, PSD3, MMP16, ATAD2, LSS, CLPB, ZYG11B, LRRC58, SRGAP2, IFI16, WDR41, TP53INP1, FAT3, REEP3, CERCAM, SCARA3, PBK, GNG4, RAB31, ADAM9, TSPAN5, PXDC1, COL22A1, ROBOl, CTNND2, TMEM133, MOB 3 A, LCLAT1, PEAK1, HEG1, SH3PXD2B, TMEM9B, DPP10, KBTBD11, WSB2, IRX3, TMTC2, WSCD1, ZBTB42, PAK2, ARSJ, F2R, BAIL PDE4B, NAT8L, FNBP1, ZNF70, TDRD7, SLC35F1, SLC6A9, WNK3, IGF2R, GAL3ST4, VEPH1, GRM3, PJA2, C2orf72, C5orf51, PTPLB, SLC35F6, RP11-697E2.7, Clorffi26; Cluster 6: DCT, VAX2, BCAN, NT5E, MTTP, NFIB, MEF2C, NALCN, CHL1 , SPARCLl, GRIK1, DCN, ARHGAP31, MY016, CA12, CACNG5, PAG1, C14orfl05, SLC8A3, KLHL4, IL7, INPP4B, GBP1, ATPIOB, SLITRK3, RHOJ, SCN2A, IFI44L, IFI44, CNGA3, DLX1, CNPY1, CSGALNACT1, SNTG1, SLC39A12, ADAM 12, PCDH15, NPAS3, SCN3A, ANKFN1, ADAMTS3, ART3, SLC6A1, S100B, BRINP3, SYNPR, EN2, CSMD3, KIAA1161, AMER2, SLC16A4, GSX1, TM4SF1, ARPP21, DDX60L, PTPRT, PAX5, CPNE4, DPF3, AC008060.7, AC092675.3, TRAC, RP1- 161N10.1, AL807752.1, CYP26B1 , TENM 1, ARAP2, SLC4A4, MLC1 , SGCG, HOXA2, ELMOD1, TNR, LPPR5, GRIA2, SLC6A11, THSD1, MMD2, TLR4, IL33, MDGA2, ABCA8, SLC13A5, CLVS2, MKX, GPR158, GUCY1A2, PRDM8, KCMJ16, NCAM2, ACSS1, NFIA, EN1, GPR155, NKX6-1, GRIK3, SCRG1, TMEM71, SVEP1, ALK, KCND3, HOPX, KIAA1239, KCNA2, KCNJIO, RGS6, CSMD1 , GRIN2A, OLIG1, C3orf70, LHFPL3, SLC18A3, C15orf52, C2orf80, POU3F4, GPR123, RYR3, AC138783.i l, C21orf62, AC005019.2, TMEM257, UBBP3, RP1 1 -434H6.2, RP11- 598P20.3, HNRNPUP1, ZNF818P, GRIN2B; Cluster 7: CPA1, KRT23, UffiPl, ITGB6, CSF3R, TNNT3, CGA, ELF5, FGFBP1, TRIM29, ERP27, CYP1A1, CLEC18C, SCGB3A1, S100A9, S100P, AGBL1, MYEOV, Clorfl27, GLDN, FAM90A27P, MYL4, RP11-15J10.1, SLC06A1, OR7E101P, RP11-4K3_A.3, AC012441.1, RP1 1-43619.6, APOC4, RP11-551L14.7, RP11-579D7.8, TMEM176A, TFAP2B, SKI, IL6, TMPRSS4, P2RY6, ANKRD34B, CASP4, CCDC162P, IGFL4, GCGR, GAT A3, AIPL1, HPSE2, RNVU1-6, CLPSL1 ; Cluster 8: ZMYNDIO, AN02, SEMA3C, PPEF1, SLC17A6, EBF3, UNCX, DYNLRB2, VWA3A, CNTN2, GRP, SLC25A48, CPLX2, SLC30A2, NSG2, AMBN, HIST3H2BB, PAX7, EFCAB1, IPCEF1, MOXD1, EPHA6, MYH7, SPEF1, MYOM1, CBLN1, RUNDC3B, PPP1R17, HGFAC, CNTN3, C20orf85, PCSK2, GDF5, FOXP2, ISLR, RFTNl, SYT4, BGS8, TBR1, GAD2, LHX9, PSD2, GPR6, RSP03, CRH, PTPRO, TMEM132D, SH2D6, CAPSL, ABI3BP, FGF18, KCNB1, FGF17, GJD2, ZFYVE28, UBXN10, DAPL1, CCDC141, EOMES, TLX3, SAMD3, KCNC2, SVOP, WDR16, MS4A8, ISLR2, TEKTl, FSTL5, PARM1, SCRT1, PDGFD, CDK5R2, TMEM196, LING02, TTC9B, RTP1, ST8SIA3, HIST3H2BA, GALNT9, PCP4, Cllorf88, OPCML, SLITRK6, TMEM173, AKAP14, SHISA7, COL25A1, Clorfl92, RELN, SERPEN A3, HRCT1, BRINP2, SAMD5, RP1-65P5.1, RP11-12A20.4, MCIDAS, SHISA8, SMM22, ACTL6B, P2RX6, APOL4, RSPH4A, NEUROD4, HDC, Clorf222, VAX1, CDH12, CDC20B, ZNF804A, KCNK3, MYT1L, RNVU1-14, EBF2, C17orf72, XKR7, RN7SL53P; Cluster 9: NFIX, SEZ6, TLE2, EEF1A2, PCYTIB, SCG3, C ALB 1 , CPT1A, OAS3, LIFR, CSMD2, ITPR2, PMEPA1, UNCI 3 A, LGR6, DCLK1, HEY2, CNOT6L, MEGF10, GRIK4, USP43, ZIC3, NMNAT2, ABTB2, PARP14, RAIOYL, METTL7A, NRG3, TRIM69, SPRY4, OGDHL, RN7SL721P, CCDC80, PREX1, TFAP2A, SLC15A2, FAM181B, SLITRK2, S100A2, MAMLD1, LRRC7, TNC, LZTS1 , SLC12A2, PLD1, DCX, OPHN1 , GNAOl , RAPGEF4, SEZ6L, DOK5, PCSK1N, COR02B, AP3B2, SPOCK2, SFXN3, GHR, NR3C1, WNT5A, BCL11A, PDZRN3, CD97, LPGAT1, MASP1, MCHR1, GADl , NCAN, CMPK2, TA0K3, PCDH8, SEMA6D, TMEM117, DISP2, TGFB1I1, CACNG8, CASQ1, ARHGAP18, CHST7, CDKN2A, NR3C2, TNIK, MEGF1 1 , ABCG1, CHRNB2, NFASC, BSN, MGAT5B, VSTM2A, LONRF2, FUT9, ADCY5, LPL, TSHZ1, NTM, ABAT, MAML2, MANEAL, NTNG2, LPAR1 , TOX, PTCHD2, LRRC37A16P, NTN1, ACTN2, ADCYAP1R1, SLC1A3, TNS1, JAK2, TRIM9, ACSBG1, ITGB8, TBCED)12, LAMA4, SEMA5A, BCHE, CSPG5, CNR1, CPNE5, DOCK4, TMOD2, TULP4, CPM, EDNRB, GABBR2, PARP9, NFIC, IGSF11, TENM2, PLEKHH2, GRIA4, PRKCA, PIEZ02, NTNG1, KIF26B, RFTN2, KCNF1, RNF180, ZCCHC24, KIAA1462, CACNB2, NETOl, GBX2, GPR37, HAS2, MCC, B3GALT1, GNG7, NCKAP5, ZDHHC22, KCND2, POMK, C1QL4, SLIT1, LUZP2, TET3, SHISA6, £TD- 3088G3.8, LAMA2, DCHS2, ZNF460, PLXNB3, BMPR2, CYS1, RP3-340B19.2, RPL19P20, RP11-390F4.2, FRRSIL, CICP14; Cluster 10: NFE2L3, AD AMI 1, CAPN6, NEBL, LHX5, MFNG, GPR143, PTPN5, RHOU, OLFML3, CDK18, PACSIN1, PRKCG, RASL11B, FEZF1, APOE, RAX, CCDC64, MYOF, RGS16, CXCL14, TPBG, KCNMA1, CLIC6, OTX2, ELFN2, IGF2, SPINT2, R®R2, AFAP1L2, RAB3B, MT1E, CMTM8, KRT8, NRTN, HSD11B2, IFITM1, FAM183A, MT1X, SEMA4A, C6orfl41, COL4A6, AP000783.1, HECW1, SYT7, F7, DSP, TNNT1, FBX02, NPY, ΓΠΗ5, BMP4, SIKL WNT3A, MEGF6, PAPPA, SCN5A, HIST1H4D, MT1F, C6orfl00, MT1M, C20orf26, LEPREL1, BAMBI, TSPAN15, MXRA5, SLC17A7, CNFN, SH3GL2, ICAM2, GALNT12, KIAA1217, IL13RA1, PPP1R1A, KCNK1, CRABP2, OCIAD2, ZNF185, NR4A2, PLEKHG4B, DMTN, ALOX15, ALPL, ECEL1, RCAN2, EGFL7, CSPG4, SLIT3, RP11-9231$ 1.7, ARHGAP44, GABRA3, SYT13, POU2F2, PTPRU, MY03B, PPP2R2C, IL4R, TRPM3, FER1L4, SLC7A8, PICKl, CTSH, BMF, NDRG1, LSR, UNC5B, NMU, KIAA1324, SLC8A2, PPP4R4, MSX2, PLXDC2, EPHX2, SDC4, PTGIS, BCAS4, ZNF391, TMEM74B, DACH2, TNNI3, PRRG3, CASZ1, PODNL1, ZDHHC8P1, MST4, ffiR3, SMAD6, SIX3, FRAS1, CCDC33, SH3GL3, TMC6, FHAD1, RGS5, MPP7, SPAG17, KIT, CACNA2D3, DYNC1I1, WNT4, RBM47, GRM2, TMEM130, SEMA6B, PHYHIP, GPRC5C, MGMT, EMB, KNDC1, PCSK1, EFCAB4A, SHISA2, MAPK15, KCNQ3, FMNLl, FAM86B1, GCNTl, ZNF204P, GOLGA2B, CFB; Cluster 11: SLC25A5, PSMC4, KCNG1, ISOC2, WDR1, DAZAP1, FAM50A, NAALAD2, OSBPL6, EZR, HSP90AB1, CBX7, C20ori27, AHCY, GFR50, HTATSF1, TOX3, TIMM50, GPI, ISYNA1, DNAJB6, LFNG, HSPB1, PFN1, RAB34, CCND1, HSPA9, DPYSL3, AMOTL2, ACTR1B, ERRFI1, GADD45A, NIDI, MYCL, SLC2A1, PRDX1, CTGF, DUSP1, EGR1, LYPLA1, ZSCAN18, BBS9, NR4A1, PLPl, AHNAK, ID1, CDC42EP1 , LOXLl, SHC2, JUND, COL5A1 , DKC1, RAN, SERPINF1, EIF5A, TMEM2, MSI1, TXN, SULF1, GABARAPL1, PSMB6, SEfiBPl, PSMA5, RAB13, HSPD1, SFRP2, PLK2, CCT6A, GPC3, GSTOl, ALDOA, UCHL1, TSC22D3, CSRP1, BTG2, CBS, SHC1, COL26A1, TKT, 8-Sep, CITED2, RPL36AL, ZNF219, HSP90B1, PPIB, CYCS, SUCLG2, FAM195A, EHBP1L1, PPP1R14B, MRPL11, TP53I11 , BASP1 , METRNL, TALDOl, DPM3, MYADM, SKIDA1, GAS6, ARMCX2, SUM03, DLK1, ZFP36L1, POU3F1, EMID1, PTMA, H1F0, TOI2BVI7, NRARP, ARC, DLLl, APRT, FAM127B, MT-RNRl, TWF2, MYH9, PGRMCl, RBP1, CLU, LAMA5, MYCN, FST, KLF4, CLSTN3, IFITM3, COL6A2, FAM57B, MARVELD1, MMP14, STC1, SPATA18, WNK2, AGPAT2, ANXA2, S100A4, KLHL13, SPATA20, TACC3, DEPDC1B, FLT4, ZIC2, YBX3, POLD1, ABCA7, IP05, ASNS, MCM2, ENOl, MCM6, MCAM, CAMSAP3, SESN1, TRIP6, AURKA, AARS, ORC6, PHGDH, LGALS1, MCM5, FAM118A, PHF5A, MYBL2, SLC7A5, SFRP1, ANKRD27, FBL, PLD3, SLC1A5, BCAT2, PRKAG2, PTGR1, NPDC1, ALDH2, MCM3, GMNN, GNPDA1, EEF1B2, SDC1, HDAC1, IVNS1ABP, LPHN2, TXNIP, CDC20, PRDX6, MTHFD1L, TRIM24, CKS2, OBSL1, CSE1L, SNRPB, BCL2L12, DLGAP5, PAICS, FAM64A, AJUBA, CDKN1C, SYT5, SESN2, TCEAL4, BEX1, DDB2, YARS, CDCA8, PSAT1, ATP5G2, HMGA1, ATIC, FAM60A, SLC7A1, PCSK6, GREB1L, CYR61, RHOB, CSRNP1, CCNA2, ABRACL, CD6A5, PLIN2, LATS2, GJA1, CENPH, FZD7, CCNB2, IGF2BP1, CELF5, SNX7, ATF3, PKDCC, NUAK2, RPL39L, CDC25A, HMGB2, PTTG1, SLC16A9, PLEKHF1, CRABPl, BLCAP, FBX022, HID1 , TK1 , RPSA, NT5DC2, RFWD3, FAM84B, SLC30A1, PFKFB3, PGAM1, SPSB1, CTPS1, CEBPB, CKS1B, SEZ6L2, CHST2, IMPDH2, AURKB, GEMIN4, HIST1H2AC, SIAH2, SHMT2, GJC1, IRAKI, ISG15, EIF4EBP1, GREB1, IARS, MYOIC, RPL12, TPM2, INPP5F, GPC2, CTB-63M22.1, KIFCl, ITGA3, CYB561, RPS20, HEBP1, GRAMD1B, AP2S1, RCN1, PLEKHA5, KCNH2, PHF21B, RPL18, CA11, NDUFB4, POLB, RPL31 , SMARCEl , CTTNBP2, FTL, C14orfl66, RPL6, HEPH, NAT 14, CD200, SH2D3C, ATP5D, NDUFB7, RPL3, LGMN, MAP1LC3A, MYL12A, EIF3E, RPS16, CDC37, RPLl 8 A, EDF1 , RPL19, SYNGR2, RPL34, MDK, C12orf57, CD83, RPS12, SLC12A7, RPL24, REEP6, PCSK4, RPS15, LAMTOR2, RGS2, TMEM9, MFAP2, RPS25, HDHD3, RPL21, RPL5, ALKBH7, RPL23, SNRPD2, COX6B1, PRMT1, RRAS, SH3BP4, RPL36, C16orfl3, ATPIF1, COX4I1, RPL27, BEX2, CTSL, COX5B, RPL35, RPS6, RPLP1 , RPS24, SRP14, TPM1, RPS2, NDUFB10, NOB1, ARRB2, ZNF787, RPS11, RBflLll, RPS8, CREG1, EFNA3, RPL32, AMT, RPS3A, NDUFS6, RPL37, BOD1, RNF44, ABT1, IGSF1, RPL7, SERPING1, RPS3, HMGA2, FARP1, BCL2L11, FAM49B, SSBP3, TPRG1L, TAGLN2, C21orf59, PSMD4, CHCHD6, DEDD2, LY6E, RPL26, RPL29, KIAA1522, MRPL55, CCDC74A, H3F3A, FSTL1, RPL9, CAMKV, RPS14, NSD1, TMED3, GPX4, RCOR2, NDUFS5, ATP5I, NSMCE1, CCDC8, RPS9, C9orfl6, TBCA, RPS21, RPS7, MZT2A, SLC19A1, UQCRH, ΖΝΗΓΤ2, RPL4, NDUFA11, ARL4D, EID2, RPLP2, RPS27, FUCA1, SSR4, TRAPPC5, LIMK2, RPL35A, C2CD4C, NDUFB1, UQCR10, NIPSNAP1, CEND1, SIVA1, IFITM2, KIAA1598, RPL14, AJAP1, ADARB1, RPS26, RPL37A, RPS4X, RPL23A, UBL5, RPL10A, SELM, MT-ND3, RPL39, LBH, TSPAN4, AP000350.4, FAM19A5, Bffll- 742N3.1, RPL41, PET100, RPS18, TMA7, RPS28, WBP1, TMEFF1, RPL17; Cluster 12: CYP51A1, CD9, KPNA6, CD44, ARID4A, TSPAN17, SLC4A8, MSMOl, CCAR1, TNP03, OAT, PDIA5, ELOVL1, KLF6, PDZD4, ROCK1, TFE3, RASGRP2. DNAJA2, SLC44A1, WBSCR22, PVR, FBLN1, FDFT1, HSP90AA1, STK17B, XPOL SH3BP2, PXN, USP48, SEMA6A, RFFL, SORBS 1, SLC25A1, TNRC6B, PCNX; PLS3, DNAJC3, MMP15, SQLE, GSR, CCDC61, OLFM2, GRIN2D, CAVL TMEM248, CCDC6, PSMD11, CCDC34, SC5D, HSPA8, DDX6, HPS 5, SASH1. C6orf62, HMGCSl, HMGCR, INO80D, SPTBN1 , COQ10B, PDCL3, BIRC6, DHCR24, ECE1, AKAP7, CCND2, TRIM25, ZC3H13, AG02, ARFGEF2, SOX4; RRBP1 , NCLN, VGF, GNL3L, LDLR, MAP1S, OLFM1 , MPP1, GSE1 , RAMP2. TRIM22, LANCL2, SWAP70, HSD17B4, VAV3, MDM2, KLHL36, RC3H1. TUBB2A, ARRBl, PRCP, SLTM, PPM1B, PHLDA1, UBE2Q2, ULK3, BM)4; SNX27, SPATA5, PHIP, ADM, DGKZ, COMMD7, PLCB3, FOXOl, BICD1. RABGAPIL, PLOD2, TRAPPC8, LPCAT1, THY1, PITPNC1, AZIN1, TMEM55A. LARP1 , PDIA4, PPP2R2B, HK1, LRP8, DYRK1A, EIF5B, ZNF714, SLC25A44; FAM102B, IGSF8, RNF168, CCDC112, CASP3, CDCA7L, ADCY1, ABCA1. ARHGAP42, GABRB3, CYB5A, MVD, ATCAY, STAT3, PLEKHA2, L©B2; LINGOl, HNRNPA3, INSR, SHCBP1, GAP43, DHCR7, FAM222B, ARHGAPl. BOK, PPFIA3, PFAS, RCC2, CALR, TMEM64, NQOl , DHTKD1, YIPF6, ATP6AP2; HIST2H2BE, NPIPB4, 1-Mar, INSIG1, NF2, USP7, DAPK1, SCN8A, ZNF841. HELZ, GFPT1 , FAM155A, ATXN2, RAB12, ARHGAPl 9, PLEKH02, TMEM158. LYN, GAN, SEMA3A, COL9A3, SCD, SGK3, DLX5, PTGDS, IRX4, WWC1, CMPF; IDH1, COL6A1, CREB3L1, CDK1, RASGRPl, SGK223, RP11-1166P10.1, ST7; MYLIP, CAPN1, GRN, EPB41L2, KIF3C, WDR47, PPP1R13B, CHRNA4, CELF4; SMAD7, SALL1, SHD, ATP 1 A3, CLIP2, ELAVL2, FN1, DLGAP3, FAAH, KIFK [RF2BPL, GDAP1L1, SERPINB6, TMEM35, KIF1A, C19orf66, ITM2C, CENPE; RGS3, SLC20A1, STK11IP, LRIG1, SLC18B1, JAK1, SERPINI1, CADPS, KIFC2. SLC43A2, CXXC5, PRNP, ETV4, FAM20C, BCOR, PTCH1 , LRRC16B, FBLL1. S100A16, ANXA6, L1CAM, COL11A2, TAPBP, SEPP1, CREBBP, PROM1. SAMD4A, GCLM, TRIO, RRM2B, LIMA1, QSER1, TM7SF3, PPP2R5A, PRR11. NDE1, TRAF4, SYNJ2, LRRC16A, CLDND1, ITGB5, STARD7, DOCK9, LZTS3. RCOR1, GOLGA3, CLSPN, XYLB, CRKL, GINS1, EEF2K, IMPAD1, PPB2)CB; PIK3R2, SIPA1L3, ZC3HAV1, WASL, AKNA, NCS1, GAB1, CBL, HIPK3, FOXM1. MAN1A1, ASCC3, GPR126, TMEM30A, ACAP2, CCDC88A, STRN, MARK1. TROVE2, MAN1C1, CCNL CYP20A1, PHF19, ZC3H7A, 7-Sep, SLC25A16, CDKN1A, AIF1L, TEP1, MAP1B, TOP2A, STARD13, KRAS, SBF2, PTGFRN, RNFT2, AKIRIN2, FAM129A, SERPINE2, SMC2, TLN1, CASC5, KIF11, TMEM132B, RNPEPLl, LM04, GATAD2B, SFXN5, SH3KBP1, MSN, DOCK5, RSU1, MKI67, LIN7C, CELF1, ATM, QDPR, UHMK1, SEMA3D, LONRF1, AGPAT5, ELMS AN 1 , SAMD8, SKI, B4GALT5, ZYX, VMA21 , CCNF, SLC25A45, LRP5, USP24, NOL9, VANGL2, SGCB, SGOL2, PRSS12, FOXK1, SGPLl, C18orf54, TMEM194A, PAFAH1 B2, HOOK3, SOGA2, FASN, TRIM8, WIPF2, HCFC1, PDE3A, DAG1, ZBTB4, JUN, PLEC, SOCS4, RAP2B, HS3ST4, TRAK1, 9- Sep, ZNF445, KIF18B, TMSB4XP8, TMEM201, COL27A1, GMFB, FAM242B, STYX, MDM4, CALM1, PHACTR4, LGR4, C15orf59, FXYD7, SALL3, TMEM178B; Cluster 13: MATK, MLXIPL, PRICKLE3, PRSS8, DRD4, ANKRD24, WFDC2, PPP1R16B, EPHX3, COR02A, CPZ, CCKBR, SLC35F2, PTPN6, SLC16A10, PRSS16, POMC, GRB14, VAMP8, EPCAM, A4GALT, KLKIO, RHBDF2, APOCl, LIN28A, RAP1GAP2, RAB25, MTL5, MLK4, ZNF385B, MARVELD2, SLC7A7, RAB11FIP1, SUSD3, DUSP2, FAM46B, VSNL1, TERT, GYLTLIB, SPINT1 , TAC3, RBFOX3, CA4, CYP2S1, UGT3A2, PCSK9, CDC42BPG, KRT19, FUT1, CPNE7, HLA-DQB1, CLDN6, SYN3, FAM83G, BEND4, CLDN4, RASGEFIA, LSTl, ANKRD18B, ARHGAP8, ACTN3, SLC22A31, CTD-2616J11.4, PLEKHG6, CD74, COL17A1, PVALB, RHOV, KRT18, BST2, IQCA1, KRT7, ANXA3, SYTL1, THNSL2, ANKRDl, FTCD, DMKN, ELF3, CLDN3, AQP3, RHOD, SFN, RNF212, SP6, TGM2, CD79B, VRBC2, ADAM28, LLGL2, STXBP2, GSDMD, EBI3, FGF21, DOCK8, TCIRG1, STC2, TNNT2, TEK, NPPB, LRRC61, KLK8, TSPAN2, ALPK3, INHBE, CYP1 1A1, IRF8, PADI3, LEFTY2, PLAC8, PAMR1, CACNA2D4, ACTC1, MAMDC2, ALDH1A1, PKML2, STX3, KLK6, NAALADL1 , CCDC88B, KLK7, SLC16A5, KCNS3, PRKCDBP, TNFRSF10C, CD7, AIM1L, RP11-551L14.1, FAM83H, TXNRD2, GSAP, PLEKHG4, HLA-DOA, TMEM114, CTD-2021H9.3, RP11-554D14.2, PKP2, TJP3, SIT1, MPZ, ARHGAP27, NOS3, FES, AIFM3, RP11-527L4.2; Cluster 14: PRDM1, CDH3, ME1, ATP2A3, FOSL2, SLC4A11, FXYD5, ARHGAP4, TGM1, TRIM14, PDBDUl, COL1A1, HTATIP2, ARTN, CNN1, GDF15, SYT6, FAM71F1, MAP7, SORL1, HERC5, FGF2, CNKSR1, ACTA1, MALL, OSBPL10, USP53, N4BP3, IGFBP3, DIAPH2, STOM, NR6A1, FUR, NPR2, FGFR4, DHRS3, FZD5, KCNK5, COL1A2, GPR176, TMEM88, BNC2, TNFRSF10D, PRIMA1, COL14A1, S100A10, TEAD4, ANKRD35, MICB, TRIM71, SHISA9, APOBEC3C, FAM86EP, ICAL PRKCH, ANK1, HES2, CXCL2, PAPLN, SALL4, AURKC, PERP, ECHDC2, EMILIN2, THBS1, CGN, SLC5A12, RLTPR, F2RL1, WDR72, INPP5D, PTRF, NPW, SPMOL, PDGFA, MY015B, SERPINBl , CAPG, FGFR3, NEDD4, TPD52, CECR1 , CARD 10, PCK2, CTSZ, TFPI2, HPS1, FBXW4, PTPMT1, SH2B3, KCNQ4, FILIP1, TRIM6, ADCY7, TMEM54, ANXA11, W1PF3, SLC12A4, ADM2, ARHGAP22, CHAC1, SPOCD1, TMBIM1, USP44, DRAM1, SLC39A8, JDP2, CDH8, NLRX1, PRKCD, SCG5, VWCE, STXBP6, PLAC1, LRRC34, MYD88, NPAS4, NRIP3, FQSL1, OPLAH, NSUN7, ARID3B, CALN1, UPP1, ADAP2, ADRA2C, SIGIRR, PMEL, LIN28B, SH2D5, S100A6; Cluster 15: CFLAR, YBX2, JARID2, AASS, MGST1, TCEB3, RALBPl, NLRP2, UBR2, HSPA5, USP28, COL23A1, FOXN3, NOP58, MTA3, ERBB3, PFKP, PPAP2A, PDK3, TCOF1, NLE1, ST6GAL1, ADD2, REX02, ICAM3, GPC4, PHF17, KIAA0020, SEPHSl , PTPN4, DDX18, DNMT3B, T1BSC, ESF1, TNRC6A, EPB41L4B, SIRT1, CECR2, DDT, PRODH, PLA2G3, HMOX1, SPTLC2, RIMS4, SAMHDl , FAM83D, ADNP2, LIPG, NKAP, PIM2, EMD, CRYM, BFAR, CEP152, GABPB1, TWISTNB, SERPINE1, KDM4C, DDX58, NPM3, KLHL2, GARl, CRYAB, CTSC, ZNF259, GNPTAB, PHCl , TTK, SLC29A1, MAN2A1, BRIXl, RRP9, CEBPZ, MEF2D, MAD2L2, PRPF3, SLC19A2, RQ&N3, ESYT2, SPP1, SENP5, HEATR1, RBM25, SLC17A5, HELLS, HSPH1, DPPA4, FAM126A, PAIP2B, USP9X, MRS2, NQ02, UPF3B, TRIP10, VASP, WDR60, TPST2, PODXL, MAP7D3, DOHH, FAM155B, GADD45G, SULT4A1, EIF2S3, ZNF331, GFPT2, DNAJBl, MYBBPIA, SLC39A1 1 , RRAS2, CDK7, LDHA, ELP2, GLS2, GCC2, FLNB, SKIL, KIAA0368, RABEPK, CTSV, MYC, PJM1, PPP2&1B, LRPPRC, TMEM180, PPIG, CIRl, HCN4, LARPIB, ETNK1, P1F1 , MFGE8, CDH13, MY019, TP53, PMAIP1, URB1, MTF2, POU2F1, GOLGA4, TERF1, PTGES2, PPRC1, PAK1, SAP18, C12orf45, UPF2, CWF19L2, JMY, RANBP2, INO80C, RSPH10B, OTUD6B, GRAMD3, MCU, PCDH1, RBPMS, MYOIE, LDLRAP1, Clorf51, CBR1, ATAD3B, CILP2, PDXK, GPATCH4, FDXR, PDPN, FL\50R1, PQLC3, ADCK3, METAP1, EDIL3, FABP5, MID1IP1, SLC7A3, NEMF, TSC1, DDX21, C10orfll8, PACSIN3, TAF1D, TRMT61A, ZNF143, RBPMS2, PLK1, MRPL16, RBPJ, DNAJC21, PGM2, BUB1, UGP2, OTUD3, B3GNT2, IRX2, RSL1D1, SLC25A33, ATF7IP, EIF2AK3, PPP1R3B, PTPN2, PLA2G16, PUS1, BEND3, PHC1P1, AEN, FRAT2, FAM101B, CHEK2, CMSSL T0P1MT, ATL3, WBSCR17, CD24P4, ZBTB3, VSIG10L, PALM3, PTAR1, LITAF, RRP7A, ZBTB44, ZNF34, C6orfl06, ZNF398, MAFG, RPF2, ZNF121, ZNF649, WDHD1, FAM169A, LRIG2, HSPA1B, HSPA1 A, MICA, CTD-2328D6.1, AL627309.1, TRNP1, MYH14, PLAU, MT2A, ZFP36, AN04, RDH13, SHANK2, S100A11, SLC2A14, BCAM, ARHGAP23, HIST1H3F, PLXNDl, TNFRSF12A, FGFR2, ORC1, POLE2, CAV2, GARS, WDR75, FHL2, CTH, STIL, ASS1, DNA2, DIAPH3, PIP4K2A, BUB IB, WEE1, CDT1, PHLDA3, COL13A1, LCAT, FADS 3, ST3GAL1, PRBX2, ST6GALNAC2, PffiZOl, RPS6KA1, BRIP1, DTNB, TET1, NLRC5, SLC37A1, UBXN7, PRR14L, MY06, HTT, ARHGAPllA; Cluster 16: CNTN1, FAM65C, PHF15, PTPRN, TRHDE, SNCB, ΓΤΜ2Α, BRINPl, RUNX1T1 , CADPS2, CHGB, SUSD2, CHGA, CRISPLD2, FOXF1, DHDH, TLE6, COBL, GHRHR, RARRES2, CXCL12, KCNAl, NT5DC3, KIAA1244, POLR3G, FGF1, STEAP3, SLC3&A3, LRAT, TSHZ3, FABP3, TWIST1, CHST8, HIST1H4B, MT1G, BFSP1, GRPR, KDR, CGNL1 , FIBCDl, GMFG, PPPIRIB, HSPA12B, DOCK2, ETS1, HRK, GPNMB, AOX1, NAAA, PNMT, PPAP2C, VASH2, CPNE9, DCDC2, SLC43A1, ADRA2A, MX1, FOXH1, FGF19, ACTG2, PITX2, RASEF, ZNF488, CLMP, LDHD, CA5B, KCNAB1, SCN9A, WNT10B, NPTX1, SYT12, HES3, FAM53A, UGT8, 3DES, MGAT4C, B3GALT5, LCN12, THBS2, FAM78B, FAM179A, RYR1, UAP1L1, HIST4H4, HIST1H2AL, ZYG11A, HLA-G, RPL31P11, RPL13AP7, CKMT1A, HDGFP1, RP1-228H13.1, CKMT1B, CCDC169, RP11-603B24.2, UNGP3, GABRP, EDN2, MARVELD3, THRB, MAPK13, MIXL1, RPL9P29, CHD5, CHRNB4, REPS2, GPR160, SSC5D, AIF1, RP11-1396013.1, RP11-74E22.4, GRID2, GNA14, RIMD1, TMEM151 A, TRPV2, RNU5B-1, DYNLLIPI ; Cluster 17: CASPIO, IL32, CDH1, LAMC3, STYK1, GAL, NMRK2, NOS1, CYP26A1, KCNK6, PNPLA5, SLC17A9, SLC52A3, RSP04, ACP5, FA2H, ESRP1, MYL7, SCNN1A, RASAL1, AIM1, TFCP2L1, MLPH, IRF6, FAM124B, GRM4, RAB17, SH2D3A, AP1M2, ZSCAN10, FAM83F, VRTN, DYSF, LECT1, LCP1, CUZD1, ADAMTS14, HERC6, RAJB20, GRB7, CBLC, VWDE, VENTX, ACOXL, B3GNT7, CD A, LAD1, GPR114, BNIPL, CXCL5, CDCP1, HPGD, FAM160A1, ELOVL7, GLB1L3, SCNN1G, HRASLS5, SERPINB9, PAH, UTF1, GPR64, Clorfl72, ZFP42, PKP3, PDE6G, C6orfl32, PLA2G2A, RUFY4, KLRG2, CARD11, POU5F1, C9oifl35, MT1H, RGL3, TRBC2, POU5F1B, LTB, L1TD1, SPIB, PRSS22, ACPP, RUNX3, EPN3, LAMC2, ATP2C2, MYBPC2, OXT, VSIG1, VGLL1, ESRP2, HPN, SGCA, BSPRY, C3, RBBP8NL, GALNT6, ADAMTS17, DPEP3, TMAGL1, KISS1, C2orf54, B3GNT3, TMPRSS2, TACSTD2, IGLL3P, FAM209B, KIAA0040, Clorf210, RP11-2C24.5, MT1L, RP11- 694115.7, BTK, IZUM02, FAM162B, RN7SL471P; Cluster 18: SCT, AFP, TMPRSS1 IE, FLTl, CLC, AM BP, NANOG, OPRDl, RARRES3, TRPC6, CD109, IL34, AIRE, CAPN13, PF4, KLKB1, UCMA, GPR182, NLRP7, KLK13, ITGAM, PYDC1, FAM71D, RP11-683L23.1, TDRD12, RP11-458F8.3, LCK, QDF3, U52111.12, C16orf54, TRDN, HBA2, HIST1H4A, MME, RNY3, RP5-886K2.1, DPPA5, NPM1P46, EEF1A1P16, EEF1A1P15, KB-1683C8.1, RP11-420L9.2, RN7SKP127, HLA-DPB2, RP11-490K7.1, TDGF1P3, IPPKP1, RPl 1 -543B16.2, AC005077.12, PPIAP19, KRT18P1, RP11-185B14.1, RP11-382D8.5, RP4-612B15.2, CRYGFP, AC097523.1, GAPDHP65, RPL30P4, HIST2H2BB, RPL17P20, RN7SL585P, AC006445.6, RP11-392E22.3, RN7SL532P, RP11-468N14.7, RP11- 384K6.4, EEF1A1P17, OLA1P3, RP11-297M9.1, RN7SL136P, RN7SL600P, NRBF2P1, AP001888.1, HNRNPA1P52, CTC-412M14.6, RP11-180P8.5, AHSP,
CTA-242H14.1. EXAMPLE 12
CLUSTER ANALYSIS DATA OF GENES DIFFERENTIALLY REGULATED IN
DIFFERENTOATED CELLS
Gene differentially expressed across four more mature cell populations (corresponding to the sequentially generated cortical layers) obtained through differentiation of NE, ERG or MRG cells to neuronal like cells (NE/ERG/MRGdN) and astrocyte like cells (LRGdA) derived from the LRG stage, which are shown in Figure 20D, were grouped into 12 clusters, and the genes included in each cluster are provided herein:
Cluster 1: CD74, CAPG, DRD4, LLGL2, CLUL1, CTSZ, WFDC2, CBLN1, MAP4K1, TNNT1, PRX, CDH23, CCL2, KRT18, PERP, STC2, KCNQ4, 2-Mar, CHST8, PAIP2B, EDN2, GDF15, LIN28A, SERPINF1, DDB2, MMRN1, INHBE, ZIC5, PPFIA4, ZNF385B, STAC, SRCRB4D, RGS10, ELF3, SYNPR, ANKRD33B, CDC42EP5, COL3A1, FAM84B, FSTL5, INPP5D, ROR2, CMTM8, MGMT, RASGRPl, RHOD, KCNIPl, NEB, CLDN6, PMEL, SAMD5, AP001065.7, ULK4P2, CTD-2550O8.7, SCML2P2, HFE, DCN, MTMR11, COL9A2, CAPN6, NDRG1, CHRNB4, OLFM3, IL13RA2, LRRC61, PPP1R1B, DUOX1, ITGB7, PRDM16, WNT9A, LIX1, HKDC1, MMP14, SCUBE1, PTH1R, COL1A2, RAB3B, REPS2, TM4SF1, ECEL1, CSPG4, TCAP, PHYHD1, RPL37AP8, SCN4B, GRM8, TH, SERHL2, SL1T3, Clorf95, C6orf99, CFB, RN7SL336P, RP1 1-1348G14.6, RP1 1 - 694115.7, PDK4, YBX2, PLEKHB1, IL4R, CDK18, SDC4, BMP2, PRKCG, HOOK1, STRA6, NDST4, TPBG, EXTL1, DUSP23, ADAMTS9, RAB26, SOSTDC1, LRR£48, GAS1, SHISA2, MAPK15, OAF, BCAM, COL4A6, CDHR5, GPR143, 4-Sep, TPD52L1, SARDH, ZNF391, RASL11B, CDKN2A, SLC25A27, DDR2, KCNJ4, GRAMDIC, BACE2, EMILIN3, KLHL14, PTPRH, MYH14, ZNF185, PLEKHH2, MERTK, ARHGAP25, RAB3IL1, BTN3A2; Cluster 2: BTN3A1, ZFYVE16, EPHA3, CYBA, SYNE2, ALPK1, TRIP6, PNPLA3, PCK2, SALL4, CHRNA4, EBF2K, TRPS1, RELB, BBC3, PLEKHA4, LSR, LFNG, HSPB1, PTGR1, CUBN, WNT5B, MDM1, B3GAT2, PDGFRB, XRN1, TXNIP, SLC2A1, CCND2, KLHL29, P4HA1, PLEKHG3, A4GALT, TPST2, APOE, NOTCH2, LDHA, C9orf40, LEFl, STON2, SIK1, EPHA2, CRABP2, 1L17RD, SCUBE3, CREB5, GPC3, NR6A1, LCN9, CDHR1, TMEM132D, USP43, RAB11FIP1, ZIC3, ATP2B2, FZD1, IL34, CLSTN2, RAPGEF6, HK2, TPPP3, ABCG1, COL26A1, SLC30A7, ATF3, FRZB, NUAK2, RPL39L, INTU, HSPA4L, STARD4, SP8, CRYL1, C10orfll8, SMC04, PRTG, TMPRSS5, STX3, TMIGD2, AFAP1L2, SLC50A1, SLC30A1, GPRC5C, PYGOl, NHLH1, CEBPB, FUT9, PDP2, MAF, ARID3B, VWAl, PENK, GPR3, FAM89A, PCP4, GAS6, FAM19A1, KCNQ3, ATL3, OSBP2, INSIG1, EMID1, LIN28B, ARL4C, ZG3H6, HES4, S100A4, HES5, PIM3, TPM2, ARC, CCDC160, EBF2, FTLP3, CTB-63M22.1, RP4-612B15.2, HLA-B, AC007875.3, KIAA1456, ATP1A2, GRAMD1B, CDON, SDK2, ACACB, BCORL1, IGSF9, LTBP4, RAPGEF4, COL9A3, CATSPERG, MFNG, SFRP1, POU6F2, GDF10, PPM1H, SLC29A1, CTH, FILIP1, HIF3A, PSPN, MST4, COL6A2, SLIT2, CACNA2D1, C6orf57, MAPK13, HYDIN, STC1, F3SN3, FGF11, NBPF10, PHYHIP, AXIN2, AGPAT2, BOAA1919, LING02, ULK4P3, KCTD12, ZNF467, CHST15, UNC5C, OPCML, FLRT2, FAM43A, KCNJ11, RELN, NTRK1, HSPA1B, NYNRIN, ASIC3, RP11-45817.1, RPL5P34, RP11-295P9.3, SEPP1, RPL9P29, CCDC109B, MYLIP, ZIC2, PTPRU, COL11A1, FGFR3, BLVRB, TMEM101, TSPAN15, TSPO, NFATC4, BMP7, BMF, KAZALDl, GALK1, CTSC, HES1, RHOU, EBPL, IFI6, ITGA7, FBN2, COL2A1, IGFBP4, hsa-mir-1199, TTC12, HMGA2, RILPL2, WDR78, KLF10, ANKRD9, Clorf51, LY6E, MEGF6, ELEN2, SLC19A1, PIFO, CHST2, COL18A1, EFNA5, KLHDC8B, WNT7B, COL4A5, Clorfl92, FCHSD1, SELM, MICA, TSPAN4, WDR54, CD9, HEBP1, CA11, EFNB1, TEKT2, CECR1, LAMAl, NXT2, EIF3E, CLEC1 1A, PRUNE2, PALD1, LTA4H, VEGFA, SLC12A7, REEP6, PCSK4, RPS6KA1, EPHX2, TMEM74B, C1RL, IMPA2, ACKR3, SLC18B1, GLB1L2, EMC10, KIAA1522, CCDC74A, PCDP1, ABHD6, SPINT2, SEMA6B, DDIT4, RGS14, CNTNAP2, TMEM107, C2CD4C, MAATS1, FOX04, TPCN1, ACN9, ADA, SIRPA, Clorf228, DMD, GSTM2, TMEM159, PKP2, MYLK, PPP2R5A, ATP2B3, LRRC16A, SLC01A2, TYR03, MAP3K1, CDH20, PLXDC2, SORBS3, SWAP70, FRAS1, USP53, CDH12, UNC5D, SERINC5, RBPMS2, GPR37, EPS8L2, ANXA2, FMNLl, COL27A1 ; Cluster 3: NOS2, FMOl, PRSS8, TYR, DCT, TRPM3, TYRP1, CPZ, SCNN1A, PRSS16, CNTN3, PAPPA2, CPXM2, BARHL1, C3, GDF5, BST2, TRPM1, KRT7, PSTPIP1, DMRTA2, HAPLN1, HTR2C, CACNA2D4, ABI3BP, WNT3A, DKK2, PPARGC1B, COLEC12, SIM2, COL6A3, NEUROD6, CMTM5, CYP2S1 , SOST, HIST3H3, KRT8, PRKCDBP, KRT19, AIM1L, AMBN, RPS17L, RP5-1120P11.4, CLDN4, AC004832.1, BT2JL2, TRBV20OR9-2, GMNC, TBC1D26, CES5AP1, AC004383.3, AC007386.3, AC072052.7, RP11-452D2.2, CHCHD2P6, HSPB1P1, RP11-69M1.1, ACTN3, CDC42P4, RP11-629019.1, RP5-878I13.2, CFH, NOS1, KCNJ5, ΠΊΗ5, SIXl, ATP1A4, SLC2A5, TINAGL1 , GDF7, COX6B2, LMX1A, TSHR, MEI1, TEKTl, COL8A2, AQPEP, EVX2, MAP3K19, RIPPLY3, Cllorf88, DNAH2, RYR1, HLA- DOA, RP1 1-277B15.1, C17orf98, HMGN2P18, RSL24D1P6, AC104809.3, MCIDAS, GAPDHP52, RN7SL547P, RN7SL338P, RP11-1016B18.1, NMRK2, C19orf77, JAK3, ICAM2, TULP1, GAL3ST1, CCDC33, GPA33, ClOorfll, TNFRSF14, CRYAA, FBLN2, RBM47, C2, TRPV3, SPTLC3, RBM11, MORN5, P2RX2, NCCRP1, S100A6, MSX2P1, AC004074.3, RPL24P2, INSL3, LINC00908, MLXIPL, REM1, FER1L4, LIM2, ACCS, BMP5, TTR, CRHR1, TTLL10, CLDN19, CDC20B, ALS2CL, RP11-5P18.10, KCNJ2; Cluster 4: GABRA3, PTGER3, DSP, SLC17A7, CCKBR, NR2E1, POMC, NRN1, PCSK2, ADM2, RAX, PDGFRA, USP44, TBR1, Clorf222, BARHL2, LHX9, OSR1, DCDC2, CYP39A1, RSP03, GABRA2, VWA5B1, DMKN, CTRC, EOMES, SAMD3, CLDN3, PCSK9, RSPOl, SLFN11, EGFL7, DMRTA1, FZD8, LRRC3B, FAM83H, SCN5A, ADRA2C, HIST3H2BB, C6orfl41, GPRIN2, SP5, RPS26P8, RP11-296L22.7, DMRT3, ATP2A3, TP73, LHX5, EVXl, LGI1, GHR, PTPRB, APOC1, ZDHHC8P1 , EMX1, ADC Y AP 1, RGS16, RSP02, GJD2, PLXDC1, UBXN10, KCNC2, WDR16, IGF2, PARM1, EMX2, TRH, PRL, FOXG1 , NHLH2, TMEM132C, NEUROGl, C9orfl71, MYBPCl, RP3- 340B19.2, PABPC1P3, RP11-2C24.5, ARX, EFCAB1, WNT8B, SPAG6, MECOM, SLC7A8, OTXL GALNT12, LM02, HDC, VAX1, FEZF2, FGF18, PRKCB, RHDH, GREM2, RTN4RL1, GCNTl, FAP, ADAMTS2, LHX2, EFEMP1, ACOT2, LYPD3, PACSIN1, TMEM255A, DSC2, FHADL THSD7B, OCIAD2, ME3, DRC1, CCDC135, ClorfH5, OTX2, GFRA2, KCTD19, DCDC1, NPTX1, HLA-DQBl, LYNX1, SLC35F3, AC016757.3, MPPED1, Clorfl68, CD55, AJAP1, ZNF204P, HLA-DPB 1 , SLC04A1 , ATP8B3; Cluster 5: ALDH3B1, LAM A3, SENM3C, GADD45B, PLS3, HPX, CTGF, LTBP2, EGR1, ECHDC2, ANXA11, SNAI1, RRAS, HELB, ZFP36, KANK4, POSTN, VAV3, EMP1 , ANXAl, HEY2, GPNMB, ITGA11, MYOF, ANXA3, HAPLN3, SYTL1, CYR61, CSRNP1, IGFBP3, PLOD2, TTC39B, CREB3L1, FAM46B, ACTG2, S100A11, CLDN1 , AQP3, PKD1L2, SPDYE6, TAC3, TMEM88, EFNA1, WNT10B, SEMA3E, COL24A1, AN05, RP11-79L9.2, P2ERF, ERBB4, TMEM64, TXNRD2, SOCS3, IFITM1, THBS2, PLEKHG4, MME, RP5- 886K2.1, HMGN2P15, RPL41P1, PRADC1P1, RP11-182J1.16, RN7SL473P, TNFRSF12A, SCT, CACNG5, CYP26A1, BAMBI, MXRA5, CPEDL PTGDS, COL1A1, GBP1, MSX2, COL5A1, BHLHE40, CYP1B1, RBMS3, SLC39A4, PAMR1, ACE, SGPP2, FAM160A1, C6orfl32, LAMA2, TCEA3, VGLL3, AC055811.5, ST6GALNAC4P1, DNM1P51 , NONOP2, RP11-598P20.3, RP1 1- 359M6.3, AC006116.20, CLDN11, SNAI2, PLD1, TFAP2C, UNC5B, UNC93B1, CD83, OLFML3, PPP4R4, AHNAK, WNT1, DOCK6, C19orf66, GFPT2, IL13RA1, SLC39A11, IER3, ARRDC4, ATHL1, GJA1, GRAMD3, LCA5L, TGFBR2, TNFRSF11B, PLEKHF1, RILP, COL22A1, PDGFD, RARG, NTF3, HLA-E, KOL3, AC007875.2, AP001055.1, IL32, FOSL2, RARB, COBLL1, LEPREL1, LAMB1, ENG, BVES, AP1M2, CNN1, DRAMl, ARHGAP29, SLC40A1, TAGLN, ACTC1, ZMAT3, NABP1, MSRB3, AHNAK2, OLFML2A, TRPV2, FAM114A1, RPL35P2, SLC12A8, EPPK1, PTCHD4, VRK2, ACP5, SMAD6, RGS5, CCDC81, EDNRA, DAB2, MSX1, SLFN5, TAPL SYNPO, BNC2, EFCAB4A, CCDC162P; Cluster 6: CYP51A1, TFPI, CACNA1G, RPS20, LYPLA2, PTBP1, KPNA6, KCNG1, H6PD, RCN1, MSMOl, DCBLD2, YBX3, QSER1, POLD1, RPL18, WDR18, FOXJ2, MPPED2, PDZD4, ASNS, CNGB1, RPL31, FAM50A, MRPS34, TRAF4, DGKD, PAK3, FBLN1, N4BP2, FDFTl, MRPL22, RPS5, PPIE, EFR3B, MRPL28, FTL, C14orfl66, ASAP3, RPL6, GOLGA3, AARS, ALKBH5, PHGDH, SH2D3C, SCD, MY09B, ATP5D, CDC34, RANBP1, SMARCB1, NHP2L1, DDX17, RAB36, TMED8, SPTLC2, LGMN, PNN, NOL4, MIB1, CENPI, FNDC3A, NDfl¾G4, HCFC1R1, NME4, METRN, SQLE, BNIP3L, OAZ1, RPS16, SLC1A5, RPS19, BCAT2, RPL18A, ISYNA1, FKBP8, ZKSCAN1, FSD1L, TGFBR1, SPOCK2, NPM3, RPL28, MLLT6, PSMB3, RPL19, DHX40, EN03, RPL34, SC5D, CCDC86, CBL, MDK, NDUFS8, C12orf57, MCM3, RPS12, COX7A2, HMGCS1, HMGCR, AMOTL2, RPL24, ACVR2B, KLHL24, RPS15, SDC1, DHCR24, FAM20B, HDlACl, ΜΠΡ, MTR, CDC20, AKR1A1, PRDX1, CNN3, ARID1A, RPS25, FOX03, CCNI, TJP2, TRIM67, PPP2R4, IFI27L2, NPC2, IRF2BPL, DUSP1, MOB3B, RPL21, RPL5, BBS9, PRDX4, PFDN5, NR4A1, FAM199X, LPGAT1, AG02, CKS2, ATP8A1, RPSIO, SOX9, CHCHD5, ALKBH7, RPL23, SNRPD2, COX6B1, BCL2L12, PRMT1 , UXT, BCL11B, MASP1, CHTF18, AKAP9, POR, SAT1, LDLR, LRCH2, RS436, PGLS, LSM4, TAF4, CHMP2A, C16orfl3, EIF3G, COX4I1, RPL27, ACLY, VPS25, KDM6B, OSER1, KRAS, LPIN1, CRB1, SOX3, DTNA, PSAT1, ATP5G2, CD63, KCNMB4, RC3H1, GCC2, ARHGEF4, RPL35, GRHPR, IGFBPL1, RPS6, PIM1, HMGA1, MAPKBP1, RPLPl, IFI44, RPS24, ATIC, TMEM117, CDH11, RPS2, TOB1, RNF165, SH3GL1, ZFP14, MYOIF, ZNF787, RPS11, RPL11, RPS8, IGSF3, XPRl, MCL1, POGZ, SYT14, SLC39A1, KCNN3, GATAD2B, RHOB, SLC4A10, RPL32, STXBP5L, ATP10D, KLHL8, RPL37, MEGF10, BOD1, ABRACL, SLC16A2, PLIN2, RPL7A, ZEB1, LRRC4C, CELF1, RPS3, B3GAT3, FAU, TMEM219, THYN1, RABGAP1L, ASTN1, DCLREIC, ZSCAN1, CENPH, CMIP, MSJ2, FZD7, PSD3, C14orf2, UQCRB, RPL30, UBE2L6, KAT6B, LRP8, TSC22D3, C9orf91, TMSB15A, NBL1, PTMS, BTG2, CHCHD6, SSU72, CBS, CSTB, LSS, ffiR2, RPL8, MPP3, RPL26, RPL29, ZYG11B, VANGL2, INHBB, KRTCAP2, UBXN7, RAD54L2, HMGB2, TLX3, RPS14, GPR85, PTTG1, BRI3, FOXK1, STOML2, SLITRK5, AMER2, SPINT1, RPL27A, MCM7, PLK1, DUSP18, GPX4, YIF1B, DAPK3, HDGFRP2, C19orf48, ICT1, TK1, ECU, ABC A3, SLC3A2, RPSA, RBPJ, DUS1L, USP47, CDCA4, RPS9, INSR, ATF7IP, FBXL14, RPS21, RPS7, C1QTNF4, BSG, MRPL52, RPL38, HECTD4, TRMT112, ADCY5, MZT2A, STQX2, UQCRH, CBX2, MRPLl l , BRSK2, FGFBP3, UBE2C, PACS1, CSRP2, TP53I11, ARL10, CCDC85B, LRRNl, SOX11, MTHFR, RPLP2, CHID1, RPS27, IMPDH2, EIF3K, AURKB, DPM3, CYC1 , CDH4, C17orf96, MY ADM, CITED4, FZD2, ZNF609, SSR4, TRAPPC5, MRPL41, SHMT2, YBEY, CEP97, RPL35A, SPATA13, CADM1, RUVBL2, PRR14L, FBXL7, CBX6, CNTN2, DUSP8, ARMCX2, SUM03, SIVA1, BRI3BP, MAFF, ZNF445, METTL7A, POMK, KRT10, PDE2A, RSBN1L, ZNF70, NCR3LG1, H2AFX, RPS2P46, FAT4, TOMM7, ARID5A, LAGE3, PDGFA, ZNF460, RPL37A, MYOIC, RPL12, VPS 13 A, RPS4X, 5-Mar, ZNF770, RPL23A, GFPT1, NRARP, MDM4, TTC37, DLL1, RPLIOA, MT-COl, KIAA1737, SREBF2, RPL39, APRT, ARMCX6, LSM2, HLA-C, GNB2L1, NT5M, MT-RNR1, ARL2, RP11-742N3.1, RPL41, RPS18, RPS28, EIF1AXP1, C4orf48, NME1-NME2, Clor£213, RP11-603B24.2, GAN, UBBP4, RPL17, RPAP3, CLCN6, CALCOCOl, TACC3, CAPN1, DEPDC1B, MY016, MXD1, ISOC2, ABCA7, ANKS1A, NDUFB4, PPP2R5B, ST6GALNAC2, VASHl , DAZAPl, PDCD2, LPHN1, HMMR, MCM2, CLASP1, NUP37, MCM6, BAZ2A, UBE2T, TNRC6C, CBFA2T2, KIF22, REX3, KAT6A, BAX, DOCK3, GCN1L1, RPLPO, KCNH4, TNRC6A, SLC22A17, HNRNPC, CREM, CDKN3, PFDN4, CDC25B, AHCY, LIPG, RBBP7, EEF1D, OLFM2, FBL, CLIP3, PTPRS, GRIK5, SIPA1L3, NUDT1, ABCA2, NSMCE4A, LGALS3BP, TMEM104, RPS13, PARP1 1 , ATN1, LDHB, MDGAl, GMNN, DNPH1, EEF1B2, CLIP4, ODC1, RPL22, MAD2L2, RIMS 3, RPA2, KMT2A, CESF3, CTNNALl, DNMT3A, BCL11A, FABP3, TRIM24, CSE1L, MRPS26, TRAPl, TIMM17B, DLGAP5, COX7C, TNFRSF19, PAICS, CDKN1C, KIF1A, PRRC2B, TMEM160, PLXNA3, RAB11FIP4, FLOT2, CTNNBL1, DSTYK, CCNB1, MYCN, RPS15A, MSI1, KLHL36, TTYH3, ANP32B, ARHGEF39, IFT172, METTL5, FAM117B, HADH, CLSTN3, ANP32A, SEC11A, NOB1, ANAPC11, BRD4, NiFIC, COL6A1, IGLON5, CASQ1, RPS27A, HES6, STK11IP, RPS3A, BTF3, RPL7, SIGMAR1, SEC 16 A, NOTCH1, SSRP1, TENM4, SIDT2, MZT2B, TMEM163, ZIC1, CCSAP, MARCKS, LARP1, ADAMTS3, CCT8, BUB IB, DYRK1A, SKI, CACHD1, NAE1, SPON2, RDH13, TONSL, USP24, FLVCR1, DAPL1, HIPK1, RPL9, RNF168, H2AFZ, CDC25A, NDUFAF2, MED30, UNCX, PSIP1, WNK2, PRDX3, GOLGA2, STIM1, MVD, KIFC2, HID1, SRRM2, CPLX1, HINT1, BUB1, UBE2E1, USP38, LRRN2, TRIM8, EXOSC1, SUCLG2, HCFC1, CHCHD1, DHCR7, CKS1B, RPL15, VCPIPl, LPL, RPRM, AGTRAP, ZBTB41, KLHLll, COX5A, ZHX2, DCTPP1, PPA1, GPR137C, SOX2, SNRPE, NIPSNAP1, CMSS1, HIST2H2BE, H1FX, SORCS2, NAT8L, RPS23, KIAA1598, AGRN, TUBB4B, GTF2F2, SPATS2L, PLXNB2, PCNXL3, ADH5, SPG7, WDHD1, OSTC, PJA2, C6orf25, CCHCR1, DDR1, ATXN2, ZBTB10, AP000350.4, ARHGAP23, CTD-2328D6.1, RPHB6A, H2AFJ, HMBS, FLJ00418, RP11-574K11.27, MPND, KALI, SLC25A39, PLEKHA5, TMEM161A, TRAM1, GSTP1, CPXM1, CRKL, ADRBK2, CST3, TUSC3, PLIN3, RABAC1, P2RX3, CD81, ACAP2, FNDC4, IGFBP2, OBSL1, IQSEC2, STK35, ABHD17A, NINJ1, CTSL, CASC5, TET1, LGR5, MFGE8, FKBP10, ADAM 15, BOC, PAM, CHST7, GSTOl, SERPING1 , ATM, FARP1, LSM11, RHPNl , IGF2BP1, CCNF, CLPB, ffiR5, BDH2, SPRY1, CITED2, BRWD3, IFI27L1, TMED3, HSP90B1, MFSD3, SERINC2, RP1 1-220D10.1 , GLB1, ORMDL3, B3GNT1, ZBTB18, HIST1H2AC, SKIDA1, GLRX5, GSTT1, HIST1H1C, ZNF292, INPP5F, SYT15, TMEM256, HLA-A, RP11-848P1.7, CACNA2D2, CYB561, FAM65A, AKR7A2, PLEKHH1, PFKP, HYAL2, ATP2B1, RIF1, ZFAND6, NAT 14, GALNT16, PGRMC1, NECAB2, TMEM205, TMEM147, POLD2, INTS2, B9D1, EFNB3, MAP2K6, ELP4, KHDRBS2, ERGIC1, MAPKAPK3, TMEM9, PLAGL1, ENKD1, MPST, CDOl, STK33, BEX2, TMTC1, PPP1R1A, FOXP4, CPNE2, SCRN2, ARRB2, RPL13A, PHIP, EBP, CETN2, IMMP1L, UHMKl, CFDPl , OXA1L, ELMS AN 1, UBXNll, C21orf59, UBXN1, FABP7, TMUB1, HGSNAT, DPCD, RPL13, RCOR2, CET1C, UBB, DENND5B, PAQR8, ZNF672, TBCA, VAT1L, LRRC20, NDNF, VPS37D, KIAA2018, C8orf59, MLF1, NDN, NR2F2, MORN2, RPL14, ARID2, C20orf96, MY06, HIST1H2BK, ZNF587, ZNF521, FANK1, FAM19A5, PLEKHM1, WBP1, ARHGAP44, EXTL3, EML1, KLF6, NCK2, FSCN1, FGFR1, TPX2, SLC25A1, DICERl, MIDI, ABCC1, STX10, TBC1D9, ECT2, KIAA1324, PKNl, AH3DC1, TMEM8A, JUND, PAK4, TOP2A, SPATA6, RIN2, WASF3, CDCA8, GLUL, RAC1, NRM, KIF11, CENPE, REM2, EFHD2, ALDH9A1, RALB, CDCA7, MYO10, RNF44, DENND2A, TCF7L1, ΚΓΓ, CACNA2D3, WASF2, RACGAP1, WNT4, PKDCC, SRGAP2, CDCA7L, MID1IP1, DACH1, TMEM130, C18orf54, TMEM194A, TTYH1, RAC3, CDK1, VEGFB, DPY19L1, GNG7, CLVS1, JUN, GRINA, LDLRAD3, WSCD1, BAIL 9-Sep, ADARBl, SH3BGRL2, CLIC1, Clorf226; Cluster 7: SYT13, PRDM1, TLE2, CD82, SLC17A6, SEZ6L, GPR50, CALB1, RASD1, INPP4B, PTFN6, CSMD2, SSUH2, STAT5A, ASS1, GMFG, KIAA1644, FOXN4, CBLN2, PPP1R1C, PPP2R2B, ALPL, BRINP3, HEYL, TMEM74, PTCHD1, SLC7A3, ZNF488, ISLR2, RCAN2, CHST1, BEGAIN, SLITRK6, TMEM173, DLK1 , CXXC11, HIST1H4A, HIST4H4, SMOC1, GRIN3A, RN7SL262P, WI2-2334D6.1, ZMYND10, DNAH9, TFAP2B, SNCB, C20ori26, PPP1R17, KIAA1244, GPR83, CCNA1, LMX1B, NR4A2, FGF17, ZFYVE28, SLC6A5, GSX1, VSTM2A, KCNS3, CALB2, ZIC4, RTP1, ST8SIA3, CPNE4, Clorfl86, CACNA1E, BRINP2, SFMBT2, ONECUT3, RPL5P18, RP11-408A13.1, RP11-331F4.4, CTC-512J14.5, CTBP2P7, RP1 1-460N20.7, SYT7, SLC11A1, OAS1, FAM83E, GABRG2, SLC30A3, IQSEC3, ISLR, MTUS2, CDH18, CRH, VCAMl, SHH, NSD1, INSM2, RP11-551L14.L RGS7, GRIN2A, FAM162B, ZBTB7C, Cllorf87, BEND4, PTPRT, SLC6A17, RNY3, DAZAP2P1, AC093106.5, SALL3, CAMK1G, RPH3A, RIMS4, MAP1LC3A, C7orf63, NMU, PRRX1, CLYBL, DPP6, SLC43A3, GPR6, ADHFE1, FAM84A, NEUROD1, MY01D, OTOS, FAM43B, TCEAL2, LEMD1, ERICH2, LRRCIOB, SLC18A1, PARP12, EYA4, NKX2-1, SLC13A5, FZD9; Cluster 8: ICA1, CROT, NFIX, AKAP11, VCL, 2SLN, DKK3, EIF2AK2, KMT2C, ATP2B4, LZTS1, TRHDE, FRYL, TMEM131, PAG1, GPC4, ACER3, TNS1, LRP2, EPB41L3, NCOA1, CCDC80, XYLB, FKBP5, LGALS1, MYL12A, DGKH, KATNAL1, HSF4, NFAT5, QPRT, IMPAD1, PLAT, ITGB8, GLIS3, PDLIML SFXN3, MED 13, CLCN3, CPTIA, HIPK3, PPFIBP1 , TENCL CUX2, LOX, PCDHB5, CDH6, LIFR, WNT5A, FOXP1, TANC1, ERRFIl, ASH1L, SLC35D1, GADD45A, TROVE2, NIDI, PRDX6, AVPI1, TSHZ3, BICCL MED13L, TOX2, PMEPA1, Clorf61, AG03, CDC42EP1, PODXL, ATP1B2, PVRL2, ROCK2, LRP4, MDM2, SKIL, KLF4, IFI44L, SECISBP2L, NAAA, CNOT6L, JDP2, FAM181A, TPM1, MAPK4, IFITM3, ST6GAL2, CNGA3, COL8A1, SFRP2, PLK2, SDK1, NFIB, SERPINHl, ARID5B, LPHN3, PRSS23, ANKRD50, ZNF827, Ί3ΒΠΧ, STARD9, ACOX1, SHANK1, ADCY9, RFTN2, GPR155, GPR98, HEY1, FAM219A, ABCA1, PCBD1, TUB, CASC4, PLEKHA2, ANTXR1, FOS, CYTL1, GAA, CXXC5, ID4, LRRN3, PEAK1, HEG1, RNF213, PHLDA3, PRIMAL ZDHHC21, NCKAP5, ADAMTSL1, PLEC, TSHZ1, RNF182, AEN, FAM181B, PAPPA, CAMK1D, UPP1, KREMEN1, PCDH9, ROB02, ΠΤΓΜ2, POU3F1, HEXIM1, ISG15, PTAR1, PDLIM7, SRGAP1, SERTAD1, PGAP1, ZNF624, HHLA3, FAM49A, MAN1A2, HELZ, BMPR2, PTCHD2, C5orf51, TAPBP, ZNF585B, FRRSIL, RP11-173M1.5, AFF4, NOTCH3, SEMA3A, CELSR1, GPR137B, OPHN1, MYOMl, SMAD7, SGK3, LAPTM4B, WNT3, RAB34, PPARGC1A, SH2B3, RFX4, NEDD9, SPARC, NR3C1, WWC1 , RBP1, PIKFYVE, IGFBP5, FHL2, ID3, CHST3, CHPF, USP9X, FOXP2, PDE11A, MPP1, PTGFRN, GNS, RGS8, PAX3, TFAP2A, SCARB2, PHLDA1, GAS2L3, IGF1R, NKD1, CREGl, RAB13, ΓΓΡΚΒ, UNC80, MTFR2, ADM, WNTJ7A, PIEZ02, ARSE, UBN2, MEGF11, FNDC5, AGPAT3, FDXR, NEXN, SLC15A2, EDIL3, IKBIP, CERCAM, LTBP3, SOGA2, PGM2, SDC2, NRIP3, TOM1L2, CRIPAK, DDX60L, AP1S2, ZNF703, MAML2, RPS27L, ERAS, ZNF573, SLC35F1, GAL3ST4, LRP10, TEAD4, COL5A2, AC092675.3, PET100, C9orfl72, APOBEC3C, RP11-266L9.6, RP11-51F16.9, GRN, AN02, TNFRSF1 A, LAPTM4A, EPHA6, IGSF9B, PLODl, CD59, MMP2, HEPH, PLTP, CDK6, MAP3K8, MDFI, FN1, WLS, CA14, SLC16A7, SMAD9, ADCY7, SLC12A4, CDKN1A, ID1, SORT1 , PRCP, FURIN, EMP3, SELENBP1, LHFPL2, GSN, RHOC, TAGLN2, SHC1, PDPN, IGSF8, PBXIPl, CTSB, BAALC, C9orf89, ZNF503, UBTD1, HTRA1, B2M, LAMB2, FIGN, NOG, CSF1, PROS1, NPIPB4, ANXA6, HTT, COLGALT2, S1PR3, RP11-274M1.2, PRR24, CTD-2021H9.3, CFLAR, PLXND1, ITGA3, PROM1, MRC2, SAMD4A, GCLM, LIMA1, FOXN3, RC3H2, PPP1R12A, MY09A, ROCK1, MAST4, NEDD4, PTPN21, MCAM, PPP1R12B, SERTAD4, OSBPL8, MIC ALL 1, MYH9, EP300, PCNX, DNAJC3, PIEZOl , DENND3, ZC3HAV1, PRKAG2, ACTA2, SH3PXD2A, SHOC2, GAB1, MAN1A1, TMEM30A, LAMA4, MAN2A1, KAT2B, GNB4, ΓΏ3Α4, PKD2, SATB2, C1orfl98, TGFBL F AM 126 A, FKBP9, GLIPR2, ARFGEF2, PALLD, ZSWIM6, ClQLl, RARA, RHPN2, TRIM22, LOXL2, ARHGAP32, TMEM2, TLN1, SYTL2, SORL1, THBS1, AMIG02, URB1, RGL1, LYST, LPP, CAMK2D, SPATA5, SETD7, BDP1, TMEM47, GABRQ, NACC2, SLC5A12, CAPN5, LATS2, LYPD1, CRIM1, WWC2, PTPN14, DDAH1, SAMD8, B4GALT5, LARP4, NFIA, LMB&D2, RHOBTB3, DLC1, TP53INP1, KIAA1958, SLC16A9, ARHGAP42, ADAMTS15, NAV2, VWCE, HOOK3, STAT3, ADAM9, RALGAPB, PFKFB3, ZNF440, AFF1, LCLAT1, NUDT4, DPP10, SOCS4, POLR2A, HS3ST4, GPC6, WBSCR17, B3GALTL, TSC22D2, POTEF, IGF2R, S100A10, CASC10, LGR4, ZNF611, RP11- 274B21.4, MICAL3, NPIPB5, RRAGD, BCAR1, BCAT1, ITGB5, ABLIM1, KLHL4, PMP22, FAM46A, EVA1A, ID2, LOXL1, CASZ1, FLNB, TNFRSF21, MGAT5, PLEKHG4B, STEAP2, FSTL1, NNMT, LDLRAD4, PXDC1, KIRREL, GAS£L1, SAMD11, TMSB4XP8, POTEI, AL627309.1 , TMEM158; Cluster 9: CD44, CP, ASB2, GHRHR, CRYAB, FOSB, EMILIN2, GALNT6, ADAM 12, HNMT, EVA1C, FOSLl, MGAT4C, DPYD, CFI, AL590762.6, RP11-460N11.3, ARHGDIB, FGF1, HOXB3, RHCG, ANKRD1, OR51E2, CCDC36, SSC5D, AFP, BATF3, GFAP, A2M, CHSY3, HIST1H3A, C3orf72, RP11-289110.2, RANP1, AL807752.1, ARAP2, SP100, SYWJ2, HOXA9, PDGFB, EBI3, CAV2, CAV1, SERPINE1, SLC35F2, STEAP3, NPPB, LRAT, CPA4, ITGB4, NTS, DOCK2, PARP9, GLIPR1, FBLN5, NLRC5, PLAC8, FLU, HSPB8, MAP3K7CL, RUNX1, SLC25A45, FAM198B, TMEMIOO, GREM1, HR, IL7R, MT1E, PDE3A, ARSJ, C12orf56, CLDN24, COL14A1, C15orf52, COL13A1, PDCD1LG2, ALPK2, LAYN, HMGB3P11, RP11-302K17.3, AC068219.2, RP11-255N24.4, RP11-336N8.4, RP11-745A24.2, HOXA10, CTD-2014B16.3, AC093323.1 , CTC-412M14.6, CASP8, CRHR2, AOX1, IL6R, ADRA1D, C5orf46, RGS6, COL25A1, RBM20, TBC1D3B1 Cluster 10: ARHGAP33, CREBBP, CCDC124, PSMBl, SPAG9, MAMLD1, STMN4, RUFY3, POU2F2, SARS, ARID4A, TMSB10, TIMP2, TRIO, AP2S1, KIAA2022, SLC4A8, PHPT1, PTPRN, KIF1B, ATP9A,¾SD, HIPK2, SLC12A2, ANKRD44, HSD17B10, CRMP1, CA12, ZZEF1, C19orfl0, KCNQ2, RASAL2, CACNG4, KTFAP3, DCX, CAPZB, RUNX1T1, SMARCA2, SESN1, KIF3C, ORC1, PPP1R15A, GNAOl, C20orfl94, ERP29, SPAG7, ORC6, AGOl, DPYSL2, MRPS18A, ACOT7, NDUFB7, POLR2E, 3-Sep, XBPl, TNRC6B, PHF5A, MYBL2, EEF1A2, TRIB3, MANBAL, DNTTIP1, ANKRD12, PCSS1N, ZNF423, COTLl, SLC7A5, COR02B, AP3B2, STMN2, TUB B 4 A, NOVA2, C19orf53, FAM32A, CCNE1, CDC37, GRIN2D, DKFZP761J1410, RAB3A, COPE, SSBP1, COBL, GARS, BCL7B, FKTN, MEGF9, EDF1, ARHGAP21, SORCS1, AATF, RUNDC3A, PFN1, CPE, FRG1, TRIM2, NRXN2, DDX6, CARS, AIP, ALDH2, TMEM14C, SERINC1, CPEB4, PRKAR2A, INO80D, LAMTOR2, KIBSIB, MRPS15, HMGN3, CNR1, KLF12, GRIA2, MTHFD1L, DPPA4, SLITRK3, DDX39A, PLP1, SNRPC, PPDPF, SNRPB, DYNLRB1, RBM42, PRDX5, PIN1, ECHS1, SHFM1, ATF4, LRRC17, VPS13C, CDKN2D, GAMT, NSUN5, TULP4, OLFM1, SESN2, ATPIF1, GSE1, KIF3A, MAP1B, PCNA, SYT11, CHL1, KIDINS220, YARS, NREP, CCDC64, CCT7, KIAA0513, EGLN1, ITM2C, COX5B, NACAD, TXN, STXBP1, PSMB7, MYC, CNPY3, TUBB2B, UQCC2, PPP3CA, KIF21A, PPFIA2, SETD1B, VPS37B, HERC2P2, ZFHX3, CMTM3, NDUFB10, EIF4A3, ADAMTSIO, PSMB6, POU2F1, SNX27, VASH2, NVL, SOX13, PLEKHA6, TMEFF2, NBEAL1, IQSEC1, NDUFS6, PPIP5K2, ST18, LIN7C, ZC3H12C, NCAM1, SOGA1 , GPM6A, WDR17, DLG5, ACSL1, SETBPl, EPG5, UBALDl, PRKCA, AFF2, KIF5A, EXOG, SMG1, RBPMS, CCNB2, SLC35B2, PSMG3, TPRG1L, KCNB1, DMTN, PSMD4, CELF3, U2AF1, CELF5, C16orf59, ZSWIM5, MKl, DRAXIN, NFASC, CLASP2, CADPS, WDFY3, NDUFS4, ACSL6, KIAA1161, PGM2L1, KBTBD6, DACT1, SALL2, PSMC3, DCHS1, CRABPl, BLCAP, MAPI A, SNRPD1, TBC1D16, ATCAY, MLST8, FTH1, POLR2G, PAFAH1 B2, KIF5C, DTYMK, NDUFS5, RNF181, ATP5I, ATF5, MN1, ZRSR2, ONECUT1, CTNND2, OTUD7A, SF3B5, CHD3, NSG2, RNF150, LONRF2, SMAGP, C9orfl6, GRJK1 , SCAND1, PPIH, GAP43, MOB3A, POP7, MYEOV2, PPP1CA, NBEA, MRP63, FKBP2, SPTBN2, GNG5, NDUFA11, ZNF25, DRAP1, RAB6A, AURKAIPl, SPHK1, CDK5R1, POLR2L, C12orf68, ASB8, PDE4DIP, GADD45GIP1, NOP10, RGMA, ARL6IP4, SOX1, ABAT, BCOR, MRPL54, UQCR10, TSPYL2, 5-Sep, NDUFA12, FAF1, NRG3, TRIM69, NDUFA13, GNG2, NF2, LRRC16B, MAPT, RPS1¾BP1, MRPS21, DCC, TET3, THSD4, EIF4EBP1, DNER, LAMTOR4, LDOC1L, UROS, BLOC1S2, MYT1, LCOR, XRCC6, ARHGEF12, ZNF398, MRPL21, PHF2, RPS26, UBL5, ASNA1, ZNF536, STK39, SLC9A6, MT-C02, MT-ND2, MT-ND3, TOX, RUSC2, TSEN15, MT-NDl, L1CAM, POU3F3, CCDC167, PHACTR4, ZBTB12, GPR56, LCMT1, MRPL23, C14orfl32, C19orf24, AC079250.1, TMA7, G5X1, AKAP2, PEGIO, RP11-274B21.1, XKR7, TMEM178B, MRPL12, RN7SL2, LRRC37A16P, CICP14, LAS1L, NDUFAB1, SLC25A13, ST7, POLR2J, MAP3K9, MGST1, POLA2, MDH1, TOMM34, FUT8, PHLPP2, PSMA4, RFC2, ARID1B, FAM168A, NOP58, YBX1, HDAC4, POLR1A, C16orf80, WSCD2, SLC46A1, NAALAD2, EPB41L2, SRCAP, NDC80, PHLPP1, GSK3B, WBP11, TAF9, AK¾4B1, AURKA, GNA11, SLC23A2, SEMA6A, CDC45, CEP170B, RTCB, DDHD1, NOP56, E2F1, SYP, SMS, MMP15, ASF1B, SHD, LIG1, RUNDC3B, CHCHD3, CLIP2, PHYH, CUEDC2, BCCIP, EBF3, GLRX3, MTMR4, RAI1, PPP1R9B, MRPL27, FZD10, COX6A1, SASH1, FBX05, OPRM1, SRF, TTK, IRX4, PDCD10, ATP6V1A, SLC4A3, SF3B14, PSMD14, PDE1A, SPTBN1, ST3GAL5, BIRC6, SRSF7, SLC1A4, PARK7, SMG7, ST6GALNAC5, RPF1, CENPF, NDUFA8, SLIRP, MAPK8IP1, KIAA1549, C19orf43, SOX4, SNRPB2, UROD, STYXL1, FAM64A, GNL3L, KIAA1683, RLIM, ZFYVE20, UTP3, ARHGEFl 1 , NASP, SYT4, POMP, CHRM3, TIMM10, MPHOSPH6, PLXNC1, BZW2, NUSAP1, SLC44A5, COX17, SNRPF, TARBP2, DISP2, GCSH, ZCCHC14, COPS3, PIP4K2B, SOD1 , DOPEY2, SAE1, LMTK3, PSMA5, CELSR2, SEMA6C, HAX1, ILF2, PYCR2, SNRPG, TPRKB, UBR3, LRIG1, TAGLN3, LYAR, C7orf50, CCT6A, NDUFB11, POLR2K, FAMS7B, CCT5, AKAP6, MLF1IP, ACSS1, DBI, ADK, ZNF618, ALG8, FLAD1, ADAR, SHANK2, Cllorf48, MAGOH, BOLA3, CCT3, PPM1L, THOC7, PPM1K, LSM6, EBF1, T MEM 200 A, FABP5, LMTK2, CSMD3, COX6C, DCAF13, RPP25L, ZNF367, RPL36AL, ATP5C1, WEE1, KMT2D, MPLKIP, CDK5R2, MAP6, COQ2, PARP14, DAG1 , INSM1, RGMB, ZCCHC12, ARHGAP1 , ZBTB80S, TALDOl, SRR5M3, SEPW1, CDC42EP4, C7orf41, RTKN2, CECR6, PSMG1, NDUFB1, TRAIP, CHEK2, LRRC55, GPR173, POU6F1, ZNF93, APOO, NDUFA6, MAPK11, SBKl, NDUFA4, LITAF, SLC35E2B, PPIA, ELAVL3, AFAP1, MY018A, HNRNPAB, RPF2, GRM3, MT-C03, CENPW, QTRTl, PAM16, NMEl, ATP5J2, EIF6, RGAG4, TUBB3, MYCBP2, E2F2, PAX7, NUP160, HSPA5, CELF2, MON2, SNAP91, RAP119AP, MAP2, SEMA5B, NKAIN1, ZFHX4, HECTD1, DAAM1, USP31, PON2, PTN, TSPAN13, NCS1, DTX4, GNPTAB, BACH2, DNAJC16, MYL12B, ATAD2B, CXCR4, ZC3H13, FGF13, SYNE1, ACACA, PIK3C2B, STARD13, AG04, RNFT2, URB2, ARRB1 , RASGEFIB, SRRM4, G6PC3, ABL2, ZNF462, KLHL35, ANK3, SACS, PDLIM3, ZKSCAN2, GAREML, AUTS2, SV2A, VMA21, NOL9, CAMKIN1, RPRD2, TRIM66, MAPRE2, IRGQ, MIDN, SLC43A2, GNG4, FAM161 A, ZNF562, MYD88, WSB2, CTXN1, PAK2, TRAK1, CD24P4, BCAP31, SLX4, WNK3, VEPH1, SPTANL MBP, Clorfl22, RPS6KL1, RN7SK, BTBD17, KLHL23, ZNF324B, AC007382.1, ARF5, BTBD7, DIP2B, ERC1, KLHL42, TTC28, CHMP4B, MAGED2, TOX3, PIK3R2, CHCHD2, KIAA1211, COR01C, C12orf49, RGS2, CAMSAP2, SNX19, BAZ2B, SLC36A1, DGCR6L, RABL5, SH3BP4, VSTM2L, MICALl, TCF12, RERE, ATP1B1, MGST3, CDC42BPA, TCF7L2, PIP4K2A, ASAP1, KLHDC8A, H3F3A, GTF2A1, NEMF, CYB5A, ZNF91, TSPAN5, YWHAG, AKAP13, MGA, SSNA1, CTNNBIP1, FNBP1, SRGAP3, NLGN3, NTNG2, MVB12B, SFT2D2, SCRT2, Clorf233, RP11-274B21.3, ETV5, ETV1, ST3GAL1, NRXN3, LTBP1, HOMER3, KCNH2, PHF21B, TRIB2, RBFOX2, PLCB4, CACNG7, PTPRZ1, STIM2, CCDC34, FOXM1, TBC1D30, DPYSL3, NRP2, CNTFR, ACSL3, HS3ST3B1, DACH2, AIF1L, AKAP12, SH3BP5, PDZD2, SERPINE2, SSFA2, LM04, SFXN5, SCD5, CDCA5, CACNA1B, FREM2, THY1, MMP16, SLC37A1, NTNG1, KLF15, CAMKV, PBX3, DHRS13, CHST1 1 , TPPP, SEZ6L2, KCNA2, ZNF48, CUEDC1, LIMK2, GRID1, SPNS2, CEND1, SLC6A9, CALM1, LDB1, PLXNB3, SHISA4, TMSB4X; Cluster 11: THSD7A, DPF1, CNTN1, LR¾C7, RAB27B, LM03, CAMK2B, REEP1, ADCYAP1R1, OSBPL6, SLC1A3, MOXD1, WDR47, PHACTR3, CHGB, FXYD5, ΡΓΓΡΝΜ2, NRCAM, UNCI 3D, SORBS1, TRIM9, CHGA, DOK5, RASSF2, PAK7, CELF4, PCYTIB, RHOV, ATP 1 A3, ELAVL2, SEMA5A, HBEGF, CSPG5, SGIP1, PCDH17, DUSP4, PREX1, GDAP1L1, MT2A, SOX21, TMOD2, CHAC1, RHBDF2, NCAN, UNC13A, RFTNl, SNAP25, DCLK1, TAOK3, FAIM2, SPRY2, EDNRB, RAPGEF5, HCRTR2, TUBB2A, SLC05A1, LBXl, DUSP6, ASCLl, RTN1, TGFB1I1, ASXL3, GREBIL, CBX4, AFF3, SCN1A, 4-Mar, ZNF300, CPLX2, TENM2, PSD2, CSGALNACT1, SNX30, EN A, GRIK4, NPAS3, PTPRO, AN04, GFRAl, SPARCLl, SCN3A, ANKFN1, PCDH1, NMNAT2, SYNJ1, ELAVL4, BSN, LRFN5, ABTB2, SVOP, SCM3B, MGAT5B, GPRIN1, KCNAB1, IRX2, NEGRI, RND1, ARPP21, RALGAPA1, GALNTL6, SPSB4, RIMKLA, TMTC2, NRXN1, SLC8A1, RALYL, FAM174B, MYT1L, MT1X, Cllorf96, FAM69C, SHISA7, NHS, S100A16, GPR123, STMN3, C21orf62, TRIM71 , SOGA3, PLXNA4, RP1 1-323D18.5, RN7SL721P, HECW1, KLHL13, ARHGAP31, RIMBP2, PLXNA2, KIAA0020, ABCB1, DLL3, NAlsCN, SMPD3, SCG3, NEFM, APBAl, HGFAC, SLC1A2, ULBP1 , CHD5, F3, ONECUT2, MND1, PDZRN3, ATXN1, SYT5, FST, BAI3, GAD2, SEMA6D, ST8SIA2, PMAIPl, CACNG8, 1-Mar, FRMPD3, SYBU, NTRK2, THRB, SLC6A1, SHROOM4, CHRNB2, KCNJ9, KIF26B, PTX3, PCDH19, GABRB3, CACNG2, SLC16A4, DCLK2, EMB, SCRT1, FGGY, ABLIM3, TMEM196, TTC9B, FIBIN, SLI1¾K1, CPNE7, SLC17A8, NTM, GPR19, MANEAL, C3orf70, MAGI2, NKAIN2, PCDHB16, SZT2, PPP1R14C, AC006547.14, ATP5F1P5, ANK1, LIMCH1, SNCAIP, FRY, ACTL6B, KCNK2, NIN, PAPLN, SALL1, NPTX2, SUSD1, KIAA1549L, PTPN5, PRMT8, UHRF1BP1L, FAM65B, FGF12, DLGAP3, DNAJC6, PTCH2, PIK3R3, PROX1, CNRIP1, UTP20, RAB9B, TMX4, DOCK4, MTUS1, ATP8A2, DUSP26, UNC79, DTX1, GABBR2, PAK6, HCN4, TMEM132B, INTS7, MEIS1, ANK2, TACC1, CDH8, PRDM8, EPHB1, PTPRN2, GRIA1, C10orfl2, FMN2, ELMOl, KALRN, PRICKLE2, ADCY1, HSPA12A, TET2, CXXC4, STK32A, ZEB2, MCC, ARNT2, SCUBE2, PCSK1, ETV4, PGBD5, KCNJ10, BEND3, KCNH8, KCND2, POU3F2, PDE4B, PTCHl, PCLO, SLIT1 , LUZP2, FBLL1, SHISA6, GREBl, POU3F4, C15orf59, NPTXR, SMIM13, RN7SL532P, TMEM179, GPM6B, CAMK2A, SLC4A4, MTMR9, DFNA5, CPEB3, HCFC2, APC2, SLC8A2, CPNE5, TRBC4, MEIS2, APC, MAP7, FAM129A, LM07, PLCE1, NOVA1, ZNF41, MYOIE, RCAN1, VSNLL ADORAl, RNF180, FAT3, SMPD1, RAB31, ALCAM, PCDHB13, MY05A, SLC35F6, EML6, FXYD7, RP1 1 -578F21.12, PRKAR2B, SOX8, HIVEP2, MYL7, BCHE, KCNIP2, CDKN2C, PDE1B, LANCL2, BEX1, PCDH10, IGSF11, CBWD5, RAB3C, NRGN, KCNMAl, ARHGAP27, KCNF1, PPIP5K1, GRIN1, PLEKHM3, CSRNP3, NAP1L3, SLC18A3, ANKRD36B, FAM212B, ELOVL2, LPARl, GRK5, C2ort72, UBE2QL1, LYN; Cluster 12: MEF2C, TESC, ANKRD24, DLX2, PAX8, BCAN, NT5E, GPR45, DUSP5, MTTP, SNTG1, FZD5, GRIK3, SCN9A, NPAS4, XKR4, BRINP1 , NOX4, GLRA2, RHOJ, DDC, PCDH8, SCN2A, NOV, ABCA8, GLRA1, CNTN5, SLC45A2, EN2, C1QL4, DPF3, RP1-161N10.1, CYP26B1, SEZ6, NTN1, RIMSL MLC1, SLC32A1, PPP1R16B, ACSBG1, HOXA2, GAT A3, ELMOD1, PDE4D, LPPR4, ATP10B, SPP1, VSX2, LAMP5, FGD3, VGF, SLC6A11, HRK, CD36, DOCK10, SCML4, NKX6-2, GRID2, GRIA4, STK32B, LHFPL4, SIOOB, AKNAD1, EN1 , NKX6-1, PRSS12, HPGD, PDZRN4, NETOl, GRM5, C8orf46, KCNK3, KCND3, DSCAM, IRX5, IRX3, AMER3, CHRM2, ΖΒΈΒ20, SLITRK2, SPRY4, C2orf80, CTD-3088G3.8, PAX5, SPOCK3, ESRRG, DCHS2, SP9, AC080125.1, RP11-460N20.4, RP11-384K6.4, VN1R84P, GRIN2B, TNC, CAPN3, TLL2, SYNDIG1, ST8SIA5, STS, DRP2, PLCLl, GBP3, ITPR2, GRM4, ARHGEF6, ANOl, MICAL2, SPOCD1, DYSF, DLX1, DOCK5, MFSD6, GUCY1A2, ANGPT1, DGKI, IFI16, SCRG1, CACNB2, GPR64, SUSD5, CSMD1, SP140L, MUC19, M&H3, TPO, LPPR5, NR4A3, ESRRB, FIBCDl, SLC01C1, GFOD1, GPR158, GRIK2,
NELLl, GBX2, ALK, GATA2, RYR3, ISPD, AC018470.1. Table 1
HES5+ vs. HES5- expression intensity ratios during NSC progression
Figure imgf000153_0001
Figure imgf000154_0001
Figure imgf000155_0001
Figure imgf000156_0001
Figure imgf000157_0001
Figure imgf000158_0001
Figure imgf000159_0001
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Figure imgf000164_0001
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Figure imgf000166_0001
Table 1: HES5+ (HES5 expressing cells) vs. HES5- (HES5 not expressing cells) expression intensity ratios during NSC progression. Provided are the log 2 scores of the ratios between the two population of cells (HES5+ versus HES5-). Genes whose expression is overrepresented in HES5+ cells compared to HES5- cells at the different stages are shown. Results are arranged according to the gene clusters at each developmental stage from genes highly expressed in HES5+ cells to those less expressed in HES5+ cells. The intensity level of each gene in ES cells was subtracted from all values prior to ratio calculation. Representative polynucleotides (Polyn.) and polypeptide (Polyp.) sequences for the indicated genes are provided.
Table 2
HESS- vs. HES5+ expression intensity ratios during NSC progression
Figure imgf000166_0002
Figure imgf000167_0001
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Figure imgf000202_0001
Figure imgf000203_0001
Figure imgf000204_0001
Figure imgf000205_0001
Figure imgf000206_0001
Figure imgf000207_0001
Table 5
Sequence information of additional genes
Figure imgf000208_0001
Table 5: provided are representative polynucleotide and polypeptide sequences of genes of some embodiments of the invention.
SUPPLEMENTARY DATA CONTAINED IN A CD
Supplementary data 1: Summary statistics and overview of all datasets generated for this study.
Supplementary data 2: Gene expression levels in FPKM for all RNA-Seq datasets used in this study based GENCODE annotations.
Supplementary data 3: TERA scores for all epigenetic marks individually as well as averaged for all NPC stages as well as H3K27ac and H3K4me3 based scores for most REMC cell types.
Supplementary data 4: shRNA screen raw data and evaluation.
Supplementary data 5: Gene set enrichment analysis for predicted individual
TF binding in dynamically regulated H3K27ac regions at each stage.
Supplementary data 6: Global gene expression arrays for HES5+ and HES5- populations during NSC progression. Gene expression intensities for ES cells as well as HES5+ and HES5- cells during 220 days of propagation in vitro. Normalized and collapsed log2 transformed probe level intensities are shown.
Supplementary data 7: RNA sequencing analysis for cells in all developmental stages and their differentiated progeny in FPKM. Global Gene
Expression PROGENITORS AND DIFFERENTIATED PROGENY RNA SEQ.
Although the invention has been described in conjunction with specific embodiments thereof, it is evident that many alternatives, modifications and variations will be apparent to those skilled in the ait. Accordingly, it is intended to embrace all such alternatives, modifications and variations that fall within the spirit and broad scope of the appended claims.
All publications, patents and patent applications mentioned in this specification are herein incorporated in their entirety by reference into the specification, to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference. In addition, citation or identification of any reference in this application shall not be construed as an admission that such reference is available as prior art to the present invention. To the extent that section headings are used, they should not be construed as necessarily limiting. REFERENCES
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Claims

WHAT IS CLAIMED IS:
1. A method of isolating neural progenitor cells, the method comprising:
(a) culturing pluripotent stem cells having been transformed to express a Notch-activated reporter under culture conditions suitable for differentiation of said pluripotent stem cells into neural progenitor cells; and
(b) successively isolating progenitor cells of interest based on activation of said Notch-activated reporter.
2. An isolated population of cells comprising at least 10 % HES5+ cells, wherein said HES5+ cells are:
(i) early radial glial (E-RG) cells;
(ii) mid radial glial (M-RG) cells;
(iii) late radial glial (L-RG) cells; or
(iv) long term neural progenitor (LNP) cells.
3. The isolated population of cells of claim 2, further comprising HES5+ neuroepithelial (NE) cells.
4. The isolated population of cells of claim 3, wherein said HES5+ NE cells are capable of differentiating into HES5+ E-RG cells and into HES5- central nervous system cells neurons.
5. The isolated population of cells of claim 4, wherein said HES5+ E-RG cells are capable of differentiating into said HES5+ M-RG cells and into HES5- neural progenitor cells.
6. The isolated population of cells of claim 2, wherein said HES5+ M-RG cells are capable of differentiating into said HES5+ h-RG cells and into HES5- intermediate progenitor cells (INPs).
7. The isolated population of cells of claim 2, wherein said HES5+ L-RG cells are capable of differentiating into said HES5+ LNP cells and into HES5- neurons and astrocytes.
8. The isolated population of cells of claim 2, wherein said HES5+ LNP cells which comprise HES5+ adult neural stem cells (aNSCs) and into HES5- neurons, oligodendrocyte and astrocytes.
9. The isolated population of cells of claim 3, or 4, wherein said HES5+ neuroepithelial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: TOP2A, HIST1H4C, TREVI71, PPIG, MLLT4, TNC, CDK1, OIP5, GDF15, MCM6, TP53TG1, FAM83D, FANCI, GINS2, KDM5A, GSTM3, FAM64A, LIMS1 , CENPH, KIF2C, ATAD2, DTL, CDCA5, ARHGEF6, LIPA, POLE2, RRM2, MAD2L1, CKS1B, TTK, DHFR, S100A4, NUP37, PMAIP1 , CENPN, RNASEH2A, BST2, MCM10, MAF, KIAA0101, C80RF4, E2F7, CENPA, UBE2T, RAB13, TMEM126A, MAGT1, CDC6, C60RF211, RFC5, PSMD1, HMMR, UNG, UBE2C, GINS1, AURKB, LEPRELl, SBNOl, ZWINT, MKI67, CCAR1, FKBP5, PVRL3, CCNB1, NOP58, COL4A1, GGH, LSM6, EID1, GPX8, STC2, CD276, HS2ST1, EIF5B, HDGF, and NOL7 as compared to the expression level of said at least one gene in HES5- differentiated cells obtained by culturing undifferentiated pluripotent stem cells (PSCs) under culture conditions suitable for differentiation said PSCs into HES5+ neuroepithelial cells.
10. The isolated population of cells of claim 2, wherein said HES5+ early radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: NR2E1, HES5, ARX, C10RF61, FRZB, GRM3, EPHA3, NAV3, EGR2, RGMA, NRXN3, F AM 107 A, FABP7, EGR3, ZNF385B, TTYH1, SNCAIP, NRARP, PLP1, LIX1, LFNG, HES4, CD82, HS6ST1, PTPRZl, CACHD1, DACH1, FEZF2, DTX4, FUT9, WNT5B, ENPP2, POU3F3, EMX2, MECOM, XYLT1, ARMCX2, FOS, PPAP2B, NOS2, LRP2, SOX9, NLGN3, TMEM2, CXCR7, EPHA7, SMOC1, TBC1D9, FAT4, SCUBE3, FUT8, CSPG5, DLL1, BOC, ID4, EGR1 , ALPL, RFX4, GALNT12, CBX2, FHOD3, SORBS2, GUCY1B3, MBIP, FBX016, SHISA2, DAB1, GLI3, FZD3, SEMA5B, LGALS3BP, SFRP1, C1QL1, RING1, GPRC5B, ZNF710, WSCD1, VPS37B, ZIC2, SDK2, DOCKll, GAS1, ZNF436, TMSB15A, IER2, FEZl, CELF2, SFT2D3, NCALD, AKAP7, MY ADM, NEDD4L, PHC2, PI4KAP2, STARD3, and CAMK1D as compared to the expression level of said at least one gene in HES5- differentiated cells obtained by culturing HES5+ neuroepithelial cells under culture conditions suitable for differentiation said HES5+ neuroepithelial cells into HES5+ early radial glial cells.
11. The isolated population of cells of claim 2, wherein said HES5+ mid radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: FZD10, ZEB2, EN2, ST20, CDKN2C, RAB10, WASF1 , ZBED4, EZH2, PPA2, H1F0, CCNJ, ITGB8, SH3BGRL3, IRX2, KIF23, PEG10, SMC3, NUSAP1, APLP1, ADAMTS3, RACGAPl, LIMCH1, ETNK1, RNF13, ARID IB, TRIM28, CNOT8, CRNDE, TWSGl, NT5DC2, NAA50, NUF2, ABCE1, PLTP, FBRSL1, DCAF16, OGT, ZFYVE16, FOXM1, PM20D2, POU3F2, MCM4, HERPUD2, VRK1, TRIM41, SATB1, HOMER 1, CCNG1, ATF2, AP1AR, GABPA, STXBP3, SMC5, CDKN1B, NUPL1, UBA1, CYTH2, FXYD6, ISYNA1, DOCK1, 41527, LPHN2, IDI1, PXMP2, U2AF2, ARHGAP12, KLHL24, CKAP2, ZNF238, PARP6, NHSL1, PBRM1, BAZ1A, MAP4K5, TSPAN12, SH3GLB1, ASPM, ANKLE2, SPG20, MAP4K4, CASC4, FUBP3, ARSB, BTAF1, SIKE1, VEZT, PBX3, CBL, EIF2AK4, API5, MTSS1, NET1, CHD6, ZNF117, PNMA1, PTPN13, MTIF2, SSFA2, KIAA1279, STRN3, WIPF1, MEIS2, ZC3H4, DYNC1I2, RTN4, TAF2, RASA1, OSBPL8, SKA2, IGFIR, RNF6, SGTB, TMEM131, HIATL1, TGIF1, TMEM170B, PSAT1, ACBD5, HECTD2, ASF1A, LAMB1, GLS, DDX39, DGCR2, EIF1AX, SALL1, GOLPH3, PTBP2, GRIP1, PNPLA8, VASH2, SUDS3, PFDN4, BAZ2A, PRKDC, GLYR1, DAZAP2, PCMTD1, SENP6, CLINT1, RECQL, CNTNAP2, CTBP1, C10ORF18, CDON, B4GALT6, CSNK1G3, STAT5B, TMEM60, HNRNPH2, TACC2, CCNG2, FSCN1, CCNA2, C210RF45, PLRG1, ZFHX3, UBE2A, DMTF1, TRA2A, MY05A, FAM96A, IFT80, VPS 26 A, MRPL50, ACYP1, WDR11, PLDN, RPRD1A, MEAF6, CKAP5, YTHDC2, GABARAPL2, IP05, PGAP1, C140RF147, CD200, MST4, PPT1, ANKRD50, HPS 3, CCNC, THRAP3, TWF1, CYP51A1 , PSPC1, WDR75, CAST, SEPW1, C210RF59, PIK3C2A, GNG5, MED4, GIPCL STK39, KIAA1715, PHF6, PPTC7, SOCS4, PPM1B, UQCRB, C10ORF84, SLAIN1, RAB6A, SOS2, KLF10, RNF4, C30RF63, INSIG1, CPSF1, DNAJC4, ATP2B4, PPP2R1A, TRIM22, SDC3, TSNAX, PPIL4, ZDHHC2, ZBTB44, AN06, PPP2CB, UBA2, BBS2, ZNF423, RNF5, C10RF31, IFT81, CPSF6, KLHL9, FAM164A, TTC35, CCDC90B, TM9SF4, SEC24B, SMARCC2, CAP2, SARIA, THY1, RBPMS2, EIF3A, DZIP1, ARL6IP1, SACMIL, PAPD4, SCG2, TCF3, EFHA1, HNRNPA2B1, EWSR1, STAG2, YEATS4, PAQR3, GARl, FTHl , C190RF43, TMEM14C, CCDC104, PSMD12, DCTD, SSR1, HMGCS1, HMGB3, KIF3A, TMEM128, PATZ1, RBL2, ARFGAP3, DNAJB5, TMED7, G3BP2, BMPR1A, FMR1, TPST2, TMSB4X, RP2, CEP170, KLHL23, RNF7, HNRNPH1, MARCKS, HNRNPD, TOB1, UTP11L, RFK, DHX36, LCOR, WBP5, PHLDB2, USP33, EFNB2, C60RF62, MEX3B, ABCD3, ATG3, ARID4B, C70RF11, EPB41, TCF12, CDK8, CMIP, ATG12, CETN3, ZNF217, TMEM55A and UBE2N as compared to the expression level of said at least one gene in HES5- differentiated cells obtained by culturing HES5+ early radial glial cells under culture conditions suitable for differentiation said HES5+ early radial glial cells into HES5+ mid radial glial cells.
12. The isolated population of cells of claim 2, wherein said wherein said HES5+ late radial glial cells are characterized by a higher expression level of at least one gene selected from the group consisting of: PMP2, GABBR2, BCAN, LUZP2, SALL3, SYNM, DCT, OLIG1, SPON1, PDGFRA, COL22A1, KIAA1239, PCDH10, LPAR4, VAV3, CADM2, SOX6, SLC6A1, DPP6, FGFR3, PDE3B, MOXD1, TNFRSF19, PYGL, GPC6, COL11A1, TRIM9, GABRB3, TFPI, CREB5, RAB3GAP2, NCAN, EFHD1, SLITRK2, PAX6, SLC1A4, GPR155, GPD2, CHST11, PAQR8, MT2A, GPC3, TMEM51, CHST3, PAG1, MY05C, CACNB2, NDRG2, ST3GAL5, TPD52L1, TRIB1, PRKCA, BCKDHB, GLT25D2, LITAF, PLCB1, TIMP3, ZBTB46, OPCML, CTDSPL, MDGA2, MEGF10, EYA2, KANK1, RAB31, TRIL, FAM171B, ALCAM, RAB6B, PGM2L1, LARGE, HPCAL1, HTRA1, TRPS1, TRIB3, IGF2BP2, PITPNC1, CMTM4, IAH1, DHTKD1, SNAP29, CTNNBIP1, NQ02, MAP4, CBR1, LTBP1, C50RF32, MARK1, AASS, CISDl, DSC2, SLC25A33, RIMS 3, ZIC3, EGF, SRGAP2, RANGAP1, SCRG1, PRCP, CA12, HEATR5A, ZNF503, GYG2, ANAPCl, C190RF63, ASAP1, C10RF96, DHX33, FASTKD1, STAU2, MAML2, RRAS2, GLTP, VPS13B, GPT2, NKAIN4 and ZC3HAV1 as compared to the expression level of said at least one gene in HES5- differentiated cells obtained by culturing HES5+ mid radial glial cells under culture conditions suitable for differentiation said HES5+ mid radial glial cells into HES5+ late radial glial cells.
13. The isolated population of cells of claim 2, wherein said HES5+long term neural progenitor cells are characterized by a higher expression level of at least one gene selected from the group consisting of: ANXA2P2, ANXA2, FRAS1, SPOCK1, PCDHB15, SLC10A4, TPBG, C50RF39, MMP14, TNFRSF10D, S100A6, RNF182, LGALS1, ISL1, SPINK5, DOCK10, LECT1, LYPD1, ARMCX1, NAP1L2, COL4A6, GSN, PLAG1, MMD, PTGR1, PDP1, COL18A1, ZIC4, BASPL AHNAK, REC8, KLHDC8B, FRMD6, MYL9, RBMS1, TNFRSF21 , and FAM38A as compared to the expression level of said at least one gene in HES5- differentiated cells obtained by culturing HES5+ late radial glial cells under culture conditions suitable for differentiation said HES5+ late radial glial cells into HES5+ long term neural progenitor cells.
14. The isolated population of cells of claim 3, wherein said HES5+ cells are neuroepithelial cells (NE) which constitute at least about 80 % of the isolated population of cells.
15. The isolated population of cells of claim 2, wherein said HES5+ cells are early radial glial cells (E-RG) which constitute at least about 70-80 % of the isolated population of cells.
16. The isolated population of cells of claim 2, wherein said HES5+ cells are mid radial glial cells (M-RG) which constitute at least about 30 % of the isolated population of cells.
17. The isolated population of cells of claim 2, wherein said HES5+ cells are late radial glial cells (L-RG) which constitute at least about 10-15 % of the isolated population of cells.
18. The isolated population of cells of claim 2, wherein said HES5+ cells are long term neural progenitors (LNP); which constitute at least about 7-10 % of the isolated population of cells.
19. The isolated population of cells of any one of claims 2-18, wherein said HES5+ cells are genetically modified.
20. According to an aspect of some embodiments of the invention, there is provided an isolated population of cells comprising at least 10 % HES5- cells, wherein said HES5- cells are:
(i) non-CNS cells comprising neural crest cells, placodal cells, non- neuroepithelial cells; and CNS cells which exhibit an NEUROD4+/NGN 1 +/NGN2+/TB R2+/DCX+ expression signature and which form neurons of layers 1 and 6 of the brain cortex;
(ii) neural progenitor cells which belong to the CNS, having a lower proliferative capacity as compared to the HES5+ ERG cells, which form layers 1 5 and 6 of the brain cortex;
(iii) intermediate progenitor cells (INPs) which belong to the CNS, and which are capable of differentiating into the neurons forming layers 4, and 2 of the brain cortex;
(iv) HES5- neurons and astrocytes, wherein said neurons form layers 2, 4 and 3 of the brain cortex; or
(v) neurons, oligodendrocyte and astrocytes, wherein said neurons comprise neurons reaching the olfactory bulb.
21. The method of claim 1 or the isolated population of cells of any one of claims 2-20, wherein the cells are human cells.
22. The method of claim 1 or the isolated population of cells of any one of claims 2-21, derived from a subject having a CNS disease or disorder.
23. The isolated population of cells of any one of claims 2-22, wherein the cells having been subjected to an ex-vivo differentiation protocol.
24. The isolated population of cells of any one of claims 2-23 for use in the treatment of a CNS disease or disorder.
25. The method of claim 1, wherein said successive isolation comprises at least two isolation steps following at least two culturing steps, wherein a first isolation of said at least two isolation steps is effected up to 12 days of a first culturing of said at least two culturing steps, and wherein a second isolation of said at least two isolation steps is effected up to 5 days of a second culturing of said at least two culturing steps.
26. The method of claim 25, wherein said successive isolation comprises at least three isolation steps following at least three culturing steps, wherein a third isolation of said at least three isolation steps is effected up to 21 days of a third culturing of said at least three culturing steps.
27. The method of claim 26, wherein said successive isolation comprises at least four isolation steps following at least four culturing steps, wherein a fourth isolation of said at least four isolation steps is effected up to 45 days of a fourth culturing of said at least four culturing steps.
28. The method of claim 27, wherein said successive isolation comprises at least five isolation steps following at least five culturing steps, wherein a fifth isolation of said at least five isolation steps is effected up to 140 days of a fifth culturing of said at least five culturing steps.
29. The method of claim 25, wherein said first isolation results in a population of cells comprising HES5+ neural epithelial cells.
30. The method of claim 25, wherein said second isolation results in a population of cells comprising HES5+ early radial glial cells.
31. The method of claim 26, wherein said third isolation results in a population of cells comprising HES5+ mid radial glial cells.
32. The method of claim 27, wherein said fourth isolation results in a population of cells comprising HES5+ late radial glial cells.
33. The method of claim 28, wherein said fifth isolation results in a population of cells comprising HES5+ long term neural progenitor cells.
34. The method of any one of claims 1 and 25-33, further comprising qualifying presence of a neural progenitor cell of interest according to at least one marker comprised in an expression signature of said neural progenitor cells, wherein:
(i) an expression signature of HES5+ neuroepithelial cells comprises HES5+/SOXl+/PAX6+/SOX2+/Nestin+/CDC6+/CDXl+/CENPH+/TOP2A+;
(ii) an expression signature of HES5+ early radial glial cells comprises HES5+/ARX+/FEZF2+/NR2E1 +;
(iii) an expression signature of HES5+ mid radial glial cells comprises HES5+/POU3F2+/GLAST+/FABP7+;
(iv) an expression signature of HES5+ late radial glial cells comprise HES5+/OLIG1+/PDGFRA+/CUX1+/CUX2+/POU3F2+/S100B+/EGFR+;
(v) an expression signature of HES5+ long term neural progenitor cells comprise HES5+/ANXA2+/LGALS1+/EGFR+/ S100B+.
35. The method of any one of claims 1 and 25-33, further comprising qualifying presence of a neural progenitor cell of interest according to epigenetic analysis functional phenotype and/or morphological phenotype.
36. The method of any one of claims 1 and 25-35, wherein said stem cells are derived from a subject having a CNS disease or disorder.
37. The method of claim 36, wherein said CNS disease or disorder comprises a motor-neuron disease.
38. The method of claim 36, wherein said CNS disease or disorder is characterized by cortex damage.
39. A culture medium for neuroepithelial differentiation comprising noggin, LDN-193189and SB-431542.
40. The culture medium of claim 39, further comprising sonic hedgehog.
41. The isolated population of cells of claim 20, wherein said HES5- cells of (i) are characterized by a higher expression level of at least one gene selected from the group consisting of: LHXl, CNTN2, ST18, EBF3, NFASC, FSTL5, ONECUT2, SLC17A6, EBF1, SLIT1, SYT4, NEFM, NEUROD1, PARM1, CHN2, DNER, HMP19, TFAP2B, DCX, KLHL35, PAPPA, OLFM1, NHLH1, RTN1, GAP43, GFRA1, CHL1, FNDC5, SCN3A, NPTX2, EOMES, CADPS, NHLH2, TMEM163, STMN3, LRRN3, NEFL, ROB02, INA, PHLDA1, GRIA1, GRIA2, DCLK1, CRABP1, OLIG2, SCG3, TMEM158, FBXL16, FAM123A, SYP, KIF21B, PCDH9, CDKN1C, IGFBPL1, RSP03, GABRB3, TAGLN3, KCNH2, EPB41L3, EYA2, TMOD2, NCAN, GABBR2, D4S234E, PI15, ANK2, SLC1A2, NRCAM, CBLB, CAMK2N1, ZIC3, PTPRN2, SORBS 1, NXPH1, BAALC, CLASP2, DPP6, MAP6, FIGNL2, KIAA0802, KIFIA, TMEM170B, SLC22A23, TMEM178, CTNND2, CADM1, LGALS3, TCEAL7, CD9, GLB1L2, NFIA, YPEL3, TNFRSF19, SPINK5, PNMA2, IRX5, SIN3B, STK38, NR3C1, SOX8, SLC6A8, SYNPR, SGK223, BASP1 and APC as compared to the expression level of said at least one gene in HES5+ neuroepithelial cells.
42. The isolated population of cells of claim 20, wherein said HES5- cells of (ii) are characterized by a higher expression level of at least one gene selected from the group consisting of: GREM1, COL3A1, PCDH8, SEMA3C, BMP4, NID2, TNC, COL1A2, ANKRD1, ANXA1, TMEFF2, PDZRN3, ANXA3, KRT8, LEPREL1, NOX4, LAMB1, FLNC, FST, IMMP2L, S100A4, GDF15, PHACTR2, METTL7A, MAMDC2, DDIT4, BCHE, OCIAD2, TNFRSF10D, BBS9, ELOVL2, TUBAIC, CHST7, RBM47, TFPI, NEBL and LHFP as compared to the expression level of said at least one gene in HES5+ early radial glial cells.
43. The isolated population of cells of claim 20, wherein said HES5- cells of (iii) are characterized by a higher expression level of the ACSS1 gene as compared to the expression level of said gene in HES5+ mid radial glial cells.
44. The isolated population of cells of claim 20, wherein said HES5- cells of (iv) are characterized by a higher expression level of at least one gene selected from the group consisting of: THBS1, KLHL4, A2M, EN2, SLC6A6, ACTA2, ST6GAL1, SLC7A8, GRM3, FAM65B, CALBl, MYLK, TNNT1, PTX3, MFAP2 and HMGA2 as compared to the expression level of said at least one gene in HES5+ late radial glial cells.
45. The isolated population of cells of claim 20, wherein said HES5- cells of (v) are characterized by a higher expression level of at least one gene selected from the group consisting of: FBN2, NELL2, KALI, PCDHB5, ST8SIA4, DCN, SLC6A1, CADM2, BCL11A, DDB2, ANXA11, PAK1, ID3, IGF2BP1, ANK3, ZEB2 and CREB5 as compared to the expression level of said at least one gene in HES5+ long term neural progenitor cells.
46. The isolated population of cells of claim 2, wherein said HES5+ neuroepithelial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, PAX6, TCF4, SOX9, LEF1, POU3F2, SOX8, SOX21, TEAD1, NFATC1, SOX5, TGIF1, MEIS1, TCF4, MEIS2, OTX2, TEF, ZBTB16, MSX1, RFX1, NR4A2, MEIS2, SOX15, STAT5B, SATB1, RBPJ, FOXK1, MYBL2, DMRT3, NFIA, CUX1, TFAP4, MSX1, CDC5L, RFX1, FOXJ2, POU6F1, TEF, RBPJ, PKNOX2, BCL6, PRRX1, STAT1, POU3F1, FOXB1, CTNNB1, PBX1, ZNF143, NFATC1, SOX21, TCF7L1, ARX, SOX15, RXRA, TFAP4, CUX1, OTX2, NR2E1, CUX1, ZNF232, NR2F1, SOX4, MEISl, PBX1, CUX1 , NEUROD1, MSXl, ZNF652, MEF2A, OLIG1, POU6F2, IKZF2, MECOM, STAT1, ESRRA, IRF7, STAT1, MYBL2, BCL6, ELK1, ATF2, SMAD3, ATF4, DLX1 , MEF2A, DBP, MAF, MEF2A, TEAD2, SMAD3, SOX15, POU6F1, BARHL2, FOXG1, LHX9, MECOM, ARNTL, MYC, ZNF75A, NFIA, VAX1, GBX2, HOMEZ, FOX04, FOX04, FOXB1, ZSCAN16, ELK1, ATF2, CREB1, USF1, ESRRA, ZNF282, NEUROG2, NFYA, NR4A1, CTF1, ELK1, POU3F2, ELK1, HSF1, E2F3, CUX1, CREB1, ELF2, MYBL2, HMGA2, SRF, ZNF410, JDP2, NR2F1, PAX3, NRF1, SMAD4, ZNF85, ZNF628, NFATC1, CREB1, E4F1, NR2F6, NHLH1, IRF2, PBX1, FOXJ3, RORA, IRF7, NR6A1, LHX2, PAX3, NR2E1, POU3F1, ZFP42, E2F4, ETV5, ELF3, USF1, ATF6, TFAP2B, CUX1, IRF3, RXRA, PEBP1, LHX2, GZF1, MEF2A, MEF2A, IRF9, MGA, VBP1, GMEB2, YYl, ELF1, POU3F3, GTF2IRD1, IRF3, SRF, XBP1, ESRRA, HEY1, NFKB2, IRF2, EOMES, FOXB1, NR2F1, NR4A2, STAT3, SPl , RARA, CREBl , NR2F1, FOXJ3, HSF1, MYBL2, SRF, ETV2, MECP2, E2F1, FOXJ2, JUN, SCRT2, DLX1, E2F1, E2F1 and ATF2as compared to the transcriptional epigenetic activity of said at least one transcription factor in human ESC cells.
47. The isolated population of cells of claim 2, wherein said HES5+ early radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: NFIA, MZF1, SMAD4, CTF1, SMAD3, RFX4, MAF, TCF12, NFYC, ZNF263, MECP2, ZFP42, ZIC1, YYl, ETS2, NR2C2, SREBF2, SREBF1, MEIS2, NR4A1, REST, SF1, ZBTB7A, STAT3, E2F1, NR1H2, NFKB1, NR2F6, GLIS3, MAZ, STAT1, TGIF1, SOX9, HES1, THRA, GLIS3, MEISl , ESRRA, ZBTB7A, NFYA, MECP2, PKNOX2, EP300, TFAP2B, NR2F1, MZF1, ESRRA, TFCP2, NR2F1, ESRRA, TERF1, KLF3, XBP1, RORA, PBX1, MYC, SNAI2, TEAD2, CENPB, PEBP1, HINFP, SREBF1, YYl, E2F1, HSF2, CNOT3, MEIS2, MEF2A, RXRA, CREB3L1, MYBL2, ZNF524, TFAP4, RFXl, NFYA, ZBTB33, RREB1, NR6A1, HES5, TFAP2B, HIFI A, INSM1, ZNF524, ELFl , SMAD4, STAT3, TFAP2B, USF1, GLI3, GLI2, ETV2, E2F1, CREB3, NFKB1, MYC, SRF, TFCP2, ATF3, ELK1, TP53, E2F4, ELF2, DEAFl , RXRA, ZNF423, FOXGl, ZNF628, NEURODl, ARNTL, STAT1, PAX3, NR6A1, ESRRA, TCF4, YYl, PBX1, VAX1, NRF1, ETV1, FOXB1, ZNF85, CREB1, PRDM4, MYBL2, NHLH1, CREB1, KLF13, TRIM26, ZNF148, E4F1, USF1, JDP2, OLIG1, GZF1, ATF2, CREB1, FOX04, SMAD3, CLOCK, ZNF282, ZSCAN16, CUX1, NFKB1, RFXl, ETV5, MEF2A, GTF2IRD1, TFAP2B, NHLH1, ELFl, PAX3, MNT, ZNF740, CREB1, ESRRA, EOMES, EGR2, NR4A2, BCL6, ZNF143, MAFF, CUX1, NR2F1, TFAP2B, NEUROG2, TCF3, ATF3, PLAG1, ESRRA, E2F1, KLF13, MSX1, SCRT2, GABPB1, SOX9, NFKB2, EOMES, SDG, MECOM, BCL6, POU3F3, HINFP, NFATC1, TBR1, MYBL2, USF1, SP1, ATF2, LHX2, MYBL2, POU3F3, HEY1, MEF2A, MGA, SOX9, E2F7, IRF3, SRF, POU3F2, SREBF2, NFKB1, MAF, ZNF784, NR1H2, MSX1, RORA, LM02, HINFP, ZNF23, FOX04, NR4A2, POU6F2, ID4, RARA, KLF13, LEF1, PATZ1, ELK1, DLX1, E2F4, E2F4, ELK1, MAZ, ATF6, TFAP4, RARA, PAX6, EGR2, HOMEZ, ELKl, E2F1 , GMEB2, ATF4, ATF2, MAX, MGA, NFKB2, ESRRA, E2F4, STAT3, TCF3, NR2E1, ELF3, SOX4, USF1 and ZNF652 as compared to the transcriptional epigenetic activity of said at least one transcription factor in HES5+ neuroepithelial cells.
48. The isolated population of cells of claim 2, wherein said HES5+ mid radial glial cells are characterized by an increased transcriptional epigenetic activity of at least one transcription factor encoded by the gene selected from group consisting of: RFX4, NFIA, NFATC1, CTF1, NEUROD1, RFX1, TGIF1, ETS2, TFAP4, TCF12, TFAP4, SMAD3, NFIA, SOX9, RFX1, TCF4, MZF1, ST ATI , MECP2, MEIS2, ZBTB33, NFYA, ELF1, MYBL2, LEFl, NFYC, MAFF, ZNF263, YY1, POU3F3, TGIF1 , STAT3, SMAD4, NR6A1, TGIF1, MEIS1, ZNF628, ZFP42, FOXK1, PRDM4, STAT1, MAF, SCRT2, CREB1, GZF1, CREB1, VAX1, MECP2, NHLH1, ETV1, SOX9, PEBP1, SMAD4, XBP1, USF1, POU3F2, CREB3, EP300, PBX1, STAT3, TFCP2, POU2F2, IRF3, FOXB1, MSX1, POU3F3, ELK1, DBP, CUX1, MEF2A, POU6F2, ARNTL, ZSCAN16, MEF2A, ETV4, OLIG1, HOMEZ, DLX1, PRRX1, MSX1, MYC, FOX04, MEF2A, MZF1, ATF2, GMEB2, NFYA, ESRRA, SOX9, PBX1, POU3F2, MECOM, SMAD3, MAZ, ELK1, BCL6, ELF3, PAX3, ELFl, SF1 , BCL6, EMX2, STAT1, E2F1 , ELF2, CLOCK, ELKl, STAT3, ATF5, THRA, SOX9, SRF, TCF4, ATF3, CTNNB1, USF1, FOXJ3, USF1, ZNF282, NEUROG2, ESRRA, REST, E2F3, ZBTB7A, MYBL2, HSF2, MAX, ZNF143, MYBL2, SRF, FOX04, NR4A2, CUX1, E2F4, MSX1, EOMES, MAF, MNT, POU6F1, NFATC1, STAT3, CREB3, SOX9, ZNF85, CREB3L1, TCF3, ELKl, IRF2, YY1, SOX15, PAX6, E4F1, MEF2A, ATF2, NFE2L1, NFATC1, ATF2, YY1, SRF, ARX, ETV2, HINFP, MAZ, NR4A1, INSM1, ZNF652, USF1, NFKB1, GBX2, POU3F4, IRF9, POU6F1, LHX2, NR4A2, POU6F2, FOXJ2, CEBPG, VBP1, TERF1, ESRRA, PAX6, ZIC3, IRF2, MAF, SOX21, CREB1, CREB3, IRF7, POU3F3, NFKB2, ATF4, MYBL2, SREBF2, SOX9, YYl, RBPJ, FOXJ3, HSF1, HMGA2, CUXL POU3F2, EOMES, ZNF423, ESRRA and KLF13 as compared to the transcriptional epigenetic activity of said at least one transcription factor in HES5+ early radial glial cells.
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