US20230111225A1 - Method for resetting an array - Google Patents

Method for resetting an array Download PDF

Info

Publication number
US20230111225A1
US20230111225A1 US18/066,007 US202218066007A US2023111225A1 US 20230111225 A1 US20230111225 A1 US 20230111225A1 US 202218066007 A US202218066007 A US 202218066007A US 2023111225 A1 US2023111225 A1 US 2023111225A1
Authority
US
United States
Prior art keywords
array
biological sample
minutes
tissue
reset
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
US18/066,007
Inventor
Jennifer Chew
Zachary Bent
Alvaro J. Gonzalez Lozano
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
10X Genomics Inc
Original Assignee
10X Genomics Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 10X Genomics Inc filed Critical 10X Genomics Inc
Priority to US18/066,007 priority Critical patent/US20230111225A1/en
Assigned to 10X GENOMICS, INC. reassignment 10X GENOMICS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHEW, JENNIFER, GONZALEZ LOZANO, Alvaro J, BENT, ZACHARY
Publication of US20230111225A1 publication Critical patent/US20230111225A1/en
Pending legal-status Critical Current

Links

Images

Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6869Methods for sequencing
    • C12Q1/6874Methods for sequencing involving nucleic acid arrays, e.g. sequencing by hybridisation
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6813Hybridisation assays
    • C12Q1/6834Enzymatic or biochemical coupling of nucleic acids to a solid phase
    • C12Q1/6837Enzymatic or biochemical coupling of nucleic acids to a solid phase using probe arrays or probe chips
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6813Hybridisation assays
    • C12Q1/6816Hybridisation assays characterised by the detection means
    • C12Q1/6825Nucleic acid detection involving sensors

Definitions

  • Cells within a tissue of a subject have differences in cell morphology and/or function due to varied analyte levels (e.g., gene and/or protein expression) within the different cells.
  • the specific position of a cell within a tissue e.g., the cell's position relative to neighboring cells or the cell's position relative to the tissue microenvironment
  • An array may be used to process a biological sample (e.g., tissue sample) for various purposes, such as identification or characterization of an analyte within the biological sample.
  • a biological sample e.g., tissue sample
  • incorrectly placing tissue sample within the capture area and/or placing damaged/folded tissue on the array have been proven to be a common issue when using arrays to study spatial organization of gene expression.
  • a method for resetting an array including: (a) applying a biological sample to an array wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, (b) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (c) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed prior to step (c), thereby resetting the array.
  • a method for resetting an array to which a biological sample has been applied including: (a) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed on the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • identifying that the biological sample has been applied to the array incorrectly can include identifying that one or more fiducial markers on the array is obscured by the biological sample. In some embodiments, identifying that the biological sample has been applied to the array incorrectly can include identifying that the biological sample is folded. In some embodiments, identifying that the biological sample has been applied to the array incorrectly can include identifying that the biological sample is torn or damaged. In some embodiments, identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample overlaps with a second biological sample. In some embodiments, identifying that the biological sample does not contain the region of interest can include imaging the biological sample after staining and/or immunofluorescence. In some embodiments, an image produced by imaging the biological sample demonstrates an incorrect application of a stain and/or an immunofluorescence antibody. In some embodiments, an image produced by imaging the biological sample demonstrates nonspecific staining of the biological sample.
  • Also provided herein is a method for resetting an array to which a biological sample has been applied, the method including: treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed on the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • a method for resetting an array including: (a) applying a biological sample to an array wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, and (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed prior to step (b), thereby resetting the array.
  • the array can be a tissue optimization array.
  • treating the array with the set of biological sample removal conditions can include treating the array with a base.
  • the base can include a base selected from the group consisting of potassium hydroxide and sodium hydroxide.
  • treating the array with the base can include treating the array with about 40 mM to about 120 mM of the base.
  • treating the array with the base can include treating the array with about 75 mM to about 85 mM of the base.
  • treating the array with the base can include treating the array with the base for between about 1 minute and about 20 minutes.
  • treating the array with the base includes treating the array with the base for about 8 minutes to about 12 minutes.
  • treating the array with a base can include treating the array with a base for one, two, three, four or five cycles.
  • treating the array with the set of biological sample removal conditions further can include washing the array with water one or more times.
  • the water can be nuclease-free water and/or ultrapure water.
  • treating the array with the set of biological sample removal conditions further can include washing the array with a buffer one or more times.
  • the buffer can be selected from the group consisting of Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof.
  • the buffer can have a concentration of about 1 mM to about 20 mM. In some embodiments, the buffer can have a concentration of about 8 mM to about 12 mM.
  • the buffer can have a pH of about 6.0 to about 8.0. In some embodiments, the buffer can have a pH of about 6.5 to about 7.5. In some embodiments, the buffer can have a pH of about 6.8 to about 7.2.
  • treating the array with the set of biological sample removal conditions can further include drying the array.
  • the biological sample is not permeabilized.
  • treating the array with the set of biological sample removal conditions can include, sequentially, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying the array.
  • treating the array with the set of biological sample removal conditions further can include treating the array with a proteinase.
  • treating the array with the proteinase precedes treating with the base.
  • the proteinase can be proteinase K.
  • treating the array with the proteinase can be for between 10 minutes and 2 hours.
  • treating the array with the proteinase can be for between 30 minutes and 90 minutes.
  • treating the array with the proteinase can be for about 55 minutes to about 65 minutes.
  • the biological sample can be incubated at between 40 degrees and 60 degrees Celsius.
  • the biological sample can be incubated at between 45 degrees to about 55 degrees Celsius.
  • treating the array with the proteinase further can include treating the array with a surfactant and a proteinase buffer.
  • the surfactant can be sodium dodecyl sulfate.
  • the surfactant can be present in an amount of about 5% w/v to about 20% w/v.
  • the surfactant can be present in an amount of about 8% w/v to about 10% w/v.
  • the proteinase buffer can be Tris.
  • the proteinase buffer can have a concentration of about 1 mM to about 20 mM. In some embodiments, the proteinase buffer can have a concentration of about 8 mM to about 12 mM. In some embodiments, the proteinase buffer can have a pH of about 8.0 to about 10.0. In some embodiments, the proteinase buffer can have a pH of about 8.5 to about 9.5. In some embodiments, the proteinase buffer can have a pH of about 8.8 to about 9.2.
  • treating the array with the set of biological sample removal conditions can include, sequentially, treating the array with the proteinease, washing the array with water, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying.
  • the array can include a slide.
  • the slide can be a glass slide.
  • the biological sample can be an animal sample. In some embodiments, the biological sample can be a human sample. In some embodiments, the biological sample can be a rodent sample. In some embodiments, the biological sample can be a breast, brain, heart, small intestine, eye, testes, or kidney sample. In some embodiments, biological sample can be a cancerous sample or a sample suspected of having cancerous cells. In some embodiments, the biological sample can be a tissue section. In some embodiments, the tissue section can be a fresh frozen tissue section. In some embodiments, the biological sample can be fixed. In some embodiments, the biological sample can be formalin-fixed. In some embodiments, the biological sample can be fixed using methanol.
  • the biological sample can be fixed using acetone. In some embodiments, the biological sample can be stained. In some embodiments, the stain can be a histological stain. In some embodiments, the histological stain can be a hematoxylin and eosin stain. In some embodiments, the biological sample can be imaged using immunofluorescence.
  • Also provided herein is a method for capturing an analyte using an array the method including: (a) resetting an array according to any one or more of the methods described herein, wherein the array is a spatial array and the capture probe further includes a spatial barcode, (b) contacting the spatial array with a biological sample, and (c) capturing an analyte from the biological sample on the spatial array.
  • the analyte can include RNA, DNA, a protein, a small molecule, or a metabolite.
  • the method can further include determining (i) all or a portion of a sequence corresponding to the spatial barcode, or a complement thereof, and (ii) all or a portion of a sequence corresponding to the analyte, or a complement thereof.
  • Also provided herein is a method for analyzing capture of a plurality of analytes on a tissue optimization array the method including (a) resetting a tissue optimization array according to any one of claims 10 - 65 , (b) contacting the tissue optimization array with a biological sample, (c) capturing a plurality of analytes from the biological sample on the tissue optimization array, and (d) analyzing the amount, distribution, and/or diffusion of the plurality of analytes based on the analytes from the biological sample captured on the tissue optimization array.
  • the plurality of analytes includes RNA, DNA, a protein, a small molecule, a metabolite, or a combination thereof.
  • each when used in reference to a collection of items, is intended to identify an individual item in the collection but does not necessarily refer to every item in the collection, unless expressly stated otherwise, or unless the context of the usage clearly indicates otherwise.
  • FIG. 1 shows images of fixed and stained tissue sections on an array.
  • Tissue sections can be extremely thin and delicate, and positioning the tissue sections on an array with minimal folding or tearing of the tissue can be a difficult task.
  • parts of the tissue sections are not well positioned on the array (e.g., folded, torn, mis-aligned, or obscuring fidicuals).
  • a user may wish to remove such a tissue section from an array and either reposition the tissue section or apply a new tissue section to the array without interference or contamination from the first tissue section.
  • FIG. 2 A shows an exemplary workflow for resetting a slide containing multiple arrays.
  • FIG. 2 B shows exemplary images of arrays after application of tissue removal conditions without potassium hydroxide (left) and tissue removal conditions including potassium hydroxide (right).
  • FIG. 3 shows exemplary images of an array originally in contact with mouse brain tissue (left) and the same array after removing the mouse brain tissue and replacing it with a sample of sectioned human ovarian tumor (right).
  • FIG. 4 shows exemplary images of four replicates of reset arrays originally in contact with mouse brain tissue (top row).
  • the middle row shows exemplary imaging results after performing spatial analysis on the replicate arrays after resetting the replicate arrays to remove the associated mouse brain tissue and replacing it with sectioned ovarian tumor tissue.
  • the bottom row shows exemplary control array imaging results after performing spatial analysis on arrays with ovarian tumor tissue, which have not been reset.
  • FIG. 5 A-D shows plots and Dunnett's control data for spatial analyte data from control (non-reset) spatial arrays vs. reset spatial arrays for;
  • FIG. 5 A Reads Mapped Confidently to Transcriptome
  • FIG. 5 B Fraction of Usable Reads
  • FIG. 5 C Median Genes/Spot
  • FIG. 5 D Median UMI Counts/Spot.
  • FIG. 6 A-B show FIG. 6 A ) gene expression of HPCA, a gene highly expressed in the hippocampus region of mouse brain (indicated with arrows) and FIG. 6 B ) gene expression of HPCA on two arrays comprising ovarian tumor tissue sections: a reset array (left; wherein the array was previously in contact with mouse brain) and a control array (right; wherein the array had not been previously in contact with any other tissue); no detectable expression of mouse HPCA was observed in the reset array, indicating that there was no contamination or interference of mouse HPCA from the mouse brain tissue section when analyzing the ovarian tumor tissue on the reset array.
  • FIG. 7 A-G shows imaging results from a reset array ( FIG. 7 B ; previous tissue shown in FIG. 7 A ), new array ( FIG. 7 D ), followed by hybridizing a Cy3 labeled-partial Read 1 oligonucleotide to the spots, rinsing and imaging the arrays.
  • the negative control array ( FIG. 7 C ) was processed through an entire spatial workflow protocol without any tissue. In the absence of tissue, no gene expression should be detected. Imaging each of the three arrays for 200 milliseconds shows that the overall fluorescence is comparable between the reset array and new array.
  • FIGS. 7 E-F demonstrate the affect of resetting a slide on the probes present on the slide. Blank OCT sections (containing no tissue samples) on array slides were processed through the reset workflow, FIG. 7 F is exemplary of a reset slide and FIG. 7 E is exemplary of a slide that was not reset (control).
  • FIG. 7 G shows the comparative fluorescence intensity of the Cy3 labelled Read 1 oligonucleotide binding to the reset and the control slides, showing minimal reduction in fluorescence and minimal affect of the reset protocol on the probes on the array.
  • FIG. 8 shows gene expression intensity results for reset arrays when comparing an unstained and unfixed tissue sample (left) to a fixed and stained tissue sample (middle).
  • the control array is an array not previously contacted with tissue (e.g., new array) UMI counts were similar between arrays that were reset with fresh frozen tissue (left), fixed and stained tissue (center), and an array that was not reset (right).
  • FIG. 9 A-C shows FIG. 9 A ) gene expression of MUCL1, a gene highly expressed in an exemplary human breast cancer tissue section.
  • FIG. 9 B shows gene expression of MUCL1 on an array that originally had human breast cancer tissue on it, was subjected to tissue removal conditions including a single KOH wash, and a mouse brain tissue section was placed on it. Some spatial concentration of MUCL1 was observed on the reset array, indicating that there was some contamination or interference with MUCL1 from the human tissue with the mouse brain tissue of the reset array.
  • FIG. 9 C shows gene expression on an array that originally had human breast cancer tissue on it, was subjected to tissue removal conditions including two KOH washes, and mouse brain tissue was placed on it. No spatial concentration of MUCL1 was observed on the reset array, indicating that there was no contamination or interference with MUCL1 from the human tissue with the mouse brain tissue of the reset array.
  • FIG. 10 A-F show box plots of control mouse brain data compared to reset arrays, with new human breast cancer or human heart tissue samples placed on the array with regard to: FIG. 10 A ) library quality, FIG. 10 B ) fraction of reads with primer, homopolymer, or switch oligo sequence, FIG. 10 C ) fraction of reads with ribosomal or mitochondrial UMI counts, and FIG. 10 D ) sensitivity.
  • FIG. 10 E shows overlaid UMAP plots of mouse brain data from a new array and reset arrays (either reset post H&E staining, reset prior to fixation, or a new slide control with no reset).
  • FIG. 10 A library quality
  • FIG. 10 B fraction of reads with primer, homopolymer, or switch oligo sequence
  • FIG. 10 C fraction of reads with ribosomal or mitochondrial UMI counts
  • FIG. 10 D shows overlaid UMAP plots of mouse brain data from a new array and reset arrays (either reset post H&E staining
  • 10 F shows mouse brain tissue sections stained with hematoxylin and eosin (upper figures) and gene expression analysis of hippocalcin (HPCA) (lower figures) as determined on a new array and reset arrays (as conditions as found in FIG. 10 E ).
  • FIG. 11 A-G show analysis of immunofluorescence staining on array reset with regard to FIG. 11 A ) immunofluorescence imaging, FIG. 11 B ) UMI count, FIG. 11 C ) library quality, FIG. 11 D ) contamination of primers in the library, and FIG. 11 E ) sensitivity.
  • FIG. 11 F shows overlaid UMAP plots of mouse brain data from a new (control) array and a reset array, both of which were processed using immunostaining.
  • FIG. 11 G shows a scatter plot of gene expression data from a new (control) array and a reset array, both of which were processed using immunostaining.
  • FIG. 12 A-D show the effect of resetting an array multiple times with regard to FIG. 12 A ) UMI count, FIG. 12 B ) library quality, FIG. 12 C ) contamination of primers in the library, and FIG. 12 D ) sensitivity.
  • FIG. 13 A-C show the effect of array reset using mouse brain samples using FIG. 13 A ) H&E staining
  • FIG. 13 B fluorescence imaging of cDNA reverse transcribed from captured analytes (time in minutes (m) is time of permeabilization)
  • FIG. 13 C the mean fluorescence intensity from FIG. 13 B of a control versus reset array for different tissue permeabilization times.
  • FIG. 14 A-B show the effect of array reset using mouse liver samples using FIG. 14 A ) H&E staining and FIG. 14 B ) fluorescence imaging of cDNA reverse transcribed from captured analytes.
  • FIG. 15 A-B show the effect of array reset using mouse spleen samples using FIG. 15 A ) H&E staining and FIG. 15 B ) fluorescence imaging of cDNA reverse transcribed from captured analytes.
  • FIG. 16 A-E show spatial gene analysis of human heart tissue on a FIG. 16 A ) new (control) array, and reset arrays that originally had FIG. 16 B ) mouse eye tissue, FIG. 16 C ) mouse small intestine tissue, FIG. 16 D ) mouse testes tissue, and FIG. 16 E ) mouse kidney tissue, placed on them.
  • FIG. 17 A-D show spatial gene analysis of mouse brain tissue on FIG. 17 A ) a new (control) array, and reset arrays that originally had FIG. 17 B ) human breast cancer tissue, FIG. 17 C ) human heart tissue, and FIG. 17 D ) human brain tissue, placed on them.
  • tissue sections which are often around 5-10 ⁇ m thick can be difficult to handle. Tissue sections can fold back on themselves, they can tear or be damaged such that proceeding with spatial assays to determine analyte locations within a tissue are compromised.
  • a tissue sample can be determined not to contain a region of interest (e.g., tumor region or immune cell infiltrate). It would be very beneficial if, once placed on an array, a tissue sample could be removed, repositioned or altogether replaced with another tissue sample without compromising the downstream analysis (e.g., spatial assay).
  • the present disclosure provides methods for repositioning, removing, replacing, or resetting a tissue sample on an array.
  • Spatial analysis methodologies and compositions described herein can provide a vast amount of analyte and/or expression data for a variety of analytes within a biological sample at high spatial resolution, while retaining native spatial context.
  • Spatial analysis methods and compositions can include, e.g., the use of a capture probe including a spatial barcode (e.g., a nucleic acid sequence that provides information as to the location or position of an analyte within a cell or a tissue sample (e.g., mammalian cell or a mammalian tissue sample) and a capture domain that is capable of binding to an analyte (e.g., a protein and/or a nucleic acid) produced by and/or present in a cell.
  • a spatial barcode e.g., a nucleic acid sequence that provides information as to the location or position of an analyte within a cell or a tissue sample
  • a capture domain that is capable of binding to an analyte (
  • Spatial analysis methods and compositions can also include the use of a capture probe having a capture domain that captures an intermediate agent for indirect detection of an analyte.
  • the intermediate agent can include a nucleic acid sequence (e.g., a barcode) associated with the intermediate agent. Detection of the intermediate agent is therefore indicative of the analyte in the cell or tissue sample.
  • a “barcode” is a label, or identifier, that conveys or is capable of conveying information (e.g., information about an analyte in a sample, a bead, and/or a capture probe).
  • a barcode can be part of an analyte, or independent of an analyte.
  • a barcode can be attached to an analyte.
  • a particular barcode can be unique relative to other barcodes.
  • an “analyte” can include any biological substance, structure, moiety, or component to be analyzed.
  • target can similarly refer to an analyte of interest.
  • Analytes can be broadly classified into one of two groups: nucleic acid analytes, and non-nucleic acid analytes.
  • non-nucleic acid analytes include, but are not limited to, lipids, carbohydrates, peptides, proteins, glycoproteins (N-linked or O-linked), lipoproteins, phosphoproteins, specific phosphorylated or acetylated variants of proteins, amidation variants of proteins, hydroxylation variants of proteins, methylation variants of proteins, ubiquitylation variants of proteins, sulfation variants of proteins, viral proteins (e.g., viral capsid, viral envelope, viral coat, viral accessory, viral glycoproteins, viral spike, etc.), extracellular and intracellular proteins, antibodies, and antigen binding fragments.
  • viral proteins e.g., viral capsid, viral envelope, viral coat, viral accessory, viral glycoproteins, viral spike, etc.
  • the analyte(s) can be localized to subcellular location(s), including, for example, organelles, e.g., mitochondria, Golgi apparatus, endoplasmic reticulum, chloroplasts, endocytic vesicles, exocytic vesicles, vacuoles, lysosomes, etc.
  • organelles e.g., mitochondria, Golgi apparatus, endoplasmic reticulum, chloroplasts, endocytic vesicles, exocytic vesicles, vacuoles, lysosomes, etc.
  • analyte(s) can be peptides or proteins, including without limitation antibodies and enzymes. Additional examples of analytes can be found in Section (I)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • an analyte can be detected indirectly, such as through detection of an intermediate agent, for example, a ligation product or an analyte capture agent (e.g., an oligonucleotide-conjugated antibody), such as those described herein.
  • an intermediate agent for example, a ligation product or an analyte capture agent (e.g., an oligonucleotide-conjugated antibody), such as those described herein.
  • a “biological sample” is typically obtained from the subject for analysis using any of a variety of techniques including, but not limited to, biopsy, surgery, and laser capture microscopy (LCM), and generally includes cells and/or other biological material from the subject.
  • a biological sample can be a tissue section.
  • a biological sample can be a fixed and/or stained biological sample (e.g., a fixed and/or stained tissue section).
  • stains include histological stains (e.g., hematoxylin and/or eosin) and immunological stains (e.g., fluorescent stains).
  • a biological sample e.g., a fixed and/or stained biological sample
  • Biological samples are also described in Section (I)(d) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • a biological sample is permeabilized with one or more permeabilization reagents.
  • permeabilization of a biological sample can facilitate analyte capture.
  • Exemplary permeabilization agents and conditions are described in Section (I)(d)(ii)(13) or the Exemplary Embodiments Section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Array-based spatial analysis methods involve the transfer of one or more analytes from a biological sample to an array of features on a substrate, where each feature is associated with a unique spatial location on the array. Subsequent analysis of the transferred analytes includes determining the identity of the analytes and the spatial location of the analytes within the biological sample. The spatial location of an analyte within the biological sample is determined based on the feature to which the analyte is bound (e.g., directly or indirectly) on the array, and the feature's relative spatial location within the array.
  • a “capture probe” refers to any molecule capable of capturing (directly or indirectly) and/or labelling an analyte (e.g., an analyte of interest) in a biological sample.
  • the capture probe is a nucleic acid or a polypeptide.
  • the capture probe includes a barcode (e.g., a spatial barcode and/or a unique molecular identifier (UMI)) and a capture domain).
  • UMI unique molecular identifier
  • a capture probe can include a cleavage domain and/or a functional domain (e.g., a primer-binding site, such as for next-generation sequencing (NGS)).
  • NGS next-generation sequencing
  • Section (II)(b) e.g., subsections (i)-(vi)) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Generation of capture probes can be achieved by any appropriate method, including those described in Section (II)(d)(ii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • more than one analyte type e.g., nucleic acids and proteins
  • a biological sample can be detected (e.g., simultaneously or sequentially) using any appropriate multiplexing technique, such as those described in Section (IV) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • an analyte capture agent refers to an agent that interacts with an analyte (e.g., an analyte in a biological sample) and with a capture probe (e.g., a capture probe attached to a substrate or a feature) to identify the analyte.
  • the analyte capture agent includes: (i) an analyte binding moiety (e.g., that binds to an analyte), for example, an antibody or antigen-binding fragment thereof; (ii) analyte binding moiety barcode; and (iii) an analyte capture sequence.
  • an analyte binding moiety barcode refers to a barcode that is associated with or otherwise identifies the analyte binding moiety.
  • analyte capture sequence refers to a region or moiety configured to hybridize to, bind to, couple to, or otherwise interact with a capture domain of a capture probe.
  • an analyte binding moiety barcode (or portion thereof) may be able to be removed (e.g., cleaved) from the analyte capture agent. Additional description of analyte capture agents can be found in Section (II)(b)(ix) of WO 2020/176788 and/or Section (II)(b)(viii) U.S. Patent Application Publication No. 2020/0277663.
  • a spatial barcode with one or more neighboring cells, such that the spatial barcode identifies the one or more cells, and/or contents of the one or more cells, as associated with a particular spatial location.
  • One method is to promote analytes or analyte proxies (e.g., intermediate agents) out of a cell and towards a spatially-barcoded array (e.g., including spatially-barcoded capture probes).
  • Another method is to cleave spatially-barcoded capture probes from an array and promote the spatially-barcoded capture probes towards and/or into or onto the biological sample.
  • capture probes may be configured to prime, replicate, and consequently yield optionally barcoded extension products from a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent (e.g., a ligation product or an analyte capture agent), or a portion thereof), or derivatives thereof (see, e.g., Section (II)(b)(vii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663 regarding extended capture probes).
  • a template e.g., a DNA or RNA template, such as an analyte or an intermediate agent (e.g., a ligation product or an analyte capture agent), or a portion thereof), or derivatives thereof (see, e.g., Section (II)(b)(vii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663 regarding extended capture probes).
  • capture probes may be configured to form ligation products with a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent, or portion thereof), thereby creating ligations products that serve as proxies for a template.
  • a template e.g., a DNA or RNA template, such as an analyte or an intermediate agent, or portion thereof
  • an “extended capture probe” refers to a capture probe having additional nucleotides added to the terminus (e.g., 3′ or 5′ end) of the capture probe thereby extending the overall length of the capture probe.
  • an “extended 3′ end” indicates additional nucleotides were added to the most 3′ nucleotide of the capture probe to extend the length of the capture probe, for example, by polymerization reactions used to extend nucleic acid molecules including templated polymerization catalyzed by a polymerase (e.g., a DNA polymerase or a reverse transcriptase).
  • a polymerase e.g., a DNA polymerase or a reverse transcriptase
  • extending the capture probe includes adding to a 3′ end of a capture probe a nucleic acid sequence that is complementary to a nucleic acid sequence of an analyte or intermediate agent specifically bound to the capture domain of the capture probe.
  • the capture probe is extended using reverse transcription.
  • the capture probe is extended using one or more DNA polymerases. The extended capture probes include the sequence of the capture probe and the sequence of the spatial barcode of the capture probe.
  • extended capture probes are amplified (e.g., in bulk solution or on the array) to yield quantities that are sufficient for downstream analysis, e.g., via DNA sequencing.
  • extended capture probes e.g., DNA molecules
  • act as templates for an amplification reaction e.g., a polymerase chain reaction.
  • Analysis of captured analytes (and/or intermediate agents or portions thereof), for example, including sample removal, extension of capture probes, sequencing (e.g., of a cleaved extended capture probe and/or a cDNA molecule complementary to an extended capture probe), sequencing on the array (e.g., using, for example, in situ hybridization or in situ ligation approaches), temporal analysis, and/or proximity capture is described in Section (II)(g) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Some quality control measures are described in Section (II)(h) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Spatial information can provide information of biological and/or medical importance.
  • the methods and compositions described herein can allow for: identification of one or more biomarkers (e.g., diagnostic, prognostic, and/or for determination of efficacy of a treatment) of a disease or disorder; identification of a candidate drug target for treatment of a disease or disorder; identification (e.g., diagnosis) of a subject as having a disease or disorder; identification of stage and/or prognosis of a disease or disorder in a subject; identification of a subject as having an increased likelihood of developing a disease or disorder; monitoring of progression of a disease or disorder in a subject; determination of efficacy of a treatment of a disease or disorder in a subject; identification of a patient subpopulation for which a treatment is effective for a disease or disorder; modification of a treatment of a subject with a disease or disorder; selection of a subject for participation in a clinical trial; and/or selection of a treatment for a subject with a disease or disorder.
  • Spatial information can provide information of biological importance.
  • the methods and compositions described herein can allow for: identification of transcriptome and/or proteome expression profiles (e.g., in healthy and/or diseased tissue); identification of multiple analyte types in close proximity (e.g., nearest neighbor analysis); determination of up- and/or down-regulated genes and/or proteins in diseased tissue; characterization of tumor microenvironments; characterization of tumor immune responses; characterization of cells types and their co-localization in tissue; and identification of genetic variants within tissues (e.g., based on gene and/or protein expression profiles associated with specific disease or disorder biomarkers).
  • a substrate functions as a support for direct or indirect attachment of capture probes to features of the array.
  • a “feature” is an entity that acts as a support or repository for various molecular entities used in spatial analysis.
  • some or all of the features in an array are functionalized for analyte capture.
  • Exemplary substrates are described in Section (II)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Exemplary features and geometric attributes of an array can be found in Sections (II)(d)(i), (II)(d)(iii), and (II)(d)(iv) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • analytes and/or intermediate agents can be captured when contacting a biological sample with a substrate including capture probes (e.g., a substrate with capture probes embedded, spotted, printed, fabricated on the substrate, or a substrate with features (e.g., beads, wells) comprising capture probes).
  • capture probes e.g., a substrate with capture probes embedded, spotted, printed, fabricated on the substrate, or a substrate with features (e.g., beads, wells) comprising capture probes.
  • contact contacted
  • contacting a biological sample with a substrate refers to any contact (e.g., direct or indirect) such that capture probes can interact (e.g., bind covalently or non-covalently (e.g., hybridize)) with analytes from the biological sample.
  • Capture can be achieved actively (e.g., using electrophoresis) or passively (e.g., using diffusion). Analyte capture is further described in Section (II)(e) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • spatial analysis can be performed by attaching and/or introducing a molecule (e.g., a peptide, a lipid, or a nucleic acid molecule) having a barcode (e.g., a spatial barcode) to a biological sample (e.g., to a cell in a biological sample).
  • a plurality of molecules e.g., a plurality of nucleic acid molecules
  • a plurality of barcodes e.g., a plurality of spatial barcodes
  • a biological sample e.g., to a plurality of cells in a biological sample for use in spatial analysis.
  • the biological sample after attaching and/or introducing a molecule having a barcode to a biological sample, the biological sample can be physically separated (e.g., dissociated) into single cells or cell groups for analysis.
  • Some such methods of spatial analysis are described in Section (III) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • spatial analysis can be performed by detecting multiple oligonucleotides that hybridize to an analyte.
  • spatial analysis can be performed using RNA-templated ligation (RTL).
  • RTL RNA-templated ligation
  • Methods of RTL have been described previously. See, e.g., Credle et al., Nucleic Acids Res. 2017 Aug. 21; 45(14):e128.
  • RTL includes hybridization of two oligonucleotides to adjacent sequences on an analyte (e.g., an RNA molecule, such as an mRNA molecule).
  • the oligonucleotides are DNA molecules.
  • one of the oligonucleotides includes at least two ribonucleic acid bases at the 3′ end and/or the other oligonucleotide includes a phosphorylated nucleotide at the 5′ end.
  • one of the two oligonucleotides includes a capture domain (e.g., a poly(A) sequence, a non-homopolymeric sequence).
  • a ligase e.g., SplintR ligase
  • the two oligonucleotides hybridize to sequences that are not adjacent to one another.
  • hybridization of the two oligonucleotides creates a gap between the hybridized oligonucleotides.
  • a polymerase e.g., a DNA polymerase
  • the ligation product is released from the analyte.
  • the ligation product is released using an endonuclease (e.g., RNAse H).
  • the released ligation product can then be captured by capture probes (e.g., instead of direct capture of an analyte) on an array, optionally amplified, and sequenced, thus determining the location and optionally the abundance of the analyte in the biological sample.
  • capture probes e.g., instead of direct capture of an analyte
  • sequence information for a spatial barcode associated with an analyte is obtained, and the sequence information can be used to provide information about the spatial distribution of the analyte in the biological sample.
  • Various methods can be used to obtain the spatial information.
  • specific capture probes and the analytes they capture are associated with specific locations in an array of features on a substrate.
  • specific spatial barcodes can be associated with specific array locations prior to array fabrication, and the sequences of the spatial barcodes can be stored (e.g., in a database) along with specific array location information, so that each spatial barcode uniquely maps to a particular array location.
  • specific spatial barcodes can be deposited at predetermined locations in an array of features during fabrication such that at each location, only one type of spatial barcode is present so that spatial barcodes are uniquely associated with a single feature of the array.
  • the arrays can be decoded using any of the methods described herein so that spatial barcodes are uniquely associated with array feature locations, and this mapping can be stored as described above.
  • each array feature location represents a position relative to a coordinate reference point (e.g., an array location, a fiducial marker) for the array. Accordingly, each feature location has an “address” or location in the coordinate space of the array.
  • Some exemplary spatial analysis workflows are described in the Exemplary Embodiments section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See, for example, the Exemplary embodiment starting with “In some non-limiting examples of the workflows described herein, the sample can be immersed . . . ” of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See also, e.g., the Visium Spatial Gene Expression Reagent Kits User Guide (e.g., Rev C, dated June 2020), and/or the Visium Spatial Tissue Optimization Reagent Kits User Guide (e.g., Rev C, dated July 2020).
  • the Visium Spatial Gene Expression Reagent Kits User Guide e.g., Rev C, dated June 2020
  • the Visium Spatial Tissue Optimization Reagent Kits User Guide e.g., Rev C, dated July 2020.
  • spatial analysis can be performed using dedicated hardware and/or software, such as any of the systems described in Sections (II)(e)(ii) and/or (V) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663, or any of one or more of the devices or methods described in Sections Control Slide for Imaging, Methods of Using Control Slides and Substrates for, Systems of Using Control Slides and Substrates for Imaging, and/or Sample and Array Alignment Devices and Methods, Informational labels of WO 2020/123320.
  • Suitable systems for performing spatial analysis can include components such as a chamber (e.g., a flow cell or sealable, fluid-tight chamber) for containing a biological sample.
  • the biological sample can be mounted for example, in a biological sample holder.
  • One or more fluid chambers can be connected to the chamber and/or the sample holder via fluid conduits, and fluids can be delivered into the chamber and/or sample holder via fluidic pumps, vacuum sources, or other devices coupled to the fluid conduits that create a pressure gradient to drive fluid flow.
  • One or more valves can also be connected to fluid conduits to regulate the flow of reagents from reservoirs to the chamber and/or sample holder.
  • the systems can optionally include a control unit that includes one or more electronic processors, an input interface, an output interface (such as a display), and a storage unit (e.g., a solid state storage medium such as, but not limited to, a magnetic, optical, or other solid state, persistent, writeable and/or re-writeable storage medium).
  • the control unit can optionally be connected to one or more remote devices via a network.
  • the control unit (and components thereof) can generally perform any of the steps and functions described herein. Where the system is connected to a remote device, the remote device (or devices) can perform any of the steps or features described herein.
  • the systems can optionally include one or more detectors (e.g., CCD, CMOS) used to capture images.
  • the systems can also optionally include one or more light sources (e.g., LED-based, diode-based, lasers) for illuminating a sample, a substrate with features, analytes from a biological sample captured on a substrate, and various control and calibration media.
  • one or more light sources e.g., LED-based, diode-based, lasers
  • the systems can optionally include software instructions encoded and/or implemented in one or more of tangible storage media and hardware components such as application specific integrated circuits.
  • the software instructions when executed by a control unit (and in particular, an electronic processor) or an integrated circuit, can cause the control unit, integrated circuit, or other component executing the software instructions to perform any of the method steps or functions described herein.
  • the systems described herein can detect (e.g., register an image) the biological sample on the array.
  • Exemplary methods to detect the biological sample on an array are described in PCT Application No. 2020/061064 and/or U.S. patent application Ser. No. 16/951,854.
  • the biological sample Prior to transferring analytes from the biological sample to the array of features on the substrate, the biological sample can be aligned with the array. Alignment of a biological sample and an array of features including capture probes can facilitate spatial analysis, which can be used to detect differences in analyte presence and/or level within different positions in the biological sample, for example, to generate a three-dimensional map of the analyte presence and/or level. Exemplary methods to generate a two- and/or three-dimensional map of the analyte presence and/or level are described in PCT Application No. 2020/053655 and spatial analysis methods are generally described in WO 2020/061108 and/or U.S. patent application Ser. No. 16/951,864.
  • a map of analyte presence and/or level can be aligned to an image of a biological sample using one or more fiducial markers, e.g., objects placed in the field of view of an imaging system which appear in the image produced, as described in the Substrate Attributes Section, Control Slide for Imaging Section of WO 2020/123320, PCT Application No. 2020/061066, and/or U.S. patent application Ser. No. 16/951,843.
  • fiducial markers e.g., objects placed in the field of view of an imaging system which appear in the image produced, as described in the Substrate Attributes Section, Control Slide for Imaging Section of WO 2020/123320, PCT Application No. 2020/061066, and/or U.S. patent application Ser. No. 16/951,843.
  • Fiducial markers can be used as a point of reference or measurement scale for alignment (e.g., to align a sample and an array, to align two substrates, to determine a location of a sample or array on a substrate relative to a fiducial marker) and/or for quantitative measurements of sizes and/or distances.
  • Arrays that can be reset using the methods described herein include, for example, tissue optimization arrays and spatial gene expression arrays.
  • an array can be a tissue optimization array used to evaluate analyte capture (e.g., by cDNA synthesis using fluorescent nucleotide analogs).
  • an array can be a spatial array.
  • capture probes on a spatial array include spatial barcodes, and capture probes on a tissue optimization array do not, though both include capture domains to capture analytes from a biological sample.
  • an array e.g., a spatial array or a tissue optimization array
  • the first biological sample is fixed, stained and imaged prior to removing the tissue sample from the array (e.g., a spatial array or a tissue optimization array).
  • methods of capturing an analyte using an array e.g., a spatial array
  • Array-based spatial analysis methods involve the use of a spatial array, where the spatial array includes an array of features on a substrate.
  • a biological sample e.g., tissue sample
  • the spatial array generally allowing the transfer of one or more analytes from the biological sample to the array of features.
  • a biological sample is first analyzed using a tissue optimization array to determine the amount or presence of captured analyte for any given sample preparation and/or permeabilization condition.
  • a removal step can be performed to remove the biological sample from the substrate thereby resetting the array.
  • array resetting occurs before a capture probe of the plurality of capture probes has been enzymatically extended to include a sequence complementary to all or a part of a sequence of an analyte from the biological sample.
  • reverse transcription is used to enzymatically extend a capture probe of the plurality of capture probes to include a sequence complementary to all or part of a sequence of an analyte from the biological sample.
  • resetting an array occurs before reverse transcription has occurred on the array.
  • resetting an array occurs before an extension reaction (e.g., an enzymatic extension reaction) has occurred on the array (e.g., performed on a capture probe).
  • the biological sample is not permeabilized before the array is reset.
  • resetting an array refers to the removal of a first tissue that was positioned on an array. In some embodiments, resetting an array can be followed by repositioning a first tissue on the array. In some embodiments, an array is reset in order to position another biological tissue sample on the array (e.g., a second portion of the same biological sample, or a biological sample from a different source, study, or organism). In some embodiments, an array may be reset once. In some embodiments, an array may be reset twice, three times, four times, or five times. In some embodiments, the array is reset in order to be used again, preferably before reverse transcription is performed on the array. In some embodiments, the array is reset in order to be used again, preferably before an extension reaction (e.g., an enzymatic extension reaction) has occurred on the array (e.g., performed on a capture probe).
  • an extension reaction e.g., an enzymatic extension reaction
  • a method for resetting an array to which a biological sample has been applied includes treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array.
  • a method for resetting an array includes (a) applying a biological sample to an array comprising a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, and (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, thereby resetting the array.
  • a method for resetting an array to which a biological sample has been applied includes (a) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (b) treating the array with a set of biological sample removal conditions, thereby resetting the array.
  • identifying that a biological sample has been applied to an array “incorrectly” can include identifying that one or more fiducial markers on the array is obscured by the biological sample, identifying that the biological sample is folded, identifying that the biological sample is torn or damaged, identifying that the biological sample was applied to the wrong array section, identifying that the biological sample overlaps with a second biological sample, or a combination thereof.
  • identifying that the biological sample does not contain the region of interest includes imaging the biological sample after staining and/or immunofluorescence. In some cases, an image produced by imaging the biological sample demonstrates an incorrect application of a stain and/or an immunofluorescence antibody. In some cases, an image produced by imaging the biological sample demonstrates nonspecific staining of the biological sample.
  • a method for resetting an array includes (a) applying a biological sample to an array including a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, (b) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (c) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, thereby resetting the array.
  • resetting an array is performed before one or more potentially irreversible alterations to the array. In some embodiments, resetting an array occurs before reverse transcription has occurred on the array. In some embodiments, resetting an array occurs before an enzymatic extension reaction has occurred on the array (e.g., performed on a capture probe). In some embodiments, resetting an array occurs before an extension reaction has occurred on the array (e.g., performed on a capture probe).
  • a biological sample is removed from an array to reset the array.
  • a method of removing a biological sample from an array comprises treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array.
  • resetting an array is performed before the biological sample is imaged; however, it may be easier for a user to identify that the biological sample was incorrectly placed or does not contain a region of interest with a visual aid. For example, it may be easier to identify that the biological sample obscures one or more fiducial markers on the array, or that the biological sample has been folded or torn using a visual aid. As another example, it may be easier to identify that the biological sample does not contain a region of interest after immunofluorescence. Accordingly, in some embodiments, resetting an array is performed after the biological sample is fixed and stained. In some embodiments, resetting an array is performed after the biological sample is fixed.
  • the biological sample can be fixed in any of the variety of fixatives described in, for example, in Section (I)(d)(ii)(3)-(6) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • the biological sample is stained.
  • the biological sample can be stained using known staining techniques, including but not limited to, Can-Grunwald, Giemsa, hematoxylin and eosin (H&E), Jenner's, Leishman, Masson's trichrome, Papanicolaou, Romanowsky, silver, Sudan, Wright's, and/or Periodic Acid Schiff (PAS) staining techniques.
  • known staining techniques including but not limited to, Can-Grunwald, Giemsa, hematoxylin and eosin (H&E), Jenner's, Leishman, Masson's trichrome, Papanicolaou, Romanowsky, silver, Sudan, Wright's, and/or
  • resetting an array is performed after the biological sample is evaluated using immunofluorescence.
  • resetting an array can be performed after fixing, immunofluorescence, staining, and/or imaging but prior to performing analyte capture and downstream enzymatic reactions on the captured analyte, for example reverse transcription of a captured mRNA molecule.
  • the spatial barcodes are associated with the spatial location of the captured analyte in the biological sample.
  • staining and/or fixing of a biological sample leaves the spatial barcodes intact thereby allowing for array resetting.
  • Treating an array (e.g., spatial array or tissue optimization array) to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with any appropriate reagents, temperatures, or other conditions.
  • treating an array with a set of biological sample removal conditions includes treating the array with a base.
  • treating the array with a base is the first part of the set of biological sample removal conditions.
  • the biological sample on the array is first treated enzymatically and/or chemically to degrade the biological sample prior to treating the array with a base.
  • treating an array (e.g., spatial array or tissue optimization array) to which a biological sample has been applied with a set of biological sample removal conditions can include treating enzymatically and/or chemically to degrade the biological sample.
  • treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with an enzyme (e.g., a proteinase, e.g., proteinase K) to remove at least a portion of the biological sample from the array (e.g., on a glass slide).
  • treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include ablation of the biological sample (e.g., laser ablation).
  • treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with a proteinase.
  • the proteinase is proteinase K.
  • Treating with a proteinase can include any appropriate conditions, e.g., to allow the proteinase to function.
  • treating with a proteinase can include treating with a buffer (e.g., Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof) at an appropriate pH (e.g., about pH 8.0 to about 10.0 (e.g., pH about 8.5 to about 9.5, about 8.8 to about 9.2, or about 9.0)) and appropriate concentration (e.g., about 1 mM to about 20 mM (e.g., about 5 mM to about 15 mM, about 8 mM to about 12 mM, or about 10 mM)), optionally with one or more additional reagents, such as a surfactant (e.g., sodium dodecyl sulfate) at an appropriate pH (
  • the array e.g., spatial array or tissue optimization array
  • the proteinease e.g., proteinase K
  • 10 minutes and 120 minutes e.g., between 10 minutes and 100 minutes, between 10 minutes and 90 minutes, between 10 minutes and 80 minutes, between 10 minutes and 70 minutes, between 10 minutes and 60 minutes, between 10 minutes and 45 minutes, between 10 minutes and 30 minutes, between 30 minutes and 120 minutes, between 30 minutes and 100 minutes, between 30 minutes and 90 minutes, between 30 minutes and 80 minutes, between 30 minutes and 70 minutes, between 30 minutes and 60 minutes, between 30 minutes and 45 minutes, between 45 minutes and 120 minutes, between 45 minutes and 100 minutes, between 45 minutes and 90 minutes, between 45 minutes and 80 minutes, between 45 minutes and 70 minutes, between 45 minutes and 60 minutes, between 60 minutes and 120 minutes, between 60 minutes and 100 minutes, between 60 minutes and 90 minutes, between 60 minutes and 80 minutes, between 60 minutes and 70 minutes, between 70 minutes and 120 minutes, between 70 minutes and 100 minutes, between 70 minutes and 90 minutes, between 70 minutes and 80 minutes, between 10 minutes and 60 minutes and 60
  • the array (e.g., spatial array or tissue optimization array) is incubated during the treatment with a proteinase at a temperature between 40 degrees and 60 degrees (e.g., between 40 degrees and 58 degrees, between 40 degrees and 56 degrees, between 40 degrees and 54 degrees, between 40 degrees and 52 degrees, between 40 degrees and 50 degrees, between 40 degrees and 48 degrees, between 40 degrees and 46 degrees, between 40 degrees and 44 degrees, between 40 degrees and 42 degrees, between 42 degrees and 60 degrees, between 42 degrees and 58 degrees, between 42 degrees and 56 degrees, between 42 degrees and 54 degrees, between 42 degrees and 52 degrees, between 42 degrees and 50 degrees, between 42 degrees and 48 degrees, between 42 degrees and 46 degrees, between 42 degrees and 44 degrees, between 44 degrees and 60 degrees, between 44 degrees and 58 degrees, between 44 degrees and 56 degrees, between 44 degrees and 54 degrees, between 44 degrees and 52 degrees, between 44 degrees and 50 degrees, between 44 degrees and 48 degrees, between 44 degrees and 46 degrees, between 46 degrees and 60 degrees, between 44 degrees and 58 degrees, between 44 degrees and 56 degrees, between 44
  • treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with a base (e.g., soaking the array in a base).
  • the base can be sodium hydroxide (NaOH), potassium hydroxide (KOH), or a combination thereof. Additional suitable bases that can be used in the methods described herein are known in the art.
  • the array is treated with the base for between 1 minute and 20 minutes (e.g., between 1 minute and 18 minutes, between 1 minute and 16 minutes, between 1 minute and 14 minutes, between 1 minute and 12 minutes, between 1 minute and 10 minutes, between 1 minute and 8 minutes, between 1 minute and 6 minutes, between 1 minute and 4 minutes, between 1 minute and 2 minutes, between 2 minutes and 20 minutes, between 2 minutes and 18 minutes, between 2 minutes and 16 minutes, between 2 minutes and 14 minutes, between 2 minutes and 12 minutes, between 2 minutes and 10 minutes, between 2 minutes and 8 minutes, between 2 minutes and 6 minutes, between 2 minutes and 4 minutes, between 4 minutes and 20 minutes, between 4 minutes and 18 minutes, between 4 minutes and 16 minutes, between 4 minutes and 14 minutes, between 4 minutes and 12 minutes, between 4 minutes and 10 minutes, between 4 minutes and 8 minutes, between 4 minutes and 6 minutes, between 6 minutes and 20 minutes, between 6 minutes and 18 minutes, between 4 minutes and 16 minutes, between 4 minutes and 14 minutes, between 4 minutes and 12 minutes, between 4 minutes and 10 minutes, between 4 minutes and 8 minutes, between 4 minutes
  • the array (e.g., spatial array or tissue optimization array) is treated with the base at a concentration of approximately 0.08 M.
  • the array is treated with the base (e.g., potassium hydroxide) at a concentration of about 0.01 M to 0.2 M, including, but not limited to, about 0.01 M, about 0.02 M, about 0.03 M, 0.04 M, about 0.05 M, about 0.06 M, about 0.07 M, about 0.08 M, about 0.09 M, about 0.10 M, about 0.11 M, about 0.12 M, about 0.13 M, about 0.14 M, about 0.15 M, about 0.16 M, about 0.17 M, about 0.18 M, about 0.19 M, or about 0.20 M, or any ranges included therein.
  • the biological sample is completely removed from the array after the array is treated with the base. In some embodiments, removing the biological sample from the array further comprises rinsing and drying the array. In some embodiments, the array is treated for a second time with base, using any of the times or concentrations of base described herein. In some cases, treating the array with the base can remove or help to remove any nucleic acid (e.g., RNA) hybridized to a capture probe on the array.
  • nucleic acid e.g., RNA
  • treating an array e.g., spatial array or tissue optimization array
  • a biological sample removal conditions can include washing the array with water (e.g., nuclease-free water and/or ultrapure water), washing the array with a buffer, and drying, or a combination thereof.
  • water e.g., nuclease-free water and/or ultrapure water
  • a buffer can be any appropriate buffer, for example Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), at any appropriate pH (e.g., about 6.0 to about 8.0 (e.g., about 6.5 to about 7.5, about 6.8 to about 7.2, or about 7.0)) and any appropriate concentration (e.g., about 1 mM to about 20 mM (e.g., about 5 mM to about 15 mM, about 8 mM to about 12 mM, or about 10 mM)).
  • PBS Tris, phosphate buffered saline
  • HEPES 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid
  • TES 2-[(2-Hydroxy
  • Washing the array can include repeatedly washing the array (e.g., 10, 15, 20, or more times).
  • drying can include centrifugation and/or air drying.
  • treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include, sequentially, treating the array with a base (e.g., 0.08 M KOH for 10 minutes), optionally treating with a base for a second time (e.g., 0.08 M KOH for 5 minutes), washing with buffer (e.g., 10 mM Tris, pH 7.0, 15 times), washing with water (e.g, nuclease-free water and/or ultrapure water, 20 times), and optionally drying (e.g., via centrifugation or air drying).
  • a base e.g. 0.08 M KOH for 10 minutes
  • buffer e.g., 10 mM Tris, pH 7.0, 15 times
  • water e.g, nuclease-free water and/or ultrapure water, 20 times
  • treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include, sequentially, treating the array with a proteinase (e.g., at 3.3 mg/mL in 10 mM Tris, pH 9 and 10% sodium dodecyl sulfate) treating the array with a base (e.g., 0.08 M KOH for 10 minutes), optionally treating with a base for a second time (e.g., 0.08 M KOH for 5 minutes), washing with buffer (e.g., 10 mM Tris, pH 7.0, 15 times), washing with water (e.g, nuclease-free water and/or ultrapure water, 20 times), and optionally drying (e.g., via centrifugation or air drying).
  • a proteinase e.g., at 3.3 mg/mL in 10 mM Tris, pH 9 and 10% sodium dodecyl sulfate
  • a base e.g., 0.08 M KOH for 10
  • a reset array (e.g., spatial array or tissue optimization array) can be stored at room temperature or 4° C. in a sealed container or a dessicator for up to 7 days before placing a new biological sample on the array.
  • methods for using of an array include resetting an array using any of the methods described herein, contacting the array with a biological sample (e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism), and capturing an analyte from the biological sample on the array.
  • a biological sample e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism
  • methods for performing a spatial analysis include resetting a spatial array using any of the methods described herein, contacting the spatial array with a biological sample (e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism), and capturing an analyte from the biological sample on the spatial array.
  • the methods can further include determining (i) all or a portion of a sequence corresponding to the spatial barcode, or a complement thereof, and (ii) all or a portion of a sequence corresponding to the analyte, or a complement thereof.
  • methods for analyzing analyte capture using a tissue optimization array reset using any of the methods described herein include resetting a tissue optimization array using any of the methods described herein, contacting the tissue optimization array with a biological sample (e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism), capturing a plurality of analytes from the biological sample on the tissue optimization array, and analyzing the amount, distribution, diffusion, or a combination thereof, of the analytes.
  • a biological sample e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism
  • Embodiment 1 is a method for resetting an array, the method comprising:
  • Embodiment 2 is a method for resetting an array to which a biological sample has been applied, the method comprising:
  • the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • Embodiment 3 is the method of embodiment 1 or embodiment 2, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that one or more fiducial markers on the array is obscured by the biological sample.
  • Embodiment 4 is the method of any one of embodiments 1-3, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample is folded.
  • Embodiment 5 is the method of any one of embodiments 1-4, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample is torn or damaged.
  • Embodiment 6 is the method of any one of embodiments 1-5, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample overlaps with a second biological sample.
  • Embodiment 7 is the method of any one of embodiments 1-6, wherein identifying that the biological sample does not contain the region of interest comprises imaging the biological sample after staining and/or immunofluorescence.
  • Embodiment 8 is the method of embodiment 7, wherein an image produced by imaging the biological sample demonstrates an incorrect application of a stain and/or an immunofluorescence antibody.
  • Embodiment 9 is the method of embodiment 7 or embodiment 8, wherein an image produced by imaging the biological sample demonstrates nonspecific staining of the biological sample.
  • Embodiment 10 is a method for resetting an array to which a biological sample has been applied, the method comprising:
  • the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • Embodiment 11 is a method for resetting an array, the method comprising:
  • Embodiment 12 is the method of any one of embodiments 1-11, wherein the array is a tissue optimization array or a spatial array.
  • Embodiment 13 is the method of any one of embodiments 1-12, wherein prior to treating the array with the set of biological sample removal conditions, no reverse transcription has been performed on the array.
  • Embodiment 14 is the method of any one of embodiments 1-12, wherein prior to treating the array with the set of biological sample removal conditions, no enzymatic extension reaction has been performed on the capture probe.
  • Embodiment 15 is the method of embodiment 14, wherein no extension reaction has been performed on the capture probe.
  • Embodiment 16 is the method of any one of embodiments 1-15, wherein treating the array with the set of biological sample removal conditions comprises treating the array with a base.
  • Embodiment 17 is the method of embodiment 16, wherein the base comprises a base selected from the group consisting of potassium hydroxide, sodium hydroxide, and combinations thereof.
  • Embodiment 18 is the method of embodiment 16 or 17, wherein treating with the base comprises treating the array with about 40 mM to about 120 mM of the base.
  • Embodiment 19 is the method of any one of embodiments 16-18, wherein treating the array with the base comprises treating the array with about 75 mM to about 85 mM of the base.
  • Embodiment 20 is the method of any one of embodiments 16-19, wherein treating the array with the base comprises treating the array with the base for between about 1 minute and about 20 minutes.
  • Embodiment 21 is the method of any one of embodiments 16-20, wherein treating the array with the base comprises treating the array with the base for about 8 minutes to about 12 minutes.
  • Embodiment 22 is the method of any one of embodiments 16-21, wherein treating the array with a base comprises treating the array with a base for one, two, three, four or five times.
  • Embodiment 23 is the method of any one of embodiments 16-22, wherein treating the array with the set of biological sample removal conditions further comprises washing the array one or more times.
  • Embodiment 24 is the method of embodiment 23, wherein the washing comprises water that is nuclease-free water and/or ultrapure water.
  • Embodiment 25 is the method of any one of embodiments 16-24, wherein treating the array with the set of biological sample removal conditions further comprises washing the array with a buffer one or more times.
  • Embodiment 26 is the method of embodiment 25, wherein the buffer is selected from the group consisting of Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof.
  • the buffer is selected from the group consisting of Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof.
  • PBS phosphate buffered saline
  • HEPES 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid
  • TES
  • Embodiment 27 is the method of embodiment 25 or 26, wherein the buffer has a concentration of about 1 mM to about 20 mM.
  • Embodiment 28 is the method of any one of embodiments 25-27, wherein the buffer has a concentration of about 8 mM to about 12 mM.
  • Embodiment 29 is the method of any one of embodiments 25-28, wherein the buffer has a pH of about 6.0 to about 8.0.
  • Embodiment 30 is the method of any one of embodiments 25-29, wherein the buffer has a pH of about 6.5 to about 7.5.
  • Embodiment 31 is the method of any one of embodiments 25-30, wherein the buffer has a pH of about 6.8 to about 7.2.
  • Embodiment 32 is the method of any one of embodiments 16-31, wherein treating the array with the set of biological sample removal conditions further comprises drying the array.
  • Embodiment 33 is the method of any one of embodiments 1-32, wherein, before treating the array with the set of biological sample removal conditions, the biological sample is not permeabilized.
  • Embodiment 34 is the method of embodiment 33, wherein treating the array with the set of biological sample removal conditions comprises, sequentially, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying the array.
  • Embodiment 35 is the method of any one of embodiments 16-34, wherein treating the array with the set of biological sample removal conditions further comprises treating the array with a proteinase.
  • Embodiment 36 is the method of embodiment 35, wherein treating the array with the proteinase precedes treating with the base.
  • Embodiment 37 is the method of embodiment 35 or 36, wherein the proteinase is proteinase K.
  • Embodiment 38 is the method of any one of embodiments 35-37, wherein treating the array with the proteinase is for between 10 minutes and 2 hours.
  • Embodiment 39 is the method of any one of embodiments 35-38, wherein treating the array with the proteinase is for between 30 minutes and 90 minutes.
  • Embodiment 40 is the method of any one of embodiments 35-38, wherein treating the array with the proteinase is for about 55 minutes to about 65 minutes.
  • Embodiment 41 is the method of any one of embodiments 35-40, wherein during treatment of the array with the proteinase, the biological sample is incubated at between 40 degrees and 60 degrees Celsius.
  • Embodiment 42 is the method of any one of embodiments 35-40, wherein during treatment of the array with proteinase, the biological sample is incubated at between 45 degrees to about 55 degrees Celsius.
  • Embodiment 43 is the method of any one of embodiments 35-42, wherein treating the array with the proteinase further comprises treating the array with a surfactant and a proteinase buffer.
  • Embodiment 44 is the method of embodiment 43, wherein the surfactant is sodium dodecyl sulfate.
  • Embodiment 45 is the method of embodiment 43 or 44, wherein the surfactant is present in an amount of about 5% w/v to about 20% w/v.
  • Embodiment 46 is the method of embodiment 43 or 44, wherein the surfactant is present in an amount of about 8% w/v to about 10% w/v.
  • Embodiment 47 is the method of any one of embodiments 43-46, wherein the proteinase buffer is Tris.
  • Embodiment 48 is the method of any one of embodiments 43-47, wherein the proteinase buffer has a concentration of about 1 mM to about 20 mM.
  • Embodiment 49 is the method of any one of embodiments 43-48, wherein the proteinase buffer has a concentration of about 8 mM to about 12 mM.
  • Embodiment 50 is the method of any one of embodiments 43-49, wherein the proteinase buffer has a pH of about 8.0 to about 10.0.
  • Embodiment 51 is the method of any one of embodiments 43-49, wherein the proteinase buffer has a pH of about 8.5 to about 9.5.
  • Embodiment 52 is the method of any one of embodiments 43-49, wherein the proteinase buffer has a pH of about 8.8 to about 9.2.
  • Embodiment 53 is the method of any one of embodiments 43-52, wherein treating the array with the set of biological sample removal conditions comprises, treating the array with the proteinease, washing the array with water, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying.
  • Embodiment 54 is the method of any one of embodiments 1-53, wherein the array comprises a slide.
  • Embodiment 55 is the method of embodiment 54, wherein the slide is a glass slide.
  • Embodiment 56 is the method of any one of embodiments 1-55, wherein the biological sample is an animal sample.
  • Embodiment 57 is the method of any one of embodiments 1-55, wherein the biological sample is a human sample.
  • Embodiment 58 is the method of any one of embodiments 1-55, wherein the biological sample is a rodent sample.
  • Embodiment 59 is the method of any one of embodiments 1-58, wherein the biological sample is a breast, brain, heart, small intestine, eye, testes, or kidney sample.
  • Embodiment 60 is the method of any one of embodiments 1-59, wherein the biological sample is a cancerous sample or a sample suspected of having cancerous cells.
  • Embodiment 61 is the method of any one of embodiments 1-60, wherein the biological sample is a tissue section.
  • Embodiment 62 is the method of embodiment 61, wherein the tissue section is a fresh frozen tissue section.
  • Embodiment 63 is the method of any one of embodiments 1-62, wherein the biological sample is fixed.
  • Embodiment 64 is the method of any one of embodiments 1-63, wherein the biological sample is formalin-fixed.
  • Embodiment 65 is the method of any one of embodiments 1-63, wherein the biological sample is fixed using methanol.
  • Embodiment 66 is the method of any one of embodiments 1-63, wherein the biological sample is fixed using acetone.
  • Embodiment 67 is the method of any one of embodiments 1-66, wherein the biological sample is stained.
  • Embodiment 68 is the method of embodiment 67, wherein the stain is a histological stain.
  • Embodiment 69 is the method of embodiment 68, wherein the histological stain is a hematoxylin and eosin stain.
  • Embodiment 70 is the method of any one of embodiments 1-69, wherein the biological sample is imaged using immunofluorescence.
  • Embodiment 71 is a method for capturing an analyte using an array, the method comprising:
  • Embodiment 72 is the method of embodiment 71, wherein the analyte comprises RNA, DNA, a protein, a small molecule, or a metabolite.
  • Embodiment 73 is the method of embodiment 71 or 72, further comprising determining (i) all or a portion of a sequence corresponding to the spatial barcode, or a complement thereof, and (ii) all or a portion of a sequence corresponding to the analyte, or a complement thereof.
  • Embodiment 74 is a method for analyzing capture of a plurality of analytes on a tissue optimization array, the method comprising:
  • Embodiment 75 is the method of embodiment 74, wherein the plurality of analytes comprises RNA, DNA, a protein, a small molecule, a metabolite, or a combination thereof.
  • Example 1 Methods for Removing a Tissue Sample from an Array
  • an array is reset by removing tissue that had been placed the array ( FIG. 1 ), using a variety of reagents and consumables.
  • tissue that had been placed the array FIG. 1
  • the reagents and consumables can include proteinase K, Tris buffer, 20% SDS, potassium hydroxide, and a water bath or heat block that can heat up to 50 degrees Celsius.
  • a method for resetting an array can include: (a) soaking a fixed and stained tissue slice on an array for 1 hour in 30 mL of proteinase K buffer (10 mM Tris, pH 9, 10% SDS, 3.3 mg/mL ProK) at 50° C.; (b) removing the array from the proteinase K buffer and rinsing in nuclease-free water; (c) soaking the array for 10 minutes in 30 mL of 0.08M potassium hydroxide; (d) removing the array and rinsing in 10 mM Tris, pH 7.0; (e) rinsing the array in nuclease-free water; and (f) spinning down or air drying. See, e.g., FIG. 2 A for an exemplary workflow.
  • tissue removal incubation step (a) may not remove tissue completely and trace amounts of tissue may still remain on the array ( FIG. 2 B , left), in such instances soaking the array in a basic solution such as 0.08M potassium hydroxide has been shown to remove any remaining tissue ( FIG. 2 B , right).
  • Example 2 Methods for Removing a Tissue Sample from an Array
  • Arrays on a slide are reset prior to tissue permeabilization.
  • the slide When immersing a slide in a solution, the slide is typically completely immersed for about 3 seconds.
  • Reagent volumes described in this Example can accommodate up to two slides. If resetting two slides, slides are placed back to back so that tissue sections are facing outwards.
  • a water bath or heat block is preheated to 50° C. to warm 30 mL proteinase K buffer (1 mM Tris, pH 9; 10% SDS, 3.3 mg/mL proteinease K).
  • An array including a tissue sample on a slide is transferred to a 50 mL centrifuge tube containing the warmed proteinase K buffer and incubated for 1 hour at 50° C. The tube is inverted and some tissue may remain on the array.
  • the slide is immersed in ultrapure water.
  • the slide is transferred to a 50-mL centrifuge tube containing 30 mL 0.08M potassium hydroxide (KOH) and incubated for 10 minutes at room temperature. The tube is inverted.
  • KOH potassium hydroxide
  • the slide is transferred to a new 50 mL centrifuge tube containing 30 mL 0.08 M KOH and incubated at room temperature for 5 minutes.
  • the slide is transferred to a 50 mL centrifuge tube containing 10 mM Tris, pH 7 and inverted slowly.
  • the slide is immersed in fresh ultrapure water. Excess water is removed using a laboratory wipe on the back of the slide, without touching the active surface of the slide.
  • the slide is dried, optionally for 30 seconds in a slide spinner, or in a 50 mL centrifuge tube centrifuged at 250 relative centrifugal force (rcf) for 30 seconds in a swinging bucket rotor.
  • the slide, and each array within the slide, is examined for any remaining tissue. If tissue remains, the reset protocol above is repeated.
  • a slide where tissue is removed, thus resetting the slide can be stored in a sealed container or dessicator at room temperature or at 4° C. for up to 7 days before placing a new tissue section on one or more of the active arrays on the slide.
  • Example 3 Resetting an Array with a Different Tissue Sample
  • a tissue sample is removed from an array as described above in Example 1.
  • the array was originally in contact with mouse brain tissue, wherein the mouse brain tissue was removed, thereby resetting the array and replaced with a section of a human ovarian tumor tissue ( FIG. 3 ).
  • the mouse brain tissue which was first stained and imaged ( FIG. 3 , left panel) and was removed from the array by (a) soaking the fixed and stained tissue slice on the array for 1 hour in 30 mL of proteinase K buffer (10 mM Tris, pH9, 10% SDS, 3.3 mg/mL ProK) at 50° C.; (b) removing the array and rinsing 15 times in nuclease-free water; (c) soaking the array for 10 minutes in 30 mL of 0.08M potassium hydroxide; (d) removing the array and rinsing 15 times in 10 mM Tris, pH 7.0; (e) rinsing the array 20 times in nuclease-free water; and (f) spinning down or air drying the array.
  • a tissue section from a human ovarian tumor was then placed on the same array, stained and imaged ( FIG. 3 , right panel).
  • FIG. 4 shows exemplary images of replicate experiments where spatial analysis was performed and analyte gene expression information was obtained.
  • FIG. 4 top row shows four replicates of an array with stained and imaged mouse brain tissue samples.
  • the middle row shows exemplary imaging results after resetting the arrays from the top row by removing the mouse tissues as previously described and replacing the mouse tissue sections with sectioned ovarian tumor tissue followed by spatial analyte analysis of the ovarian tumor tissue samples.
  • the bottom row shows positive control imaging results after performing spatial analyte analysis on ovarian tumor tissue samples that were not reset (i.e., the spatial arrays were new and had not been contacted with tissue prior to the application of the ovarian tumor tissue sections).
  • the reset arrays demonstrate similar spatial analyte data (gene expression intensity) as the control arrays thereby demonstrating negligible or no visible contamination or analyte carry over from the original mouse brain tissue samples to the human ovarian tumor sections on the reset arrays.
  • FIG. 5 A-D show exemplary data analysis and Dunnett's control data demonstrating no significant difference between human ovarian tumor control spatial array analyte determination and that of the reset array data with regards to the A) reads mapped to the human ovarian tumor transcriptome, B) the fraction of usable reads, C) the median of genes per array spot and D) median UMI count per array spot. While there was a slight decrease seen in the median genes and UMIs per spot from the reset arrays vs control arrays ( FIGS. 5 C and 5 D ) it was not significant.
  • the reset array was also compared to a control array for the potential contamination of the HPCA gene.
  • the hippocalcin gene, or HPCA is highly expressed in the hippocampus region of mouse brain but not in human ovarian tumors.
  • the results shown in FIG. 6 A identify the location of the HPCA cluster in mouse brain, HPCA gene expression is not seen in the reset array FIG. 6 B (left panel) nor in the control (non-reset) array (right panel). As such, there was no detectable contamination noted on the reset array.
  • experiments were performed to analyze the hybridization of a fluorescently labeled oligonucleotide to the capture probes on three different arrays: (1) an array slide that had fixed and stained tissue on it and was reset, (2) an array that had been processed through the entire spatial analyte localization workflow as described herein, and (3) a new array.
  • An image of the tissue on the control array (which was reset for array (1)) is seen in FIG. 7 A .
  • the array having fixed and stained tissue was exposed to the previously described reset protocol, and oligonucleotides containing partial Read 1 sequences complexed with Cy3 fluorescent moieties were hybridized to the array.
  • the fluorescently labeled oligonucleotides were also hybridized to the array that had been processed through the entire spatial analyte detection workflow (lacking tissue), as well as a new array.
  • Imaging the three arrays for 200 miliseconds (ms) show that overall fluorescence from the locations of the capture probes are comparable between the reset array and new array.
  • Both the reset array and the new array demonstrate a similar level of fluorescence (ability to bind the Cy3-partial Read 1) as compared to the array that was processed according to the spatial workflows described herein ( FIG. 7 C ).
  • the negative fluorescence of the spatial workflow slide provides evidence that once the spatial workflow involving enzymatic actions such as, for example, reverse transcription of mRNA analytes, slide reset is not possible using the tissue removal conditions described in the prior
  • FIG. 7 E In experiments to demonstrate the affect of the reset methods on probes affixed to the array slide, blocks of OCT medium without tissue were created and slices places on spatial array slides. Some slides were reset ( FIG. 7 E ) and some were not ( FIG. 7 F , control slides), after which Cy3 labelled-Read 1 oligos were applied to the arrays and binding of the labelled oligos to the probes on the arrays were measured via fluorescence.
  • FIG. 7 G demonstrates that the fluorescence intensity of the reset versus the control new (non-reset) slides was comparable, as such the oligos on the array slides were not adversely affected by the reset protocol.
  • Reset arrays can be used with both fixed and stained tissue as well as fresh frozen cryostat tissue sections.
  • Breast cancer tissue was originally applied to a spatial array (exemplary tissue shown in FIG. 9 A ).
  • the array was reset, and coronal mouse brain sections, either fixed and stained or fresh frozen sections, were applied to the reset arrays ( FIG. 8 ).
  • the reset array on the left of FIG. 8 shows exemplary imaging results after performing spatial analysis on a cryosectioned tissue that had not been fixed or stained but was reset and mouse brain reapplied to the reset slide.
  • the reset array in the middle image of FIG. 8 shows exemplary imaging results after performing spatial analysis on a fixed and stained mouse brain section after resetting the array.
  • the control array on the right of FIG. 8 shows exemplary imaging results after performing spatial analysis of a brain section on a slide that has not been reset.
  • the UMI counts for tissue sections on the reset arrays are similar to the control section on the new array.
  • MUCL1 is a gene highly expressed in human breast cancer tissue (exemplary expression shown in FIG. 9 A ).
  • the biological sample removal conditions reduced MUCL1 gene expression when 1 KOH wash was used to reset the slide following removal of the original breast cancer tissue ( FIG. 9 B ), and no MUCL1 expression was observed when 2 KOH washes were used to reset the slide following removal of the original breast cancer tissue ( FIG. 9 C ).
  • FIGS. 10 A-D show box plots of control mouse brain data compared to the reset arrays having human breast cancer or human heart tissue sections on the arrays, with regard to A) library quality, B) fraction reads with primer, homopolymer, or switch oligo sequence, C) fraction reads with ribosomal or mitochondrial UMI counts, and D) sensitivity.
  • the mapping was very consistent between the control and reset slides.
  • FIGS. 10 A the mapping was very consistent between the control and reset slides.
  • the fraction reads with primer or homopolymer sequence, or any TSO oligo sequence, as well as the fraction ribosomal protein UMI counts and fraction mitochondrial UMI counts were consistent between reset and control slides.
  • FIG. 10 D there was no significant difference in median genes in the reset arrays (either fixed and stained or not) and the control arrays, though there was a slight drop in median UMIs for reset slides (about 18% and about 13% for fixed and stained and non-fixed and stained, respectively).
  • the fixed and stained tissue sections and the fresh frozen tissue sections performed about equally on reset arrays.
  • FIG. 10 E overlaid UMAP plots are shown for mouse brain sections analyzed on a new non-reset array and reset arrays (either fixed and stained or not).
  • FIG. 10 F analysis of HPCA is shown for mouse brain sections on a new non-reset array and reset arrays (either fixed and stained or not); in the upper figures, H&E staining is shown, with a box around the hippocampal region, and in the lower figures, gene expression analysis is shown, focused on the boxed hippocampal region.
  • the data in FIGS. 10 A-F demonstrate that the reset arrays are equally sensitive as a control non-reset array with respect to the fraction of usable reads. There was no significant difference in median genes between reset (pre-fixation or H&E) and control arrays, though there was a slight decrease in median UMIs for the reset arrays.
  • Resetting arrays is compatible with use of immunofluorescence, both before reset, and when using a new biological sample on an array.
  • Human breast cancer tissue was initially placed on a spatial array and stained with DAPI, an Alexa 647-conjugated anti-CD3 antibody (Biolegend), and an Alexa 488-conjugated anti-CD8 antibody (Biolegend).
  • the array was reset as described in Example 1, and a mouse brain tissue sample was placed on the reset array.
  • the mouse brain tissue was stained with DAPI, an Alexa 555-conjugated anti-NeuN antibody (Abcam), and a FITC-conjugated anti-GFAP antibody (Abcam).
  • DAPI an Alexa 555-conjugated anti-NeuN antibody
  • Abcam a FITC-conjugated anti-GFAP antibody
  • FIG. 11 B shows that the UMI count appears similar between reset (top row) and control (bottom row) of replicate samples, with a potentially visible decrease of UMI counts in the reset slides.
  • FIGS. 11 C-E show box plots of mouse brain tissue on control slides and mouse brain tissue on slides that previously had IF-stained biological samples on them, were reset, and a mouse brain sample placed on the reset array: C) library quality, D) contamination of primers in the library, and E) sensitivity.
  • the metrics for mapping, usable reads, and fraction of reads per spot were very comparable between the control sample (on a non-reset array) and a sample on a reset array.
  • the metrics for homopolymer or template switching oligonucleotide (TSO) were very comparable between the control sample (on a non-reset array) and a sample on a reset array.
  • TSO template switching oligonucleotide
  • FIG. 11 E no significant difference was observed in median genes between the control sample (on a non-reset array) and a sample on a reset array, though a slight decrease was observed in the number of UMIs detected for the sample on a reset array compared to the control sample (on a non-reset array).
  • FIG. 11 C the metrics for mapping, usable reads, and fraction of reads per spot were very comparable between the control sample (on a non-reset array) and a sample on a reset array.
  • TSO template switching oligonucleotide
  • FIGS. 11 A-G demonstrate that the reset array provided for similar imaging, library quality and UMI counts as compared to a non-reset array.
  • a mouse brain tissue sample was evaluated on arrays that had been reset one, two, or three times as in Example 1 and compared to a mouse brain tissue sample on a non-reset array (control).
  • the first tissue set on the arrays was a human breast cancer tissue.
  • the arrays were reset, and for the twice and three-times reset arrays, a human lung tissue sample was placed on the array.
  • the arrays were reset, for the three-times reset array, a human cerebellum tissue sample was placed on the array.
  • the array was reset. All slides were fixed with methanol and stained with hematoxylin and eosin.
  • FIG. 12 A shows that the UMI count appears similar for the control and multiple-reset samples, with a potentially visible decrease of UMI counts in the reset slides.
  • FIGS. 12 B-D show plots of mouse brain tissue on control slides and mouse brain tissue on slides that had been reset one, two, or three times: B) library quality, C) contamination of primers in the library, and D) sensitivity.
  • the metrics for mapping, usable reads, and fraction of reads per spot are very comparable between the control sample (on a non-reset array) and samples on reset arrays.
  • FIGS. 12 A-D demonstrate that an array can be reset one or more times without substantially impacting library quality, UMI count, and sensitivity.
  • Resetting arrays can be performed on tissue optimization arrays, for example, for determining conditions for permeabilization and/or analyte capture following removal of a first biological sample.
  • tissue optimization arrays Three tissues were tested for the effect of reset on permeabilization of the second biological sample and/or the capture of transcripts therefrom on non-spatially barcoded (i.e., tissue optimization) arrays: mouse brain, mouse liver, and mouse spleen.
  • the arrays initially had human lung tumor samples covering the entire capture area of the arrays, and the slides were reset as in Example 1, and the new tissues were placed on the slide, stained with H&E, permeabilized, and the transcripts were captured. Capture was evaluated by fluorescence microscopy of reverse-transcribed cDNA using fluorescent nucleotides.
  • the H&E stained mouse brain samples can be compared to the fluorescence images in FIG. 13 B , and the mean fluorescence intensity is shown in FIG. 13 C .
  • the H&E stained mouse liver samples can be compared to the fluorescence images in FIG. 14 B .
  • the H&E stained mouse spleen samples can be compared to the fluorescence images in FIG. 15 B .
  • the control samples on non-reset arrays
  • the samples on reset arrays are shown on the right. While some of the reset fluorescence appeared to be less than that of the control ( FIG. 14 B ), or more than the control ( FIG. 15 B ), no specific trend was observed in differences in transcript capture between the control samples and samples on reset arrays for the three tissue types.
  • Resetting arrays can be performed with multiple tissue types as the initial biological sample.
  • different types of fixed and stained mouse or human tissues were originally placed on an array (upper figures in FIGS. 16 B-E and 17 B-D), and each array was reset according to Example 1.
  • a new tissue sample was placed on each array, and the sample was analyzed using a spatial gene expression analysis (lower figures in FIGS. 16 B-E and 17 B-D).
  • Control samples can be seen in FIGS. 16 A (human heart tissue) and 17 A (mouse brain tissue)
  • FIG. 16 A-E the reset process is shown mouse eye as the original tissue sample ( FIG. 16 B ), mouse small intestine as the original tissue sample ( FIG. 16 C ), mouse testes as the original tissue sample ( FIG.
  • FIG. 16 D mouse kidney as the original tissue sample
  • FIG. 16 E mouse kidney as the original tissue sample
  • human heart tissue was used as the tissue on the reset slides.
  • FIG. 17 A-D the reset process is shown for human breast cancer as the original tissue sample ( FIG. 17 B ), human heart as the original tissue sample ( FIG. 17 C ), and human brain as the original tissue sample ( FIG. 17 D ), where mouse brain tissue was used as the tissue on the reset slides.

Abstract

Provided herein are methods for resetting an array to which a biological sample has been applied that include treating the array with a set of biological sample removal conditions.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • Pursuant to 35 U.S.C. § 119(e), this application is a continuation of U.S. application Ser. No. 17/548,047, filed on Dec. 10, 2021, which is a continuation of International Patent Application PCT/US2021/034212, with an international filing date of May 26, 2021, which claims priority to U.S. Provisional Patent Application Ser. No. 63/030,190, filed on May 26, 2020 and U.S. Provisional Patent Application Ser. No. 63/041,481, filed on Jun. 19, 2020, each of which are hereby incorporated by reference in their entireties.
  • BACKGROUND
  • Cells within a tissue of a subject have differences in cell morphology and/or function due to varied analyte levels (e.g., gene and/or protein expression) within the different cells. The specific position of a cell within a tissue (e.g., the cell's position relative to neighboring cells or the cell's position relative to the tissue microenvironment) can affect, e.g., the cell's morphology, differentiation, fate, viability, proliferation, behavior, and signaling and cross-talk with other cells in the tissue.
  • Spatial heterogeneity has been previously studied using techniques that only provide data for a small handful of analytes in the context of an intact tissue or a portion of a tissue, or provide a lot of analyte data for single cells, but fail to provide information regarding the position of the single cell in a parent biological sample (e.g., tissue sample).
  • An array may be used to process a biological sample (e.g., tissue sample) for various purposes, such as identification or characterization of an analyte within the biological sample. However, incorrectly placing tissue sample within the capture area and/or placing damaged/folded tissue on the array have been proven to be a common issue when using arrays to study spatial organization of gene expression.
  • SUMMARY
  • Provided herein are methods of resetting an array, allowing removal of tissue from the array and reprocessing new tissue onto the array without seeing a significant decrease in sequencing metrics.
  • In one aspect, provided herein is a method for resetting an array, the method including: (a) applying a biological sample to an array wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, (b) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (c) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed prior to step (c), thereby resetting the array.
  • In another aspect, provided herein is a method for resetting an array to which a biological sample has been applied, the method including: (a) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed on the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • In some embodiments, identifying that the biological sample has been applied to the array incorrectly can include identifying that one or more fiducial markers on the array is obscured by the biological sample. In some embodiments, identifying that the biological sample has been applied to the array incorrectly can include identifying that the biological sample is folded. In some embodiments, identifying that the biological sample has been applied to the array incorrectly can include identifying that the biological sample is torn or damaged. In some embodiments, identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample overlaps with a second biological sample. In some embodiments, identifying that the biological sample does not contain the region of interest can include imaging the biological sample after staining and/or immunofluorescence. In some embodiments, an image produced by imaging the biological sample demonstrates an incorrect application of a stain and/or an immunofluorescence antibody. In some embodiments, an image produced by imaging the biological sample demonstrates nonspecific staining of the biological sample.
  • Also provided herein is a method for resetting an array to which a biological sample has been applied, the method including: treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed on the array, wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • Provided additionally herein is a method for resetting an array, the method including: (a) applying a biological sample to an array wherein the array includes a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, and (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, wherein no reverse transcription has been performed prior to step (b), thereby resetting the array.
  • In some embodiments, the array can be a tissue optimization array. In some embodiments, treating the array with the set of biological sample removal conditions can include treating the array with a base. In some embodiments, the base can include a base selected from the group consisting of potassium hydroxide and sodium hydroxide. In some embodiments, treating the array with the base can include treating the array with about 40 mM to about 120 mM of the base. In some embodiments, treating the array with the base can include treating the array with about 75 mM to about 85 mM of the base. In some embodiments, treating the array with the base can include treating the array with the base for between about 1 minute and about 20 minutes. In some embodiments, treating the array with the base includes treating the array with the base for about 8 minutes to about 12 minutes. In some embodiments, treating the array with a base can include treating the array with a base for one, two, three, four or five cycles.
  • In some embodiments, treating the array with the set of biological sample removal conditions further can include washing the array with water one or more times. In some embodiments, the water can be nuclease-free water and/or ultrapure water.
  • In some embodiments, treating the array with the set of biological sample removal conditions further can include washing the array with a buffer one or more times. In some embodiments, the buffer can be selected from the group consisting of Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof. In some embodiments, the buffer can have a concentration of about 1 mM to about 20 mM. In some embodiments, the buffer can have a concentration of about 8 mM to about 12 mM. In some embodiments, the buffer can have a pH of about 6.0 to about 8.0. In some embodiments, the buffer can have a pH of about 6.5 to about 7.5. In some embodiments, the buffer can have a pH of about 6.8 to about 7.2.
  • In some embodiments, treating the array with the set of biological sample removal conditions can further include drying the array.
  • In some embodiments treating the array with the set of biological sample removal conditions, the biological sample is not permeabilized.
  • In some embodiments, treating the array with the set of biological sample removal conditions can include, sequentially, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying the array.
  • In some embodiments, treating the array with the set of biological sample removal conditions further can include treating the array with a proteinase. In some embodiments, treating the array with the proteinase precedes treating with the base. In some embodiments, the proteinase can be proteinase K. In some embodiments, treating the array with the proteinase can be for between 10 minutes and 2 hours. In some embodiments, treating the array with the proteinase can be for between 30 minutes and 90 minutes. In some embodiments, treating the array with the proteinase can be for about 55 minutes to about 65 minutes. In some embodiments, during treatment of the array with the proteinase, the biological sample can be incubated at between 40 degrees and 60 degrees Celsius. In some embodiments, during treatment of the array with proteinase, the biological sample can be incubated at between 45 degrees to about 55 degrees Celsius. In some embodiments, treating the array with the proteinase further can include treating the array with a surfactant and a proteinase buffer. In some embodiments, the surfactant can be sodium dodecyl sulfate. In some embodiments, the surfactant can be present in an amount of about 5% w/v to about 20% w/v. In some embodiments, the surfactant can be present in an amount of about 8% w/v to about 10% w/v. In some embodiments, the proteinase buffer can be Tris. In some embodiments, the proteinase buffer can have a concentration of about 1 mM to about 20 mM. In some embodiments, the proteinase buffer can have a concentration of about 8 mM to about 12 mM. In some embodiments, the proteinase buffer can have a pH of about 8.0 to about 10.0. In some embodiments, the proteinase buffer can have a pH of about 8.5 to about 9.5. In some embodiments, the proteinase buffer can have a pH of about 8.8 to about 9.2.
  • In some embodiments, treating the array with the set of biological sample removal conditions can include, sequentially, treating the array with the proteinease, washing the array with water, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying.
  • In some embodiments, the array can include a slide. In some embodiments, the slide can be a glass slide.
  • In some embodiments, the biological sample can be an animal sample. In some embodiments, the biological sample can be a human sample. In some embodiments, the biological sample can be a rodent sample. In some embodiments, the biological sample can be a breast, brain, heart, small intestine, eye, testes, or kidney sample. In some embodiments, biological sample can be a cancerous sample or a sample suspected of having cancerous cells. In some embodiments, the biological sample can be a tissue section. In some embodiments, the tissue section can be a fresh frozen tissue section. In some embodiments, the biological sample can be fixed. In some embodiments, the biological sample can be formalin-fixed. In some embodiments, the biological sample can be fixed using methanol. In some embodiments, the biological sample can be fixed using acetone. In some embodiments, the biological sample can be stained. In some embodiments, the stain can be a histological stain. In some embodiments, the histological stain can be a hematoxylin and eosin stain. In some embodiments, the biological sample can be imaged using immunofluorescence.
  • Also provided herein is a method for capturing an analyte using an array, the method including: (a) resetting an array according to any one or more of the methods described herein, wherein the array is a spatial array and the capture probe further includes a spatial barcode, (b) contacting the spatial array with a biological sample, and (c) capturing an analyte from the biological sample on the spatial array. In some embodiments, the analyte can include RNA, DNA, a protein, a small molecule, or a metabolite. In some embodiments, the method can further include determining (i) all or a portion of a sequence corresponding to the spatial barcode, or a complement thereof, and (ii) all or a portion of a sequence corresponding to the analyte, or a complement thereof.
  • Also provided herein is a method for analyzing capture of a plurality of analytes on a tissue optimization array, the method including (a) resetting a tissue optimization array according to any one of claims 10-65, (b) contacting the tissue optimization array with a biological sample, (c) capturing a plurality of analytes from the biological sample on the tissue optimization array, and (d) analyzing the amount, distribution, and/or diffusion of the plurality of analytes based on the analytes from the biological sample captured on the tissue optimization array. In some embodiments, the plurality of analytes includes RNA, DNA, a protein, a small molecule, a metabolite, or a combination thereof. All publications, patents, patent applications, and information available on the internet and mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent, patent application, or item of information was specifically and individually indicated to be incorporated by reference. To the extent publications, patents, patent applications, and items of information incorporated by reference contradict the disclosure contained in the specification, the specification is intended to supersede and/or take precedence over any such contradictory material.
  • Where values are described in terms of ranges, it should be understood that the description includes the disclosure of all possible sub-ranges within such ranges, as well as specific numerical values that fall within such ranges irrespective of whether a specific numerical value or specific sub-range is expressly stated.
  • The term “each,” when used in reference to a collection of items, is intended to identify an individual item in the collection but does not necessarily refer to every item in the collection, unless expressly stated otherwise, or unless the context of the usage clearly indicates otherwise.
  • Various embodiments of the features of this disclosure are described herein. However, it should be understood that such embodiments are provided merely by way of example, and numerous variations, changes, and substitutions can occur to those skilled in the art without departing from the scope of this disclosure. It should also be understood that various alternatives to the specific embodiments described herein are also within the scope of this disclosure.
  • DESCRIPTION OF DRAWINGS
  • The following drawings illustrate certain embodiments of the features and advantages of this disclosure. These embodiments are not intended to limit the scope of the appended claims in any manner. Like reference symbols in the drawings indicate like elements.
  • FIG. 1 shows images of fixed and stained tissue sections on an array. Tissue sections can be extremely thin and delicate, and positioning the tissue sections on an array with minimal folding or tearing of the tissue can be a difficult task. As seen in the images, parts of the tissue sections are not well positioned on the array (e.g., folded, torn, mis-aligned, or obscuring fidicuals). A user may wish to remove such a tissue section from an array and either reposition the tissue section or apply a new tissue section to the array without interference or contamination from the first tissue section.
  • FIG. 2A shows an exemplary workflow for resetting a slide containing multiple arrays.
  • FIG. 2B shows exemplary images of arrays after application of tissue removal conditions without potassium hydroxide (left) and tissue removal conditions including potassium hydroxide (right).
  • FIG. 3 shows exemplary images of an array originally in contact with mouse brain tissue (left) and the same array after removing the mouse brain tissue and replacing it with a sample of sectioned human ovarian tumor (right).
  • FIG. 4 shows exemplary images of four replicates of reset arrays originally in contact with mouse brain tissue (top row). The middle row shows exemplary imaging results after performing spatial analysis on the replicate arrays after resetting the replicate arrays to remove the associated mouse brain tissue and replacing it with sectioned ovarian tumor tissue. The bottom row shows exemplary control array imaging results after performing spatial analysis on arrays with ovarian tumor tissue, which have not been reset.
  • FIG. 5A-D shows plots and Dunnett's control data for spatial analyte data from control (non-reset) spatial arrays vs. reset spatial arrays for; FIG. 5A) Reads Mapped Confidently to Transcriptome, FIG. 5B) Fraction of Usable Reads, FIG. 5C) Median Genes/Spot and FIG. 5D) Median UMI Counts/Spot.
  • FIG. 6A-B show FIG. 6A) gene expression of HPCA, a gene highly expressed in the hippocampus region of mouse brain (indicated with arrows) and FIG. 6B) gene expression of HPCA on two arrays comprising ovarian tumor tissue sections: a reset array (left; wherein the array was previously in contact with mouse brain) and a control array (right; wherein the array had not been previously in contact with any other tissue); no detectable expression of mouse HPCA was observed in the reset array, indicating that there was no contamination or interference of mouse HPCA from the mouse brain tissue section when analyzing the ovarian tumor tissue on the reset array.
  • FIG. 7A-G shows imaging results from a reset array (FIG. 7B; previous tissue shown in FIG. 7A), new array (FIG. 7D), followed by hybridizing a Cy3 labeled-partial Read 1 oligonucleotide to the spots, rinsing and imaging the arrays. The negative control array (FIG. 7C) was processed through an entire spatial workflow protocol without any tissue. In the absence of tissue, no gene expression should be detected. Imaging each of the three arrays for 200 milliseconds shows that the overall fluorescence is comparable between the reset array and new array. Both the reset array and the new array demonstrate a similar level of fluorescence (ability to bind the Cy3-partial Read 1 oligonucleotide) as compared to the no tissue, full spatial workflow control array. FIGS. 7E-F demonstrate the affect of resetting a slide on the probes present on the slide. Blank OCT sections (containing no tissue samples) on array slides were processed through the reset workflow, FIG. 7F is exemplary of a reset slide and FIG. 7E is exemplary of a slide that was not reset (control). FIG. 7G shows the comparative fluorescence intensity of the Cy3 labelled Read 1 oligonucleotide binding to the reset and the control slides, showing minimal reduction in fluorescence and minimal affect of the reset protocol on the probes on the array.
  • FIG. 8 shows gene expression intensity results for reset arrays when comparing an unstained and unfixed tissue sample (left) to a fixed and stained tissue sample (middle). The control array is an array not previously contacted with tissue (e.g., new array) UMI counts were similar between arrays that were reset with fresh frozen tissue (left), fixed and stained tissue (center), and an array that was not reset (right).
  • FIG. 9A-C shows FIG. 9A) gene expression of MUCL1, a gene highly expressed in an exemplary human breast cancer tissue section. FIG. 9B shows gene expression of MUCL1 on an array that originally had human breast cancer tissue on it, was subjected to tissue removal conditions including a single KOH wash, and a mouse brain tissue section was placed on it. Some spatial concentration of MUCL1 was observed on the reset array, indicating that there was some contamination or interference with MUCL1 from the human tissue with the mouse brain tissue of the reset array. FIG. 9C shows gene expression on an array that originally had human breast cancer tissue on it, was subjected to tissue removal conditions including two KOH washes, and mouse brain tissue was placed on it. No spatial concentration of MUCL1 was observed on the reset array, indicating that there was no contamination or interference with MUCL1 from the human tissue with the mouse brain tissue of the reset array.
  • FIG. 10A-F show box plots of control mouse brain data compared to reset arrays, with new human breast cancer or human heart tissue samples placed on the array with regard to: FIG. 10A) library quality, FIG. 10B) fraction of reads with primer, homopolymer, or switch oligo sequence, FIG. 10C) fraction of reads with ribosomal or mitochondrial UMI counts, and FIG. 10D) sensitivity. FIG. 10E shows overlaid UMAP plots of mouse brain data from a new array and reset arrays (either reset post H&E staining, reset prior to fixation, or a new slide control with no reset). FIG. 10F shows mouse brain tissue sections stained with hematoxylin and eosin (upper figures) and gene expression analysis of hippocalcin (HPCA) (lower figures) as determined on a new array and reset arrays (as conditions as found in FIG. 10E).
  • FIG. 11A-G show analysis of immunofluorescence staining on array reset with regard to FIG. 11A) immunofluorescence imaging, FIG. 11B) UMI count, FIG. 11C) library quality, FIG. 11D) contamination of primers in the library, and FIG. 11E) sensitivity. FIG. 11F shows overlaid UMAP plots of mouse brain data from a new (control) array and a reset array, both of which were processed using immunostaining. FIG. 11G shows a scatter plot of gene expression data from a new (control) array and a reset array, both of which were processed using immunostaining.
  • FIG. 12A-D show the effect of resetting an array multiple times with regard to FIG. 12A) UMI count, FIG. 12B) library quality, FIG. 12C) contamination of primers in the library, and FIG. 12D) sensitivity.
  • FIG. 13A-C show the effect of array reset using mouse brain samples using FIG. 13A) H&E staining, FIG. 13B) fluorescence imaging of cDNA reverse transcribed from captured analytes (time in minutes (m) is time of permeabilization), and FIG. 13C) the mean fluorescence intensity from FIG. 13B of a control versus reset array for different tissue permeabilization times.
  • FIG. 14A-B show the effect of array reset using mouse liver samples using FIG. 14A) H&E staining and FIG. 14B) fluorescence imaging of cDNA reverse transcribed from captured analytes.
  • FIG. 15A-B show the effect of array reset using mouse spleen samples using FIG. 15A) H&E staining and FIG. 15B) fluorescence imaging of cDNA reverse transcribed from captured analytes.
  • FIG. 16A-E show spatial gene analysis of human heart tissue on a FIG. 16A) new (control) array, and reset arrays that originally had FIG. 16B) mouse eye tissue, FIG. 16C) mouse small intestine tissue, FIG. 16D) mouse testes tissue, and FIG. 16E) mouse kidney tissue, placed on them.
  • FIG. 17A-D show spatial gene analysis of mouse brain tissue on FIG. 17A) a new (control) array, and reset arrays that originally had FIG. 17B) human breast cancer tissue, FIG. 17C) human heart tissue, and FIG. 17D) human brain tissue, placed on them.
  • DETAILED DESCRIPTION
  • Placing a biological sample such as a tissue sample on a location on an array can be challenging. For example, tissue sections which are often around 5-10 μm thick can be difficult to handle. Tissue sections can fold back on themselves, they can tear or be damaged such that proceeding with spatial assays to determine analyte locations within a tissue are compromised. In some cases, after imaging, a tissue sample can be determined not to contain a region of interest (e.g., tumor region or immune cell infiltrate). It would be very beneficial if, once placed on an array, a tissue sample could be removed, repositioned or altogether replaced with another tissue sample without compromising the downstream analysis (e.g., spatial assay). The present disclosure provides methods for repositioning, removing, replacing, or resetting a tissue sample on an array.
  • Spatial analysis methodologies and compositions described herein can provide a vast amount of analyte and/or expression data for a variety of analytes within a biological sample at high spatial resolution, while retaining native spatial context. Spatial analysis methods and compositions can include, e.g., the use of a capture probe including a spatial barcode (e.g., a nucleic acid sequence that provides information as to the location or position of an analyte within a cell or a tissue sample (e.g., mammalian cell or a mammalian tissue sample) and a capture domain that is capable of binding to an analyte (e.g., a protein and/or a nucleic acid) produced by and/or present in a cell. Spatial analysis methods and compositions can also include the use of a capture probe having a capture domain that captures an intermediate agent for indirect detection of an analyte. For example, the intermediate agent can include a nucleic acid sequence (e.g., a barcode) associated with the intermediate agent. Detection of the intermediate agent is therefore indicative of the analyte in the cell or tissue sample.
  • Non-limiting aspects of spatial analysis methodologies and compositions are described in U.S. Pat. Nos. 10,774,374, 10,724,078, 10,480,022, 10,059,990, 10,041,949, 10,002,316, 9,879,313, 9,783,841, 9,727,810, 9,593,365, 8,951,726, 8,604,182, 7,709,198, U.S. Patent Application Publication Nos. 2020/239946, 2020/080136, 2020/0277663, 2020/024641, 2019/330617, 2019/264268, 2020/256867, 2020/224244, 2019/194709, 2019/161796, 2019/085383, 2019/055594, 2018/216161, 2018/051322, 2018/0245142, 2017/241911, 2017/089811, 2017/067096, 2017/029875, 2017/0016053, 2016/108458, 2015/000854, 2013/171621, WO 2018/091676, WO 2020/176788, Rodrigues et al., Science 363(6434):1463-1467, 2019; Lee et al., Nat. Protoc. 10(3):442-458, 2015; Trejo et al., PLoS ONE 14(2):e0212031, 2019; Chen et al., Science 348(6233):aaa6090, 2015; Gao et al., BMC Biol. 15:50, 2017; and Gupta et al., Nature Biotechnol. 36:1197-1202, 2018; the Visium Spatial Gene Expression Reagent Kits User Guide (e.g., Rev C, dated June 2020), and/or the Visium Spatial Tissue Optimization Reagent Kits User Guide (e.g., Rev C, dated July 2020), both of which are available at the 10× Genomics Support Documentation website, and can be used herein in any combination. Further non-limiting aspects of spatial analysis methodologies and compositions are described herein.
  • Some general terminology that may be used in this disclosure can be found in Section (I)(b) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Typically, a “barcode” is a label, or identifier, that conveys or is capable of conveying information (e.g., information about an analyte in a sample, a bead, and/or a capture probe). A barcode can be part of an analyte, or independent of an analyte. A barcode can be attached to an analyte. A particular barcode can be unique relative to other barcodes. For the purpose of this disclosure, an “analyte” can include any biological substance, structure, moiety, or component to be analyzed. The term “target” can similarly refer to an analyte of interest.
  • Analytes can be broadly classified into one of two groups: nucleic acid analytes, and non-nucleic acid analytes. Examples of non-nucleic acid analytes include, but are not limited to, lipids, carbohydrates, peptides, proteins, glycoproteins (N-linked or O-linked), lipoproteins, phosphoproteins, specific phosphorylated or acetylated variants of proteins, amidation variants of proteins, hydroxylation variants of proteins, methylation variants of proteins, ubiquitylation variants of proteins, sulfation variants of proteins, viral proteins (e.g., viral capsid, viral envelope, viral coat, viral accessory, viral glycoproteins, viral spike, etc.), extracellular and intracellular proteins, antibodies, and antigen binding fragments. In some embodiments, the analyte(s) can be localized to subcellular location(s), including, for example, organelles, e.g., mitochondria, Golgi apparatus, endoplasmic reticulum, chloroplasts, endocytic vesicles, exocytic vesicles, vacuoles, lysosomes, etc. In some embodiments, analyte(s) can be peptides or proteins, including without limitation antibodies and enzymes. Additional examples of analytes can be found in Section (I)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. In some embodiments, an analyte can be detected indirectly, such as through detection of an intermediate agent, for example, a ligation product or an analyte capture agent (e.g., an oligonucleotide-conjugated antibody), such as those described herein.
  • A “biological sample” is typically obtained from the subject for analysis using any of a variety of techniques including, but not limited to, biopsy, surgery, and laser capture microscopy (LCM), and generally includes cells and/or other biological material from the subject. In some embodiments, a biological sample can be a tissue section. In some embodiments, a biological sample can be a fixed and/or stained biological sample (e.g., a fixed and/or stained tissue section). Non-limiting examples of stains include histological stains (e.g., hematoxylin and/or eosin) and immunological stains (e.g., fluorescent stains). In some embodiments, a biological sample (e.g., a fixed and/or stained biological sample) can be imaged. Biological samples are also described in Section (I)(d) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • In some embodiments, a biological sample is permeabilized with one or more permeabilization reagents. For example, permeabilization of a biological sample can facilitate analyte capture. Exemplary permeabilization agents and conditions are described in Section (I)(d)(ii)(13) or the Exemplary Embodiments Section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Array-based spatial analysis methods involve the transfer of one or more analytes from a biological sample to an array of features on a substrate, where each feature is associated with a unique spatial location on the array. Subsequent analysis of the transferred analytes includes determining the identity of the analytes and the spatial location of the analytes within the biological sample. The spatial location of an analyte within the biological sample is determined based on the feature to which the analyte is bound (e.g., directly or indirectly) on the array, and the feature's relative spatial location within the array.
  • A “capture probe” refers to any molecule capable of capturing (directly or indirectly) and/or labelling an analyte (e.g., an analyte of interest) in a biological sample. In some embodiments, the capture probe is a nucleic acid or a polypeptide. In some embodiments, the capture probe includes a barcode (e.g., a spatial barcode and/or a unique molecular identifier (UMI)) and a capture domain). In some embodiments, a capture probe can include a cleavage domain and/or a functional domain (e.g., a primer-binding site, such as for next-generation sequencing (NGS)). See, e.g., Section (II)(b) (e.g., subsections (i)-(vi)) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Generation of capture probes can be achieved by any appropriate method, including those described in Section (II)(d)(ii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • In some embodiments, more than one analyte type (e.g., nucleic acids and proteins) from a biological sample can be detected (e.g., simultaneously or sequentially) using any appropriate multiplexing technique, such as those described in Section (IV) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • In some embodiments, detection of one or more analytes (e.g., protein analytes) can be performed using one or more analyte capture agents. As used herein, an “analyte capture agent” refers to an agent that interacts with an analyte (e.g., an analyte in a biological sample) and with a capture probe (e.g., a capture probe attached to a substrate or a feature) to identify the analyte. In some embodiments, the analyte capture agent includes: (i) an analyte binding moiety (e.g., that binds to an analyte), for example, an antibody or antigen-binding fragment thereof; (ii) analyte binding moiety barcode; and (iii) an analyte capture sequence. As used herein, the term “analyte binding moiety barcode” refers to a barcode that is associated with or otherwise identifies the analyte binding moiety. As used herein, the term “analyte capture sequence” refers to a region or moiety configured to hybridize to, bind to, couple to, or otherwise interact with a capture domain of a capture probe. In some cases, an analyte binding moiety barcode (or portion thereof) may be able to be removed (e.g., cleaved) from the analyte capture agent. Additional description of analyte capture agents can be found in Section (II)(b)(ix) of WO 2020/176788 and/or Section (II)(b)(viii) U.S. Patent Application Publication No. 2020/0277663.
  • There are at least two methods to associate a spatial barcode with one or more neighboring cells, such that the spatial barcode identifies the one or more cells, and/or contents of the one or more cells, as associated with a particular spatial location. One method is to promote analytes or analyte proxies (e.g., intermediate agents) out of a cell and towards a spatially-barcoded array (e.g., including spatially-barcoded capture probes). Another method is to cleave spatially-barcoded capture probes from an array and promote the spatially-barcoded capture probes towards and/or into or onto the biological sample.
  • In some cases, capture probes may be configured to prime, replicate, and consequently yield optionally barcoded extension products from a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent (e.g., a ligation product or an analyte capture agent), or a portion thereof), or derivatives thereof (see, e.g., Section (II)(b)(vii) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663 regarding extended capture probes). In some cases, capture probes may be configured to form ligation products with a template (e.g., a DNA or RNA template, such as an analyte or an intermediate agent, or portion thereof), thereby creating ligations products that serve as proxies for a template.
  • As used herein, an “extended capture probe” refers to a capture probe having additional nucleotides added to the terminus (e.g., 3′ or 5′ end) of the capture probe thereby extending the overall length of the capture probe. For example, an “extended 3′ end” indicates additional nucleotides were added to the most 3′ nucleotide of the capture probe to extend the length of the capture probe, for example, by polymerization reactions used to extend nucleic acid molecules including templated polymerization catalyzed by a polymerase (e.g., a DNA polymerase or a reverse transcriptase). In some embodiments, extending the capture probe includes adding to a 3′ end of a capture probe a nucleic acid sequence that is complementary to a nucleic acid sequence of an analyte or intermediate agent specifically bound to the capture domain of the capture probe. In some embodiments, the capture probe is extended using reverse transcription. In some embodiments, the capture probe is extended using one or more DNA polymerases. The extended capture probes include the sequence of the capture probe and the sequence of the spatial barcode of the capture probe.
  • In some embodiments, extended capture probes are amplified (e.g., in bulk solution or on the array) to yield quantities that are sufficient for downstream analysis, e.g., via DNA sequencing. In some embodiments, extended capture probes (e.g., DNA molecules) act as templates for an amplification reaction (e.g., a polymerase chain reaction).
  • Additional variants of spatial analysis methods, including in some embodiments, an imaging step, are described in Section (II)(a) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Analysis of captured analytes (and/or intermediate agents or portions thereof), for example, including sample removal, extension of capture probes, sequencing (e.g., of a cleaved extended capture probe and/or a cDNA molecule complementary to an extended capture probe), sequencing on the array (e.g., using, for example, in situ hybridization or in situ ligation approaches), temporal analysis, and/or proximity capture, is described in Section (II)(g) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Some quality control measures are described in Section (II)(h) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Spatial information can provide information of biological and/or medical importance. For example, the methods and compositions described herein can allow for: identification of one or more biomarkers (e.g., diagnostic, prognostic, and/or for determination of efficacy of a treatment) of a disease or disorder; identification of a candidate drug target for treatment of a disease or disorder; identification (e.g., diagnosis) of a subject as having a disease or disorder; identification of stage and/or prognosis of a disease or disorder in a subject; identification of a subject as having an increased likelihood of developing a disease or disorder; monitoring of progression of a disease or disorder in a subject; determination of efficacy of a treatment of a disease or disorder in a subject; identification of a patient subpopulation for which a treatment is effective for a disease or disorder; modification of a treatment of a subject with a disease or disorder; selection of a subject for participation in a clinical trial; and/or selection of a treatment for a subject with a disease or disorder.
  • Spatial information can provide information of biological importance. For example, the methods and compositions described herein can allow for: identification of transcriptome and/or proteome expression profiles (e.g., in healthy and/or diseased tissue); identification of multiple analyte types in close proximity (e.g., nearest neighbor analysis); determination of up- and/or down-regulated genes and/or proteins in diseased tissue; characterization of tumor microenvironments; characterization of tumor immune responses; characterization of cells types and their co-localization in tissue; and identification of genetic variants within tissues (e.g., based on gene and/or protein expression profiles associated with specific disease or disorder biomarkers).
  • Typically, for spatial array-based methods, a substrate functions as a support for direct or indirect attachment of capture probes to features of the array. A “feature” is an entity that acts as a support or repository for various molecular entities used in spatial analysis. In some embodiments, some or all of the features in an array are functionalized for analyte capture. Exemplary substrates are described in Section (II)(c) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. Exemplary features and geometric attributes of an array can be found in Sections (II)(d)(i), (II)(d)(iii), and (II)(d)(iv) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • Generally, analytes and/or intermediate agents (or portions thereof) can be captured when contacting a biological sample with a substrate including capture probes (e.g., a substrate with capture probes embedded, spotted, printed, fabricated on the substrate, or a substrate with features (e.g., beads, wells) comprising capture probes). As used herein, “contact,” “contacted,” and/or “contacting,” a biological sample with a substrate refers to any contact (e.g., direct or indirect) such that capture probes can interact (e.g., bind covalently or non-covalently (e.g., hybridize)) with analytes from the biological sample. Capture can be achieved actively (e.g., using electrophoresis) or passively (e.g., using diffusion). Analyte capture is further described in Section (II)(e) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • In some cases, spatial analysis can be performed by attaching and/or introducing a molecule (e.g., a peptide, a lipid, or a nucleic acid molecule) having a barcode (e.g., a spatial barcode) to a biological sample (e.g., to a cell in a biological sample). In some embodiments, a plurality of molecules (e.g., a plurality of nucleic acid molecules) having a plurality of barcodes (e.g., a plurality of spatial barcodes) are introduced to a biological sample (e.g., to a plurality of cells in a biological sample) for use in spatial analysis. In some embodiments, after attaching and/or introducing a molecule having a barcode to a biological sample, the biological sample can be physically separated (e.g., dissociated) into single cells or cell groups for analysis. Some such methods of spatial analysis are described in Section (III) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663.
  • In some cases, spatial analysis can be performed by detecting multiple oligonucleotides that hybridize to an analyte. In some instances, for example, spatial analysis can be performed using RNA-templated ligation (RTL). Methods of RTL have been described previously. See, e.g., Credle et al., Nucleic Acids Res. 2017 Aug. 21; 45(14):e128. Typically, RTL includes hybridization of two oligonucleotides to adjacent sequences on an analyte (e.g., an RNA molecule, such as an mRNA molecule). In some instances, the oligonucleotides are DNA molecules. In some instances, one of the oligonucleotides includes at least two ribonucleic acid bases at the 3′ end and/or the other oligonucleotide includes a phosphorylated nucleotide at the 5′ end. In some instances, one of the two oligonucleotides includes a capture domain (e.g., a poly(A) sequence, a non-homopolymeric sequence). After hybridization to the analyte, a ligase (e.g., SplintR ligase) ligates the two oligonucleotides together, creating a ligation product. In some instances, the two oligonucleotides hybridize to sequences that are not adjacent to one another. For example, hybridization of the two oligonucleotides creates a gap between the hybridized oligonucleotides. In some instances, a polymerase (e.g., a DNA polymerase) can extend one of the oligonucleotides prior to ligation. After ligation, the ligation product is released from the analyte. In some instances, the ligation product is released using an endonuclease (e.g., RNAse H). The released ligation product can then be captured by capture probes (e.g., instead of direct capture of an analyte) on an array, optionally amplified, and sequenced, thus determining the location and optionally the abundance of the analyte in the biological sample.
  • During analysis of spatial information, sequence information for a spatial barcode associated with an analyte is obtained, and the sequence information can be used to provide information about the spatial distribution of the analyte in the biological sample. Various methods can be used to obtain the spatial information. In some embodiments, specific capture probes and the analytes they capture are associated with specific locations in an array of features on a substrate. For example, specific spatial barcodes can be associated with specific array locations prior to array fabrication, and the sequences of the spatial barcodes can be stored (e.g., in a database) along with specific array location information, so that each spatial barcode uniquely maps to a particular array location.
  • Alternatively, specific spatial barcodes can be deposited at predetermined locations in an array of features during fabrication such that at each location, only one type of spatial barcode is present so that spatial barcodes are uniquely associated with a single feature of the array. Where necessary, the arrays can be decoded using any of the methods described herein so that spatial barcodes are uniquely associated with array feature locations, and this mapping can be stored as described above.
  • When sequence information is obtained for capture probes and/or analytes during analysis of spatial information, the locations of the capture probes and/or analytes can be determined by referring to the stored information that uniquely associates each spatial barcode with an array feature location. In this manner, specific capture probes and captured analytes are associated with specific locations in the array of features. Each array feature location represents a position relative to a coordinate reference point (e.g., an array location, a fiducial marker) for the array. Accordingly, each feature location has an “address” or location in the coordinate space of the array.
  • Some exemplary spatial analysis workflows are described in the Exemplary Embodiments section of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See, for example, the Exemplary embodiment starting with “In some non-limiting examples of the workflows described herein, the sample can be immersed . . . ” of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. See also, e.g., the Visium Spatial Gene Expression Reagent Kits User Guide (e.g., Rev C, dated June 2020), and/or the Visium Spatial Tissue Optimization Reagent Kits User Guide (e.g., Rev C, dated July 2020).
  • In some embodiments, spatial analysis can be performed using dedicated hardware and/or software, such as any of the systems described in Sections (II)(e)(ii) and/or (V) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663, or any of one or more of the devices or methods described in Sections Control Slide for Imaging, Methods of Using Control Slides and Substrates for, Systems of Using Control Slides and Substrates for Imaging, and/or Sample and Array Alignment Devices and Methods, Informational labels of WO 2020/123320.
  • Suitable systems for performing spatial analysis can include components such as a chamber (e.g., a flow cell or sealable, fluid-tight chamber) for containing a biological sample. The biological sample can be mounted for example, in a biological sample holder. One or more fluid chambers can be connected to the chamber and/or the sample holder via fluid conduits, and fluids can be delivered into the chamber and/or sample holder via fluidic pumps, vacuum sources, or other devices coupled to the fluid conduits that create a pressure gradient to drive fluid flow. One or more valves can also be connected to fluid conduits to regulate the flow of reagents from reservoirs to the chamber and/or sample holder.
  • The systems can optionally include a control unit that includes one or more electronic processors, an input interface, an output interface (such as a display), and a storage unit (e.g., a solid state storage medium such as, but not limited to, a magnetic, optical, or other solid state, persistent, writeable and/or re-writeable storage medium). The control unit can optionally be connected to one or more remote devices via a network. The control unit (and components thereof) can generally perform any of the steps and functions described herein. Where the system is connected to a remote device, the remote device (or devices) can perform any of the steps or features described herein. The systems can optionally include one or more detectors (e.g., CCD, CMOS) used to capture images. The systems can also optionally include one or more light sources (e.g., LED-based, diode-based, lasers) for illuminating a sample, a substrate with features, analytes from a biological sample captured on a substrate, and various control and calibration media.
  • The systems can optionally include software instructions encoded and/or implemented in one or more of tangible storage media and hardware components such as application specific integrated circuits. The software instructions, when executed by a control unit (and in particular, an electronic processor) or an integrated circuit, can cause the control unit, integrated circuit, or other component executing the software instructions to perform any of the method steps or functions described herein.
  • In some cases, the systems described herein can detect (e.g., register an image) the biological sample on the array. Exemplary methods to detect the biological sample on an array are described in PCT Application No. 2020/061064 and/or U.S. patent application Ser. No. 16/951,854.
  • Prior to transferring analytes from the biological sample to the array of features on the substrate, the biological sample can be aligned with the array. Alignment of a biological sample and an array of features including capture probes can facilitate spatial analysis, which can be used to detect differences in analyte presence and/or level within different positions in the biological sample, for example, to generate a three-dimensional map of the analyte presence and/or level. Exemplary methods to generate a two- and/or three-dimensional map of the analyte presence and/or level are described in PCT Application No. 2020/053655 and spatial analysis methods are generally described in WO 2020/061108 and/or U.S. patent application Ser. No. 16/951,864.
  • In some cases, a map of analyte presence and/or level can be aligned to an image of a biological sample using one or more fiducial markers, e.g., objects placed in the field of view of an imaging system which appear in the image produced, as described in the Substrate Attributes Section, Control Slide for Imaging Section of WO 2020/123320, PCT Application No. 2020/061066, and/or U.S. patent application Ser. No. 16/951,843. Fiducial markers can be used as a point of reference or measurement scale for alignment (e.g., to align a sample and an array, to align two substrates, to determine a location of a sample or array on a substrate relative to a fiducial marker) and/or for quantitative measurements of sizes and/or distances. Arrays that can be reset using the methods described herein include, for example, tissue optimization arrays and spatial gene expression arrays. In some cases, an array can be a tissue optimization array used to evaluate analyte capture (e.g., by cDNA synthesis using fluorescent nucleotide analogs). In some cases an array can be a spatial array. Generally, capture probes on a spatial array include spatial barcodes, and capture probes on a tissue optimization array do not, though both include capture domains to capture analytes from a biological sample.
  • Provided herein are methods for resetting an array (e.g., a spatial array or a tissue optimization array). In some embodiments, the first biological sample is fixed, stained and imaged prior to removing the tissue sample from the array (e.g., a spatial array or a tissue optimization array). Also provided herein are methods of capturing an analyte using an array (e.g., a spatial array) that has been reset using any of the methods described herein. Also provided herein are methods for analyzing capture of a plurality of analytes on a tissue optimization array using a tissue optimization array that has been reset using any of the methods described herein. Array-based spatial analysis methods involve the use of a spatial array, where the spatial array includes an array of features on a substrate. In some embodiments, a biological sample (e.g., tissue sample) is contacted with the spatial array, generally allowing the transfer of one or more analytes from the biological sample to the array of features. In some embodiments, before a spatial analysis is performed, a biological sample is first analyzed using a tissue optimization array to determine the amount or presence of captured analyte for any given sample preparation and/or permeabilization condition.
  • In some embodiments, after contacting a biological sample with a substrate that includes an array of features (e.g., including a plurality of capture probes), a removal step can be performed to remove the biological sample from the substrate thereby resetting the array. Typically, array resetting occurs before a capture probe of the plurality of capture probes has been enzymatically extended to include a sequence complementary to all or a part of a sequence of an analyte from the biological sample. In some workflows, reverse transcription is used to enzymatically extend a capture probe of the plurality of capture probes to include a sequence complementary to all or part of a sequence of an analyte from the biological sample. Accordingly, in some embodiments, resetting an array occurs before reverse transcription has occurred on the array. In some embodiments, resetting an array occurs before an extension reaction (e.g., an enzymatic extension reaction) has occurred on the array (e.g., performed on a capture probe). In some embodiments, the biological sample is not permeabilized before the array is reset.
  • As used herein, “resetting” an array refers to the removal of a first tissue that was positioned on an array. In some embodiments, resetting an array can be followed by repositioning a first tissue on the array. In some embodiments, an array is reset in order to position another biological tissue sample on the array (e.g., a second portion of the same biological sample, or a biological sample from a different source, study, or organism). In some embodiments, an array may be reset once. In some embodiments, an array may be reset twice, three times, four times, or five times. In some embodiments, the array is reset in order to be used again, preferably before reverse transcription is performed on the array. In some embodiments, the array is reset in order to be used again, preferably before an extension reaction (e.g., an enzymatic extension reaction) has occurred on the array (e.g., performed on a capture probe).
  • In some embodiments, a method for resetting an array to which a biological sample has been applied includes treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array.
  • In some embodiments, a method for resetting an array includes (a) applying a biological sample to an array comprising a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, and (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, thereby resetting the array.
  • In some embodiments, a method for resetting an array to which a biological sample has been applied includes (a) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (b) treating the array with a set of biological sample removal conditions, thereby resetting the array.
  • As used herein, identifying that a biological sample has been applied to an array “incorrectly” can include identifying that one or more fiducial markers on the array is obscured by the biological sample, identifying that the biological sample is folded, identifying that the biological sample is torn or damaged, identifying that the biological sample was applied to the wrong array section, identifying that the biological sample overlaps with a second biological sample, or a combination thereof.
  • In some embodiments, identifying that the biological sample does not contain the region of interest includes imaging the biological sample after staining and/or immunofluorescence. In some cases, an image produced by imaging the biological sample demonstrates an incorrect application of a stain and/or an immunofluorescence antibody. In some cases, an image produced by imaging the biological sample demonstrates nonspecific staining of the biological sample.
  • In some embodiments, a method for resetting an array includes (a) applying a biological sample to an array including a plurality of capture probes, wherein a capture probe of the plurality of capture probes includes a capture domain that binds specifically to an analyte from the biological sample, (b) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest, and (c) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, thereby resetting the array.
  • In some embodiments of any of the methods described herein, resetting an array is performed before one or more potentially irreversible alterations to the array. In some embodiments, resetting an array occurs before reverse transcription has occurred on the array. In some embodiments, resetting an array occurs before an enzymatic extension reaction has occurred on the array (e.g., performed on a capture probe). In some embodiments, resetting an array occurs before an extension reaction has occurred on the array (e.g., performed on a capture probe).
  • In some embodiments, a biological sample is removed from an array to reset the array. In some embodiments, a method of removing a biological sample from an array comprises treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array.
  • In some embodiments, resetting an array is performed before the biological sample is imaged; however, it may be easier for a user to identify that the biological sample was incorrectly placed or does not contain a region of interest with a visual aid. For example, it may be easier to identify that the biological sample obscures one or more fiducial markers on the array, or that the biological sample has been folded or torn using a visual aid. As another example, it may be easier to identify that the biological sample does not contain a region of interest after immunofluorescence. Accordingly, in some embodiments, resetting an array is performed after the biological sample is fixed and stained. In some embodiments, resetting an array is performed after the biological sample is fixed. In some embodiments, the biological sample can be fixed in any of the variety of fixatives described in, for example, in Section (I)(d)(ii)(3)-(6) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663. In some embodiments, the biological sample is stained. In some embodiments, the biological sample can be stained using known staining techniques, including but not limited to, Can-Grunwald, Giemsa, hematoxylin and eosin (H&E), Jenner's, Leishman, Masson's trichrome, Papanicolaou, Romanowsky, silver, Sudan, Wright's, and/or Periodic Acid Schiff (PAS) staining techniques. See, for example, Sections (I)(d)(ii)(3)-(6) of WO 2020/176788 and/or U.S. Patent Application Publication No. 2020/0277663 for fixing and staining techniques. In some embodiments, resetting an array is performed after the biological sample is evaluated using immunofluorescence. As such, resetting an array can be performed after fixing, immunofluorescence, staining, and/or imaging but prior to performing analyte capture and downstream enzymatic reactions on the captured analyte, for example reverse transcription of a captured mRNA molecule. Once analytes from a biological sample have been captured and extended on the array, the spatial barcodes are associated with the spatial location of the captured analyte in the biological sample. However, staining and/or fixing of a biological sample leaves the spatial barcodes intact thereby allowing for array resetting.
  • Treating an array (e.g., spatial array or tissue optimization array) to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with any appropriate reagents, temperatures, or other conditions. Typically, treating an array with a set of biological sample removal conditions includes treating the array with a base. In some embodiments, for example, treating the array with a base is the first part of the set of biological sample removal conditions. In some embodiments, the biological sample on the array is first treated enzymatically and/or chemically to degrade the biological sample prior to treating the array with a base.
  • In some embodiments, treating an array (e.g., spatial array or tissue optimization array) to which a biological sample has been applied with a set of biological sample removal conditions can include treating enzymatically and/or chemically to degrade the biological sample. For example, treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with an enzyme (e.g., a proteinase, e.g., proteinase K) to remove at least a portion of the biological sample from the array (e.g., on a glass slide). In some embodiments, treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include ablation of the biological sample (e.g., laser ablation). In some embodiments, treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with a proteinase. In some embodiments, the proteinase is proteinase K. Treating with a proteinase can include any appropriate conditions, e.g., to allow the proteinase to function. In some embodiments, treating with a proteinase can include treating with a buffer (e.g., Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof) at an appropriate pH (e.g., about pH 8.0 to about 10.0 (e.g., pH about 8.5 to about 9.5, about 8.8 to about 9.2, or about 9.0)) and appropriate concentration (e.g., about 1 mM to about 20 mM (e.g., about 5 mM to about 15 mM, about 8 mM to about 12 mM, or about 10 mM)), optionally with one or more additional reagents, such as a surfactant (e.g., sodium dodecyl sulfate) at any appropriate concentration (e.g., about 5% to about 15% w/v (e.g., about 8% to about 12% w/v, or about 10% w/v)).
  • In some embodiments, the array (e.g., spatial array or tissue optimization array) is treated with the proteinease (e.g., proteinase K) for between 10 minutes and 120 minutes (e.g., between 10 minutes and 100 minutes, between 10 minutes and 90 minutes, between 10 minutes and 80 minutes, between 10 minutes and 70 minutes, between 10 minutes and 60 minutes, between 10 minutes and 45 minutes, between 10 minutes and 30 minutes, between 30 minutes and 120 minutes, between 30 minutes and 100 minutes, between 30 minutes and 90 minutes, between 30 minutes and 80 minutes, between 30 minutes and 70 minutes, between 30 minutes and 60 minutes, between 30 minutes and 45 minutes, between 45 minutes and 120 minutes, between 45 minutes and 100 minutes, between 45 minutes and 90 minutes, between 45 minutes and 80 minutes, between 45 minutes and 70 minutes, between 45 minutes and 60 minutes, between 60 minutes and 120 minutes, between 60 minutes and 100 minutes, between 60 minutes and 90 minutes, between 60 minutes and 80 minutes, between 60 minutes and 70 minutes, between 70 minutes and 120 minutes, between 70 minutes and 100 minutes, between 70 minutes and 90 minutes, between 70 minutes and 80 minutes, between 80 minutes and 120 minutes, between 80 minutes and 100 minutes, between 80 minutes and 90 minutes, between 90 minutes and 120 minutes, between 90 minutes and 100 minutes, or between 100 minutes and 120 minutes). In some embodiments, the array is treated with proteinase K for approximately 60 minutes.
  • In some embodiments, the array (e.g., spatial array or tissue optimization array) is incubated during the treatment with a proteinase at a temperature between 40 degrees and 60 degrees (e.g., between 40 degrees and 58 degrees, between 40 degrees and 56 degrees, between 40 degrees and 54 degrees, between 40 degrees and 52 degrees, between 40 degrees and 50 degrees, between 40 degrees and 48 degrees, between 40 degrees and 46 degrees, between 40 degrees and 44 degrees, between 40 degrees and 42 degrees, between 42 degrees and 60 degrees, between 42 degrees and 58 degrees, between 42 degrees and 56 degrees, between 42 degrees and 54 degrees, between 42 degrees and 52 degrees, between 42 degrees and 50 degrees, between 42 degrees and 48 degrees, between 42 degrees and 46 degrees, between 42 degrees and 44 degrees, between 44 degrees and 60 degrees, between 44 degrees and 58 degrees, between 44 degrees and 56 degrees, between 44 degrees and 54 degrees, between 44 degrees and 52 degrees, between 44 degrees and 50 degrees, between 44 degrees and 48 degrees, between 44 degrees and 46 degrees, between 46 degrees and 60 degrees, between 46 degrees and 58 degrees, between 46 degrees and 56 degrees, between 46 degrees and 54 degrees, between 46 degrees and 52 degrees, between 46 degrees and 50 degrees, between 46 degrees and 48 degrees, between 48 degrees and 60 degrees, between 48 degrees and 58 degrees, between 48 degrees and 56 degrees, between 48 degrees and 54 degrees, between 48 degrees and 52 degrees, between 48 degrees and 50 degrees, between 50 degrees and 60 degrees, between 50 degrees and 58 degrees, between 50 degrees and 56 degrees, between 50 degrees and 54 degrees, between 50 degrees and 52 degrees, between 52 degrees and 60 degrees, between 52 degrees and 58 degrees, between 52 degrees and 56 degrees, between 52 degrees and 54 degrees, between 54 degrees and 60 degrees, between 54 degrees and 58 degrees, between 54 degrees and 56 degrees, between 56 degrees and 60 degrees, between 56 degrees and 58 degrees, or between 58 degrees and 60 degrees) Celsius. In some embodiments, the array is incubated during the application of a proteinase at a temperature of approximately 50 degrees Celsius.
  • In some embodiments, treating an array (e.g., spatial array or tissue optimization array) to which a biological sample has been applied with a set of biological sample removal conditions can include treating the array with a base (e.g., soaking the array in a base). In some embodiments, the base can be sodium hydroxide (NaOH), potassium hydroxide (KOH), or a combination thereof. Additional suitable bases that can be used in the methods described herein are known in the art. In some embodiments, the array is treated with the base for between 1 minute and 20 minutes (e.g., between 1 minute and 18 minutes, between 1 minute and 16 minutes, between 1 minute and 14 minutes, between 1 minute and 12 minutes, between 1 minute and 10 minutes, between 1 minute and 8 minutes, between 1 minute and 6 minutes, between 1 minute and 4 minutes, between 1 minute and 2 minutes, between 2 minutes and 20 minutes, between 2 minutes and 18 minutes, between 2 minutes and 16 minutes, between 2 minutes and 14 minutes, between 2 minutes and 12 minutes, between 2 minutes and 10 minutes, between 2 minutes and 8 minutes, between 2 minutes and 6 minutes, between 2 minutes and 4 minutes, between 4 minutes and 20 minutes, between 4 minutes and 18 minutes, between 4 minutes and 16 minutes, between 4 minutes and 14 minutes, between 4 minutes and 12 minutes, between 4 minutes and 10 minutes, between 4 minutes and 8 minutes, between 4 minutes and 6 minutes, between 6 minutes and 20 minutes, between 6 minutes and 18 minutes, between 6 minutes and 16 minutes, between 6 minutes and 14 minutes, between 6 minutes and 12 minutes, between 6 minutes and 10 minutes, between 6 minutes and 8 minutes, between 8 minutes and 20 minutes, between 8 minutes and 18 minutes, between 8 minutes and 16 minutes, between 8 minutes and 14 minutes, between 8 minutes and 12 minutes, between 8 minutes and 10 minutes, between 10 minutes and 20 minutes, between 10 minutes and 18 minutes, between 10 minutes and 16 minutes, between 10 minutes and 14 minutes, between 10 minutes and 12 minutes, between 12 minutes and 20 minutes, between 12 minutes and 18 minutes, between 12 minutes and 16 minutes, between 12 minutes and 14 minutes, between 14 minutes and 20 minutes, between 14 minutes and 18 minutes, between 14 minutes and 16 minutes, between 16 minutes and 20 minutes, between 16 minutes and 18 minutes, or between 18 minutes and 20 minutes). In some embodiments, the array is treated with the base for approximately 5 minutes. In some embodiments, the array is treated with the base for approximately 10 minutes.
  • In some embodiments, the array (e.g., spatial array or tissue optimization array) is treated with the base at a concentration of approximately 0.08 M. In some embodiments, the array is treated with the base (e.g., potassium hydroxide) at a concentration of about 0.01 M to 0.2 M, including, but not limited to, about 0.01 M, about 0.02 M, about 0.03 M, 0.04 M, about 0.05 M, about 0.06 M, about 0.07 M, about 0.08 M, about 0.09 M, about 0.10 M, about 0.11 M, about 0.12 M, about 0.13 M, about 0.14 M, about 0.15 M, about 0.16 M, about 0.17 M, about 0.18 M, about 0.19 M, or about 0.20 M, or any ranges included therein. In some embodiments, the biological sample is completely removed from the array after the array is treated with the base. In some embodiments, removing the biological sample from the array further comprises rinsing and drying the array. In some embodiments, the array is treated for a second time with base, using any of the times or concentrations of base described herein. In some cases, treating the array with the base can remove or help to remove any nucleic acid (e.g., RNA) hybridized to a capture probe on the array.
  • In some embodiments, treating an array (e.g., spatial array or tissue optimization array) to which a biological sample has been applied with a set of biological sample removal conditions can include washing the array with water (e.g., nuclease-free water and/or ultrapure water), washing the array with a buffer, and drying, or a combination thereof. A buffer can be any appropriate buffer, for example Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), at any appropriate pH (e.g., about 6.0 to about 8.0 (e.g., about 6.5 to about 7.5, about 6.8 to about 7.2, or about 7.0)) and any appropriate concentration (e.g., about 1 mM to about 20 mM (e.g., about 5 mM to about 15 mM, about 8 mM to about 12 mM, or about 10 mM)). Washing the array (e.g., with water or buffer) can include repeatedly washing the array (e.g., 10, 15, 20, or more times). In some embodiments, drying can include centrifugation and/or air drying. For example, in some embodiments, treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include, sequentially, treating the array with a base (e.g., 0.08 M KOH for 10 minutes), optionally treating with a base for a second time (e.g., 0.08 M KOH for 5 minutes), washing with buffer (e.g., 10 mM Tris, pH 7.0, 15 times), washing with water (e.g, nuclease-free water and/or ultrapure water, 20 times), and optionally drying (e.g., via centrifugation or air drying). For example, in some embodiments, treating an array to which a biological sample has been applied with a set of biological sample removal conditions can include, sequentially, treating the array with a proteinase (e.g., at 3.3 mg/mL in 10 mM Tris, pH 9 and 10% sodium dodecyl sulfate) treating the array with a base (e.g., 0.08 M KOH for 10 minutes), optionally treating with a base for a second time (e.g., 0.08 M KOH for 5 minutes), washing with buffer (e.g., 10 mM Tris, pH 7.0, 15 times), washing with water (e.g, nuclease-free water and/or ultrapure water, 20 times), and optionally drying (e.g., via centrifugation or air drying).
  • A reset array (e.g., spatial array or tissue optimization array) can be stored at room temperature or 4° C. in a sealed container or a dessicator for up to 7 days before placing a new biological sample on the array.
  • Also provided herein are methods for using of an array (e.g., spatial array or tissue optimization array) reset using any of the methods described herein. In some embodiments, methods for using an array include resetting an array using any of the methods described herein, contacting the array with a biological sample (e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism), and capturing an analyte from the biological sample on the array.
  • Also provided herein are methods for performing a spatial analysis using a spatial array reset using any of the methods described herein. In some embodiments, methods for performing a spatial analysis include resetting a spatial array using any of the methods described herein, contacting the spatial array with a biological sample (e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism), and capturing an analyte from the biological sample on the spatial array. In some embodiments, the methods can further include determining (i) all or a portion of a sequence corresponding to the spatial barcode, or a complement thereof, and (ii) all or a portion of a sequence corresponding to the analyte, or a complement thereof.
  • Also provided herein are methods for analyzing analyte capture using a tissue optimization array reset using any of the methods described herein. In some embodiments, methods for analyzing analyte capture include resetting a tissue optimization array using any of the methods described herein, contacting the tissue optimization array with a biological sample (e.g., a second portion of a biological sample or a biological sample from a different source, study, or organism), capturing a plurality of analytes from the biological sample on the tissue optimization array, and analyzing the amount, distribution, diffusion, or a combination thereof, of the analytes.
  • Exemplary Embodiments
  • Embodiment 1 is a method for resetting an array, the method comprising:
  • (a) applying a biological sample to an array, wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds specifically to an analyte from the biological sample;
  • (b) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest; and
  • (c) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, thereby resetting the array.
  • Embodiment 2 is a method for resetting an array to which a biological sample has been applied, the method comprising:
  • (a) identifying that the biological sample has been applied to the array incorrectly or does not contain a region of interest; and
  • (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array,
  • wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • Embodiment 3 is the method of embodiment 1 or embodiment 2, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that one or more fiducial markers on the array is obscured by the biological sample.
  • Embodiment 4 is the method of any one of embodiments 1-3, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample is folded.
  • Embodiment 5 is the method of any one of embodiments 1-4, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample is torn or damaged.
  • Embodiment 6 is the method of any one of embodiments 1-5, wherein identifying that the biological sample has been applied to the array incorrectly comprises identifying that the biological sample overlaps with a second biological sample.
  • Embodiment 7 is the method of any one of embodiments 1-6, wherein identifying that the biological sample does not contain the region of interest comprises imaging the biological sample after staining and/or immunofluorescence.
  • Embodiment 8 is the method of embodiment 7, wherein an image produced by imaging the biological sample demonstrates an incorrect application of a stain and/or an immunofluorescence antibody.
  • Embodiment 9 is the method of embodiment 7 or embodiment 8, wherein an image produced by imaging the biological sample demonstrates nonspecific staining of the biological sample.
  • Embodiment 10 is a method for resetting an array to which a biological sample has been applied, the method comprising:
  • treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array,
  • wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds specifically to an analyte from the biological sample, thereby resetting the array.
  • Embodiment 11 is a method for resetting an array, the method comprising:
  • (a) applying a biological sample to an array wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds specifically to an analyte from the biological sample; and
  • (b) treating the array with a set of biological sample removal conditions, such that the biological sample is substantially removed from the array, thereby resetting the array.
  • Embodiment 12 is the method of any one of embodiments 1-11, wherein the array is a tissue optimization array or a spatial array.
  • Embodiment 13 is the method of any one of embodiments 1-12, wherein prior to treating the array with the set of biological sample removal conditions, no reverse transcription has been performed on the array.
  • Embodiment 14 is the method of any one of embodiments 1-12, wherein prior to treating the array with the set of biological sample removal conditions, no enzymatic extension reaction has been performed on the capture probe.
  • Embodiment 15 is the method of embodiment 14, wherein no extension reaction has been performed on the capture probe.
  • Embodiment 16 is the method of any one of embodiments 1-15, wherein treating the array with the set of biological sample removal conditions comprises treating the array with a base.
  • Embodiment 17 is the method of embodiment 16, wherein the base comprises a base selected from the group consisting of potassium hydroxide, sodium hydroxide, and combinations thereof.
  • Embodiment 18 is the method of embodiment 16 or 17, wherein treating with the base comprises treating the array with about 40 mM to about 120 mM of the base.
  • Embodiment 19 is the method of any one of embodiments 16-18, wherein treating the array with the base comprises treating the array with about 75 mM to about 85 mM of the base.
  • Embodiment 20 is the method of any one of embodiments 16-19, wherein treating the array with the base comprises treating the array with the base for between about 1 minute and about 20 minutes.
  • Embodiment 21 is the method of any one of embodiments 16-20, wherein treating the array with the base comprises treating the array with the base for about 8 minutes to about 12 minutes.
  • Embodiment 22 is the method of any one of embodiments 16-21, wherein treating the array with a base comprises treating the array with a base for one, two, three, four or five times.
  • Embodiment 23 is the method of any one of embodiments 16-22, wherein treating the array with the set of biological sample removal conditions further comprises washing the array one or more times.
  • Embodiment 24 is the method of embodiment 23, wherein the washing comprises water that is nuclease-free water and/or ultrapure water.
  • Embodiment 25 is the method of any one of embodiments 16-24, wherein treating the array with the set of biological sample removal conditions further comprises washing the array with a buffer one or more times.
  • Embodiment 26 is the method of embodiment 25, wherein the buffer is selected from the group consisting of Tris, phosphate buffered saline (PBS), HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid), TES (2-[(2-Hydroxy-1,1-bis(hydroxymethyl)ethyl)amino]ethanesulfonic acid), and combinations thereof.
  • Embodiment 27 is the method of embodiment 25 or 26, wherein the buffer has a concentration of about 1 mM to about 20 mM.
  • Embodiment 28 is the method of any one of embodiments 25-27, wherein the buffer has a concentration of about 8 mM to about 12 mM.
  • Embodiment 29 is the method of any one of embodiments 25-28, wherein the buffer has a pH of about 6.0 to about 8.0.
  • Embodiment 30 is the method of any one of embodiments 25-29, wherein the buffer has a pH of about 6.5 to about 7.5.
  • Embodiment 31 is the method of any one of embodiments 25-30, wherein the buffer has a pH of about 6.8 to about 7.2.
  • Embodiment 32 is the method of any one of embodiments 16-31, wherein treating the array with the set of biological sample removal conditions further comprises drying the array.
  • Embodiment 33 is the method of any one of embodiments 1-32, wherein, before treating the array with the set of biological sample removal conditions, the biological sample is not permeabilized.
  • Embodiment 34 is the method of embodiment 33, wherein treating the array with the set of biological sample removal conditions comprises, sequentially, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying the array.
  • Embodiment 35 is the method of any one of embodiments 16-34, wherein treating the array with the set of biological sample removal conditions further comprises treating the array with a proteinase.
  • Embodiment 36 is the method of embodiment 35, wherein treating the array with the proteinase precedes treating with the base.
  • Embodiment 37 is the method of embodiment 35 or 36, wherein the proteinase is proteinase K.
  • Embodiment 38 is the method of any one of embodiments 35-37, wherein treating the array with the proteinase is for between 10 minutes and 2 hours.
  • Embodiment 39 is the method of any one of embodiments 35-38, wherein treating the array with the proteinase is for between 30 minutes and 90 minutes.
  • Embodiment 40 is the method of any one of embodiments 35-38, wherein treating the array with the proteinase is for about 55 minutes to about 65 minutes.
  • Embodiment 41 is the method of any one of embodiments 35-40, wherein during treatment of the array with the proteinase, the biological sample is incubated at between 40 degrees and 60 degrees Celsius.
  • Embodiment 42 is the method of any one of embodiments 35-40, wherein during treatment of the array with proteinase, the biological sample is incubated at between 45 degrees to about 55 degrees Celsius.
  • Embodiment 43 is the method of any one of embodiments 35-42, wherein treating the array with the proteinase further comprises treating the array with a surfactant and a proteinase buffer.
  • Embodiment 44 is the method of embodiment 43, wherein the surfactant is sodium dodecyl sulfate.
  • Embodiment 45 is the method of embodiment 43 or 44, wherein the surfactant is present in an amount of about 5% w/v to about 20% w/v.
  • Embodiment 46 is the method of embodiment 43 or 44, wherein the surfactant is present in an amount of about 8% w/v to about 10% w/v.
  • Embodiment 47 is the method of any one of embodiments 43-46, wherein the proteinase buffer is Tris.
  • Embodiment 48 is the method of any one of embodiments 43-47, wherein the proteinase buffer has a concentration of about 1 mM to about 20 mM.
  • Embodiment 49 is the method of any one of embodiments 43-48, wherein the proteinase buffer has a concentration of about 8 mM to about 12 mM.
  • Embodiment 50 is the method of any one of embodiments 43-49, wherein the proteinase buffer has a pH of about 8.0 to about 10.0.
  • Embodiment 51 is the method of any one of embodiments 43-49, wherein the proteinase buffer has a pH of about 8.5 to about 9.5.
  • Embodiment 52 is the method of any one of embodiments 43-49, wherein the proteinase buffer has a pH of about 8.8 to about 9.2.
  • Embodiment 53 is the method of any one of embodiments 43-52, wherein treating the array with the set of biological sample removal conditions comprises, treating the array with the proteinease, washing the array with water, treating the array with the base, washing the array with the buffer, washing the array with water, and optionally drying.
  • Embodiment 54 is the method of any one of embodiments 1-53, wherein the array comprises a slide.
  • Embodiment 55 is the method of embodiment 54, wherein the slide is a glass slide.
  • Embodiment 56 is the method of any one of embodiments 1-55, wherein the biological sample is an animal sample.
  • Embodiment 57 is the method of any one of embodiments 1-55, wherein the biological sample is a human sample.
  • Embodiment 58 is the method of any one of embodiments 1-55, wherein the biological sample is a rodent sample.
  • Embodiment 59 is the method of any one of embodiments 1-58, wherein the biological sample is a breast, brain, heart, small intestine, eye, testes, or kidney sample.
  • Embodiment 60 is the method of any one of embodiments 1-59, wherein the biological sample is a cancerous sample or a sample suspected of having cancerous cells.
  • Embodiment 61 is the method of any one of embodiments 1-60, wherein the biological sample is a tissue section.
  • Embodiment 62 is the method of embodiment 61, wherein the tissue section is a fresh frozen tissue section.
  • Embodiment 63 is the method of any one of embodiments 1-62, wherein the biological sample is fixed.
  • Embodiment 64 is the method of any one of embodiments 1-63, wherein the biological sample is formalin-fixed.
  • Embodiment 65 is the method of any one of embodiments 1-63, wherein the biological sample is fixed using methanol.
  • Embodiment 66 is the method of any one of embodiments 1-63, wherein the biological sample is fixed using acetone.
  • Embodiment 67 is the method of any one of embodiments 1-66, wherein the biological sample is stained.
  • Embodiment 68 is the method of embodiment 67, wherein the stain is a histological stain.
  • Embodiment 69 is the method of embodiment 68, wherein the histological stain is a hematoxylin and eosin stain.
  • Embodiment 70 is the method of any one of embodiments 1-69, wherein the biological sample is imaged using immunofluorescence.
  • Embodiment 71 is a method for capturing an analyte using an array, the method comprising:
  • (a) resetting an array according to any one of embodiments 1-70, wherein the array is a spatial array and the capture probe further comprises a spatial barcode;
  • (b) contacting the spatial array with a biological sample; and
  • (c) capturing an analyte from the biological sample on the spatial array.
  • Embodiment 72 is the method of embodiment 71, wherein the analyte comprises RNA, DNA, a protein, a small molecule, or a metabolite.
  • Embodiment 73 is the method of embodiment 71 or 72, further comprising determining (i) all or a portion of a sequence corresponding to the spatial barcode, or a complement thereof, and (ii) all or a portion of a sequence corresponding to the analyte, or a complement thereof.
  • Embodiment 74 is a method for analyzing capture of a plurality of analytes on a tissue optimization array, the method comprising:
  • (a) resetting a tissue optimization array according to any one of embodiments 1-70;
  • (b) contacting the tissue optimization array with a biological sample;
  • (c) capturing a plurality of analytes from the biological sample on the tissue optimization array; and
  • (d) analyzing the amount, distribution, and/or diffusion of the plurality of analytes based on the analytes from the biological sample captured on the tissue optimization array.
  • Embodiment 75 is the method of embodiment 74, wherein the plurality of analytes comprises RNA, DNA, a protein, a small molecule, a metabolite, or a combination thereof.
  • EXAMPLES Example 1—Methods for Removing a Tissue Sample from an Array
  • In a non-limiting example, an array is reset by removing tissue that had been placed the array (FIG. 1 ), using a variety of reagents and consumables. For examples, tissues that were folded when positioned on the array, tissues that covered fiducial markings, tissues that were torn or otherwise compromised and tissues that were not placed in the correct designated area. The reagents and consumables can include proteinase K, Tris buffer, 20% SDS, potassium hydroxide, and a water bath or heat block that can heat up to 50 degrees Celsius. For example, a method for resetting an array can include: (a) soaking a fixed and stained tissue slice on an array for 1 hour in 30 mL of proteinase K buffer (10 mM Tris, pH 9, 10% SDS, 3.3 mg/mL ProK) at 50° C.; (b) removing the array from the proteinase K buffer and rinsing in nuclease-free water; (c) soaking the array for 10 minutes in 30 mL of 0.08M potassium hydroxide; (d) removing the array and rinsing in 10 mM Tris, pH 7.0; (e) rinsing the array in nuclease-free water; and (f) spinning down or air drying. See, e.g., FIG. 2A for an exemplary workflow.
  • While tissue removal incubation step (a) may not remove tissue completely and trace amounts of tissue may still remain on the array (FIG. 2B, left), in such instances soaking the array in a basic solution such as 0.08M potassium hydroxide has been shown to remove any remaining tissue (FIG. 2B, right).
  • Example 2—Methods for Removing a Tissue Sample from an Array
  • Arrays on a slide are reset prior to tissue permeabilization. When immersing a slide in a solution, the slide is typically completely immersed for about 3 seconds.
  • Reagent volumes described in this Example can accommodate up to two slides. If resetting two slides, slides are placed back to back so that tissue sections are facing outwards.
  • A water bath or heat block is preheated to 50° C. to warm 30 mL proteinase K buffer (1 mM Tris, pH 9; 10% SDS, 3.3 mg/mL proteinease K). An array including a tissue sample on a slide is transferred to a 50 mL centrifuge tube containing the warmed proteinase K buffer and incubated for 1 hour at 50° C. The tube is inverted and some tissue may remain on the array. The slide is immersed in ultrapure water. The slide is transferred to a 50-mL centrifuge tube containing 30 mL 0.08M potassium hydroxide (KOH) and incubated for 10 minutes at room temperature. The tube is inverted. The slide is transferred to a new 50 mL centrifuge tube containing 30 mL 0.08 M KOH and incubated at room temperature for 5 minutes. The slide is transferred to a 50 mL centrifuge tube containing 10 mM Tris, pH 7 and inverted slowly. The slide is immersed in fresh ultrapure water. Excess water is removed using a laboratory wipe on the back of the slide, without touching the active surface of the slide. The slide is dried, optionally for 30 seconds in a slide spinner, or in a 50 mL centrifuge tube centrifuged at 250 relative centrifugal force (rcf) for 30 seconds in a swinging bucket rotor.
  • The slide, and each array within the slide, is examined for any remaining tissue. If tissue remains, the reset protocol above is repeated.
  • A slide where tissue is removed, thus resetting the slide, can be stored in a sealed container or dessicator at room temperature or at 4° C. for up to 7 days before placing a new tissue section on one or more of the active arrays on the slide.
  • Example 3—Resetting an Array with a Different Tissue Sample
  • In a non-limiting example, a tissue sample is removed from an array as described above in Example 1. For this example, the array was originally in contact with mouse brain tissue, wherein the mouse brain tissue was removed, thereby resetting the array and replaced with a section of a human ovarian tumor tissue (FIG. 3 ).
  • The mouse brain tissue, which was first stained and imaged (FIG. 3 , left panel) and was removed from the array by (a) soaking the fixed and stained tissue slice on the array for 1 hour in 30 mL of proteinase K buffer (10 mM Tris, pH9, 10% SDS, 3.3 mg/mL ProK) at 50° C.; (b) removing the array and rinsing 15 times in nuclease-free water; (c) soaking the array for 10 minutes in 30 mL of 0.08M potassium hydroxide; (d) removing the array and rinsing 15 times in 10 mM Tris, pH 7.0; (e) rinsing the array 20 times in nuclease-free water; and (f) spinning down or air drying the array. A tissue section from a human ovarian tumor was then placed on the same array, stained and imaged (FIG. 3 , right panel).
  • FIG. 4 shows exemplary images of replicate experiments where spatial analysis was performed and analyte gene expression information was obtained. FIG. 4 top row shows four replicates of an array with stained and imaged mouse brain tissue samples. The middle row shows exemplary imaging results after resetting the arrays from the top row by removing the mouse tissues as previously described and replacing the mouse tissue sections with sectioned ovarian tumor tissue followed by spatial analyte analysis of the ovarian tumor tissue samples. The bottom row shows positive control imaging results after performing spatial analyte analysis on ovarian tumor tissue samples that were not reset (i.e., the spatial arrays were new and had not been contacted with tissue prior to the application of the ovarian tumor tissue sections). The reset arrays demonstrate similar spatial analyte data (gene expression intensity) as the control arrays thereby demonstrating negligible or no visible contamination or analyte carry over from the original mouse brain tissue samples to the human ovarian tumor sections on the reset arrays.
  • FIG. 5A-D show exemplary data analysis and Dunnett's control data demonstrating no significant difference between human ovarian tumor control spatial array analyte determination and that of the reset array data with regards to the A) reads mapped to the human ovarian tumor transcriptome, B) the fraction of usable reads, C) the median of genes per array spot and D) median UMI count per array spot. While there was a slight decrease seen in the median genes and UMIs per spot from the reset arrays vs control arrays (FIGS. 5C and 5D) it was not significant.
  • The reset array was also compared to a control array for the potential contamination of the HPCA gene. The hippocalcin gene, or HPCA, is highly expressed in the hippocampus region of mouse brain but not in human ovarian tumors. The results shown in FIG. 6A identify the location of the HPCA cluster in mouse brain, HPCA gene expression is not seen in the reset array FIG. 6B (left panel) nor in the control (non-reset) array (right panel). As such, there was no detectable contamination noted on the reset array.
  • Example 4—Effect of the Reset Protocol on Capture Probes on an Array
  • In a non-limiting example, experiments were performed to analyze the hybridization of a fluorescently labeled oligonucleotide to the capture probes on three different arrays: (1) an array slide that had fixed and stained tissue on it and was reset, (2) an array that had been processed through the entire spatial analyte localization workflow as described herein, and (3) a new array. An image of the tissue on the control array (which was reset for array (1)) is seen in FIG. 7A.
  • Briefly, the array having fixed and stained tissue was exposed to the previously described reset protocol, and oligonucleotides containing partial Read 1 sequences complexed with Cy3 fluorescent moieties were hybridized to the array. The fluorescently labeled oligonucleotides were also hybridized to the array that had been processed through the entire spatial analyte detection workflow (lacking tissue), as well as a new array.
  • Fluorescent imaging results from the reset array (FIG. 7B) which was processed using the reset protocol, and a new array (FIG. 7D), hybridized to Cy3 labelled-partial Read 1 oligonucleotides applied to the arrays, rinsed, and imaged demonstrates that the partial Read 1 portion of the oligonucleotide hybridized to its complementary region on the capture probe on the array. Imaging the three arrays for 200 miliseconds (ms) show that overall fluorescence from the locations of the capture probes are comparable between the reset array and new array. Both the reset array and the new array demonstrate a similar level of fluorescence (ability to bind the Cy3-partial Read 1) as compared to the array that was processed according to the spatial workflows described herein (FIG. 7C). The negative fluorescence of the spatial workflow slide provides evidence that once the spatial workflow involving enzymatic actions such as, for example, reverse transcription of mRNA analytes, slide reset is not possible using the tissue removal conditions described in the prior examples.
  • In experiments to demonstrate the affect of the reset methods on probes affixed to the array slide, blocks of OCT medium without tissue were created and slices places on spatial array slides. Some slides were reset (FIG. 7E) and some were not (FIG. 7F, control slides), after which Cy3 labelled-Read 1 oligos were applied to the arrays and binding of the labelled oligos to the probes on the arrays were measured via fluorescence. FIG. 7G demonstrates that the fluorescence intensity of the reset versus the control new (non-reset) slides was comparable, as such the oligos on the array slides were not adversely affected by the reset protocol.
  • Example 5—Fixation Analysis
  • Reset arrays can be used with both fixed and stained tissue as well as fresh frozen cryostat tissue sections. Breast cancer tissue was originally applied to a spatial array (exemplary tissue shown in FIG. 9A). The array was reset, and coronal mouse brain sections, either fixed and stained or fresh frozen sections, were applied to the reset arrays (FIG. 8 ). The reset array on the left of FIG. 8 shows exemplary imaging results after performing spatial analysis on a cryosectioned tissue that had not been fixed or stained but was reset and mouse brain reapplied to the reset slide. The reset array in the middle image of FIG. 8 shows exemplary imaging results after performing spatial analysis on a fixed and stained mouse brain section after resetting the array. The control array on the right of FIG. 8 shows exemplary imaging results after performing spatial analysis of a brain section on a slide that has not been reset. The UMI counts for tissue sections on the reset arrays are similar to the control section on the new array.
  • MUCL1 is a gene highly expressed in human breast cancer tissue (exemplary expression shown in FIG. 9A). The biological sample removal conditions reduced MUCL1 gene expression when 1 KOH wash was used to reset the slide following removal of the original breast cancer tissue (FIG. 9B), and no MUCL1 expression was observed when 2 KOH washes were used to reset the slide following removal of the original breast cancer tissue (FIG. 9C).
  • Similarly, when a mouse brain tissue section was applied to a spatial array, the array was reset, and human breast cancer or human heart tissue sections (either fixed and stained or fresh frozen tissue samples), were applied to the reset arrays. Various sequencing metrics were analyzed. FIGS. 10A-D show box plots of control mouse brain data compared to the reset arrays having human breast cancer or human heart tissue sections on the arrays, with regard to A) library quality, B) fraction reads with primer, homopolymer, or switch oligo sequence, C) fraction reads with ribosomal or mitochondrial UMI counts, and D) sensitivity. In FIG. 10A, the mapping was very consistent between the control and reset slides. In FIGS. 10B-C, the fraction reads with primer or homopolymer sequence, or any TSO oligo sequence, as well as the fraction ribosomal protein UMI counts and fraction mitochondrial UMI counts were consistent between reset and control slides. In FIG. 10D, there was no significant difference in median genes in the reset arrays (either fixed and stained or not) and the control arrays, though there was a slight drop in median UMIs for reset slides (about 18% and about 13% for fixed and stained and non-fixed and stained, respectively). The fixed and stained tissue sections and the fresh frozen tissue sections performed about equally on reset arrays. In FIG. 10E, overlaid UMAP plots are shown for mouse brain sections analyzed on a new non-reset array and reset arrays (either fixed and stained or not). In FIG. 10F, analysis of HPCA is shown for mouse brain sections on a new non-reset array and reset arrays (either fixed and stained or not); in the upper figures, H&E staining is shown, with a box around the hippocampal region, and in the lower figures, gene expression analysis is shown, focused on the boxed hippocampal region. The data in FIGS. 10A-F demonstrate that the reset arrays are equally sensitive as a control non-reset array with respect to the fraction of usable reads. There was no significant difference in median genes between reset (pre-fixation or H&E) and control arrays, though there was a slight decrease in median UMIs for the reset arrays.
  • Example 6—Immunofluorescence Analysis
  • Resetting arrays is compatible with use of immunofluorescence, both before reset, and when using a new biological sample on an array. Human breast cancer tissue was initially placed on a spatial array and stained with DAPI, an Alexa 647-conjugated anti-CD3 antibody (Biolegend), and an Alexa 488-conjugated anti-CD8 antibody (Biolegend). The array was reset as described in Example 1, and a mouse brain tissue sample was placed on the reset array. The mouse brain tissue was stained with DAPI, an Alexa 555-conjugated anti-NeuN antibody (Abcam), and a FITC-conjugated anti-GFAP antibody (Abcam). There was no difference observed in immunofluorescence images of the reset array (FIG. 11A, left) and a non-reset array (control) having mouse brain tissue stained the same way (FIG. 11A, right).
  • Transcript capture and sequencing metrics of the reset array were similar to the control array following removal of an IF-stained biological sample. FIG. 11B shows that the UMI count appears similar between reset (top row) and control (bottom row) of replicate samples, with a potentially visible decrease of UMI counts in the reset slides. FIGS. 11C-E show box plots of mouse brain tissue on control slides and mouse brain tissue on slides that previously had IF-stained biological samples on them, were reset, and a mouse brain sample placed on the reset array: C) library quality, D) contamination of primers in the library, and E) sensitivity. In FIG. 11C, the metrics for mapping, usable reads, and fraction of reads per spot were very comparable between the control sample (on a non-reset array) and a sample on a reset array. In FIG. 11D, the metrics for homopolymer or template switching oligonucleotide (TSO) were very comparable between the control sample (on a non-reset array) and a sample on a reset array. In FIG. 11E, no significant difference was observed in median genes between the control sample (on a non-reset array) and a sample on a reset array, though a slight decrease was observed in the number of UMIs detected for the sample on a reset array compared to the control sample (on a non-reset array). In FIG. 11F, overlaid UMAP plots are shown for the reset and non-reset (control) arrays. In FIG. 11G, a scatter plot of gene expression is shown. Both UMAP and scatter plot data demonstrate good correlation between the reset and non-reset (control) arrays. The data in FIGS. 11A-G demonstrate that the reset array provided for similar imaging, library quality and UMI counts as compared to a non-reset array.
  • Example 7—Multiple Resets
  • It was determined through experimentation that arrays could be reset multiple times without compromising the array capture probes. A mouse brain tissue sample was evaluated on arrays that had been reset one, two, or three times as in Example 1 and compared to a mouse brain tissue sample on a non-reset array (control). The first tissue set on the arrays was a human breast cancer tissue. The arrays were reset, and for the twice and three-times reset arrays, a human lung tissue sample was placed on the array. The arrays were reset, for the three-times reset array, a human cerebellum tissue sample was placed on the array. The array was reset. All slides were fixed with methanol and stained with hematoxylin and eosin.
  • Transcript capture and sequencing metrics of the reset arrays were similar to control following multiple resets. FIG. 12A shows that the UMI count appears similar for the control and multiple-reset samples, with a potentially visible decrease of UMI counts in the reset slides. FIGS. 12B-D show plots of mouse brain tissue on control slides and mouse brain tissue on slides that had been reset one, two, or three times: B) library quality, C) contamination of primers in the library, and D) sensitivity. In FIG. 12B, the metrics for mapping, usable reads, and fraction of reads per spot are very comparable between the control sample (on a non-reset array) and samples on reset arrays. In FIG. 12C, the metrics for homopolymer or template switching oligonucleotide (TSO) are very comparable between the control sample (on a non-reset array) and samples on reset arrays. In FIG. 12D, no significant difference was observed in median genes between the control sample (on a non-reset array) and samples on reset arrays, though a slight decrease was observed in the number of UMIs detected for the sample on reset arrays compared to the control sample (on a non-reset array). In sum, FIGS. 12A-D demonstrate that an array can be reset one or more times without substantially impacting library quality, UMI count, and sensitivity.
  • Example 8—Effect of Array Reset on Analyte Capture
  • Resetting arrays can be performed on tissue optimization arrays, for example, for determining conditions for permeabilization and/or analyte capture following removal of a first biological sample. Three tissues were tested for the effect of reset on permeabilization of the second biological sample and/or the capture of transcripts therefrom on non-spatially barcoded (i.e., tissue optimization) arrays: mouse brain, mouse liver, and mouse spleen. In each case, the arrays initially had human lung tumor samples covering the entire capture area of the arrays, and the slides were reset as in Example 1, and the new tissues were placed on the slide, stained with H&E, permeabilized, and the transcripts were captured. Capture was evaluated by fluorescence microscopy of reverse-transcribed cDNA using fluorescent nucleotides.
  • In FIG. 13A, the H&E stained mouse brain samples can be compared to the fluorescence images in FIG. 13B, and the mean fluorescence intensity is shown in FIG. 13C. In FIG. 14A, the H&E stained mouse liver samples can be compared to the fluorescence images in FIG. 14B. In FIG. 15A, the H&E stained mouse spleen samples can be compared to the fluorescence images in FIG. 15B. In each image, the control samples (on non-reset arrays) are shown on the left, while the samples on reset arrays are shown on the right. While some of the reset fluorescence appeared to be less than that of the control (FIG. 14B), or more than the control (FIG. 15B), no specific trend was observed in differences in transcript capture between the control samples and samples on reset arrays for the three tissue types.
  • Example 9—Array Reset with Different Tissue Types
  • Resetting arrays can be performed with multiple tissue types as the initial biological sample. To demonstrate this, different types of fixed and stained mouse or human tissues were originally placed on an array (upper figures in FIGS. 16B-E and 17B-D), and each array was reset according to Example 1. A new tissue sample was placed on each array, and the sample was analyzed using a spatial gene expression analysis (lower figures in FIGS. 16B-E and 17B-D). Control samples can be seen in FIGS. 16A (human heart tissue) and 17A (mouse brain tissue) In FIG. 16A-E, the reset process is shown mouse eye as the original tissue sample (FIG. 16B), mouse small intestine as the original tissue sample (FIG. 16C), mouse testes as the original tissue sample (FIG. 16D), and mouse kidney as the original tissue sample (FIG. 16E), where human heart tissue was used as the tissue on the reset slides. In FIG. 17A-D, the reset process is shown for human breast cancer as the original tissue sample (FIG. 17B), human heart as the original tissue sample (FIG. 17C), and human brain as the original tissue sample (FIG. 17D), where mouse brain tissue was used as the tissue on the reset slides.
  • For those reset slides where mouse tissue was the original tissue, it was determined that the mouse tissues were removed completely or substantially completely wherein the gene expression of the control versus the reset slides was comparable. The same results were seen when the original tissue was of human origin. It was determined that multiple tissue types could be removed, slides reset, and new, different tissues applied to reset slides without compromising gene expression analysis.

Claims (1)

What is claimed is:
1. A method for resetting an array, the method comprising:
(a) applying a tissue section to an array, wherein the array comprises a plurality of capture probes, wherein a capture probe of the plurality of capture probes comprises a capture domain that binds to a nucleic acid from the tissue section; and
(b) treating the array with a set of biological sample removal conditions, such that the tissue section is substantially removed from the array, wherein prior to treating the array with the set of biological sample removal conditions, no enzymatic extension reaction has been performed on the capture probe,
thereby resetting the array.
US18/066,007 2020-05-26 2022-12-14 Method for resetting an array Pending US20230111225A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US18/066,007 US20230111225A1 (en) 2020-05-26 2022-12-14 Method for resetting an array

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202063030190P 2020-05-26 2020-05-26
US202063041481P 2020-06-19 2020-06-19
PCT/US2021/034212 WO2021242834A1 (en) 2020-05-26 2021-05-26 Method for resetting an array
US17/548,047 US11560592B2 (en) 2020-05-26 2021-12-10 Method for resetting an array
US18/066,007 US20230111225A1 (en) 2020-05-26 2022-12-14 Method for resetting an array

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
US17/548,047 Continuation US11560592B2 (en) 2020-05-26 2021-12-10 Method for resetting an array

Publications (1)

Publication Number Publication Date
US20230111225A1 true US20230111225A1 (en) 2023-04-13

Family

ID=76859708

Family Applications (2)

Application Number Title Priority Date Filing Date
US17/548,047 Active US11560592B2 (en) 2020-05-26 2021-12-10 Method for resetting an array
US18/066,007 Pending US20230111225A1 (en) 2020-05-26 2022-12-14 Method for resetting an array

Family Applications Before (1)

Application Number Title Priority Date Filing Date
US17/548,047 Active US11560592B2 (en) 2020-05-26 2021-12-10 Method for resetting an array

Country Status (2)

Country Link
US (2) US11560592B2 (en)
WO (1) WO2021242834A1 (en)

Cited By (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11702698B2 (en) 2019-11-08 2023-07-18 10X Genomics, Inc. Enhancing specificity of analyte binding
US11702693B2 (en) 2020-01-21 2023-07-18 10X Genomics, Inc. Methods for printing cells and generating arrays of barcoded cells
US11732292B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays correlating target nucleic acid to tissue section location
US11732300B2 (en) 2020-02-05 2023-08-22 10X Genomics, Inc. Increasing efficiency of spatial analysis in a biological sample
US11733238B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11732299B2 (en) 2020-01-21 2023-08-22 10X Genomics, Inc. Spatial assays with perturbed cells
US11739381B2 (en) 2021-03-18 2023-08-29 10X Genomics, Inc. Multiplex capture of gene and protein expression from a biological sample
US11739372B2 (en) 2015-04-10 2023-08-29 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US11753675B2 (en) 2019-01-06 2023-09-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11753674B2 (en) 2013-06-25 2023-09-12 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11753673B2 (en) 2021-09-01 2023-09-12 10X Genomics, Inc. Methods, compositions, and kits for blocking a capture probe on a spatial array
US11761038B1 (en) 2020-07-06 2023-09-19 10X Genomics, Inc. Methods for identifying a location of an RNA in a biological sample
US11773433B2 (en) 2020-04-22 2023-10-03 10X Genomics, Inc. Methods for spatial analysis using targeted RNA depletion
US11781130B2 (en) 2020-06-08 2023-10-10 10X Genomics, Inc. Methods of determining a surgical margin and methods of use thereof
US11788122B2 (en) 2011-04-13 2023-10-17 10X Genomics Sweden Ab Methods of detecting analytes
US11795507B2 (en) 2019-12-23 2023-10-24 10X Genomics, Inc. Methods for spatial analysis using RNA-templated ligation
US11808769B2 (en) 2019-11-08 2023-11-07 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
US11821035B1 (en) 2020-01-29 2023-11-21 10X Genomics, Inc. Compositions and methods of making gene expression libraries
US11827935B1 (en) 2020-11-19 2023-11-28 10X Genomics, Inc. Methods for spatial analysis using rolling circle amplification and detection probes
US11835462B2 (en) 2020-02-11 2023-12-05 10X Genomics, Inc. Methods and compositions for partitioning a biological sample
US11840687B2 (en) 2020-06-02 2023-12-12 10X Genomics, Inc. Nucleic acid library methods
US11845979B2 (en) 2020-06-02 2023-12-19 10X Genomics, Inc. Spatial transcriptomics for antigen-receptors
US11866767B2 (en) 2020-05-22 2024-01-09 10X Genomics, Inc. Simultaneous spatio-temporal measurement of gene expression and cellular activity
US11873482B2 (en) 2020-12-21 2024-01-16 10X Genomics, Inc. Methods, compositions, and systems for spatial analysis of analytes in a biological sample
US11891654B2 (en) 2020-02-24 2024-02-06 10X Genomics, Inc. Methods of making gene expression libraries
US11898205B2 (en) 2020-02-03 2024-02-13 10X Genomics, Inc. Increasing capture efficiency of spatial assays
US11926867B2 (en) 2019-01-06 2024-03-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11926863B1 (en) 2020-02-27 2024-03-12 10X Genomics, Inc. Solid state single cell method for analyzing fixed biological cells
US11926822B1 (en) 2020-09-23 2024-03-12 10X Genomics, Inc. Three-dimensional spatial analysis
US11959130B2 (en) 2020-05-22 2024-04-16 10X Genomics, Inc. Spatial analysis to detect sequence variants
US11965213B2 (en) 2019-05-30 2024-04-23 10X Genomics, Inc. Methods of detecting spatial heterogeneity of a biological sample
US11970739B2 (en) 2023-07-06 2024-04-30 10X Genomics, Inc. Multiplex capture of gene and protein expression from a biological sample

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11519033B2 (en) 2018-08-28 2022-12-06 10X Genomics, Inc. Method for transposase-mediated spatial tagging and analyzing genomic DNA in a biological sample
WO2020123319A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Methods of using master / copy arrays for spatial detection
US11768175B1 (en) 2020-03-04 2023-09-26 10X Genomics, Inc. Electrophoretic methods for spatial analysis
WO2021252591A1 (en) 2020-06-10 2021-12-16 10X Genomics, Inc. Methods for determining a location of an analyte in a biological sample
CN116034166A (en) 2020-06-25 2023-04-28 10X基因组学有限公司 Spatial analysis of DNA methylation

Family Cites Families (467)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4683195A (en) 1986-01-30 1987-07-28 Cetus Corporation Process for amplifying, detecting, and/or-cloning nucleic acid sequences
US4965188A (en) 1986-08-22 1990-10-23 Cetus Corporation Process for amplifying, detecting, and/or cloning nucleic acid sequences using a thermostable enzyme
US4683202A (en) 1985-03-28 1987-07-28 Cetus Corporation Process for amplifying nucleic acid sequences
US4883867A (en) 1985-11-01 1989-11-28 Becton, Dickinson And Company Detection of reticulocytes, RNA or DNA
US4800159A (en) 1986-02-07 1989-01-24 Cetus Corporation Process for amplifying, detecting, and/or cloning nucleic acid sequences
GB8810400D0 (en) 1988-05-03 1988-06-08 Southern E Analysing polynucleotide sequences
US4988617A (en) 1988-03-25 1991-01-29 California Institute Of Technology Method of detecting a nucleotide change in nucleic acids
US5130238A (en) 1988-06-24 1992-07-14 Cangene Corporation Enhanced nucleic acid amplification process
US5512439A (en) 1988-11-21 1996-04-30 Dynal As Oligonucleotide-linked magnetic particles and uses thereof
US5002882A (en) 1989-04-27 1991-03-26 New England Biolabs, Inc. Method for producing the XmaI restriction endonuclease and methylase
WO1991006678A1 (en) 1989-10-26 1991-05-16 Sri International Dna sequencing
US5494810A (en) 1990-05-03 1996-02-27 Cornell Research Foundation, Inc. Thermostable ligase-mediated DNA amplifications system for the detection of genetic disease
US5455166A (en) 1991-01-31 1995-10-03 Becton, Dickinson And Company Strand displacement amplification
US5474796A (en) 1991-09-04 1995-12-12 Protogene Laboratories, Inc. Method and apparatus for conducting an array of chemical reactions on a support surface
US6759226B1 (en) 2000-05-24 2004-07-06 Third Wave Technologies, Inc. Enzymes for the detection of specific nucleic acid sequences
US6872816B1 (en) 1996-01-24 2005-03-29 Third Wave Technologies, Inc. Nucleic acid detection kits
DE69219610T2 (en) 1991-09-16 1997-10-02 Molecular Probes Inc Dimeric asymmetrical cyanine dyes
US5321130A (en) 1992-02-10 1994-06-14 Molecular Probes, Inc. Unsymmetrical cyanine dyes with a cationic side chain
US5308751A (en) 1992-03-23 1994-05-03 General Atomics Method for sequencing double-stranded DNA
US5503980A (en) 1992-11-06 1996-04-02 Trustees Of Boston University Positional sequencing by hybridization
US5410030A (en) 1993-04-05 1995-04-25 Molecular Probes, Inc. Dimers of unsymmetrical cyanine dyes containing pyridinium moieties
US5436134A (en) 1993-04-13 1995-07-25 Molecular Probes, Inc. Cyclic-substituted unsymmetrical cyanine dyes
US5658751A (en) 1993-04-13 1997-08-19 Molecular Probes, Inc. Substituted unsymmetrical cyanine dyes with selected permeability
US5837832A (en) 1993-06-25 1998-11-17 Affymetrix, Inc. Arrays of nucleic acid probes on biological chips
US6401267B1 (en) 1993-09-27 2002-06-11 Radoje Drmanac Methods and compositions for efficient nucleic acid sequencing
SE9400522D0 (en) 1994-02-16 1994-02-16 Ulf Landegren Method and reagent for detecting specific nucleotide sequences
US5512462A (en) 1994-02-25 1996-04-30 Hoffmann-La Roche Inc. Methods and reagents for the polymerase chain reaction amplification of long DNA sequences
US5677170A (en) 1994-03-02 1997-10-14 The Johns Hopkins University In vitro transposition of artificial transposons
KR100230718B1 (en) 1994-03-16 1999-11-15 다니엘 엘. 캐시앙, 헨리 엘. 노르호프 Isothermal strand displacement nucleic acid amplification
US6015880A (en) 1994-03-16 2000-01-18 California Institute Of Technology Method and substrate for performing multiple sequential reactions on a matrix
US5552278A (en) 1994-04-04 1996-09-03 Spectragen, Inc. DNA sequencing by stepwise ligation and cleavage
US5807522A (en) 1994-06-17 1998-09-15 The Board Of Trustees Of The Leland Stanford Junior University Methods for fabricating microarrays of biological samples
US5641658A (en) 1994-08-03 1997-06-24 Mosaic Technologies, Inc. Method for performing amplification of nucleic acid with two primers bound to a single solid support
CA2195562A1 (en) 1994-08-19 1996-02-29 Pe Corporation (Ny) Coupled amplification and ligation method
US5750341A (en) 1995-04-17 1998-05-12 Lynx Therapeutics, Inc. DNA sequencing by parallel oligonucleotide extensions
US5648245A (en) 1995-05-09 1997-07-15 Carnegie Institution Of Washington Method for constructing an oligonucleotide concatamer library by rolling circle replication
CA2232230C (en) 1995-10-13 2005-06-28 Ralph H. Lambalot Phosphopantetheinyl transferases and uses thereof
US5763175A (en) 1995-11-17 1998-06-09 Lynx Therapeutics, Inc. Simultaneous sequencing of tagged polynucleotides
US5854033A (en) 1995-11-21 1998-12-29 Yale University Rolling circle replication reporter systems
US6300063B1 (en) 1995-11-29 2001-10-09 Affymetrix, Inc. Polymorphism detection
EP0880598A4 (en) 1996-01-23 2005-02-23 Affymetrix Inc Nucleic acid analysis techniques
US6875572B2 (en) 1996-01-24 2005-04-05 Third Wave Technologies, Inc. Nucleic acid detection assays
US6913881B1 (en) 1996-01-24 2005-07-05 Third Wave Technologies, Inc. Methods and compositions for detecting target sequences
US5985557A (en) 1996-01-24 1999-11-16 Third Wave Technologies, Inc. Invasive cleavage of nucleic acids
EP0920440B1 (en) 1996-02-09 2012-08-22 Cornell Research Foundation, Inc. Detection of nucleic acid sequence differences using the ligase detection reaction with addressable arrays
US6852487B1 (en) 1996-02-09 2005-02-08 Cornell Research Foundation, Inc. Detection of nucleic acid sequence differences using the ligase detection reaction with addressable arrays
US6013440A (en) 1996-03-11 2000-01-11 Affymetrix, Inc. Nucleic acid affinity columns
WO1997045559A1 (en) 1996-05-29 1997-12-04 Cornell Research Foundation, Inc. Detection of nucleic acid sequence differences using coupled ligase detection and polymerase chain reactions
US20050003431A1 (en) 1996-08-16 2005-01-06 Wucherpfennig Kai W. Monovalent, multivalent, and multimeric MHC binding domain fusion proteins and conjugates, and uses therefor
US5965443A (en) 1996-09-09 1999-10-12 Wisconsin Alumni Research Foundation System for in vitro transposition
US5925545A (en) 1996-09-09 1999-07-20 Wisconsin Alumni Research Foundation System for in vitro transposition
GB9620209D0 (en) 1996-09-27 1996-11-13 Cemu Bioteknik Ab Method of sequencing DNA
US6060240A (en) 1996-12-13 2000-05-09 Arcaris, Inc. Methods for measuring relative amounts of nucleic acids in a complex mixture and retrieval of specific sequences therefrom
US5837466A (en) 1996-12-16 1998-11-17 Vysis, Inc. Devices and methods for detecting nucleic acid analytes in samples
GB9626815D0 (en) 1996-12-23 1997-02-12 Cemu Bioteknik Ab Method of sequencing DNA
EP0968223B1 (en) 1997-01-08 2016-12-21 Sigma-Aldrich Co. LLC Bioconjugation of macromolecules
US6309824B1 (en) 1997-01-16 2001-10-30 Hyseq, Inc. Methods for analyzing a target nucleic acid using immobilized heterogeneous mixtures of oligonucleotide probes
US6023540A (en) 1997-03-14 2000-02-08 Trustees Of Tufts College Fiber optic sensor with encoded microspheres
US6327410B1 (en) 1997-03-14 2001-12-04 The Trustees Of Tufts College Target analyte sensors utilizing Microspheres
US20020058250A1 (en) 1997-03-21 2002-05-16 Marshall, Gerstein & Borun Extraction and utilisation of vntr alleles
DE69824716D1 (en) 1997-04-01 2004-07-29 Manteia S A METHOD FOR SEQUENCING NUCLEIC ACIDS
ES2563643T3 (en) 1997-04-01 2016-03-15 Illumina Cambridge Limited Nucleic acid sequencing method
US6143496A (en) 1997-04-17 2000-11-07 Cytonix Corporation Method of sampling, amplifying and quantifying segment of nucleic acid, polymerase chain reaction assembly having nanoliter-sized sample chambers, and method of filling assembly
WO1999005295A1 (en) 1997-07-25 1999-02-04 Thomas Jefferson University Composition and method for targeted integration into cells
JP2001519538A (en) 1997-10-10 2001-10-23 プレジデント・アンド・フェローズ・オブ・ハーバード・カレッジ Replica amplification of nucleic acid arrays
US6242246B1 (en) 1997-12-15 2001-06-05 Somalogic, Inc. Nucleic acid ligand diagnostic Biochip
US6844158B1 (en) 1997-12-22 2005-01-18 Hitachi Chemical Co., Ltd. Direct RT-PCR on oligonucleotide-immobilized PCR microplates
EP2360271A1 (en) 1998-06-24 2011-08-24 Illumina, Inc. Decoding of array sensors with microspheres
WO2000000637A2 (en) 1998-06-26 2000-01-06 Visible Genetics Inc. Method for sequencing nucleic acids with reduced errors
US20030022207A1 (en) 1998-10-16 2003-01-30 Solexa, Ltd. Arrayed polynucleotides and their use in genome analysis
US20040106110A1 (en) 1998-07-30 2004-06-03 Solexa, Ltd. Preparation of polynucleotide arrays
US6787308B2 (en) 1998-07-30 2004-09-07 Solexa Ltd. Arrayed biomolecules and their use in sequencing
DE69900949T2 (en) 1998-09-18 2002-10-02 Micromet Ag DNA AMPLIFICATION FROM SINGLE CELLS
US6159736A (en) 1998-09-23 2000-12-12 Wisconsin Alumni Research Foundation Method for making insertional mutations using a Tn5 synaptic complex
AR021833A1 (en) 1998-09-30 2002-08-07 Applied Research Systems METHODS OF AMPLIFICATION AND SEQUENCING OF NUCLEIC ACID
US6573043B1 (en) 1998-10-07 2003-06-03 Genentech, Inc. Tissue analysis and kits therefor
AU772281B2 (en) 1998-12-14 2004-04-22 Li-Cor Inc. A system and methods for nucleic acid sequencing of single molecules by polymerase synthesis
US6830884B1 (en) 1998-12-15 2004-12-14 Molecular Staging Inc. Method of amplification
ATE440148T1 (en) 1999-01-06 2009-09-15 Callida Genomics Inc IMPROVED SEQUENCING VIA HYBRIDIZATION BY USING PROBE MIXTURES
GB9901475D0 (en) 1999-01-22 1999-03-17 Pyrosequencing Ab A method of DNA sequencing
EP1024201B1 (en) 1999-01-27 2003-11-26 Commissariat A L'energie Atomique Microassay for serial analysis of gene expression and applications thereof
US6153389A (en) 1999-02-22 2000-11-28 Haarer; Brian K. DNA additives as a mechanism for unambiguously marking biological samples
US6355431B1 (en) 1999-04-20 2002-03-12 Illumina, Inc. Detection of nucleic acid amplification reactions using bead arrays
AU4476900A (en) 1999-04-20 2000-11-02 Illumina, Inc. Detection of nucleic acid reactions on bead arrays
US20050181440A1 (en) 1999-04-20 2005-08-18 Illumina, Inc. Nucleic acid sequencing using microsphere arrays
US20060275782A1 (en) 1999-04-20 2006-12-07 Illumina, Inc. Detection of nucleic acid reactions on bead arrays
US7276336B1 (en) 1999-07-22 2007-10-02 Agilent Technologies, Inc. Methods of fabricating an addressable array of biopolymer probes
US20010055764A1 (en) 1999-05-07 2001-12-27 Empedocles Stephen A. Microarray methods utilizing semiconductor nanocrystals
US6620584B1 (en) 1999-05-20 2003-09-16 Illumina Combinatorial decoding of random nucleic acid arrays
US6544732B1 (en) 1999-05-20 2003-04-08 Illumina, Inc. Encoding and decoding of array sensors utilizing nanocrystals
WO2001006012A1 (en) 1999-07-14 2001-01-25 Packard Bioscience Company Derivative nucleic acids and uses thereof
EP1198583A1 (en) 1999-08-02 2002-04-24 Wisconsin Alumni Research Foundation Mutant tn5 transposase enzymes and method for their use
WO2001012855A2 (en) 1999-08-13 2001-02-22 Yale University Binary encoded sequence tags
EP1212599A2 (en) 1999-08-30 2002-06-12 Illumina, Inc. Methods for improving signal detection from an array
DK1218542T3 (en) 1999-09-13 2004-08-02 Nugen Technologies Inc Methods and compositions for linear isothermal amplification of polynucleotide sequences
US6274320B1 (en) 1999-09-16 2001-08-14 Curagen Corporation Method of sequencing a nucleic acid
WO2001023610A2 (en) 1999-09-29 2001-04-05 Solexa Ltd. Polynucleotide sequencing
US6291180B1 (en) 1999-09-29 2001-09-18 American Registry Of Pathology Ultrasound-mediated high-speed biological reaction and tissue processing
WO2001025188A1 (en) 1999-10-04 2001-04-12 University Of Medicine And Dentistry Of New Jersey Novel carbamates and ureas
WO2001027327A2 (en) 1999-10-08 2001-04-19 Protogene Laboratories, Inc. Method and apparatus for performing large numbers of reactions using array assembly
EP1238286A1 (en) 1999-12-13 2002-09-11 THE GOVERNMENT OF THE UNITED STATES OF AMERICA, as represented by THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERVICES High-throughput tissue microarray technology and applications
GB0002389D0 (en) 2000-02-02 2000-03-22 Solexa Ltd Molecular arrays
US7582420B2 (en) 2001-07-12 2009-09-01 Illumina, Inc. Multiplex nucleic acid reactions
US20020006617A1 (en) 2000-02-07 2002-01-17 Jian-Bing Fan Nucleic acid detection methods using universal priming
US7361488B2 (en) 2000-02-07 2008-04-22 Illumina, Inc. Nucleic acid detection methods using universal priming
US8076063B2 (en) 2000-02-07 2011-12-13 Illumina, Inc. Multiplexed methylation detection methods
US7611869B2 (en) 2000-02-07 2009-11-03 Illumina, Inc. Multiplexed methylation detection methods
US7955794B2 (en) 2000-09-21 2011-06-07 Illumina, Inc. Multiplex nucleic acid reactions
WO2001057268A2 (en) 2000-02-07 2001-08-09 Illumina, Inc. Nucleic acid detection methods using universal priming
US6770441B2 (en) 2000-02-10 2004-08-03 Illumina, Inc. Array compositions and methods of making same
AU3839101A (en) 2000-02-15 2001-08-27 Lynx Therapeutics, Inc. Data analysis and display system for ligation-based dna sequencing
JP2003530365A (en) 2000-04-10 2003-10-14 ザ スクリプス リサーチ インスティチュート Proteomic analysis
US6368801B1 (en) 2000-04-12 2002-04-09 Molecular Staging, Inc. Detection and amplification of RNA using target-mediated ligation of DNA by RNA ligase
EP1290225A4 (en) 2000-05-20 2004-09-15 Univ Michigan Method of producing a dna library using positional amplification
US7439016B1 (en) 2000-06-15 2008-10-21 Digene Corporation Detection of nucleic acids by type-specific hybrid capture method
EP1368460B1 (en) 2000-07-07 2007-10-31 Visigen Biotechnologies, Inc. Real-time sequence determination
GB0018120D0 (en) 2000-07-24 2000-09-13 Fermentas Ab Nuclease
WO2002014860A1 (en) 2000-08-15 2002-02-21 Discerna Limited Functional protein arrays
WO2002027029A2 (en) 2000-09-27 2002-04-04 Lynx Therapeutics, Inc. Method for determining relative abundance of nucleic acid sequences
EP1348034B1 (en) 2000-11-15 2016-07-20 Minerva Biotechnologies Corporation Oligonucleotide identifiers
US7211414B2 (en) 2000-12-01 2007-05-01 Visigen Biotechnologies, Inc. Enzymatic nucleic acid synthesis: compositions and methods for altering monomer incorporation fidelity
AR031640A1 (en) 2000-12-08 2003-09-24 Applied Research Systems ISOTHERMAL AMPLIFICATION OF NUCLEIC ACIDS IN A SOLID SUPPORT
US20030017451A1 (en) 2000-12-21 2003-01-23 Hui Wang Methods for detecting transcripts
US7135296B2 (en) 2000-12-28 2006-11-14 Mds Inc. Elemental analysis of tagged biologically active materials
JP4061043B2 (en) 2000-12-28 2008-03-12 株式会社ポストゲノム研究所 Method for producing peptide etc. by in vitro transcription / translation system
CA2434139C (en) 2001-01-23 2014-05-27 President And Fellows Of Harvard College Nucleic-acid programmable protein arrays
WO2002059355A2 (en) 2001-01-25 2002-08-01 Tm Bioscience Corporation Polynucleotides for use as tags and tag complements, manufacture and use thereof
KR20020063359A (en) 2001-01-27 2002-08-03 일렉트론 바이오 (주) nucleic hybridization assay method and device using a cleavage technique responsive to the specific sequences of the complementary double strand of nucleic acids or oligonucleotides
US6573051B2 (en) 2001-03-09 2003-06-03 Molecular Staging, Inc. Open circle probes with intramolecular stem structures
US7297518B2 (en) 2001-03-12 2007-11-20 California Institute Of Technology Methods and apparatus for analyzing polynucleotide sequences by asynchronous base extension
AU2002322457A1 (en) 2001-06-28 2003-03-03 Illumina, Inc. Multiplex decoding of array sensors with microspheres
WO2003008968A2 (en) 2001-07-19 2003-01-30 Signet Laboratories, Inc. Human tissue specific drug screening procedure
US20040091857A1 (en) 2001-07-20 2004-05-13 Nallur Girish N. Gene expression profiling
GB0118031D0 (en) 2001-07-24 2001-09-19 Oxford Glycosciences Uk Ltd Self assembled protein nucleic acid complexes and self assembled protein arrays
WO2003031591A2 (en) 2001-10-10 2003-04-17 Superarray Bioscience Corporation Detecting targets by unique identifier nucleotide tags
US6942972B2 (en) 2001-10-24 2005-09-13 Beckman Coulter, Inc. Efficient synthesis of protein-oligonucleotide conjugates
EP1451365A4 (en) 2001-11-13 2006-09-13 Rubicon Genomics Inc Dna amplification and sequencing using dna molecules generated by random fragmentation
GB0127564D0 (en) 2001-11-16 2002-01-09 Medical Res Council Emulsion compositions
US7057026B2 (en) 2001-12-04 2006-06-06 Solexa Limited Labelled nucleotides
AU2003242605A1 (en) 2002-06-03 2003-12-19 Pamgene B.V. Novel high density arrays and methods for analyte analysis
US7108976B2 (en) 2002-06-17 2006-09-19 Affymetrix, Inc. Complexity management of genomic DNA by locus specific amplification
US20050118616A1 (en) 2002-08-16 2005-06-02 Kawashima Tadashi R. Amplification of target nucleotide sequence without polymerase chain reaction
US7205128B2 (en) 2002-08-16 2007-04-17 Agilent Technologies, Inc. Method for synthesis of the second strand of cDNA
EP3002289B1 (en) 2002-08-23 2018-02-28 Illumina Cambridge Limited Modified nucleotides for polynucleotide sequencing
WO2004027025A2 (en) 2002-09-20 2004-04-01 New England Biolabs, Inc. Helicase dependent amplification of nucleic acids
US20040259105A1 (en) 2002-10-03 2004-12-23 Jian-Bing Fan Multiplex nucleic acid analysis using archived or fixed samples
US20040067492A1 (en) 2002-10-04 2004-04-08 Allan Peng Reverse transcription on microarrays
GB0302058D0 (en) 2003-01-29 2003-02-26 Univ Cranfield Replication of nucleic acid arrays
ES2396245T3 (en) 2003-01-29 2013-02-20 454 Life Sciences Corporation Nucleic Acid Amplification and Sequencing Method
FR2852317B1 (en) 2003-03-13 2006-08-04 PROBE BIOPUCES AND METHODS OF USE
US7083980B2 (en) 2003-04-17 2006-08-01 Wisconsin Alumni Research Foundation Tn5 transposase mutants and the use thereof
US7666612B2 (en) 2003-05-23 2010-02-23 Epfl-Ecole Polytechnique Federale De Lausanne Methods for protein labeling based on acyl carrier protein
WO2005047543A2 (en) 2003-06-10 2005-05-26 Applera Corporation Ligation assay
US20060216775A1 (en) 2003-06-17 2006-09-28 The Regents Of The University Of Califoenia Compositions and methods for analysis and manipulation of enzymes in biosynthetic proteomes
EP1636337A4 (en) 2003-06-20 2007-07-04 Illumina Inc Methods and compositions for whole genome amplification and genotyping
US20070128656A1 (en) 2003-06-26 2007-06-07 University Of South Florida Direct Fluorescent Label Incorporation Via 1st Strand cDNA Synthesis
CA2530810A1 (en) 2003-07-03 2005-01-27 The Regents Of The University Of California Genome mapping of functional dna elements and cellular proteins
WO2005010145A2 (en) 2003-07-05 2005-02-03 The Johns Hopkins University Method and compositions for detection and enumeration of genetic variations
WO2005021794A2 (en) 2003-09-02 2005-03-10 Keygene N.V. Ola-based methods for the detection of target nucleic acid sequences
CA2536565A1 (en) 2003-09-10 2005-05-12 Althea Technologies, Inc. Expression profiling using microarrays
GB0321306D0 (en) 2003-09-11 2003-10-15 Solexa Ltd Modified polymerases for improved incorporation of nucleotide analogues
US20050266417A1 (en) 2003-09-12 2005-12-01 Francis Barany Methods for identifying target nucleic acid molecules
EP1670939B1 (en) 2003-09-18 2009-11-04 Nuevolution A/S A method for obtaining structural information concerning an encoded molecule and method for selecting compounds
US20050064435A1 (en) 2003-09-24 2005-03-24 Xing Su Programmable molecular barcodes
US20050136414A1 (en) 2003-12-23 2005-06-23 Kevin Gunderson Methods and compositions for making locus-specific arrays
CA2552858A1 (en) 2004-01-23 2005-08-04 Lingvitae As Improving polynucleotide ligation reactions
US7378242B2 (en) 2004-03-18 2008-05-27 Atom Sciences, Inc. DNA sequence detection by limited primer extension
KR100624420B1 (en) 2004-04-10 2006-09-19 삼성전자주식회사 A microarray having microarray identification information stored in the form of a spot, method of producing the microarray and method of using the microarray
CA2563168A1 (en) 2004-04-14 2005-11-17 President And Fellows Of Harvard College Nucleic-acid programmable protein arrays
WO2005113804A1 (en) 2004-05-20 2005-12-01 Trillion Genomics Limited Use of mass labelled probes to detect target nucleic acids using mass spectrometry
US7608434B2 (en) 2004-08-04 2009-10-27 Wisconsin Alumni Research Foundation Mutated Tn5 transposase proteins and the use thereof
WO2006073504A2 (en) 2004-08-04 2006-07-13 President And Fellows Of Harvard College Wobble sequencing
US7776547B2 (en) 2004-08-26 2010-08-17 Intel Corporation Cellular analysis using Raman surface scanning
US7527970B2 (en) 2004-10-15 2009-05-05 The United States Of America As Represented By The Department Of Health And Human Services Method of identifying active chromatin domains
ES2534304T3 (en) 2004-11-12 2015-04-21 Asuragen, Inc. Procedures and compositions involving miRNA and miRNA inhibitor molecules
US7183119B2 (en) 2004-11-15 2007-02-27 Eastman Kodak Company Method for sensitive detection of multiple biological analytes
ATE420170T1 (en) 2004-11-22 2009-01-15 Peter Birk Rasmussen MATTRICE-DIRECTED SPLIT-AND-MIX SYNTHESIS OF SMALL MOLECULE LIBRARIES
US7579153B2 (en) 2005-01-25 2009-08-25 Population Genetics Technologies, Ltd. Isothermal DNA amplification
US7407757B2 (en) 2005-02-10 2008-08-05 Population Genetics Technologies Genetic analysis by sequence-specific sorting
US7393665B2 (en) 2005-02-10 2008-07-01 Population Genetics Technologies Ltd Methods and compositions for tagging and identifying polynucleotides
US7727721B2 (en) 2005-03-08 2010-06-01 California Institute Of Technology Hybridization chain reaction amplification for in situ imaging
US7776567B2 (en) 2005-03-17 2010-08-17 Biotium, Inc. Dimeric and trimeric nucleic acid dyes, and associated systems and methods
US7601498B2 (en) 2005-03-17 2009-10-13 Biotium, Inc. Methods of using dyes in association with nucleic acid staining or detection and associated technology
US7303880B2 (en) 2005-03-18 2007-12-04 Wisconsin Alumni Research Foundation Microdissection-based methods for determining genomic features of single chromosomes
JP4990886B2 (en) 2005-05-10 2012-08-01 ソレックサ リミテッド Improved polymerase
US7803541B2 (en) 2005-05-12 2010-09-28 Panomics, Inc. Multiplex branched-chain DNA assays
US20060263789A1 (en) 2005-05-19 2006-11-23 Robert Kincaid Unique identifiers for indicating properties associated with entities to which they are attached, and methods for using
WO2007145612A1 (en) 2005-06-06 2007-12-21 454 Life Sciences Corporation Paired end sequencing
CA2611671C (en) 2005-06-15 2013-10-08 Callida Genomics, Inc. Single molecule arrays for genetic and chemical analysis
US20090264299A1 (en) 2006-02-24 2009-10-22 Complete Genomics, Inc. High throughput genome sequencing on DNA arrays
US20070087360A1 (en) 2005-06-20 2007-04-19 Boyd Victoria L Methods and compositions for detecting nucleotides
CN104673903B (en) 2005-06-20 2018-11-13 领先细胞医疗诊断有限公司 The method for detecting the nucleic acid in individual cells and identifying rare cells in heterogeneous maxicell group
ATE491045T1 (en) 2005-06-23 2010-12-15 Keygene Nv HIGH-THROUGHPUT STRATEGIES FOR IDENTIFICATION AND DETECTION OF POLYMORPHISMS
US20070026430A1 (en) 2005-06-30 2007-02-01 Applera Corporation Proximity probing of target proteins comprising restriction and/or extension
US7883848B2 (en) 2005-07-08 2011-02-08 Olink Ab Regulation analysis by cis reactivity, RACR
JP4822753B2 (en) 2005-07-11 2011-11-24 一般社団法人オンチップ・セロミクス・コンソーシアム Cell component sorting chip, cell component analysis system, and cell component analysis method using them
US20070020640A1 (en) 2005-07-21 2007-01-25 Mccloskey Megan L Molecular encoding of nucleic acid templates for PCR and other forms of sequence analysis
JP2007074967A (en) 2005-09-13 2007-03-29 Canon Inc Identifier probe and method for amplifying nucleic acid by using the same
US7405281B2 (en) 2005-09-29 2008-07-29 Pacific Biosciences Of California, Inc. Fluorescent nucleotide analogs and uses therefor
JP5237099B2 (en) 2005-09-29 2013-07-17 キージーン ナムローゼ フェンノートシャップ High-throughput screening of mutated populations
WO2007041689A2 (en) 2005-10-04 2007-04-12 President And Fellows Of Harvard College Methods of site-specific labeling of molecules and molecules produced thereby
GB0522310D0 (en) 2005-11-01 2005-12-07 Solexa Ltd Methods of preparing libraries of template polynucleotides
US20070116612A1 (en) 2005-11-02 2007-05-24 Biopath Automation, L.L.C. Prefix tissue cassette
EP1951905B1 (en) 2005-11-10 2012-04-11 Affymetrix, Inc. Detection of nucleic acids through amplification of surrogate nucleic acids
WO2007120208A2 (en) 2005-11-14 2007-10-25 President And Fellows Of Harvard College Nanogrid rolling circle dna sequencing
ATE527383T1 (en) 2005-11-22 2011-10-15 Stichting Dienst Landbouwkundi MULTIPLEX NUCLEIC ACID DETECTION
WO2007060599A1 (en) 2005-11-25 2007-05-31 Koninklijke Philips Electronics N.V. Magnetic biosensor for determination of enzymic activity
WO2007100392A2 (en) 2005-11-30 2007-09-07 Biotium, Inc. Enzyme substrate comprising a functional dye and associated technology and methods
US7803751B2 (en) 2005-12-09 2010-09-28 Illumina, Inc. Compositions and methods for detecting phosphomonoester
JP5198284B2 (en) 2005-12-22 2013-05-15 キージーン ナムローゼ フェンノートシャップ An improved strategy for transcript characterization using high-throughput sequencing techniques
WO2007073165A1 (en) 2005-12-22 2007-06-28 Keygene N.V. Method for high-throughput aflp-based polymorphism detection
CN101395281B (en) 2006-01-04 2013-05-01 骆树恩 Methods for nucleic acid mapping and identification of fine-structural-variations in nucleic acids and utilities
US7537897B2 (en) 2006-01-23 2009-05-26 Population Genetics Technologies, Ltd. Molecular counting
WO2007092538A2 (en) 2006-02-07 2007-08-16 President And Fellows Of Harvard College Methods for making nucleotide probes for sequencing and synthesis
JP5180845B2 (en) 2006-02-24 2013-04-10 カリダ・ジェノミックス・インコーポレイテッド High-throughput genomic sequencing on DNA arrays
US20080009420A1 (en) 2006-03-17 2008-01-10 Schroth Gary P Isothermal methods for creating clonal single molecule arrays
ES2545264T3 (en) 2006-04-04 2015-09-09 Keygene N.V. High performance detection of molecular markers based on restriction fragments
US8383338B2 (en) 2006-04-24 2013-02-26 Roche Nimblegen, Inc. Methods and systems for uniform enrichment of genomic regions
WO2007127458A2 (en) 2006-04-28 2007-11-08 Nsabp Foundation, Inc. Methods of whole genome or microarray expression profiling using nucleic acids
EP2677039B8 (en) 2006-05-10 2022-10-05 DxTerity Diagnostics Incorporated Detection of nucleic acid targets using chemically reactive oligonucleotide probes
ES2620398T3 (en) 2006-05-22 2017-06-28 Nanostring Technologies, Inc. Systems and methods to analyze nanoindicators
US20080132429A1 (en) 2006-05-23 2008-06-05 Uchicago Argonne Biological microarrays with enhanced signal yield
US8362242B2 (en) 2006-06-30 2013-01-29 Dh Technologies Development Pte. Ltd. Analyte determination utilizing mass tagging reagents comprising a non-encoded detectable label
US7858305B2 (en) 2006-06-30 2010-12-28 The Invention Science Fund I, Llc Method of combing a nucleic acid
AT503862B1 (en) 2006-07-05 2010-11-15 Arc Austrian Res Centers Gmbh PATHOGENIC IDENTIFICATION DUE TO A 16S OR 18S RRNA MICROARRAY
US8568979B2 (en) 2006-10-10 2013-10-29 Illumina, Inc. Compositions and methods for representational selection of nucleic acids from complex mixtures using hybridization
WO2008051530A2 (en) 2006-10-23 2008-05-02 Pacific Biosciences Of California, Inc. Polymerase enzymes and reagents for enhanced nucleic acid sequencing
US20080108804A1 (en) 2006-11-02 2008-05-08 Kabushiki Kaisha Dnaform Method for modifying RNAS and preparing DNAS from RNAS
US20110045462A1 (en) 2006-11-14 2011-02-24 The Regents Of The University Of California Digital analysis of gene expression
EP2677309B9 (en) 2006-12-14 2014-11-19 Life Technologies Corporation Methods for sequencing a nucleic acid using large scale FET arrays, configured to measure a limited pH range
US8262900B2 (en) 2006-12-14 2012-09-11 Life Technologies Corporation Methods and apparatus for measuring analytes using large scale FET arrays
CN101221182A (en) 2007-01-08 2008-07-16 山东司马特生物芯片有限公司 Novel method for blood serum tumor series diagnosis by fluorescent protein chip
WO2008093098A2 (en) 2007-02-02 2008-08-07 Illumina Cambridge Limited Methods for indexing samples and sequencing multiple nucleotide templates
US20080220434A1 (en) 2007-02-07 2008-09-11 Perscitus Biosciences, Llc Detection Of Molecule Proximity
WO2008128111A1 (en) 2007-04-13 2008-10-23 Sequenom, Inc. Comparative sequence analysis processes and systems
CN101720359A (en) 2007-06-01 2010-06-02 454生命科学公司 System and meth0d for identification of individual samples from a multiplex mixture
EP2395113A1 (en) 2007-06-29 2011-12-14 Population Genetics Technologies Ltd. Methods and compositions for isolating nucleic acid sequence variants
JP2009036694A (en) 2007-08-03 2009-02-19 Tokyo Medical & Dental Univ Method for analyzing biological substance in cell maintaining spatial distribution
WO2009032167A1 (en) 2007-08-29 2009-03-12 Illumina Cambridge Method for sequencing a polynucleotide template
US9388457B2 (en) 2007-09-14 2016-07-12 Affymetrix, Inc. Locus specific amplification using array probes
WO2009036525A2 (en) 2007-09-21 2009-03-26 Katholieke Universiteit Leuven Tools and methods for genetic tests using next generation sequencing
EP2053132A1 (en) 2007-10-23 2009-04-29 Roche Diagnostics GmbH Enrichment and sequence analysis of geomic regions
US8518640B2 (en) 2007-10-29 2013-08-27 Complete Genomics, Inc. Nucleic acid sequencing and process
US8592150B2 (en) 2007-12-05 2013-11-26 Complete Genomics, Inc. Methods and compositions for long fragment read sequencing
EP3699291A1 (en) 2008-01-17 2020-08-26 Sequenom, Inc. Single molecule nucleic acid sequence analysis processes and compositions
KR20090081260A (en) 2008-01-23 2009-07-28 삼성전자주식회사 Assay method of microarray hybridization
US8093064B2 (en) 2008-05-15 2012-01-10 The Regents Of The University Of California Method for using magnetic particles in droplet microfluidics
DE102008025656B4 (en) 2008-05-28 2016-07-28 Genxpro Gmbh Method for the quantitative analysis of nucleic acids, markers therefor and their use
WO2009148560A2 (en) 2008-05-30 2009-12-10 Board Of Regents, The Universtiy Of Texas System Methods and compositions for nucleic acid sequencing
US20100035249A1 (en) 2008-08-05 2010-02-11 Kabushiki Kaisha Dnaform Rna sequencing and analysis using solid support
CA2733609C (en) 2008-08-14 2018-03-06 Nanostring Technologies, Inc. Stable nanoreporters
CN102203287B (en) 2008-08-26 2017-09-19 弗卢迪格姆公司 Increase the assay method of sample and/or target flux
US8586310B2 (en) 2008-09-05 2013-11-19 Washington University Method for multiplexed nucleic acid patch polymerase chain reaction
US8383345B2 (en) 2008-09-12 2013-02-26 University Of Washington Sequence tag directed subassembly of short sequencing reads into long sequencing reads
US9080211B2 (en) 2008-10-24 2015-07-14 Epicentre Technologies Corporation Transposon end compositions and methods for modifying nucleic acids
EP2356259A4 (en) 2008-10-30 2012-11-14 Sequenom Inc Products and processes for multiplex nucleic acid identification
US8790873B2 (en) 2009-01-16 2014-07-29 Affymetrix, Inc. DNA ligation on RNA template
KR101059565B1 (en) 2009-02-11 2011-08-26 어플라이드 프레시젼, 인코포레이티드 Microarrays with bright reference point labels and methods of collecting optical data therefrom
US8481698B2 (en) 2009-03-19 2013-07-09 The President And Fellows Of Harvard College Parallel proximity ligation event analysis
AU2010232439C1 (en) 2009-04-02 2017-07-13 Fluidigm Corporation Multi-primer amplification method for barcoding of target nucleic acids
WO2010115100A1 (en) 2009-04-03 2010-10-07 L&C Diagment, Inc. Multiplex nucleic acid detection methods and systems
US9085798B2 (en) 2009-04-30 2015-07-21 Prognosys Biosciences, Inc. Nucleic acid constructs and methods of use
CA2760439A1 (en) 2009-04-30 2010-11-04 Good Start Genetics, Inc. Methods and compositions for evaluating genetic markers
WO2011008502A2 (en) 2009-06-29 2011-01-20 California Institute Of Technology Isolation of unknown rearranged t-cell receptors from single cells
GB0912909D0 (en) 2009-07-23 2009-08-26 Olink Genomics Ab Probes for specific analysis of nucleic acids
WO2011014811A1 (en) 2009-07-31 2011-02-03 Ibis Biosciences, Inc. Capture primers and capture sequence linked solid supports for molecular diagnostic tests
US9005891B2 (en) 2009-11-10 2015-04-14 Genomic Health, Inc. Methods for depleting RNA from nucleic acid samples
US20120277113A1 (en) 2009-11-18 2012-11-01 Ruo-Pan Huang Array-based proximity ligation association assays
CN106701739A (en) 2009-12-04 2017-05-24 株式会社日立制作所 Analysis device and equipment for gene expression analysis
SG10201407883PA (en) 2009-12-07 2015-01-29 Illumina Inc Multi-sample indexing for multiplex genotyping
US8835358B2 (en) 2009-12-15 2014-09-16 Cellular Research, Inc. Digital counting of individual molecules by stochastic attachment of diverse labels
WO2011075083A1 (en) 2009-12-15 2011-06-23 Agency For Science, Technology And Research Processing of amplified dna fragments for sequencing
ES2719502T3 (en) 2010-01-29 2019-07-10 Advanced Cell Diagnostics Inc Nucleic acid in situ detection methods
EP2354242A1 (en) 2010-02-03 2011-08-10 Epiontis GmbH Assay for determining the type and/or status of a cell based on the epigenetic pattern and the chromatin structure
US20110245101A1 (en) 2010-04-05 2011-10-06 Prognosys Biosciences, Inc. Co-localization affinity assays
US20190300945A1 (en) 2010-04-05 2019-10-03 Prognosys Biosciences, Inc. Spatially Encoded Biological Assays
US10787701B2 (en) 2010-04-05 2020-09-29 Prognosys Biosciences, Inc. Spatially encoded biological assays
PT2556171E (en) 2010-04-05 2015-12-21 Prognosys Biosciences Inc Spatially encoded biological assays
WO2011143556A1 (en) 2010-05-13 2011-11-17 Gen9, Inc. Methods for nucleotide sequencing and high fidelity polynucleotide synthesis
US8828688B2 (en) 2010-05-27 2014-09-09 Affymetrix, Inc. Multiplex amplification methods
CN102933721B (en) 2010-06-09 2015-12-02 凯津公司 For the composite sequence barcode of high flux screening
US11203786B2 (en) 2010-08-06 2021-12-21 Ariosa Diagnostics, Inc. Detection of target nucleic acids using hybridization
ES2595433T3 (en) 2010-09-21 2016-12-30 Population Genetics Technologies Ltd. Increased confidence in allele identifications with molecular count
US10669569B2 (en) 2010-10-15 2020-06-02 Navinci Diagnostics Ab Dynamic range methods
JP5978220B2 (en) 2010-10-29 2016-08-24 プレジデント アンド フェローズ オブ ハーバード カレッジ Nucleic acid nanostructure barcode probe
US20130184184A1 (en) 2010-11-22 2013-07-18 The University Of Chicago Methods and/or Use of Oligonucleotide Conjugates Having Varied Degrees of Labeling for Assays and Detections
US20140121118A1 (en) 2010-11-23 2014-05-01 Opx Biotechnologies, Inc. Methods, systems and compositions regarding multiplex construction protein amino-acid substitutions and identification of sequence-activity relationships, to provide gene replacement such as with tagged mutant genes, such as via efficient homologous recombination
EP2675916B1 (en) 2011-02-15 2016-08-24 Leica Biosystems Newcastle Limited METHOD FOR LOCALIZED IN SITU DETECTION OF mRNA
EP2689028B1 (en) 2011-03-23 2017-08-30 Pacific Biosciences Of California, Inc. Isolation of polymerase-nucleic acid complexes and loading onto substrates
EP3150750B1 (en) 2011-04-08 2018-12-26 Prognosys Biosciences, Inc. Peptide constructs and assay systems
GB201106254D0 (en) 2011-04-13 2011-05-25 Frisen Jonas Method and product
AU2012251027B2 (en) 2011-05-04 2015-03-26 Htg Molecular Diagnostics, Inc. Quantitative nuclease protection Assay (qNPA) and sequencing (qNPS) improvements
EP2707507B1 (en) 2011-05-09 2017-11-01 Fluidigm Corporation Probe based nucleic acid detection
AU2012255121B2 (en) 2011-05-17 2017-03-09 Dxterity Diagnostics Incorporated Methods and compositions for detecting target nucleic acids
CA2835942C (en) 2011-05-19 2019-01-22 Sequenom, Inc. Products and processes for multiplex nucleic acid identification
US8728987B2 (en) 2011-08-03 2014-05-20 Bio-Rad Laboratories, Inc. Filtering small nucleic acids using permeabilized cells
HUE056246T2 (en) 2011-09-23 2022-02-28 Illumina Inc Compositions for nucleic acid sequencing
WO2013085710A2 (en) 2011-12-09 2013-06-13 Illumina, Inc. Expanded radix for polymeric tags
CA2863257C (en) 2012-02-14 2021-12-14 Cornell University Method for relative quantification of nucleic acid sequence, expression, or copy changes, using combined nuclease, ligation, and polymerase reactions
PL2814959T3 (en) 2012-02-17 2018-07-31 Fred Hutchinson Cancer Research Center Compositions and methods for accurately identifying mutations
WO2013138510A1 (en) 2012-03-13 2013-09-19 Patel Abhijit Ajit Measurement of nucleic acid variants using highly-multiplexed error-suppressed deep sequencing
HUE051845T2 (en) 2012-03-20 2021-03-29 Univ Washington Through Its Center For Commercialization Methods of lowering the error rate of massively parallel dna sequencing using duplex consensus sequencing
EP2647426A1 (en) 2012-04-03 2013-10-09 Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. Replication of distributed nucleic acid molecules with preservation of their relative distribution through hybridization-based binding
US8895249B2 (en) 2012-06-15 2014-11-25 Illumina, Inc. Kinetic exclusion amplification of nucleic acid libraries
CN104508128A (en) 2012-07-30 2015-04-08 株式会社日立制作所 Tag-sequence-attached two-dimensional cDNA library device, and gene expression analysis method and gene expression analysis apparatus each utilizing same
US10273541B2 (en) 2012-08-14 2019-04-30 10X Genomics, Inc. Methods and systems for processing polynucleotides
US10323279B2 (en) 2012-08-14 2019-06-18 10X Genomics, Inc. Methods and systems for processing polynucleotides
WO2014044724A1 (en) 2012-09-18 2014-03-27 Qiagen Gmbh Method and kit for preparing a target rna depleted sample
US9783841B2 (en) 2012-10-04 2017-10-10 The Board Of Trustees Of The Leland Stanford Junior University Detection of target nucleic acids in a cellular sample
CA2886974C (en) * 2012-10-17 2021-06-29 Spatial Transcriptomics Ab Methods and product for optimising localised or spatial detection of gene expression in a tissue sample
EP2929056A4 (en) 2012-12-10 2016-11-09 Resolution Bioscience Inc Methods for targeted genomic analysis
US9512422B2 (en) 2013-02-26 2016-12-06 Illumina, Inc. Gel patterned surfaces
EP2971184B1 (en) 2013-03-12 2019-04-17 President and Fellows of Harvard College Method of generating a three-dimensional nucleic acid containing matrix
WO2014152397A2 (en) 2013-03-14 2014-09-25 The Broad Institute, Inc. Selective purification of rna and rna-bound molecular complexes
US20160019337A1 (en) 2013-03-15 2016-01-21 Htg Molecular Diagnostics, Inc. Subtyping lung cancers
CN114107458A (en) 2013-03-15 2022-03-01 血统生物科学公司 Method for sequencing an immune repertoire
WO2014176435A2 (en) 2013-04-25 2014-10-30 Bergo Vladislav B Microarray compositions and methods of their use
AU2014268710B2 (en) 2013-05-23 2018-10-18 The Board Of Trustees Of The Leland Stanford Junior University Transposition into native chromatin for personal epigenomics
WO2014210223A1 (en) 2013-06-25 2014-12-31 Prognosys Biosciences, Inc. Spatially encoded biological assays using a microfluidic device
US20150000854A1 (en) 2013-06-27 2015-01-01 The Procter & Gamble Company Sheet products bearing designs that vary among successive sheets, and apparatus and methods for producing the same
JP6546177B2 (en) 2013-09-13 2019-07-17 ザ ボード オブ トラスティーズ オブ ザ レランド スタンフォード ジュニア ユニバーシティー Multiplexed imaging of tissue using mass tags and secondary ion mass spectrometers
US9834814B2 (en) 2013-11-22 2017-12-05 Agilent Technologies, Inc. Spatial molecular barcoding of in situ nucleic acids
CN106460069B (en) 2014-04-18 2021-02-12 威廉马歇莱思大学 Competitive compositions for enriching nucleic acid molecules for rare allele-containing material
EP3161152B1 (en) 2014-06-30 2018-12-26 Illumina, Inc. Methods and compositions using one-sided transposition
WO2016007839A1 (en) 2014-07-11 2016-01-14 President And Fellows Of Harvard College Methods for high-throughput labelling and detection of biological features in situ using microscopy
EP4273263A3 (en) 2014-07-30 2024-01-31 President and Fellows of Harvard College Systems and methods for determining nucleic acids
US9957550B2 (en) 2014-09-08 2018-05-01 BioSpyder Technologies, Inc. Attenuators
US11091810B2 (en) 2015-01-27 2021-08-17 BioSpyder Technologies, Inc. Focal gene expression profiling of stained FFPE tissues with spatial correlation to morphology
US9856521B2 (en) 2015-01-27 2018-01-02 BioSpyder Technologies, Inc. Ligation assays in liquid phase
US9938566B2 (en) 2014-09-08 2018-04-10 BioSpyder Technologies, Inc. Profiling expression at transcriptome scale
AU2015319825A1 (en) 2014-09-26 2017-04-27 Nooma Bio, Inc. Target sequence detection by nanopore sensing of synthetic probes
US20160108458A1 (en) 2014-10-06 2016-04-21 The Board Of Trustees Of The Leland Stanford Junior University Multiplexed detection and quantification of nucleic acids in single-cells
US20160122817A1 (en) 2014-10-29 2016-05-05 10X Genomics, Inc. Methods and compositions for targeted nucleic acid sequencing
CN107208144B (en) 2014-11-21 2021-06-08 纳米线科技公司 Enzyme-free and amplification-free sequencing
WO2016100974A1 (en) 2014-12-19 2016-06-23 The Broad Institute Inc. Unbiased identification of double-strand breaks and genomic rearrangement by genome-wide insert capture sequencing
WO2016112073A1 (en) 2015-01-06 2016-07-14 Good Start Genetics, Inc. Screening for structural variants
WO2016118500A1 (en) 2015-01-23 2016-07-28 Mestek, Inc. Airfoil blade and method of assembly
EP3262189B1 (en) 2015-02-27 2021-12-08 Becton, Dickinson and Company Methods for barcoding nucleic acids for sequencing
US9727810B2 (en) 2015-02-27 2017-08-08 Cellular Research, Inc. Spatially addressable molecular barcoding
EP3277843A2 (en) 2015-03-30 2018-02-07 Cellular Research, Inc. Methods and compositions for combinatorial barcoding
CN107532207B (en) 2015-04-10 2021-05-07 空间转录公司 Spatially differentiated, multiplexed nucleic acid analysis of biological samples
EP3283641B1 (en) 2015-04-14 2019-11-27 Koninklijke Philips N.V. Spatial mapping of molecular profiles of biological tissue samples
US10059990B2 (en) 2015-04-14 2018-08-28 Massachusetts Institute Of Technology In situ nucleic acid sequencing of expanded biological samples
US20180057873A1 (en) 2015-04-17 2018-03-01 Centrillion Technology Holdings Corporation Methods for performing spatial profiling of biological materials
EP3285926B1 (en) 2015-04-21 2022-03-02 General Automation Lab Technologies Inc. Kit and method for high throughput microbiology applications
CA2992492A1 (en) 2015-07-17 2017-01-26 Nanostring Technologies, Inc. Simultaneous quantification of gene expression in a user-defined region of a cross-sectioned tissue
WO2017019481A1 (en) 2015-07-24 2017-02-02 The Johns Hopkins University Compositions and methods of rna analysis
WO2017019456A2 (en) 2015-07-27 2017-02-02 Illumina, Inc. Spatial mapping of nucleic acid sequence information
WO2017027368A1 (en) 2015-08-07 2017-02-16 Massachusetts Institute Of Technology Protein retention expansion microscopy
CA2994958C (en) 2015-08-07 2024-02-13 Massachusetts Institute Of Technology Nanoscale imaging of proteins and nucleic acids via expansion microscopy
US11118216B2 (en) 2015-09-08 2021-09-14 Affymetrix, Inc. Nucleic acid analysis by joining barcoded polynucleotide probes
WO2017075293A1 (en) 2015-10-28 2017-05-04 Silicon Valley Scientific, Inc. Method and apparatus for encoding cellular spatial position information
SG11201804086VA (en) 2015-12-04 2018-06-28 10X Genomics Inc Methods and compositions for nucleic acid analysis
US10633648B2 (en) 2016-02-12 2020-04-28 University Of Washington Combinatorial photo-controlled spatial sequencing and labeling
US20170241911A1 (en) 2016-02-22 2017-08-24 Miltenyi Biotec Gmbh Automated analysis tool for biological specimens
CN108779488B (en) 2016-02-26 2022-01-21 小利兰·斯坦福大学托管委员会 Multiplex single-molecule RNA visualization using a dual-probe proximity ligation system
US11680253B2 (en) 2016-03-10 2023-06-20 The Board Of Trustees Of The Leland Stanford Junior University Transposase-mediated imaging of the accessible genome
WO2017164936A1 (en) 2016-03-21 2017-09-28 The Broad Institute, Inc. Methods for determining spatial and temporal gene expression dynamics in single cells
WO2017184984A1 (en) 2016-04-21 2017-10-26 Cell Data Sciences, Inc. Biomolecule processing from fixed biological samples
DK3452591T3 (en) 2016-05-02 2023-09-18 Encodia Inc MACROMOLECULAR ANALYSIS USING NUCLEIC ACID CODING
US10894990B2 (en) 2016-05-17 2021-01-19 Shoreline Biome, Llc High throughput method for identification and sequencing of unknown microbial and eukaryotic genomes from complex mixtures
EP4050112A1 (en) 2016-06-21 2022-08-31 10X Genomics, Inc. Nucleic acid sequencing
US10370698B2 (en) 2016-07-27 2019-08-06 The Board Of Trustees Of The Leland Stanford Junior University Highly-multiplexed fluorescent imaging
WO2018023068A1 (en) 2016-07-29 2018-02-01 New England Biolabs, Inc. Methods and compositions for preventing concatemerization during template- switching
CN109983125A (en) 2016-08-31 2019-07-05 哈佛学院董事及会员团体 The method for generating the nucleic acid sequence library for detecting by fluorescent in situ sequencing
CN109923216A (en) 2016-08-31 2019-06-21 哈佛学院董事及会员团体 By the detection combination of biomolecule to the method for the single test using fluorescent in situ sequencing
WO2018057999A1 (en) 2016-09-22 2018-03-29 William Marsh Rice University Molecular hybridization probes for complex sequence capture and analysis
CN110114520B (en) 2016-10-01 2023-08-08 伯克利之光生命科技公司 DNA barcode compositions and methods of in situ identification in microfluidic devices
US20190262831A1 (en) 2016-10-17 2019-08-29 Lociomics Corporation High resolution spatial genomic analysis of tissues and cell aggregates
EP4198140A1 (en) 2016-11-02 2023-06-21 ArcherDX, LLC Methods of nucleic acid sample preparation for immune repertoire sequencing
GB201619458D0 (en) 2016-11-17 2017-01-04 Spatial Transcriptomics Ab Method for spatial tagging and analysing nucleic acids in a biological specimen
AU2017370751B2 (en) 2016-12-09 2023-11-09 Ultivue, Inc. Improved methods for multiplex imaging using labeled nucleic acid imaging agents
US10550429B2 (en) 2016-12-22 2020-02-04 10X Genomics, Inc. Methods and systems for processing polynucleotides
US10011872B1 (en) 2016-12-22 2018-07-03 10X Genomics, Inc. Methods and systems for processing polynucleotides
US10995361B2 (en) 2017-01-23 2021-05-04 Massachusetts Institute Of Technology Multiplexed signal amplified FISH via splinted ligation amplification and sequencing
GB201701691D0 (en) 2017-02-01 2017-03-15 Illumina Inc System and method with reflective fiducials
US20180312822A1 (en) 2017-04-26 2018-11-01 10X Genomics, Inc. Mmlv reverse transcriptase variants
CA3063283A1 (en) 2017-05-17 2018-11-22 Microbio Pty Ltd Methods and agents for identifying or classifying microbes based on polymorphisms within ribosomal rna genes
US11180804B2 (en) 2017-07-25 2021-11-23 Massachusetts Institute Of Technology In situ ATAC sequencing
WO2019032760A1 (en) 2017-08-10 2019-02-14 Rootpath Genomics, Inc. Improved method to analyze nucleic acid contents from multiple biological particles
EP3668998A1 (en) 2017-10-06 2020-06-24 Cartana AB Rna templated ligation
WO2019075091A1 (en) 2017-10-11 2019-04-18 Expansion Technologies Multiplexed in situ hybridization of tissue sections for spatially resolved transcriptomics with expansion microscopy
AU2018375160A1 (en) 2017-11-29 2020-05-28 Xgenomes Corp. Sequencing of nucleic acids by emergence
EP3720605A1 (en) 2017-12-07 2020-10-14 Massachusetts Institute Of Technology Single cell analyses
WO2019126313A1 (en) 2017-12-22 2019-06-27 The University Of Chicago Multiplex 5mc marker barcode counting for methylation detection in cell-free dna
JP7296969B2 (en) 2018-01-12 2023-06-23 クラレット バイオサイエンス, エルエルシー Methods and compositions for analyzing nucleic acids
WO2019157529A1 (en) 2018-02-12 2019-08-15 10X Genomics, Inc. Methods characterizing multiple analytes from individual cells or cell populations
SG11202008080RA (en) 2018-02-22 2020-09-29 10X Genomics Inc Ligation mediated analysis of nucleic acids
WO2019213254A1 (en) 2018-05-02 2019-11-07 The General Hospital Corporation High-resolution spatial macromolecule abundance assessment
US11773441B2 (en) 2018-05-03 2023-10-03 Becton, Dickinson And Company High throughput multiomics sample analysis
US20190360043A1 (en) 2018-05-23 2019-11-28 Pacific Biosciences Of California, Inc. Enrichment of dna comprising target sequence of interest
CN108949924B (en) 2018-06-27 2021-10-08 中国科学院宁波工业技术研究院慈溪生物医学工程研究所 Fluorescence detection kit and fluorescence detection method for gene deletion mutation
EP3836967A4 (en) 2018-07-30 2022-06-15 ReadCoor, LLC Methods and systems for sample processing or analysis
WO2020047005A1 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Resolving spatial arrays
WO2020047010A2 (en) 2018-08-28 2020-03-05 10X Genomics, Inc. Increasing spatial array resolution
US20210324457A1 (en) 2018-08-28 2021-10-21 Eswar Prasad Ramachandran Iyer Methods for Generating Spatially Barcoded Arrays
TWI816881B (en) 2018-09-13 2023-10-01 大陸商恒翼生物醫藥(上海)股份有限公司 Combination therapy for the treatment of triple-negative breast cancer
US20220042090A1 (en) 2018-09-14 2022-02-10 Cold Spring Harbor Laboratory PROGRAMMABLE RNA-TEMPLATED SEQUENCING BY LIGATION (rSBL)
WO2020061066A1 (en) 2018-09-17 2020-03-26 Computer World Services Corp. dba LabSavvy Systems and methods for automated reporting and education for laboratory test results
EP3834401B1 (en) 2018-09-17 2023-04-05 Schneider Electric Systems USA, Inc. Industrial system event detection and corresponding response
WO2020061064A1 (en) 2018-09-17 2020-03-26 Piggy Llc Systems, methods, and computer programs for providing users maximum benefit in electronic commerce
EP3864173A4 (en) 2018-10-10 2022-07-20 Readcoor, LLC Surface capture of targets
FI3887540T3 (en) 2018-11-30 2023-09-14 Illumina Inc Analysis of multiple analytes using a single assay
WO2020123319A2 (en) 2018-12-10 2020-06-18 10X Genomics, Inc. Methods of using master / copy arrays for spatial detection
US20220049293A1 (en) 2018-12-10 2022-02-17 10X Genomics, Inc. Methods for determining a location of a biological analyte in a biological sample
US20210189475A1 (en) 2018-12-10 2021-06-24 10X Genomics, Inc. Imaging system hardware
US10633644B1 (en) 2018-12-20 2020-04-28 New England Biolabs, Inc. Proteinases with improved properties
SG11202102710SA (en) 2018-12-21 2021-04-29 Illumina Inc Nuclease-based rna depletion
US11649485B2 (en) 2019-01-06 2023-05-16 10X Genomics, Inc. Generating capture probes for spatial analysis
WO2020160044A1 (en) 2019-01-28 2020-08-06 The Broad Institute, Inc. In-situ spatial transcriptomics
WO2020176788A1 (en) 2019-02-28 2020-09-03 10X Genomics, Inc. Profiling of biological analytes with spatially barcoded oligonucleotide arrays
US20220145361A1 (en) 2019-03-15 2022-05-12 10X Genomics, Inc. Methods for using spatial arrays for single cell sequencing
WO2020190509A1 (en) 2019-03-15 2020-09-24 10X Genomics, Inc. Methods for using spatial arrays for single cell sequencing
WO2020198071A1 (en) 2019-03-22 2020-10-01 10X Genomics, Inc. Three-dimensional spatial analysis
US20220017951A1 (en) 2019-03-22 2022-01-20 10X Genomics, Inc. Three-dimensional spatial analysis
CN114174532A (en) 2019-04-05 2022-03-11 德克萨斯大学系统董事会 Method and application of cell barcode coding
WO2020219901A1 (en) 2019-04-26 2020-10-29 10X Genomics, Inc. Imaging support devices
US20200370095A1 (en) 2019-05-24 2020-11-26 Takara Bio Usa, Inc. Spatial Analysis
EP3976820A1 (en) 2019-05-30 2022-04-06 10X Genomics, Inc. Methods of detecting spatial heterogeneity of a biological sample
AU2020357801A1 (en) 2019-09-30 2022-04-14 Yale University Deterministic Barcoding for spatial omics sequencing
US20210140982A1 (en) 2019-10-18 2021-05-13 10X Genomics, Inc. Identification of spatial biomarkers of brain disorders and methods of using the same
WO2021092433A2 (en) 2019-11-08 2021-05-14 10X Genomics, Inc. Enhancing specificity of analyte binding
WO2021091611A1 (en) 2019-11-08 2021-05-14 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
US20230002812A1 (en) 2019-11-13 2023-01-05 10X Genomics, Inc. Generating capture probes for spatial analysis
US20210150707A1 (en) 2019-11-18 2021-05-20 10X Genomics, Inc. Systems and methods for binary tissue classification
US20210155982A1 (en) 2019-11-21 2021-05-27 10X Genomics, Inc. Pipeline for spatial analysis of analytes
EP4062372A1 (en) 2019-11-22 2022-09-28 10X Genomics, Inc. Systems and methods for spatial analysis of analytes using fiducial alignment
US20210199660A1 (en) 2019-11-22 2021-07-01 10X Genomics, Inc. Biomarkers of breast cancer
EP4073241A2 (en) 2019-12-11 2022-10-19 10X Genomics, Inc. Reverse transcriptase variants
SG11202106899SA (en) 2019-12-23 2021-09-29 10X Genomics Inc Methods for spatial analysis using rna-templated ligation
US20210198741A1 (en) 2019-12-30 2021-07-01 10X Genomics, Inc. Identification of spatial biomarkers of heart disorders and methods of using the same
EP4087945B1 (en) 2020-01-10 2024-03-06 10X Genomics, Inc. Methods for determining a location of a target nucleic acid in a biological sample
US20210214785A1 (en) 2020-01-13 2021-07-15 Spatial Transcriptomics Ab Methods of decreasing background on a spatial array
US20210223227A1 (en) 2020-01-17 2021-07-22 Spatial Transcriptomics Ab Electrophoretic system and method for analyte capture
US20210222253A1 (en) 2020-01-21 2021-07-22 10X Genomics, Inc. Identification of biomarkers of glioblastoma and methods of using the same
US11732299B2 (en) 2020-01-21 2023-08-22 10X Genomics, Inc. Spatial assays with perturbed cells
US11702693B2 (en) 2020-01-21 2023-07-18 10X Genomics, Inc. Methods for printing cells and generating arrays of barcoded cells
US20210230681A1 (en) 2020-01-24 2021-07-29 10X Genomics, Inc. Methods for spatial analysis using proximity ligation
US11898205B2 (en) 2020-02-03 2024-02-13 10X Genomics, Inc. Increasing capture efficiency of spatial assays
US20210238664A1 (en) 2020-02-03 2021-08-05 10X Genomics, Inc. Methods for preparing high-resolution spatial arrays
US11732300B2 (en) 2020-02-05 2023-08-22 10X Genomics, Inc. Increasing efficiency of spatial analysis in a biological sample
US11835462B2 (en) 2020-02-11 2023-12-05 10X Genomics, Inc. Methods and compositions for partitioning a biological sample
US20230081381A1 (en) 2020-02-20 2023-03-16 10X Genomics, Inc. METHODS TO COMBINE FIRST AND SECOND STRAND cDNA SYNTHESIS FOR SPATIAL ANALYSIS
AU2021224760A1 (en) 2020-02-21 2022-09-15 10X Genomics, Inc. Capturing genetic targets using a hybridization approach
JP2023514749A (en) 2020-02-21 2023-04-07 10エックス ジェノミクス インコーポレイテッド Methods and compositions for integrated in situ spatial assays
US11891654B2 (en) 2020-02-24 2024-02-06 10X Genomics, Inc. Methods of making gene expression libraries
EP4242325A3 (en) 2020-04-22 2023-10-04 10X Genomics, Inc. Methods for spatial analysis using targeted rna depletion
US20230265491A1 (en) 2020-05-04 2023-08-24 10X Genomics, Inc. Spatial transcriptomic transfer modes
US20230194469A1 (en) 2020-05-19 2023-06-22 10X Genomics, Inc. Electrophoresis cassettes and instrumentation
WO2021237056A1 (en) 2020-05-22 2021-11-25 10X Genomics, Inc. Rna integrity analysis in a biological sample
WO2021236929A1 (en) 2020-05-22 2021-11-25 10X Genomics, Inc. Simultaneous spatio-temporal measurement of gene expression and cellular activity
WO2021237087A1 (en) 2020-05-22 2021-11-25 10X Genomics, Inc. Spatial analysis to detect sequence variants
EP4158054A1 (en) 2020-06-02 2023-04-05 10X Genomics, Inc. Spatial transcriptomics for antigen-receptors
WO2021247543A2 (en) 2020-06-02 2021-12-09 10X Genomics, Inc. Nucleic acid library methods
WO2021252499A1 (en) 2020-06-08 2021-12-16 10X Genomics, Inc. Methods of determining a surgical margin and methods of use thereof
WO2021252591A1 (en) 2020-06-10 2021-12-16 10X Genomics, Inc. Methods for determining a location of an analyte in a biological sample
WO2021252576A1 (en) 2020-06-10 2021-12-16 10X Genomics, Inc. Methods for spatial analysis using blocker oligonucleotides
CN116034166A (en) 2020-06-25 2023-04-28 10X基因组学有限公司 Spatial analysis of DNA methylation
WO2022025965A1 (en) 2020-07-31 2022-02-03 10X Genomics, Inc. De-crosslinking compounds and methods of use for spatial analysis
WO2022060798A1 (en) 2020-09-15 2022-03-24 10X Genomics, Inc. Methods of releasing an extended capture probe from a substrate and uses of the same
CN116507739A (en) 2020-09-16 2023-07-28 10X基因组学有限公司 Method for determining the location of an analyte in a biological sample using a plurality of wells
AU2021366701A1 (en) 2020-10-22 2023-05-04 10X Genomics, Inc. Methods for spatial analysis using rolling circle amplification
CN116829733A (en) 2020-11-06 2023-09-29 10X基因组学有限公司 Compositions and methods for binding analytes to capture probes
US20230407404A1 (en) 2020-11-18 2023-12-21 10X Genomics, Inc. Methods and compositions for analyzing immune infiltration in cancer stroma to predict clinical outcome
AU2021409136A1 (en) 2020-12-21 2023-06-29 10X Genomics, Inc. Methods, compositions, and systems for capturing probes and/or barcodes
US20240076723A1 (en) 2020-12-30 2024-03-07 10X Genomics, Inc. Cleavage of capture probes for spatial analysis
WO2022147005A1 (en) 2020-12-30 2022-07-07 10X Genomics, Inc. Methods for analyte capture determination

Cited By (41)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11761030B2 (en) 2010-04-05 2023-09-19 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11866770B2 (en) 2010-04-05 2024-01-09 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11732292B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays correlating target nucleic acid to tissue section location
US11733238B2 (en) 2010-04-05 2023-08-22 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11767550B2 (en) 2010-04-05 2023-09-26 Prognosys Biosciences, Inc. Spatially encoded biological assays
US11795498B2 (en) 2011-04-13 2023-10-24 10X Genomics Sweden Ab Methods of detecting analytes
US11788122B2 (en) 2011-04-13 2023-10-17 10X Genomics Sweden Ab Methods of detecting analytes
US11821024B2 (en) 2013-06-25 2023-11-21 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11753674B2 (en) 2013-06-25 2023-09-12 Prognosys Biosciences, Inc. Methods and systems for determining spatial patterns of biological targets in a sample
US11739372B2 (en) 2015-04-10 2023-08-29 Spatial Transcriptomics Ab Spatially distinguished, multiplex nucleic acid analysis of biological specimens
US11753675B2 (en) 2019-01-06 2023-09-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11926867B2 (en) 2019-01-06 2024-03-12 10X Genomics, Inc. Generating capture probes for spatial analysis
US11965213B2 (en) 2019-05-30 2024-04-23 10X Genomics, Inc. Methods of detecting spatial heterogeneity of a biological sample
US11702698B2 (en) 2019-11-08 2023-07-18 10X Genomics, Inc. Enhancing specificity of analyte binding
US11808769B2 (en) 2019-11-08 2023-11-07 10X Genomics, Inc. Spatially-tagged analyte capture agents for analyte multiplexing
US11795507B2 (en) 2019-12-23 2023-10-24 10X Genomics, Inc. Methods for spatial analysis using RNA-templated ligation
US11702693B2 (en) 2020-01-21 2023-07-18 10X Genomics, Inc. Methods for printing cells and generating arrays of barcoded cells
US11732299B2 (en) 2020-01-21 2023-08-22 10X Genomics, Inc. Spatial assays with perturbed cells
US11821035B1 (en) 2020-01-29 2023-11-21 10X Genomics, Inc. Compositions and methods of making gene expression libraries
US11898205B2 (en) 2020-02-03 2024-02-13 10X Genomics, Inc. Increasing capture efficiency of spatial assays
US11732300B2 (en) 2020-02-05 2023-08-22 10X Genomics, Inc. Increasing efficiency of spatial analysis in a biological sample
US11835462B2 (en) 2020-02-11 2023-12-05 10X Genomics, Inc. Methods and compositions for partitioning a biological sample
US11891654B2 (en) 2020-02-24 2024-02-06 10X Genomics, Inc. Methods of making gene expression libraries
US11926863B1 (en) 2020-02-27 2024-03-12 10X Genomics, Inc. Solid state single cell method for analyzing fixed biological cells
US11773433B2 (en) 2020-04-22 2023-10-03 10X Genomics, Inc. Methods for spatial analysis using targeted RNA depletion
US11866767B2 (en) 2020-05-22 2024-01-09 10X Genomics, Inc. Simultaneous spatio-temporal measurement of gene expression and cellular activity
US11959130B2 (en) 2020-05-22 2024-04-16 10X Genomics, Inc. Spatial analysis to detect sequence variants
US11840687B2 (en) 2020-06-02 2023-12-12 10X Genomics, Inc. Nucleic acid library methods
US11859178B2 (en) 2020-06-02 2024-01-02 10X Genomics, Inc. Nucleic acid library methods
US11845979B2 (en) 2020-06-02 2023-12-19 10X Genomics, Inc. Spatial transcriptomics for antigen-receptors
US11781130B2 (en) 2020-06-08 2023-10-10 10X Genomics, Inc. Methods of determining a surgical margin and methods of use thereof
US11761038B1 (en) 2020-07-06 2023-09-19 10X Genomics, Inc. Methods for identifying a location of an RNA in a biological sample
US11952627B2 (en) 2020-07-06 2024-04-09 10X Genomics, Inc. Methods for identifying a location of an RNA in a biological sample
US11926822B1 (en) 2020-09-23 2024-03-12 10X Genomics, Inc. Three-dimensional spatial analysis
US11827935B1 (en) 2020-11-19 2023-11-28 10X Genomics, Inc. Methods for spatial analysis using rolling circle amplification and detection probes
US11873482B2 (en) 2020-12-21 2024-01-16 10X Genomics, Inc. Methods, compositions, and systems for spatial analysis of analytes in a biological sample
US11959076B2 (en) 2020-12-21 2024-04-16 10X Genomics, Inc. Methods, compositions, and systems for capturing probes and/or barcodes
US11739381B2 (en) 2021-03-18 2023-08-29 10X Genomics, Inc. Multiplex capture of gene and protein expression from a biological sample
US11840724B2 (en) 2021-09-01 2023-12-12 10X Genomics, Inc. Methods, compositions, and kits for blocking a capture probe on a spatial array
US11753673B2 (en) 2021-09-01 2023-09-12 10X Genomics, Inc. Methods, compositions, and kits for blocking a capture probe on a spatial array
US11970739B2 (en) 2023-07-06 2024-04-30 10X Genomics, Inc. Multiplex capture of gene and protein expression from a biological sample

Also Published As

Publication number Publication date
WO2021242834A1 (en) 2021-12-02
US11560592B2 (en) 2023-01-24
US20220098661A1 (en) 2022-03-31

Similar Documents

Publication Publication Date Title
US11560592B2 (en) Method for resetting an array
US20230042817A1 (en) Analyte capture from an embedded biological sample
US20230220454A1 (en) Methods of releasing an extended capture probe from a substrate and uses of the same
US11840724B2 (en) Methods, compositions, and kits for blocking a capture probe on a spatial array
US20230034039A1 (en) Methods of preserving a biological sample
US11434524B2 (en) Methods for determining a location of an analyte in a biological sample
US20230332212A1 (en) Compositions and methods for binding an analyte to a capture probe
US20230313279A1 (en) Methods of determining the location of an analyte in a biological sample using a plurality of wells
US20230034216A1 (en) Multiplexed spatial capture of analytes
US20230081381A1 (en) METHODS TO COMBINE FIRST AND SECOND STRAND cDNA SYNTHESIS FOR SPATIAL ANALYSIS
US11761038B1 (en) Methods for identifying a location of an RNA in a biological sample
US11739381B2 (en) Multiplex capture of gene and protein expression from a biological sample
US20240068017A1 (en) Methods for analyte capture determination
EP4320271A1 (en) Methods for increasing resolution of spatial analysis
US11821035B1 (en) Compositions and methods of making gene expression libraries
US11970739B2 (en) Multiplex capture of gene and protein expression from a biological sample
WO2024081212A1 (en) In vitro transcription of spatially captured nucleic acids
WO2024035844A1 (en) Methods for reducing capture of analytes

Legal Events

Date Code Title Description
STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

AS Assignment

Owner name: 10X GENOMICS, INC., CALIFORNIA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:CHEW, JENNIFER;BENT, ZACHARY;GONZALEZ LOZANO, ALVARO J;SIGNING DATES FROM 20210604 TO 20210607;REEL/FRAME:062689/0127