KR20180003919A - Biomarker for predicting apoptosis of mesenchymal stromal cells and uses thereof - Google Patents

Biomarker for predicting apoptosis of mesenchymal stromal cells and uses thereof Download PDF

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KR20180003919A
KR20180003919A KR1020160083705A KR20160083705A KR20180003919A KR 20180003919 A KR20180003919 A KR 20180003919A KR 1020160083705 A KR1020160083705 A KR 1020160083705A KR 20160083705 A KR20160083705 A KR 20160083705A KR 20180003919 A KR20180003919 A KR 20180003919A
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김용구
김명신
권아름
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가톨릭대학교 산학협력단
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Abstract

The present invention relates to a method for providing information necessary for predicting apoptosis of mesenchymal stem cells by measuring the expression level of CDKN2A gene in mesenchymal stem cells, and to compositions and kits used therefor.

Description

줄기세포 사멸 예측 마커 및 이의 용도{Biomarker for predicting apoptosis of mesenchymal stromal cells and uses thereof}≪ Desc / Clms Page number 2 > Biomarker for predicting apoptosis of mesenchymal stromal cells and uses thereof.

본 발명은 중간엽줄기세포에서 CDKN2A(cyclin-dependent kinase inhibitor 2A) 유전자의 발현 수준을 측정함으로써 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법, 및 이에 사용되는 조성물 및 키트에 관한 것이다.The present invention relates to a method for providing information necessary for predicting apoptosis of mesenchymal stem cells by measuring the expression level of CDKN2A (cyclin-dependent kinase inhibitor 2A) gene in mesenchymal stem cells, and a composition and a kit used therefor .

중간엽줄기세포(Mesenchymal stromal cells, MSCs)는 자가재생능, 면역조절능 및 중배엽 계열로의 분화능을 가진다. 최근, 중간엽줄기세포는 재생 의학 분야, 즉, 인간의 세포와 조직 또는 장기를 대체하거나 재생시켜서 원래의 기능을 할 수 있도록 복원시키는 의학 분야에서 중요한 자원으로 인식되고 있다. 중간엽줄기세포는 골수, 폐, 지방, 간, 제대혈, 양수 및 태반 등 다양한 조직에서 수득할 수 있다.Mesenchymal stromal cells (MSCs) have self-renewal ability, immunoregulatory ability and ability to differentiate into mesodermal lineage. Recently, mesenchymal stem cells have been recognized as important resources in the field of regenerative medicine, that is, medical fields that restore or restore original functions by replacing or regenerating human cells and tissues or organs. Mesenchymal stem cells can be obtained from various tissues such as bone marrow, lung, fat, liver, umbilical cord blood, amniotic fluid and placenta.

중간엽줄기세포는 양막(amnion), 융모막(chorion) 및 탯줄(umbilical cord) 등의 출산 후 조직에서도 수득할 수 있는데, 이들 조직은 출산 후 폐기되는 조직으로 윤리적 문제 없이 연구 및 임상적 응용이 가능하며, 비교적 큰 사이즈로 제공되므로 다량의 중간엽줄기세포의 공급원으로 유용하다. 그러나, 이들 조직에서 유래한 중간엽줄기세포의 특성들에 대해서는 충분히 연구되지 않은 상태이므로, 임상적 활용을 위해서는 보다 많은 연구가 이루어질 필요가 있다.Mesenchymal stem cells can also be obtained in postnatal tissues such as amnion, chorion, and umbilical cord. These tissues are tissues that are discarded after birth, allowing research and clinical application without ethical problems And it is useful as a source of a large amount of mesenchymal stem cells since it is provided in a relatively large size. However, since the characteristics of mesenchymal stem cells derived from these tissues have not been sufficiently studied, further studies are required for clinical application.

본 발명자들은, 양막, 융모막 및 탯줄 유래의 중간엽줄기세포의 특성에 대하여 연구하던 중, 이들의 유전자 발현 분석 결과로부터 중간엽줄기세포의 세포사멸을 예측 또는 감별할 수 있는 마커를 선별 및 확인하여 본 발명을 완성하게 되었다.The present inventors investigated the characteristics of mesenchymal stem cells derived from amniotic membrane, chorioamnion and umbilical cord. From the result of gene expression analysis, the present inventors selected and identified markers capable of predicting or discriminating the cell death of mesenchymal stem cells Thereby completing the present invention.

국내특허공개 10-2016-0013214호 (2016. 2. 3.)Korean Patent Laid-open Publication No. 10-2016-0013214 (February 3, 2016)

본 발명은 중간엽줄기세포의 세포사멸 예측 마커로서의 CDKN2A(cyclin-dependent kinase inhibitor 2A)의 용도를 제공하고자 한다.The present invention provides the use of CDKN2A (cyclin-dependent kinase inhibitor 2A) as a cell death prediction marker of mesenchymal stem cells.

이에, 본 발명의 하나의 목적은 중간엽줄기세포에서 CDKN2A 유전자의 발현 수준을 측정하는 단계를 포함하는, 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법을 제공하는 것이다.Accordingly, one object of the present invention is to provide a method for providing information necessary for predicting apoptosis of mesenchymal stem cells, which comprises measuring the expression level of CDKN2A gene in mesenchymal stem cells.

본 발명의 다른 목적은 CDKN2A유전자의 발현 수준을 측정하는 물질을 포함하는, 중간엽줄기세포의 세포사멸 예측용 조성물을 제공하는 것이다.Another object of the present invention is to provide a composition for predicting apoptosis of mesenchymal stem cells, which comprises a substance for measuring the expression level of the CDKN2A gene.

본 발명의 다른 목적은 상기 조성물을 포함하는, 중간엽줄기세포의 세포사멸 예측용 키트를 제공하는 것이다.Another object of the present invention is to provide a kit for predicting apoptosis of mesenchymal stem cells, which comprises the above composition.

양막(amnion), 융모막(chorion) 및 탯줄(umbilical cord) 등의 출산 후 조직은 중간엽줄기세포(mesenchymal stromal cells)의 풍부한 공급원이 될 수 있고 윤리적 문제에서 자유로울 수 있는 장점이 있으나, 아직 이들로부터 유래한 중간엽줄기세포의 특성이 자세히 밝혀지지 않았다. 본 발명자들은 양막 유래 중간엽줄기세포(AMSCs), 융모막 유래 중간엽줄기세포(CMSCs) 및 탯줄 유래 중간엽줄기세포(UC-MSCs)를 각각 분리 및 배양하는 데 성공하였고, 이들 중간엽줄기세포들은 증식능이 서로 다르며, 양막 유래 중간엽줄기세포(AMSCs) 가 증가된 annexin V 수준 및 노화 관련한 베타-갈락토시다아제(SA-β-gal) 양성 세포로 인하여 가장 낮은 증식율을 보인다는 것을 확인하였다. 이에, 본 발명자들은 유전자 발현 분석을 통해 이들 조직에서의 유전자 발현 특성을 조사하였고, 그 결과 양막 유래 중간엽줄기세포에서 CDKN2A 유전자를 포함한 세포사멸 및 노화 관련 유전자들의 발현이 증가되어 있는 것을 확인하였다. 또한, 정량적 PCR(quantitative PCR)을 통하여 유전자 발현 정도를 확인하였으며, 중간엽줄기세포의 세포사멸을 예측 또는 감별할 수 있는 마커로 CDKN2A을 최종적으로 선별하였다.Postnatal tissues such as amnion, chorion and umbilical cord can be an abundant source of mesenchymal stromal cells and are free from ethical issues, The characteristics of the resulting mesenchymal stem cells have not been elucidated. The present inventors succeeded in isolating and culturing amnion-derived mesenchymal stem cells (AMSCs), chorionic villus-derived mesenchymal stem cells (CMSCs) and umbilical cord-derived mesenchymal stem cells (UC-MSCs) (AMSCs) showed the lowest proliferation rate due to increased annexin V level and aging-related beta-galactosidase (SA-β-gal) positive cells. Thus, the inventors investigated gene expression characteristics in these tissues through gene expression analysis. As a result, it was confirmed that expression of genes related to apoptosis and senescence including CDKN2A gene is increased in amnion-derived mesenchymal stem cells. In addition, quantitative PCR (quantitative PCR) confirmed the level of gene expression and CDKN2A was finally selected as a marker for predicting or differentiating the cell death of mesenchymal stem cells.

따라서, CDKN2A의 발현 수준을 측정함으로써, 중간엽줄기세포의 세포사멸을 예측 또는 감별할 수 있으며, 이를 통하여 특정 질환에 적용하기에 보다 적합한 중간엽줄기세포를 선별하여 질환 치료에 사용할 수 있다. Therefore, by measuring the expression level of CDKN2A, it is possible to predict or discriminate the apoptosis of mesenchymal stem cells. Thus, mesenchymal stem cells suitable for application to a specific disease can be selected and used for treating diseases.

일 양태로, 본 발명은 CDKN2A유전자의 발현 수준을 측정하는 물질을 포함하는, 중간엽줄기세포의 세포사멸 예측용 조성물을 제공한다.In one aspect, the present invention provides a composition for predicting apoptosis of mesenchymal stem cells, comprising a substance that measures the level of expression of the CDKN2A gene.

다른 양태로, 본 발명은 상기 조성물을 포함하는, 중간엽줄기세포의 세포사멸 예측용 키트를 제공한다.In another aspect, the present invention provides a kit for predicting apoptosis of mesenchymal stem cells comprising the above composition.

본 발명의 일례에 따르면, 상기 유전자의 발현 수준을 측정하는 물질은 상기 유전자가 전사하는 mRNA, 상기 유전자가 암호화하는 단백질, 또는 양자 모두의 존재 여부, 존재량 및 존재 패턴 중에서 어느 하나 이상을 검출하는 물질인 것을 특징으로 한다.According to one embodiment of the present invention, the substance for measuring the expression level of the gene is one that detects at least one of the presence, abundance, and presence pattern of the mRNA transcribed by the gene, the protein encoded by the gene, .

본 발명의 일례에 따르면, 상기 유전자의 발현 수준을 측정하는 물질은 상기 유전자의 뉴클레오티드 서열, 그에 상보적인 서열, 상기 뉴클레오티드의 단편 및 그에 상보적인 서열로 이루어진 군에서 선택된 어느 하나 이상에 특이적으로 결합하는 프라이머, 프로브, 앱타머 및 안티센스 올리고뉴클레오티드 중 어느 하나 이상인 것을 특징으로 한다.According to an embodiment of the present invention, the substance for measuring the expression level of the gene may be specifically bound to any one or more selected from the group consisting of a nucleotide sequence of the gene, a complementary sequence thereof, a fragment of the nucleotide and a complementary sequence thereof A primer, a probe, an aptamer, and an antisense oligonucleotide.

본 발명의 일례에 따르면, 상기 유전자의 발현 수준을 측정하는 물질은 상기 뉴클레오티드 서열에 코딩되는 폴리펩타이드, 상기 상보적인 서열에 코딩되는 폴리펩타이드, 상기 뉴클레오티드 서열의 단편에 코딩되는 폴리펩타이드 중 어느 하나 이상에 특이적으로 결합하는 올리고펩타이드, 모노클로날 항체, 폴리클로날 항체, 키메릭(chimeric) 항체, 항체단편, 리간드, PNA(Peptide nucleic acid), 앱타머(aptamer), 아비머(avidity multimer) 및 펩티도모방체(peptidomimetics) 중에서 선택된 어느 하나 이상인 것을 특징으로 한다.According to an embodiment of the present invention, the substance for measuring the expression level of the gene may be any one or more of a polypeptide encoded by the nucleotide sequence, a polypeptide encoded by the complementary sequence, and a polypeptide encoded by a fragment of the nucleotide sequence An antibody fragment, a ligand, a peptide nucleic acid (PNA), an aptamer, an avidity multimer, or an oligonucleotide that specifically binds to an antigen, And peptidomimetics. The term " peptidomimetics "

본 발명의 일례에 따르면, 상기 유전자의 발현 수준을 측정하는 물질은 CDKN2A 유전자가 암호화하는 단백질 및 상기 유전자가 전사하는 전령 RNA(mRNA)의 결합체의 존재 여부, 존재량 및 존재 패턴 중에서 어느 하나 이상을 검출하는 물질인 것을 특징으로 한다.According to an embodiment of the present invention, the substance for measuring the expression level of the gene may be any one or more selected from the group consisting of the presence or absence and existence pattern of a protein encoded by the CDKN2A gene and a messenger RNA (mRNA) And the like.

본 발명의 일례에 따르면, 상기 유전자의 발현 수준을 측정하는 물질은 역전사 중합효소연쇄반응, 경쟁적 중합효소 연쇄반응, 실시간 중합효소 연쇄반응, Nuclease 보호 분석(RNase, S1 nuclease assay), in situ 교잡법, DNA 마이크로어레이 이용법, 노던 블랏, 웨스턴 블랏, ELISA(Enzyme Linked Immuno Sorbent Assay), 방사선 면역분석법, 면역 확산법, 면역 전기영동, 조직 면역염색, 면역침전 분석법, 보체 고정 분석법, FACS, 질량분석법(Mass spectrometry) 및 단백질 마이크로어레이 이용법 중에서 어느 하나 이상의 방법으로 유전자 발현을 측정하는 검출시약인 것을 특징으로 한다.According to an embodiment of the present invention, the substance for measuring the expression level of the gene may be selected from the group consisting of a reverse transcription polymerase chain reaction, a competitive polymerase chain reaction, a real-time polymerase chain reaction, an Nuclease protection assay (RNase, S1 nuclease assay) , DNA microarray method, Northern blot, Western blot, ELISA, radioimmunoassay, immunodiffusion, immunoelectrophoresis, tissue immuno staining, immunoprecipitation assay, complement fixation assay, FACS, mass spectrometry (Mass spectrometry, and protein microarray. The present invention is a detection reagent for measuring gene expression using any one or more of the following methods.

본 발명의 일례에 따르면, 상기 중간엽줄기세포는 양막, 융모막 또는 탯줄에서 분리한 중간엽줄기세포일 수 있다.According to an embodiment of the present invention, the mesenchymal stem cells may be mesenchymal stem cells isolated from amniotic membrane, chorionic villus or umbilical cord.

본 발명의 일례에 따르면, 상기 키트는 마이크로 어레이, 유전자 증폭 키트, 면역분석(immunoassay)용 키트, 루미넥스 분석 키트, 단백질 마이크로어레이 키트 및 ELISA 키트 중에서 선택된 어느 하나 이상인 것을 특징으로 한다.According to an embodiment of the present invention, the kit is characterized in that the kit is any one or more selected from a microarray, a gene amplification kit, an immunoassay kit, a luminex assay kit, a protein microarray kit, and an ELISA kit.

다른 양태로, 본 발명은 중간엽줄기세포에서 CDKN2A 유전자의 발현 수준을 측정하는 단계를 포함하는, 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법을 제공한다.In another aspect, the present invention provides a method for providing information necessary for predicting apoptosis of mesenchymal stem cells, which comprises measuring the expression level of CDKN2A gene in mesenchymal stem cells.

본 발명의 일례에 따르면, 상기 방법은 중간엽줄기세포 시료로부터 CDKN2A 유전자의 발현 수준을 측정하는 단계, 및 상기 CDKN2A 유전자의 발현수준이 임계값(cut-off)보다 높을 경우 중간엽줄기세포의 세포사멸 가능성이 있다고 예측하는 단계를 포함할 수 있다.According to an embodiment of the present invention, the method comprises the steps of measuring the expression level of the CDKN2A gene from a mesenchymal stem cell sample, and measuring the expression level of the CDKN2A gene when the expression level of the CDKN2A gene is higher than a cut- And predicting that there is a possibility of death.

본 발명의 일례에 따르면, 상기 중간엽줄기세포는 양막, 융모막 또는 탯줄에서 분리한 중간엽줄기세포일 수 있다.According to an embodiment of the present invention, the mesenchymal stem cells may be mesenchymal stem cells isolated from amniotic membrane, chorionic villus or umbilical cord.

본 발명의 일례에 따르면, 상기 유전자의 발현 수준의 측정은 상기 유전자에 특이적인 프라이머, 프로브 또는 안티센스 올리고뉴클레오티드를 이용하여 수행될 수 있다.According to one example of the present invention, measurement of the expression level of the gene can be performed using a primer, a probe, or an antisense oligonucleotide specific to the gene.

본 발명의 일례에 따르면, 상기 유전자의 발현 수준의 측정은 역전사 중합효소연쇄반응, 경쟁적 중합효소 연쇄반응, 실시간 중합효소 연쇄반응, Nuclease 보호 분석(RNase, S1 nuclease assay), in situ 교잡법, DNA 마이크로어레이 이용법, 노던 블랏, 웨스턴 블랏, ELISA(Enzyme Linked Immuno Sorbent Assay), 방사선 면역분석법, 면역 확산법, 면역 전기영동, 조직 면역염색, 면역침전 분석법, 보체 고정 분석법, FACS, 질량분석법(Mass spectrometry) 및 단백질 마이크로어레이 이용법 중에서 선택되는 방법으로 수행될 수 있다.According to an embodiment of the present invention, the expression level of the gene may be measured by a reverse transcription polymerase chain reaction, competitive polymerase chain reaction, real-time PCR, Nuclease protection assay (RNase, S1 nuclease assay) Immunoprecipitation, Immunoelectrophoresis, Immunoprecipitation, Immunoprecipitation, Complement fixation, FACS, Mass spectrometry, Immunoprecipitation, Immunoprecipitation, Immunoprecipitation, ELISA, Enzyme Linked Immuno Sorbent Assay And protein microarray utilization.

본 발명의 일례에 따르면, 상기 임계값(cut-off)은 0.1 일수 있다.According to an example of the present invention, the cut-off may be 0.1.

본 발명은 CDKN2A의 발현 수준을 측정함으로써, 중간엽줄기세포의 세포사멸을 예측 또는 감별할 수 있으며, 이를 통하여 특정 질환에 적용하기에 보다 적합한 중간엽줄기세포를 선별하여 질환 치료에 사용할 수 있다.The present invention can predict or discriminate the apoptosis of mesenchymal stem cells by measuring the expression level of CDKN2A. Thus, mesenchymal stem cells suitable for application to a specific disease can be selected and used for treating diseases.

도 1a는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)의 계대배양 횟수에 따른 세포 모양, 증식정도 및 노화 관련한 베타-갈락토시다아제(SA-β-gal) 활성을 나타낸 것이다.
도 1b는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)에서 계대배양 동안 PDT(population doubling time) 값의 변화를 나타낸 그래프이다.
도 1c는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)에서 annexin V 양성 세포의 비율을 나타낸 그래프이다.
도 1d는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)에서 노화 관련한 베타-갈락토시다아제(SA-β-gal)의 비율을 나타낸 그래프이다.
도 1e는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC), 탯줄 중간엽줄기세포(UC-MSC) 및 골수 중간엽줄기세포(BM-MSCs)의 지방세포분화, 연골세포분화 및 골세포 분화능을 확인한 결과이다.
도 2a는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)에서 줄기세포 관련 마커 분자들의 mRNA 발현 수준을 RT-PCR을 통해 확인한 결과를 나타낸다.
도 2b는 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)에서 유전자 발현에 대한 클러스터링 분석 결과를 나타낸다.
도 3은 양막 중간엽줄기세포(AMSC), 융모막 중간엽줄기세포(CMSC) 및 탯줄 중간엽줄기세포(UC-MSC)에서 유전자 발현 분석 결과를 나타낸 것이다.
도 4는 CDKN2A 유전자의 발현이 놓을 때 세포에서 세포사멸(apoptosis)이 일어나는 것을 확인한 결과이다.
도 5는 CDKN2A 유전자의 발현이 놓을 때 세포에서 세포사멸(apoptosis)이 일어나는 것을 SA-β-Gal를 실시하여 푸슨색으로 염색된 세포의 위상차를 현미경으로 분석한 결과이다.
도 6은 CDKN2A 유전자의 임계값 0.1 에서의 ROC 곡선을 나타낸다.
FIG. 1A shows the cell shape, proliferation, and aging-related beta-galactosidase activity of amniotic membrane mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC) and umbilical mesenchymal stem cell (UC-MSC) (SA-β-gal) activity.
FIG. 1B is a graph showing a change in PDT (population doubling time) value during subculture in amniotic mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC), and umbilical mesenchymal stem cell (UC-MSC).
1C is a graph showing the proportion of annexin V-positive cells in amniotic mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC) and umbilical mesenchymal stem cell (UC-MSC) cells.
Figure 1d shows the ratio of senescence-related beta-galactosidase (SA-beta-gal) in amniotic mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC) and umbilical mesenchymal stem cell (UC- Fig.
FIG. 1E shows adipocyte differentiation of amniotic mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC), umbilical mesenchymal stem cell (UC-MSC) and bone marrow mesenchymal stem cell (BM-MSCs) And bone cell differentiation ability.
FIG. 2A shows the results of RT-PCR analysis of mRNA expression levels of stem cell-related marker molecules in amniotic membrane mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC) and umbilical mesenchymal stem cell (UC-MSC) .
FIG. 2b shows the results of clustering analysis of gene expression in amniotic mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC), and umbilical mesenchymal stem cell (UC-MSC).
FIG. 3 shows gene expression analysis results in amniotic membrane mesenchymal stem cell (AMSC), chorionic mesenchymal stem cell (CMSC) and umbilical mesenchymal stem cell (UC-MSC) cells.
FIG. 4 shows the results of confirming that apoptosis occurs in cells when the expression of CDKN2A gene is released.
FIG. 5 shows the results of microscopic analysis of the phase difference of the cells stained with fucose-stained cells by performing SA-β-Gal, in which cell apoptosis occurs when the expression of the CDKN2A gene is released.
Figure 6 shows the ROC curve at the threshold of 0.1 for the CDKN2A gene.

본 발명은 CDKN2A 유전자의 발현 수준을 측정하는 물질을 포함하는 중간엽줄기세포의 세포사멸 예측용 조성물, 중간엽줄기세포의 세포사멸 예측용 키트, 중간엽줄기세포의 세포사멸 예측 방법, 및 중간엽줄기세포의 세포사멸 예측용 바이오 마커 검출 방법을 제공한다. 이하 도면을 참조하여 본 발명을 구체적으로 설명한다.The present invention relates to a composition for predicting apoptosis of mesenchymal stem cells, a kit for predicting apoptosis of mesenchymal stem cells, a method for predicting apoptosis of mesenchymal stem cells, A method for detecting a biomarker for predicting apoptosis of a stem cell is provided. BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to the drawings.

본 발명에서 용어 "(바이오)마커, 예측하기 위한 마커 또는 예측 마커(diagnosis marker)"란 중간엽줄기세포의 세포사멸 가능성을 조기에 예측하여 선별할 수 있는 물질로, 중간엽줄기세포에서 특정 임계값 이상의 수치를 나타내는 폴리펩타이드 또는 핵산(예: mRNA 등), 지질, 당지질, 당단백질, 당(단당류, 이당류, 올리고당류 등) 등과 같은 유기 생체 분자 등을 포함한다. 본 발명의 목적상, 상기 중간엽줄기세포의 세포사멸 예측용 마커는 CDKN2A 유전자의 뉴클레오티드(그의 단편 포함) 또는 그에 코딩되는 단백질(그의 단편 포함) 로서, 중간엽줄기세포에서 특정 임계값 이상의 수치를 나타내는 유전자이다. 이러한 마커들은 어느 하나의 유전자에 대한 mRNA 또는 상기 유전자에 의해 코딩되는 어느 하나의 단백질을 사용할 수 있으며, 이들 마커들이 둘 이상 포함된 복합 마커일 수도 있다.In the present invention, the term "(bio) marker, marker for prediction or diagnosis marker" is a substance capable of early prediction and selection of the cell death probability of mesenchymal stem cells. (Monosaccharide, disaccharide, oligosaccharide, etc.) and the like, which exhibit a numerical value of more than a value, such as a nucleic acid (e.g., mRNA), a lipid, a glycolipid, a glycoprotein, For the purpose of the present invention, the marker for predicting apoptosis of mesenchymal stem cells is a nucleotide (including a fragment thereof) of the CDKN2A gene or a protein (including a fragment thereof) encoded thereby, Lt; / RTI > These markers may be mRNA for any gene or any protein encoded by the gene, or may be a complex marker containing two or more of these markers.

CDKN2A 유전자는 서열번호 1로 표시되는 염기서열로 이루어지는 것이고 이에 의하여 코딩되는 단백질의 아미노산 서열은 공지된 유전자 데이터베이스에서 그 서열 정보를 확인할 수 있다(예, NCBI Gene ID: 1029).The CDKN2A gene is composed of the nucleotide sequence shown in SEQ ID NO: 1, and the amino acid sequence of the protein encoded thereby can be found in a known gene database (e.g., NCBI Gene ID: 1029).

본 명세서에서 사용되는 "폴리펩타이드"(또는 단백질)는 해당 아미노산 서열에 대하여 실질적인 동일성을 나타내는 아미노산 서열을 포함하는 것으로 해석된다. 상기의 실질적인 동일성은 본 발명의 아미노산 서열과 임의의 다른 서열을 최대한 대응되도록 얼라인하고, 당업계에서 통상적으로 사용되는 알로리즘을 이용하여 얼라인된 서열을 분석한 경우에, 최소 60%의 상동성, 보다 바람직하게는 최소 80%의 상동성, 가장 바람직하게는 최소 90%의 상동성을 나타내는 아미노산 서열을 의미한다.As used herein, a "polypeptide" (or protein) is interpreted to include an amino acid sequence that exhibits substantial identity to the amino acid sequence of interest. The above-mentioned substantial identity is determined by aligning the amino acid sequence of the present invention with any other sequence as much as possible, and analyzing the aligned sequence using the algorithm commonly used in the art, at least 60% Homology, more preferably at least 80% homology, most preferably at least 90% homology.

예를 들어, 상기 폴리펩타이드는 기재된 특정의 아미노산 서열과 약 60% 이상, 80% 이상, 90% 이상, 95% 이상, 99% 이상, 99.1% 이상, 99.2% 이상, 99.3% 이상, 99.4% 이상, 99.5% 이상, 또는 99.9% 이상의 동일성을 갖는 아미노산 서열을 가지며 중간엽줄기세포의 세포사멸 예측의 바이오 마커 기능을 하는 폴리펩타이드를 포함한다. 일반적으로, 동일성 % 는 높을수록 더욱 바람직하다.For example, the polypeptide may comprise at least about 60%, at least 80%, at least 90%, at least 95%, at least 99%, at least 99.1%, at least 99.2%, at least 99.3%, at least 99.4% , 99.5% or more, or 99.9% or more identity with the amino acid sequence of SEQ ID NO: 1, and which functions as a biomarker of cell death prediction of mesenchymal stem cells. In general, the higher the percent identity, the more preferable.

또한 상기 동일성을 가지는 폴리펩타이드는 기재된 특정 아미노산 서열의 폴리펩타이드에서 1개 이상 아미노산 잔기가 결실, 치환, 삽입, 및/또는 첨가된 아미노산 서열을 포함하면서 베타-아디페이트 경로와 관련되는 폴리펩타이드를 포함한다. 일반적으로, 결실, 치환, 삽입, 및/또는 첨가의 수는 적을수록 더욱 바람직하다.Also, a polypeptide having the above identity includes a polypeptide associated with the beta-adipate pathway, including amino acid sequences in which one or more amino acid residues are deleted, substituted, inserted, and / or added in the polypeptide of the specified amino acid sequence described do. In general, the smaller the number of deletions, substitutions, insertions, and / or additions, the more preferable.

본 명세서에 사용되는 "폴리뉴클레오티드" (또는 뉴클레오티드, 핵산)는 DNA(gDNA 및 cDNA) 그리고 RNA 분자를 포괄적으로 포함하는 의미를 가지며, 핵산 분자에서 기본 구성 단위인 뉴클레오티드는 자연의 뉴클레오티드 뿐만 아니라, 당 또는 염기 부위가 변형된 유사체(analogues)도 포함한다.As used herein, the term "polynucleotide" (or nucleotide, nucleic acid) encompasses both DNA (gDNA and cDNA) and RNA molecules. The nucleotide, which is a basic unit in the nucleic acid molecule, Or analogues in which the base moiety is modified.

본 발명의 폴리뉴클레오티드는 상기 기재된 특정의 아미노산 서열(폴리펩타이드)을 암호화하는 핵산 분자에 제한되지 않고, 상기에서 서술한 것처럼 특정 아미노산 서열에 대하여 실질적인 동일성을 나타내는 아미노산 서열 또는 그에 상응하는 기능을 갖는 폴리펩타이드를 암호화하는 핵산 분자를 포함하는 것으로 해석된다. 상기의 실질적인 동일성은 본 발명의 아미노산 서열과 임의의 다른 서열을 최대한 대응되도록 얼라인하고, 당업계에서 통상적으로 사용되는 알고리즘을 이용하여 얼라인된 서열을 분석한 경우에, 최소 60%의 상동성, 보다 바람직하게는 최소 80%의 상동성, 가장 바람직하게는 최소 90%의 상동성을 나타내는 아미노산 서열을 의미한다.The polynucleotides of the present invention are not limited to nucleic acid molecules encoding the above-described specific amino acid sequence (polypeptide), but may be polynucleotides having an amino acid sequence exhibiting substantial identity to a specific amino acid sequence as described above or a poly Is interpreted to include nucleic acid molecules encoding the peptides. The above substantial identity is determined by aligning the amino acid sequence of the present invention with any other sequence to the greatest correspondence and analyzing the aligned sequence using algorithms commonly used in the art to obtain a homology of at least 60% , More preferably at least 80% homology, and most preferably at least 90% homology.

상기 상응하는 기능을 가진 폴리펩타이드는 예를 들어, 하나 이상의 아미노산이 결실, 치환, 삽입, 및/또는 첨가되는 아미노산 서열의 폴리펩타이드를 포함한다. 그러한 폴리펩타이드는 상기 상술한 것처럼 1개 이상의 아미노산 잔기가 결실, 치환, 삽입, 및/또는 첨가된 아미노산 서열로 이루어지며 3-하이드록시프로피온산 합성 관련되는 폴리펩타이드를 포함하며, 아미노산 잔기의 결실, 치환, 삽입, 및/또는 첨가의 수가 적은 것이 바람직하다. 또한, 상기 폴리펩타이드는 상기 상술한 것처럼 기재된 특정의 아미노산 서열과 약 60% 이상의 동일성을 갖는 아미노산 서열을 가지며 중간엽줄기세포의 세포사멸 예측의 바이오 마커 기능을 하는 폴리펩타이드를 포함하며, 동일성이 높을 수록 바람직하다.The polypeptide having the corresponding function includes, for example, a polypeptide having an amino acid sequence in which one or more amino acids are deleted, substituted, inserted, and / or added. Such a polypeptide comprises a polypeptide involved in the synthesis of 3-hydroxypropionic acid, wherein the polypeptide comprises an amino acid sequence in which one or more amino acid residues are deleted, substituted, inserted, and / or added, , The number of insertions and / or additions is preferably small. In addition, the polypeptide has an amino acid sequence having an identity of about 60% or more with the specific amino acid sequence described above, and includes a polypeptide having a biomarker function to predict cell death of mesenchymal stem cells, .

본 명세서에서 사용되는 용어 "상보적" 또는 "상보성"은 퓨린 및 피리미딘 뉴클레오티드가 수소 결합을 통해 결합하여 이중가닥 폴리뉴클레오티드를 형성하는 능력을 의미하며, 부분적으로 상보적인 경우도 포함한다. 하기 염기쌍이 상보성과 관련된다: 구아닌 및 시토신; 아데닌 및 티민; 및 아데닌 및 우라실. "상보적"은 상기 언급된 관계가 전장의 상기 분자에 걸쳐 2개의 싱글-스트랜드 폴리뉴클레오티드를 포함하는 모든 염기쌍에 실질적으로 적용된다. "부분적으로 상보적"은 2개의 싱글-스트랜드 폴리뉴클레오티드 중 하나의 길이가 짧기 때문에 그 분자들 중 하나의 일부가 싱글 스트랜드로 남아있는 것 관계를 의미한다.The term " complementary "or" complementarity ", as used herein, refers to the ability of purine and pyrimidine nucleotides to bind through hydrogen bonding to form double stranded polynucleotides, including partially complementary. The following base pairs are associated with complementarity: guanine and cytosine; Adenine and thymine; And adenine and uracil. "Complementary" applies substantially to all base pairs in which the above-mentioned relationship includes two single-stranded polynucleotides across the molecule of the full length. "Partially complementary" means that a portion of one of the molecules remains in a single strand because the length of one of the two single-stranded polynucleotides is short.

본 발명에서 발현 측정 또는 검출이란, 정량 및/또는 정성 분석을 포함하는 것으로, 존재, 부존재의 검출 및 발현량 검출을 포함하는 것으로 이러한 방법은 당업계에 공지되어 있으며, 당업자라면 본원의 실시를 위해 적절한 방법을 선택할 수 있을 것이다.The expression measurement or detection in the present invention includes quantitative and / or qualitative analysis, and includes detection of presence and absence and detection of the expression level. Such methods are well known in the art, and those skilled in the art will appreciate You will be able to choose the appropriate method.

본 발명에서 상기 유전자의 발현 수준을 측정하는 물질은 상기 유전자가 전사하는 mRNA, 상기 유전자가 암호화하는 단백질, 또는 양자 모두의 존재 여부, 존재량 및 존재 패턴 중에서 어느 하나 이상을 검출하는 물질일 수 있다.In the present invention, the substance for measuring the expression level of the gene may be a substance that detects at least one of the presence, abundance, and presence pattern of the mRNA transcribed by the gene, the protein encoded by the gene, or both .

본 발명은 상기 유전자를 핵산 수준 특히 mRNA 수준에서 정량적 및/또는 정성적 검출을 통해 중간엽줄기세포의 세포사멸 예측에 사용될 수 있다. 본 발명에서 상기 유전자의 발현 수준을 측정하는 물질은 상기 유전자의 뉴클레오티드 서열, 그에 상보적인 서열, 상기 뉴클레오티드의 단편 및 그에 상보적인 서열로 이루어진 군에서 선택된 어느 하나 이상에 특이적으로 결합하는 프라이머, 프로브, 앱타머 및 안티센스 올리고뉴클레오티드 중 어느 하나 이상일 수 있다.The present invention can be used to predict cell death of mesenchymal stem cells through quantitative and / or qualitative detection of the gene at the level of nucleic acid, particularly mRNA. In the present invention, the substance for measuring the expression level of the gene may be a primer that specifically binds to at least one selected from the group consisting of a nucleotide sequence of the gene, a complementary sequence thereof, a fragment of the nucleotide and a complementary sequence thereof, , An aptamer, and an antisense oligonucleotide.

일례로, 상기 유전자의 mRN의 존재 여부와 그 양 또는 패턴을 RT-PCR로 측정하기 위하여, 상기 유전자의 mRNA에 특이적인 프로브 및/또는 프라이머쌍를 포함한다. 프라이머 또는 프로브는 주형과 상보적으로 결합할 수 있고 역전사효소 또는 DNA 중합효소가 주형의 복제를 개시할 수 있도록 하는 자유 3말단 수산화기(free 3' hydroxyl group)를 가지는 핵산 서열을 의미한다. 본원에 사용되는 상기 유전자 발현 측정 물질은 신호검출을 위해 발색, 발광 또는 형광물질과 같은 것으로 표지될 수 있다. 일례로, mRNA 검출을 위해 노던블랏 또는 역전사 PCR (중합효소연쇄반응)이 사용된다. 후자의 경우 검체의 RNA를 특히 mRNA를 분리한 후, 이로부터 cDNA를 합성한 후, 특정 프라이머, 또는 프라이머 및 프로브의 조합을 사용하여, 검체 중의 특정 유전자를 검출하는 것으로, 특정 유전자의 존재/부존재 또는 발현량을 결정할 수 있는 방법이다.For example, in order to measure the presence and amount or pattern of the mRNA of the gene by RT-PCR, it includes a probe and / or a primer pair specific to the mRNA of the gene. Primer or probe refers to a nucleic acid sequence having a free 3 'hydroxyl group capable of complementarily binding with a template and allowing the reverse transcriptase or DNA polymerase to initiate replication of the template. The gene expression measuring substance used in the present invention may be labeled as a coloring, luminescent or fluorescent substance for signal detection. For example, Northern blot or reverse transcription PCR (polymerase chain reaction) is used for mRNA detection. In the latter case, it is possible to detect a specific gene in a specimen by isolating RNA of the specimen, specifically mRNA, synthesizing cDNA therefrom, and then using a specific primer or a combination of a primer and a probe to detect the presence / Or the amount of expression can be determined.

본 발명에서 상기 유전자의 발현 수준을 측정하는 물질은 상기 뉴클레오티드 서열에 코딩되는 폴리펩타이드, 상기 상보적인 서열에 코딩되는 폴리펩타이드, 상기 뉴클레오티드 서열의 단편에 코딩되는 폴리펩타이드 중 어느 하나 이상에 특이적으로 결합하는 올리고펩타이드, 모노클로날 항체, 폴리클로날 항체, 키메릭(chimeric) 항체, 항체단편, 리간드, PNA(Peptide nucleic acid), 앱타머(aptamer), 아비머(avidity multimer) 및 펩티도모방체(peptidomimetics) 중에서 선택된 어느 하나 이상일 수 있다.In the present invention, the substance for measuring the expression level of the gene may be a substance which specifically binds to any one or more of a polypeptide encoded by the nucleotide sequence, a polypeptide encoded by the complementary sequence, and a polypeptide encoded by a fragment of the nucleotide sequence A peptide fragment, a ligand, a peptide nucleic acid (PNA), an aptamer, an avidity multimer, and a peptidomimetic (Peptidomimetics).

본 발명에서 상기 유전자의 발현 수준을 측정하는 물질은 CDKN2A 유전자가 암호화하는 단백질, 또는 상기 유전자가 전사하는 전령 RNA(mRNA)의 결합체의 존재 여부, 존재량 및 존재 패턴 중에서 어느 하나 이상을 검출하는 물질일 수 있다. In the present invention, the substance for measuring the expression level of the gene may be a substance which detects at least one of the presence, the abundance, and the presence pattern of the protein encoded by the CDKN2A gene or the binding body of the messenger RNA (mRNA) Lt; / RTI >

본 발명에서 상기 유전자의 발현 수준을 측정하는 물질은 당해 분야에서 공지된 다양한 유전자(바이오 마커) 검출 방법에 사용되는 물질을 포함할 수 있으며, 예를 들어, 역전사 중합효소연쇄반응, 경쟁적 중합효소 연쇄반응, 실시간 중합효소 연쇄반응, Nuclease 보호 분석(RNase, S1 nuclease assay), in situ 교잡법, DNA 마이크로어레이 이용법, 노던 블랏, 웨스턴 블랏, ELISA(Enzyme Linked Immuno Sorbent Assay), 방사선 면역분석법, 면역 확산법, 면역 전기영동, 조직 면역염색, 면역침전 분석법, 보체 고정 분석법, FACS, 질량분석법(Mass spectrometry) 및 단백질 마이크로어레이 이용법 중에서 어느 하나 이상의 방법으로 유전자 발현을 측정하는 검출시약일 수 있다.In the present invention, the substance for measuring the expression level of the gene may include a substance used in various gene (biomarker) detection methods known in the art, for example, a reverse transcription polymerase chain reaction, a competitive polymerase chain reaction (RNase, S1 nuclease assay), in situ hybridization method, DNA microarray method, northern blotting, Western blotting, ELISA (enzyme linked immunosorbent assay), radioimmunoassay, immunodiffusion , Immunoelectrophoresis, tissue immuno staining, immunoprecipitation assays, complement fixation assays, FACS, mass spectrometry, and protein microarray methods.

즉, 본 발명은 당해 분야에서 공지된 다양한 핵산/단백질에 대한 정량/정성 분석 방법을 사용하여 해당 유전자의 발현을 측정한다. 일례로, RNA 수준에서의 검출, 발현량 또는 패턴의 검출을 위해 역전사 중합효소연쇄반응(RT-PCR)/중합효소연쇄반응, 경쟁적 RT-PCR, 실시간 RT-PCR, Nuclease 보호 분석(NPA) 예를 들면 RNase, S1 nuclease 분석, in situ 교잡법, DNA 마이크로 어레이 또는 칩 또는 노던블랏 등을 이용한 방식이 사용될 수 있으며, 이러한 분석법은 공지된 것이며, 또한 시중의 키트를 사용하여 수행될 수 있으며, 당업자라면 본원의 실시를 위해 적절한 것을 선택할 수 있다.That is, the present invention measures the expression of the gene using quantitative / qualitative analysis methods for various nucleic acids / proteins known in the art. For example, RT-PCR / polymerase chain reaction, competitive RT-PCR, real-time RT-PCR, and Nuclease protection assay (NPA) for detection, expression level or pattern detection at the RNA level For example, methods using RNase, S1 nuclease analysis, in situ hybridization, DNA microarray, chip or Northern blot can be used, and these assays are well known and can also be performed using commercially available kits, It is possible to select an appropriate one for the implementation of the present application.

또한, 본 발명은 상기 상술한 중간엽줄기세포의 세포사멸 예측용 조성물을 포함하는, 중간엽줄기세포의 세포사멸 예측용 키트 또는 시스템을 제공한다. The present invention also provides a kit or system for predicting apoptosis of mesenchymal stem cells, which comprises the above-described composition for predicting apoptosis of mesenchymal stem cells.

구체적인 내용을 상술한 바와 같다. 본 발명에 따른 키트는 당해 분야에서 공지된 다양한 키트를 사용할 수 있는데, 일례로 마이크로 어레이, 유전자 증폭 키트, 면역분석(immunoassay)용 키트, 루미넥스 분석 키트, 단백질 마이크로어레이 키트 및 ELISA 키트 중에서 선택된 어느 하나 이상일 수 있다.The concrete contents are as described above. The kit according to the present invention may be a variety of kits known in the art, such as a microarray, a gene amplification kit, an immunoassay kit, a luminex assay kit, a protein microarray kit, and an ELISA kit It can be more than one.

또한, 본 발명은 중간엽줄기세포에서 CDKN2A 유전자의 발현 수준을 측정하는 단계를 포함하는, 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법을 제공한다.The present invention also provides a method for providing information necessary for predicting apoptosis of mesenchymal stem cells, comprising the step of measuring the expression level of CDKN2A gene in mesenchymal stem cells.

상기 방법은, 중간엽줄기세포 시료로부터 CDKN2A 유전자의 발현 수준을 측정하는 단계, 및 상기 CDKN2A 유전자의 발현수준이 임계값(cut-off)보다 높을 경우 중간엽줄기세포의 세포사멸 가능성이 있다고 예측하는 단계를 포함할 수 있다.The method comprises the steps of measuring the expression level of the CDKN2A gene from a mesenchymal stem cell sample and estimating the possibility of cell death of the mesenchymal stem cell when the expression level of the CDKN2A gene is higher than the cut-off level Step < / RTI >

상기 임계값(cut-off)은 0.1이 바람직하며, 본원 실시예에 따르면, 0.1값을 기준으로 ROC 곡선을 그렸을 때 민감도 100%, 특이도 100%를 보였다(도 4). 그러나, 상기 임계값은 민감도와 특이도를 크게 손상시키지 않는 범위 내에서 적절히 변경될 수 있다.The cut-off value is preferably 0.1. According to the embodiment of the present invention, when the ROC curve is drawn based on the value of 0.1, the sensitivity is 100% and the specificity is 100% (FIG. 4). However, the threshold value may be appropriately changed within a range that does not significantly impair the sensitivity and the specificity.

본 발명에 따른 상기 중간엽줄기세포의 세포사멸 예측 방법에서의 유전자의 발현 수준 측정은 당해 분야에서 공지된 다양한 핵산/단백질에 대한 정량/정성 측정 방법을 사용할 수 있다. 일례로, 역전사 중합효소연쇄반응, 경쟁적 중합효소 연쇄반응, 실시간 중합효소 연쇄반응, Nuclease 보호 분석(RNase, S1 nuclease assay), in situ 교잡법, DNA 마이크로어레이 이용법, 노던 블랏, 웨스턴 블랏, ELISA(Enzyme Linked Immuno Sorbent Assay), 방사선 면역분석법, 면역 확산법, 면역 전기영동, 조직 면역염색, 면역침전 분석법, 보체 고정 분석법, FACS, 질량분석법(Mass spectrometry) 및 단백질 마이크로어레이 이용법 중에서 어느 하나 이상의 방법을 사용할 수 있다.The expression levels of the genes in the method for predicting apoptosis of mesenchymal stem cells according to the present invention can be determined by various methods for quantitative / qualitative determination of nucleic acids / proteins known in the art. For example, reverse transcription polymerase chain reaction, competitive polymerase chain reaction, real-time polymerase chain reaction, Nuclease protection assay (RNase, S1 nuclease assay), in situ hybridization method, DNA microarray method, northern blotting, Western blotting, ELISA Enzyme Linked Immuno Sorbent Assay), radioimmunoassay, immunodiffusion, immunoelectrophoresis, tissue immuno staining, immunoprecipitation assay, complement fixation assay, FACS, mass spectrometry and protein microarray .

이하, 본 발명을 실시예에 의해 상세히 설명한다. 단, 하기 실시예는 본 발명을 예시하는 것일 뿐, 본 발명이 하기 실시예에 의해 한정되는 것은 아니다.Hereinafter, the present invention will be described in detail with reference to examples. However, the following examples are illustrative of the present invention, and the present invention is not limited by the following examples.

실시예 1. 중간엽줄기세포의 분리 및 일차배양Example 1 Isolation and Primary Culture of Mesenchymal Stem Cells

건강한 공여자로부터 출산 후 조직을 제공받아, 양막, 융모막 및 탯줄을 태반으로부터 분리하였다. 양막 중간엽줄기세포(AMSCs) 분리를 위해, 양막 절편을 37℃ 에서 0.25% trypsin-EDTA (Gibco) 처리한 후 0.2% collagenase IV (Gibco) 처리하였다. 융모막 중간엽줄기세포(CMSCs)도 같은 방법을 이용하되 0.2% collagenase I (Gibco)을 사용하였다. 탯줄은 분리하여 37℃에서 0.2% collagenase II (Gibco) 로 처리한 후 0.25% trypsin-EDTA (Gibco)을 처리하였다. 골수 중간엽줄기세포(BM-MSCs)는 대조군으로 사용하였다. 분리된 세포들은 37℃ 및 5% 이산화탄소 함유 humidified atmosphere 조건에서 T25 flasks (BD Falcon) 내 알파-변형된 최소 필수 배지(α-MEM; Gibco) 에서 배양하였고, 70% 컨플루언시가 될 때까지 격주로 배지를 갈아주었다.Amniotic membrane, chorioamnion and umbilical cord were separated from the placenta after receiving postpartum tissue from a healthy donor. Amniotic membrane mesenchymal stem cells (AMSCs) were treated with 0.25% trypsin-EDTA (Gibco) and 0.2% collagenase IV (Gibco) at 37 ℃. Chorionic mesenchymal stem cells (CMSCs) were also cultured using 0.2% collagenase I (Gibco). The umbilical cord was isolated and treated with 0.2% collagenase II (Gibco) at 37 ° C and then treated with 0.25% trypsin-EDTA (Gibco). Bone marrow mesenchymal stem cells (BM-MSCs) were used as controls. Separated cells were cultured in α-MEM minus essential medium (α-MEM; Gibco) in T25 flasks (BD Falcon) at 37 ° C. and humidified atmosphere containing 5% CO 2 until a 70% confluence I changed the badge every other week.

실시예 2. 증식능 분석Example 2. Proliferation assay

중간엽줄기세포가 70% 컨플루언시에 도달했을 때, 0.25% trypsin-EDTA 를 이용하여 세포를 수집하고 disposal hemocytometer C-Chip(SystemBukerTurk; Incyto, cheonan, Korea)를 이용하여 계수하였다. 200 cells/cm2 농도로 시딩하여 계대배양하였고, 증식능은 온라인으로 공지된 알고리즘(http://www.doubling-time.com)을 사용하여 PDT(population doubling time) 으로 계산하였다. When mesenchymal stem cells reached 70% confluence, cells were harvested using 0.25% trypsin-EDTA and counted using a disposal hemocytometer C-Chip (SystemBukerTurk; Incyto, Cheonan, Korea). 200 cells / cm < 2 > and subcultured. The proliferative capacity was calculated by PDT (population doubling time) using an online algorithm (http://www.doubling-time.com).

실시예Example 3.  3. 아넥신Annexin V( V ( annexinannexin V)/ V) / 프로피디움Propidium 요오드화물( Iodide ( PropidiumPropidium IodideIodide )을 통한 세포사멸 분석) To analyze cell death

계대 3(P3)에서 세포를 수집하고 Annexin V-300 fluorescein isothiocynate (FITC) apoptosis detection kit(Abcam, Cambridge, UK)를 사용하여 세포사멸을 분석하였다. 1 X 105 세포를 포함하는 세포 현탁액을 암조건 및 실온에서 FITC-결합된 Annexin V 및 propidium iodide(PI) 존재하에 배양하였다. 샘플은 FACSCalibur cytometer(BD Biosciences, San 304 Jose, CA)로 분석하였고 CellQuestTM Pro version 6.0 software(BD Biosciences)로 데이터를 처리하였다.Cells were collected from passage 3 (P3) and analyzed for apoptosis using Annexin V-300 fluorescein isothiocynate (FITC) apoptosis detection kit (Abcam, Cambridge, UK). Cell suspensions containing 1 X 10 5 cells were cultured in the presence of FITC-conjugated Annexin V and propidium iodide (PI) at dark and at room temperature. Samples were analyzed with a FACSCalibur cytometer (BD Biosciences, San 304 Jose, Calif.) And processed with CellQuest TM Pro version 6.0 software (BD Biosciences).

실시예 4. Senescence-associated β-galactosidase (SA-β-gal) 활성 분석Example 4. Analysis of senescence-associated beta -galactosidase (SA-beta-gal) activity

세포노화(Cellular senescence)를 분석하기 위해 SA-β-gal 발현 수준을 분석하였다. SA-β-gal staining kit(Cell Signaling Technology, Boston, MA, USA) 를 사용하여 SA-β-gal을 염색하였다. 구체적으로, 6-웰 배양 디쉬에서 300 cells/cm2 의 중간엽줄기세포를 시딩하여 배양하였다. 3일 후 β-galactosidase 염색 용액으로 세포를 염색하고 37℃에서 배양 디쉬에서 배양하였다. 노화 세포(senescent cells)는 파란색으로 염색하여 현미경(inverted microscope)으로 관찰하였다.The level of SA-β-gal expression was analyzed to analyze cellular senescence. Β-gal staining was performed using SA-β-gal staining kit (Cell Signaling Technology, Boston, MA, USA). Specifically, mesenchymal stem cells of 300 cells / cm 2 were seeded and cultured in a 6-well culture dish. After 3 days, cells were stained with? -Galactosidase staining solution and cultured in a culture dish at 37 ° C. Senescent cells were stained blue and observed with an inverted microscope.

실시예 5. 인 비트로 중배엽 분화Example 5. In vitro differentiation of mesoderm

양막, 융모막 및 탯줄 중간엽줄기세포를 P3에 수집하여 6-웰 조직 배양 시험 플레이트(Nunc; PuDong, Shanghai, China)에서 웰당 1 X 105 농도로 시딩하였다. 세포가 70% 컨플루언시에 도달하였을 때 배지를 분화 배지로 교체하였다. 세포는 37℃에서 3주간 배양하였고 격주로 배지를 교체하였다. 지방세포 분화 유도를 위하여, basal medium (Gibco)에서 배양하고 3주 후 세포를 4% paraformaldehyde (PFA) 에 고정하고 Oil Red-O(Sigma-Aldrich, St. Louis, MO)로 염색하였다. 연골세포 분화 유도를 위해 15 mL conical tube(BD Biosciences) 에서 2.5 X 105 세포를 150 x g 로 5분간 원심분리하고, 연골세포 분화용 basal medium(Gibco)에서 배양하였으며, 3주 후 4% paraformaldehyde(PFA) 에 고정하고 파라핀 포매하였다. 절편들을 1% alcian blue solution(ScienCell, Carlsbad, CA)으로 염색하였고 씻어낸 후 핵을 0.1% nuclear fast red solution(ScienCell)로 염색하였다. 골세포 분화 유도를 위하여, 골세포 분화 배지에서 배양하고 3주 후 4% PFA에 고정하고 2% Alizarin Red Solution(ScienCell)으로 염색하였다.Amniotic membrane, chorionic membrane and umbilical cord mesenchymal stem cells were collected in P3 and seeded at a concentration of 1 × 10 5 per well in a 6-well tissue culture test plate (Nunc; PuDong, Shanghai, China). When the cells reached 70% confluence, the medium was replaced with differentiation medium. The cells were incubated at 37 ° C for 3 weeks and the medium was replaced every other week. After 3 weeks, cells were fixed in 4% paraformaldehyde (PFA) and stained with Oil Red-O (Sigma-Aldrich, St. Louis, Mo.) for induction of adipocyte differentiation in basal medium (Gibco) 2.5 × 10 5 cells were centrifuged at 150 × g for 5 min in a 15 mL conical tube (BD Biosciences) and cultured in basal medium (Gibco) for chondrocyte differentiation. After 3 weeks, 4% paraformaldehyde PFA) and embedded in paraffin. The sections were stained with 1% alcian blue solution (ScienCell, Carlsbad, Calif.), Washed and stained with 0.1% nuclear fast red solution (ScienCell). For induction of osteoclast differentiation, the cells were cultured in osteoclast differentiation medium, fixed with 4% PFA 3 weeks later and stained with 2% Alizarin Red Solution (ScienCell).

실시예 6. RT-PCR 을 통한 줄기세포성 마커 분석Example 6. Analysis of stem cell markers by RT-PCR

P3의 양막, 융모막 및 탯줄 중간엽줄기세포로부터 각각 RNeasy Mini Kit (Qiagen, Hilden, Germany)를 이용하여 총 RNA 를 분리하였다. Transcript or First-strand cDNA synthesis kit(Roche Applied Science, Mannheim, Germany)를 사용하여 cDNA 를 합성하였다. RT-PCR(Reverse transcription polymerase chain reaction)을 수행하여 중간엽줄기세포의 줄기세포성(stemness nature)을 평가하였다. 이를 위하여 octamer-binding protein 4(OCT4), homeobox transcription factor nanog(NANOG), stem cell factor(SCF), telomerase reverse transcriptase (TERT), HLA-ABC 및 HLA-G을 분석하였다. 내부 대조군으로 인간 glyceraldehyde-3-phosphate dehydrogenase(GAPDH)의 발현과 비교하였다. PCR 산물은 자외선 하에서 밴드를 관찰하였다.Total RNA was isolated from amniotic membrane, chorion, and umbilical cord mesenchymal stem cells of P3 using RNeasy Mini Kit (Qiagen, Hilden, Germany). CDNA was synthesized using Transcript or First-strand cDNA synthesis kit (Roche Applied Science, Mannheim, Germany). The stem cell nature of the mesenchymal stem cells was evaluated by RT-PCR (reverse transcription polymerase chain reaction). We analyzed OCT4, homeobox transcription factor nanog (NANOG), stem cell factor (SCF), telomerase reverse transcriptase (TERT), HLA-ABC and HLA-G. We compared the expression of human glyceraldehyde-3-phosphate dehydrogenase (GAPDH) as an internal control. The PCR product was observed under ultraviolet light.

실시예 7. 유전자 표지자의 도출Example 7. Derivation of gene markers

유전자 발현 분석(Gene expression array)을 통하여 양막(AMSCs), 융모막(CMSCs) 및 탯줄(UC-MSCs)에서 각각 유래한 중간엽줄기세포의 유전적 발현의 차이를 분석하였다. 우선, 각각의 중간엽줄기세포에서 RNA를 추출하여 quality와 quantity를 측정한 후, SurePrint G3 Hmn GE 8Χ60K V2 Microarray Kit(Agilent) 를 이용하여 실험하였다. 200ng의 RNA를 합성하여 이중가닥인 cRNA로 합성하여 증폭을 시킨 후, probe가 붙어있는 chip에 반응시켜 데이터를 산출하였다. 그리고 GeneSpring GX 7.3 분석프로그램으로 데이터를 분석하였고 GeneCards, DAVID, QIAGEN's Ingenuity® Pathway Analysis 프로그램들을 이용하여 각 조직에서 유래한 중간엽줄기세포(MSCs)에서 특징적으로 발현을 보이는 유전자를 확인하고, 유전자의 특징을 알아보았다.The genetic expression of mesenchymal stem cells derived from amniotic membrane (AMSCs), chorionic villus (CMSCs) and umbilical cord (UC-MSCs) were analyzed by gene expression analysis. First, RNA was extracted from each mesenchymal stem cell, and the quality and quantity of each RNA were measured. The RNA was then tested using a SurePrint G3 Hmn GE 8X60K V2 Microarray Kit (Agilent). 200 ng of RNA was synthesized and synthesized as double stranded cRNA, amplified, and reacted to chip with probe to calculate data. The data were analyzed using the GeneSpring GX 7.3 analysis program, and genes expressing characteristic features in mesenchymal stem cells (MSCs) derived from each tissue were identified using GeneCards, DAVID, and QIAGEN's Ingenuity® Pathway Analysis programs. .

실시예 8. 유전자표지자 정량 측정법Example 8. Quantification of gene markers

실시간 정량적 PCR(Real-time quantitative PCR)로 특징적으로 발현된 유전자를 선택하여 TaqMan® gene expression assay를 이용하여 ABI 7500 Real-Time PCR system을 실시하였다. 2-ΔΔCt법으로 데이터를 도출하였다. 유전자는 총 10개의 유전자 cyclin-dependent kinase inhibitor 2A(CDKN2A) (HS00923894_m1, TaqMan®), pleiomorphic adenoma gene-like 1(PLAGL1) (HS00414677_m1, TaqMan®), homeobox B2 (HOXB2) (Hs00609873_g1, TaqMan®), plexin A2 (PLXNA2) (Hs00300697_m1, TaqMan®)를 선택하였다. 발현량의 차이가 분명하게 보였던 3개의 CDKN2A, HTR2BNPY 유전자를 선택하여 각 유전자의 기능을 알아보고 각 조직에서 유래된 MSCs에서 각 유전자에 의한 특징들이 나타나는지를 확인하였다.The ABI 7500 Real-Time PCR system was carried out by selecting a characteristic expression of the gene by real-time quantitative PCR (Real-time quantitative PCR) using the TaqMan ® gene expression assay. Data were derived by the 2-ΔΔCt method. Genes are a total of 10 genes cyclin-dependent kinase inhibitor 2A (CDKN2A ) (HS00923894_m1, TaqMan ®), pleiomorphic adenoma gene-like 1 (PLAGL1) (HS00414677_m1, TaqMan ®), homeobox B2 (HOXB2) (Hs00609873_g1, TaqMan ®), plexin A2 ( PLXNA2 ) (Hs00300697_m1, TaqMan ® ) was selected. Three CDKN2A , HTR2B and NPY genes were selected which showed clear differences in expression level , and the function of each gene was examined , and MSCs derived from each tissue were confirmed to be characterized by respective genes.

실시예Example 9. 임계값(cut off value)의 결정 9. Determine the cut off value

양막(Am), 융모막(Ch) 및 제대(Cord) 줄기세포 각각 5개씩에 대하여 TaqMan®gene expression assay 법으로 cyclin-dependent kinase inhibitor 2A (CDKN2A) (HS00923894_m1, TaqMan®)의 프라이머(F:5'-CAGTAACCATGCCCGCATAGA-3'(서열번호 2) 및 R:5'-AAGTTTCCCGAGGTTTCTCAGA-3(서열번호 3)) 및 probe를 이용해 ABI 7500 Real-Time PCR system에서 CDKN2A 유전자 발현을 평가하였다. 3회 반복 실험을 실시하였고, human GAPDH (Hs99999905_m1)을 reference 유전자로 사용하였다. gene expression level은 2-ΔΔCt 법으로 계산하였다.Primer of the membranes (Am), choriocarcinoma (Ch) and cord (Cord) stem cells TaqMan ® gene expression assay method as cyclin-dependent kinase inhibitor 2A (CDKN2A ) (HS00923894_m1, TaqMan ®) in 5 by one, respectively (F: 5 ' (SEQ ID NO: 2) and R: 5'-AAGTTTCCCGAGGTTTCTCAGA-3 (SEQ ID NO: 3)) and probe were used to evaluate CDKN2A gene expression in the ABI 7500 Real-Time PCR system. Human GAPDH (Hs99999905_m1) was used as a reference gene. The gene expression level was calculated by the 2-ΔΔCt method.

실시예 10. 통계분석Example 10. Statistical analysis

증식 데이터는 Wilcoxon Signed Rank Test 로 분석하였다. RT-qPCR 에 의한 유전자 발현은 one-way ANOVA test 및 Kruskal-Wallis method 를 사용하여 분석하였다. 모든 시험은 two-tailed 분석을 실시하였고, P 값은 0.05 미만인 경우 유의적인 결과로 보았다. 모든 통게적 분석은 MedCalc 12.7.2 software (MedCalc, Mariakerke, Belgium)을 사용하여 분석하였다.Growth data were analyzed by Wilcoxon Signed Rank Test. RT-qPCR gene expression was analyzed by one-way ANOVA test and Kruskal-Wallis method. All tests were performed with two-tailed analysis and P values <0.05 were considered significant. All analyzes were analyzed using MedCalc 12.7.2 software (MedCalc, Mariakerke, Belgium).

실험결과Experiment result

1. 중간엽줄기세포의 분리 및 증식 결과1. Isolation and proliferation of mesenchymal stem cells

양막, 융모막 및 탯줄로부터 중간엽줄기세포를 분리 및 배양하였다. 일차 배양 (P0)에서, 양막 중간엽줄기세포는 막대 모양의 세포와 상피세포 모양의 세포가 혼합되어 있었고, P1에서 상피세포 모양의 세포는 관찰되지 않았으나, 막대 모양의 세포는 P2 단계까지 유지되었다(도 1a). 융모막 중간엽줄기세포는 P1에서 막대 모양의 세포가 나타났고 P9 또는 P10 단계까지 유지되었다. 두 개의 양막 중간엽줄기세포에서 P5에서 증식이 중단되고 하나의 양막 중간엽줄기세포는 P7에서 증식이 중단되었다. 양막, 융모막 및 탯줄의 중간엽줄기세포의 배양 기간 동안 증식능을 평가한 결과, P3 에서 평균 PDT(population doubling time)가 양막 중간엽줄기세포는 68±22.5시간, 융모막 중간엽줄기세포는 28.2±3.2시간, 그리고 탯줄 중간엽줄기세포는 26.1±2.2시간으로 측정되었다. PDT 값은 계대배양 동안 증가하는 것으로 나타났다(도 1b). 양막 중간엽줄기세포는 다른 중간엽줄기세포에 비하여 증식이 느리게 나타났고, 융모막 및 탯줄 중간엽줄기세포는 비슷한 증식능을 나타내었다. annexin V 양성 세포의 비율은 융모막 중간엽줄기세포(3.9%) 및 탯줄 중간엽줄기세포(1.4%)에 비하여 양막 중간엽줄기세포(26.7%)가 가장 높았다(도 1c). Mesenchymal stem cells were isolated and cultured from amniotic membrane, chorion, and umbilical cord. In the primary culture (P0), amniotic mesenchymal stem cells were mixed with rod-shaped cells and epithelial cells, whereas no epithelial cells were observed in P1, but rod-like cells were maintained in P2 (Fig. 1A). In chorionic mesenchymal stem cells, rod-like cells appeared in P1 and remained in P9 or P10 stage. In two amniotic mesenchymal stem cells, proliferation was stopped in P5 and one amnion mesenchymal stem cell was stopped proliferating in P7. The mean PDT (population doubling time) at P3 was 68 ± 22.5 hours for amniotic mesenchymal stem cells, 28.2 ± 3.2 hours for chorionic mesenchymal stem cells, Time, and umbilical cord mesenchymal stem cells were measured as 26.1 ± 2.2 hours. The PDT values were found to increase during sub-culture (FIG. 1B). Amniotic membrane mesenchymal stem cells showed slower proliferation than other mesenchymal stem cells, and chorionic and umbilical mesenchymal stem cells showed similar proliferative activity. Amniotic membrane mesenchymal stem cells (26.7%) showed the highest proportion of annexin V-positive cells (Fig. 1c) compared to chorionic mesenchymal stem cells (3.9%) and umbilical mesenchymal stem cells (1.4%).

결과적으로 양막 중간엽줄기세포는 실험대상 중간엽줄기세포들 중에서 가장 낮은 증식율과 가장 높은 annexin V 발현을 나타내었다. 노화 관련한 베타-갈락토시다아제(SA-β-gal; senescence-associated β-galactosidase) 양성 세포는 융모막 중간엽줄기세포(10.5%) 및 탯줄 중간엽줄기세포(11%)에 비하여 양막 중간엽줄기세포(87.5%)가 가장 높았다(도 1d).As a result, amniotic mesenchymal stem cells showed the lowest proliferation rate and the highest annexin V expression among the mesenchymal stem cells tested. The senescence-associated β-galactosidase (SA-β-gal) -mediated senescence-associated β-galactosidase-positive cells were more prominent than the mesenchymal mesenchymal stem cells (10.5%) and umbilical mesenchymal stem cells Cells (87.5%) were the highest (Fig. 1d).

2. 중간엽줄기세포의 중배엽 분화능2. Mesothelial differentiation of mesenchymal stem cells

양막, 융모막 및 탯줄의 중간엽줄기세포를 골형성, 지방형성 및 연골형성 유도 조건에서 3주간 배양한 결과, 각각 골세포, 지방세포 및 연골세포로의 분화를 나타내었다(도 1e).The amniotic membrane, chorioamnion, and umbilical cord mesenchymal stem cells were cultured for 3 weeks under osteogenic, adipogenic, and cartilage formation conditions, respectively, indicating differentiation into bone cells, adipocytes and chondrocytes (FIG.

3. 줄기세포성(stemness nature)의 평가3. Assessment of stemness nature

RT-PCR을 통해 유전자의 mRNA 발현 분석을 통해 줄기세포성을 평가한 결과, 줄기세포 특성에 중요한 OCT4, NANOg 및 SCF의 발현을 확인할 수 있었고, 모든 샘플에서 HLA-ABC 및 HLA-G가 검출되었다. TERT는 모든 샘플에서 검출되지 않았다(도 2a).The expression of OCT4, NANOg and SCF, which are important for stem cell characteristics, was confirmed by RT-PCR analysis of gene mRNA expression, and HLA-ABC and HLA-G were detected in all samples . TERT was not detected in all samples (Fig. 2a).

4. 유전자 발현 분석 데이터를 이용한 gene ontology 분석 결과4. Analysis of gene ontology using gene expression analysis data

마이크로어레이 분석을 통한 유전자 발현 분석에서 Fisher's combined probability test 에서 2배 이상 발현 차이를 나타낸 유전자들을 선별하였다. 50,682 유전자 중에서, 양막 중간엽줄기세포에서 1,190(2.3%), 융모막 중간엽줄기세포에서 509(1.0%) 및 탯줄 중간엽줄기세포에서 638(1.3%)가 과발현되었다. development category 에 기초한 클러스터링 분석 결과를 도 2b에 나타내었다.In the analysis of gene expression by microarray analysis, the genes that showed a difference of more than 2 times in the Fisher 's combined probability test were selected. Of the 50,682 genes, 1,190 (2.3%) were overexpressed in amniotic mesenchymal stem cells, 509 (1.0%) in chorionic mesenchymal stem cells and 638 (1.3%) in umbilical mesenchymal stem cells. Clustering analysis results based on the development category are shown in FIG. 2B.

각 조직의 유래에 따라 특이적으로 발현된 유전자를 기준으로 Gene Ontology (GO) term이 분류되었다. 특히, 양막 중간엽줄기세포에서 CDKN2A유전자가 높게 발현되었다(표 1 및 도 3). 특히, CDKN2A는 cell cycle G1 단계 진행에 관여하는 CDK4를 억제함으로 중간엽줄기세포의 성장을 지연시키며, 이 결과는 양막 중간엽줄기세포의 annexin V 발현 및 증식능에서 관찰된 결과와 일치하였다. Ingenuity® pathway analysis (IPA) 결과는 GO 분석 결과와 유사한 결과를 보였다. 양막 줄기세포는 세포 성장 및 증식에 관련된 유전자들이 높게 발현된 것을 확인하였다. Gene ontology (GO) term was classified based on the gene specifically expressed according to the origin of each tissue. In particular, CDKN2A gene was highly expressed in amniotic mesenchymal stem cells (Table 1 and Fig. 3). In particular, CDKN2A inhibited the growth of mesenchymal stem cells by inhibiting CDK4, which is involved in G1 stage of cell cycle, and this result was consistent with the results of annexin V expression and proliferation of amnionic mesenchymal stem cells. The results of Ingenuity® pathway analysis (IPA) were similar to those of GO analysis. Amniotic membrane stem cells showed high expression of genes related to cell growth and proliferation.

Figure pat00001
Figure pat00001

5. 특이적으로 발현되는 유전자의 확인 실험 결과5. Experimental Results of Identification of Specially Expressed Gene

양막 중간엽줄기세포에서 특징적으로 발현된 CDKN2A 유전자의 기능은 세포사멸(apoptosis)과 관련되어 있음을 확인하기 위하여, Annexin V-fluorescein isothiocynate(FITC)를 세포에 붙여 FACS로 세포사멸(apotosis)이 일어난 세포를 분석함으로써, 이 유전자의 발현이 높을 때 세포에서 세포사멸(apotosis)이 일어나는 것을 확인하였다(도 4 참조).In order to confirm that the function of the CDKN2A gene, which is characteristic in amnion mesenchymal stem cells, is related to apoptosis, apoptosis was induced by FACS with Annexin V-fluorescein isothiocynate (FITC) By analyzing the cells, it was confirmed that cell apoptosis occurs when the expression of this gene is high (see FIG. 4).

또한 senescence-associated β-galactosidase(SA-β-gal)도 함께 실시하였고 푸른색으로 염색된 세포를 위상차 현미경으로 분석하였다(도 5 참조).In addition, senescence-associated β-galactosidase (SA-β-gal) was also performed and blue stained cells were analyzed by phase contrast microscopy (see FIG.

6. 임계값(cut off value)의 결정6. Determination of cut off value

양막 유래 중간엽줄기세포(AMSCs), 융모막 유래 중간엽줄기세포(CMSCs) 및 탯줄 유래 중간엽줄기세포(UC-MSCs) 각각 5개씩 TaqMan®gene expression assay법으로 cyclin-dependent kinase inhibitor 2A(CDKN2A) (HS00923894_m1, TaqMan®)의 probe를 이용해 ABI 7500 Real-Time PCR system에서 CDKN2A 유전자 발현을 평가하였다. CDKN2A 유전자를 증폭하기 위한 프라이머는 F: 5'-CAGTAACCATGCCCGCATAGA-3'(서열번호 2) 및 R: 5'-AAGTTTCCCGAGGTTTCTCAGA-3(서열번호 3)를 사용하였다. 3회 반복 실험을 실시하였고, human GAPDH (Hs99999905_m1, TaqMan®)을 reference 유전자로 사용하였으며, gene expression level은 2-ΔΔCt 법으로 계산하였다. The amnion-derived mesenchymal stem cells (AMSCs), choriocarcinoma-derived MSCs (CMSCs) and umbilical cord-derived mesenchymal stem cells (UC-MSCs) each 5 each TaqMan ® gene expression assay method cyclin-dependent kinase inhibitor 2A (CDKN2A ) use of the probe (HS00923894_m1, TaqMan ®) was evaluated for CDKN2A gene expression in the ABI 7500 Real-Time PCR system. The primers for amplifying the CDKN2A gene were F: 5'-CAGTAACCATGCCCGCATAGA-3 '(SEQ ID NO: 2) and R: 5'-AAGTTTCCCGAGGTTTCTCAGA-3 (SEQ ID NO: 3). Human GAPDH (Hs99999905_m1, TaqMan ® ) was used as a reference gene and gene expression levels were calculated by the 2-ΔΔCt method.

그 결과, 평균(표준편차) 값이 AMSC는 0.705 (0.739), CMSC는 0.018 (0.013), UC-MSC는 0.020 (0.004)로 측정되었다.As a result, mean (standard deviation) values were measured as 0.705 (0.739) for AMSC, 0.018 (0.013) for CMSC and 0.020 (0.004) for UC-MSC.

AMSCsAMSCs CMSCsCMSCs UC-MSCsUC-MSCs 1001 Am1001 Am 0.23455530.2345553 1001 Ch1001 Ch 0.01215760.0121576 1001 Cord1001 Cord 0.01529280.0152928 1002 Am1002 Am 2.01391112.0139111 1002 Ch1002 Ch 0.0089680.008968 1002 Cord1002 Cord 0.02231260.0223126 1003 Am1003 Am 0.46619330.4661933 1003 Ch1003 Ch 0.03947270.0394727 1003 Cord1003 Cord 0.01743340.0174334 1004 Am1004 Am 0.32691780.3269178 1004 Ch1004 Ch 0.00752030.0075203 1004 Cord1004 Cord 0.02065840.0206584 1005 Am1005 Am 0.48229910.4822991 1005 Ch1005 Ch 0.02057450.0205745 1005 Cord1005 Cord 0.02418070.0241807 평균값medium 0.70477530.7047753 0.1773860.177386 0.01997560.0199756 SD값SD value 0.73894130.7389413 0.1316150.131615 0.00360560.0036056

따라서, AMSC는 세포사멸이 잘 일어나는 특성이 있으며, 위 실험을 통하여 AMSC의 세포사멸을 예측 또는 감별할 수 있는 마커로 CDKN2A을 제공하며, 판정 기준(임계값)은 0.1로 정하였다. 0.1 값을 기준으로 ROC 곡선을 그렸을 때 민감도 100%, 특이도 100%를 보였다 (도 6).Therefore, AMSC has a characteristic that cell death is well occurred, and CDKN2A is provided as a marker for predicting or distinguishing AMSC cell death, and the criterion (threshold value) is set at 0.1. Sensitivity was 100% and specificity was 100% when ROC curve was drawn based on 0.1 value (Fig. 6).

<110> THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION <120> Biomarker for predicting apoptosis of mesenchymal stromal cells and uses thereof <130> PN1603-084 <160> 3 <170> KoPatentIn 3.0 <210> 1 <211> 28749 <212> DNA <213> Unknown <220> <223> cyclin-dependent kinase inhibitor 2A whole SEQ <400> 1 gcccgcgagg tttaggacgg atccaggcag accgcaggct ccgggtcggg gcaccgggtc 60 agcgcgccgg cctgaaggcg gcgtcctggg ctcgacttcc cgcgcgcgga gagccggcga 120 gcccgcgtcc gagttcctgg acgagagccg agcctcgctt agaccgcgct caggacccgg 180 ctcctccgca ttctccggct gcccctgtgt cctcgactca cccctccttt ctgccgctcc 240 ttcctttcct tgccctgctt ttactgttcc caaacaggac cgcttttcct gtctcccagc 300 tggaaaggag gaagggagag agtccagaaa ggatcggtga tgtggaagaa aaggggagga 360 ggggacatgg agggggagac cggagagaga acgtacgccg aggagtcagg cggcgggatc 420 aaggggagtc ggggtgtctg ggcgcggggc agagcgtgga ggcggcagcg gccaacggtc 480 gccaagacaa ccattctacg cgaggacgcg gcgacaggag gggagcggcc agcaggggag 540 gggagcgcgg gggaagagga aagaggaaga agcgctcaga tgctccgcgg ctgtcgtgaa 600 ggttaaaacc gaaaataaaa atgggctaga cacaaaggac tcggtgcttg tcccagccag 660 gcgccctcgg cgacgcgggc agctgggagg ggaatgggcg cccggaccca gctgggaccc 720 ccgggtgcga ctccacctac ctagtccggc gccaggccgg gtcgacagct ccggcagcgc 780 cagcgccgcg ccgtgtccag atgtcgcgtc agaggcgtgc agcggtttag tttaatttcg 840 cttgttttcc aaatctagaa gaggagcgga gcggctttta gttcaaaact gacattcagc 900 ctcctgattg gcggatagag caatgagatg acctcgcttt cctttcttcc tttttcattt 960 ttaaataatc tagtttgaag aatggaagac tttcgacgag gggagccagg aataaaataa 1020 ggggaatagg ggagcgggga cgcgagcagc accagaatcc gcgggagcgc ggctgttcct 1080 ggtagggccg tgtcaggtga cggatgtagc tagggggcga gctgcctgga gttgcgttcc 1140 aggcgtccgg cccctgggcc gtcaccgcgg ggcgcccgcg ctgagggtgg gaagatggtg 1200 gtgggggtgg gggcgcacac agggcgggaa agtggcggta ggcgggaggg agaggaacgc 1260 gggccctgag ccgcccgcgc gcgcgcctcc ctacgggcgc ctccggcagc ccttcccgcg 1320 tgcgcagggc tcagagccgt tccgagatct tggaggtccg ggtgggagtg ggggtggggt 1380 gggggtgggg gtgaaggtgg ggggcgggcg cgctcaggga aggcgggtgc gcgcctgcgg 1440 ggcggagatg ggcagggggc ggtgcgtggg tcccagtctg cagttaaggg ggcaggagtg 1500 gcgctgctca cctctggtgc caaagggcgg cgcagcggct gccgagctcg gccctggagg 1560 cggcgagaac atggtgcgca ggttcttggt gaccctccgg attcggcgcg cgtgcggccc 1620 gccgcgagtg agggttttcg tggttcacat cccgcggctc acgggggagt gggcagcgcc 1680 aggggcgccc gccgctgtgg ccctcgtgct gatgctactg aggagccagc gtctagggca 1740 gcagccgctt cctagaagac caggtaggaa aggccctcga aaagtccggg gcgcattcgg 1800 cacttgtttt gtttggtgtg atttcgtaaa cagataattc gtctctagcc caggctagga 1860 ggaggaggag ataaccgccg gtggaggctt ccccattcgg gttacaacga cttagacatg 1920 tggttctcgc agtaccattg aacctggacc tcccttcaca cagcccctca atcgtgggaa 1980 actgaggcga acagagcttc taaacccacc tcagaagtca gtgagtcccg aatatcctgg 2040 gtgggaatga ctaagacaca cacacacaca cacacacaca cacacacaca cacacacaca 2100 cagtaggaaa ggtgtatttc aagcacactt tctttctcct tggggagaat tattgctaac 2160 catctaagtt ttctggaggc ggcctttttt ctccccagcc tcccggcggg gtcaccctct 2220 cccaccttcc aggagagtgg aggacccgtg agatacgggg cacgcaggca gcgacttcct 2280 gaaatgctaa caaggatcgt aggatcagtt actgctgcga ggagcaagca cttgcttctt 2340 gggggagttt tgcagccaac agggaaatgg gctttctttg tgagttagag gtagaggtcc 2400 ggcggcctga gtgattgaaa ctgctcggga caatgctcgt atgtttagca aacgacagaa 2460 ctgtagaact gttcctgaga aatcccaact gatagtattt tagtcatctc agacgacagt 2520 tagcacagtt taaaaatgag gcctacttct tgaaaaacag aatccaaggt agttttgtcc 2580 tcacattgac aaatgttgac acagccagtg taatttccta taaccaggaa aactgaaaga 2640 atatatgtac agttaaaata tgtacaatgc taattaaaac ttgtgtaata agtctaaaag 2700 taatttaatg aggcttcact tttatgaccg tccttgtggt atgcttcgcc aggaatatat 2760 agcttcaaaa agcaaaggcc agcggagggg taattatttt tttactgcaa tgttaattgt 2820 ctctttgaca tggaaatata aacctgttaa aactatcagt gtttaattta gtgtctcaat 2880 ttctattagc aaaaatttat aatctatagg ataaatgcac attttatttt ttacttttca 2940 tattatgcaa gttaattttt ttaatttagt caaaggagct tataaaggat ttcagggcct 3000 gttgctggat ttgattttaa ttcattttga aacattgaca agaccctggt tgttgttttt 3060 tttaacagtg gtttatccgt atcagcaaaa gtttagccac tgtgaccggt aactgtatga 3120 atatagttct taatattatt gtctatataa aaatatttat tactctagtt aatattattc 3180 tatataaaat cattttgttt aaattattaa gttgcctctg aaaatctgta gtaacaaagt 3240 agaacatgtc aatgtatata aatgccataa ttatgtattt tttagtttag gcctataaaa 3300 cataacattg tggtgatttt aagttagaga aaatatttta tagtatgtta atgtatatgc 3360 atgaaatgca aaaatattta aatgataggt tcattgaaat agatcatttt ttgttattta 3420 ggtataaatc aattttcagg acgtatgtga aaagcgcaat cttcaggaag tttctcaaga 3480 tagaacacag cttggataga atgtcttgaa atatatgcaa ttttccaatt tcatatgtaa 3540 aatgatatac ataatataaa atctagcggt gttaattata atgatatgta attatatatt 3600 tcacattaat atattttatg cccatggcta tattgatttg ggaatatata tggatactaa 3660 ttatgttagg attcatacaa ttccttgaga ggcacaagtg ctaaaaatta cttgtatgaa 3720 ttatttaata tcattgcaaa taagatgtta ttttaacttt ttttaagttt ctgcaaatat 3780 gtttattatg actttttatt tttatatgat tggaaataca tatactaaaa ttccacgtta 3840 ccagtttctt aaccacagaa acctgaaaaa ttgccatagt tgatttgtta cttctacctt 3900 ggtgcattta caaaatagtc atatttttat tatgaagtta aatattcatt tgtttatagc 3960 tacttcagaa ggctcaggtt atttttttct ttaatagcac agagtcctct caaggtaagc 4020 actgtgcagt tagtataaac cattattccc catgtgtaca tgattcacag tttgtattgt 4080 gttccaagtg aaccatagcc ctttcagaaa tcaagactta tattcatttt acttctttga 4140 gtactcttga attttagaaa gtccattatg atcctaaggt agcaacaaca tagcctatta 4200 ccgtctatga tggtttacag atctattatt ccacgttagt tcatcactat caactaccat 4260 gatagagtta agctaaacca ttttcccaac atatgaaaaa ctcctattac taaagtgata 4320 caaatggtat caaaaatact tttttatagc aaggttcaac agtgggccca gtgcttttac 4380 actttttcaa aagtccttgg agaaacagag aaaatctcac ttgccttctg tactaaaaca 4440 ttctaggccg aactaaaact gaaacttcat agtagaacac tgtaggccag gggtgttcaa 4500 tcttttacct tccctgggcc acataggaag aagaagaatt gtcttgggac acacattaaa 4560 tacactaaca ctaacaatag ctgatgagct taaaaaaaaa aaaaaactca tgatacttta 4620 agaaagtgta tgaatttgtg ttgggcagca ttcaaaacca tcctgggctg catgtgaccc 4680 tcgggcccac aggttggaca agcttgccct agctcctcca tctgctgcaa agcccagcct 4740 gatacaaaaa ccaacgtgat aaaaagtttt tgtggtgctt tattttggca gtttaagtta 4800 tataaacaat gggtacagtt tcattttcta aatataaaat ttttacattg aatatgaatt 4860 tttaagacaa attatctgaa ttctgattct catataccta actactaata tcttctctat 4920 ttgttgccca atgagattaa tccacctctt aaacacttca ccatcaagaa aaacaatttt 4980 gtattttaaa atgaacccat ccactttcat tcagctattt tatattcagg catcatccta 5040 aggaaagaaa ggttctgaca aagattaata cagatggata agtagtagca agaaatcaaa 5100 aactgcataa aattctagca ataaagtgtt aaattatggt acagttacat tctggatcat 5160 caggtatctg aagaatattt catagactgt taaatgattg cattataaag tcaggttttt 5220 ttaaagcaag attccaaaca gtaaacagtt tctctctctc tctctctctc tctctctctc 5280 tctctctctc accaaattag ttataatggt ttccgcagga tgagaggggt tgggaaaaag 5340 tttggtgata tttattttct tcgtttcact tttgagtttt ccaaagtgct atgaccatca 5400 tcagtaaaat atacatttcc aaagcctttg acacacggta acagtcctac acagtggatg 5460 aactaagagc ttctctaccc ttagatgggt agggagggag gaaagacaag gaaactgagt 5520 tgtttaagtg tcatacacga gaacgtggct ttaaggtctg ggaaaacctg cgagggctgt 5580 gacgtcagac tgtgaaatgc acgctatgtc cattcaccaa gacgttccat tttaaaaccc 5640 ataaatccgt agctatacct gtttccaagg tgcctcgtgt taggcctctg gtcacagcac 5700 ttggcgccct tcttgggatc tcttctctcc gcccccacta ccccacccca caagcacact 5760 ctagtcccct ccaatcaatt tcaggcaggt ctcgccgcct ccggagccac gctgggggtg 5820 caagggccct ggacccgaaa gagcgcccgc ccggcgacaa gagatgagat gcacgctgct 5880 cctccactcc tcagccccca ccatcctcct cctggatcct aacttcccca ctctctcaat 5940 tcctagagac gctgcggatc ccagaggctt aactggcagc tggaacgagg tcctccaaca 6000 agaatttaga cgctaggtcc aattatcact ccaccgcgcg cactttccgc aggagcgatg 6060 tgatccgtta tcataactgc ggacctgggg ttccacgtgg aagacgattg ggatttcact 6120 ggccgcggtg ggggtgggag cagacagagt ctgagtgggg ttagtggact cgagacgaaa 6180 ggcaggacat gacagaaggc aactctgggt cacctctcca gcttggaact ggctaggcct 6240 tgttttggag gggatgggta gatgaaaagt gagtcagggt tacccggagg aaccacgggg 6300 aaagtgcgct tctgagactc ttgacagcca tttcgttccc ttccaagcca gatggagacc 6360 caagagtgtt gaaaggccac gacttccctc agtttctcca tctgggggtg caggatggta 6420 tagagagtgg cccgtagtat ttttccagtg acgatgtctc tccattgttt tcttcttata 6480 ttgcagcttt ccccatgttt gaaaattttc ttttcaaatg aaatcattga ttagaataaa 6540 aaaaagtaag tagctattaa aacaagatca atttccatga cagtaagcca accgatggag 6600 aaaaccttgg gaattaataa atgaaggatt tgtttggtag atgataaaag gtccttttaa 6660 agggtctgac tcttcctaga aaaacccacc aacttgggac cgcaacagat ttaccatatc 6720 ctaattcatg ctattttaat gtgtattcag caaacccaca tgtgtttaca attgtcgaag 6780 ctaccaaatg tcaatagcgt tttttttcta tttgttgaat gtgaatctct tgtacgaagc 6840 catataaaca gaagaaatta caggaatgat tttaaatcac atacaaaacc aatagtattg 6900 ctagaggaga gttagtcaag gacggcatta tgaagaaagt gagggagaat ttccaaagag 6960 cagaacgata gggcttggtg gaccaaagaa cgtttccatc taaagggaat ggcaaatact 7020 tagagtctct gaacccactg aatcttggac tatttaacta atatttgtag ttccagatat 7080 agcacagtgc cttgtacata gtggtatttt taaaaatata gtgcctcgta gatttttttt 7140 caacttttat ttaggaggag agggcacatg tgcaggttaa ttacaaaggt atattgcacc 7200 atgctgaggt ttcgagtacg actgaatctg tcactcaagt agtgagcaca gtacccacag 7260 taggtagtat ttcagccctc gctcattccc tttctcctcc atctagtagt ccccaatgtc 7320 tattgttctc atatttatgt ccaattagca tttgtttttt aaaaagggtg gttgaagaaa 7380 ttctcagtgc ttgtcagtgt ctctcagtgc attcatttaa ttcatgagcc ctggaatgat 7440 ggtttcattt gggcagaact ctacaatcaa aaagaagtaa taaaagggaa aaaaaagtga 7500 aagccatcaa ctacaggatt gaaattccca aagcatcaga ggtcctttca aaaaatagta 7560 tgttgatttt taatttttat gacttattgg ctttgttcat gaaaatataa acatgttatc 7620 acaaaggatt ttttaattca actatttctc agttttctct ttcaccttca aaataaaata 7680 tcataaatta tttaaatggt tgtgaaggca gtaggatttt tttaagagag aaaagtttta 7740 tagaggttca gaattacatg aacaaagaca tgtaatctct taagcaaatt gaaactaata 7800 aaatcgtaca atcaaggtaa cgtaaataaa aaagcctctg ctttcttaat tgaattatgt 7860 gagtaactag aaattttaaa agtatggcaa aggttaacaa cagcattatt acctgggctg 7920 cctttaaaaa tacatatttc tggggttcac gttcagaaaa tttgattcag atttgctgtg 7980 ggtcccagaa atctgcattt taaataaaca cttgaaggag atactaatac aagtggccca 8040 ttgggacaca atttgacaaa tatgaccaat tttacttttt aaaccttatt tctgcttctt 8100 tatctttgaa ttgaggtcca ggattttagg taagatttta agtttagagt cagtttactg 8160 gatcccaggg aggagagtct gagtaatcag tggaggagtt atttcaccaa atgaaggaga 8220 ccctttatta ttatgtgacc ctttgtatga attggaaaag aatgtcttgt agataccaca 8280 tttttacagt cagaacatag tttgagagaa aaaaatataa caagatatat ttgtgtttta 8340 aagcttacag aaccagacag aaaatttcca cataagctat ataagatacg ttgtcttttt 8400 aaaacactat atacacttct ttctgttcgt gcaggatgaa tggatctctc tctctctctc 8460 tctctctctg tgtgtgtgtg tgtgtgtgtg tgtgtgtgtg tgtgttgtaa taaggggttt 8520 ctttcatttt atgatccaga ccaggctcgt aataaacatg acaacctaaa attatgtaaa 8580 aaagaaaaat caaagcacaa gtgtttcaca ggtttaactt atgcttatct aagatcaggg 8640 caagattgca ggaaaatgta gccataacag aataaagcat ttatggacaa aatgatgggt 8700 ctttatgtct ctgtaaaagc acagtgatgg ggggggaaat atagatgaaa aatgtaagct 8760 aaaaagtaac aattataaga aaaactaaaa tatcatgcct ttcaaatgat catttttctg 8820 cttttaagct aaaatttgtc taatattaca ccagtgactt tgctgatgta ttaggaaaaa 8880 gcttgttttg ctttcttttc tcgagtgcca ccattttctt gctctcattc tctttcaggc 8940 tgccagatca tctgactcag caattgtata actctctcac ccaatttaaa gaaacagcag 9000 ctgtctagag aacaatgact cccccagttg aacatctaat tgttaaatgt ccaacatcgg 9060 acactttgaa ttttactcca tgcaatttac atgctgaata gttgaagttg aatatattat 9120 atttaacatt taatttttaa aagcttattg aaactttctt cctaaatcac atggtaaagt 9180 tattgttttc ttcaaaaaca attaggagga gcttaacaat aataggacac ttcaacttcc 9240 attatctaat ttaattatca caatatcctt atgttttcaa tgtttcattt tttcattttg 9300 tagatctgga gactgaggct cagataggtt gcatggccta ccaaaagtca ttgactagta 9360 attcatatat agttgaactt ggttgcccat ggagtgctat aaatatgtat atggtttcag 9420 ttccatctct tttagttaac tattattttg aaagtcgctt aacccctttg ggcctctact 9480 atactcaagc atcagccgta taagtcacag taaatattta ttggttgaaa ggaggttaac 9540 atctttcaaa aatttatttt ttgaccaaaa taaaaccagt gaaaaattct catatgactg 9600 tacatataaa ttacttattc ctaccttaat ttaaaagcaa taagtgggat acctattcac 9660 cagcacagga accacttgaa gcgtgcagtt gaaagattac tttctttagc attcacatga 9720 cctgtgagca gattctattt cttttgctta ttagctgtca tggtaccaga atgaagtatg 9780 agaaactctc agtgctttca tgttctcatc tgtaaacctg agaccctatg gtagtcccgt 9840 aataagaggt agataaaata gtatgtgtga agagtcactg taaactttta cacagtgtac 9900 gtttgtcagt tattatagtg cctaattaaa ctatgccctt aagaaagcac attagttttt 9960 tacagtaaat acctacttca ttataatttt tcagtgtagc tagaaatttc taaactccac 10020 tttaaaaata tacatatcat aataaaaata tatttatgta ttcagactcc tggtatgttc 10080 caaggtgtta ggtaaaatca gtgtaaattt gcatactttt aaattcacat ctgtacagaa 10140 gatctatatg gtggccttta gggtatacct ctaagctatt ctagtattca taatcattaa 10200 agagatatta agcagtgttt gtgaacccct gttttctaag acaggaaatc aaggtagctt 10260 tagaaaactg gaaaaaaagt tattagtcta tctatctaat aacccagaat aataatttcc 10320 aaaggaatca ctgaagataa ctggattttt aattccttca gaatggttgt cacagtctga 10380 atatctgaat caacagtttt gaccaaaaca attttctaaa aattctttag tataaaaaat 10440 tatgtgtgtg tgtgtctgtg tgatgaaagg aatgataggc agaaacatta ctgtcatcct 10500 tacgacattc aaaatgccta ccttggaggg tgaccttcag ttatttttat gcaaatgtga 10560 agaagttatt tagaagtagg atatcaaaga gtaacacaaa atacactaaa tagtatgctt 10620 tcttaaggct aaattgactt gggggtttta aatcagtaca gagtaaacat acagtatatt 10680 ctgttatcat tgcctttttg aaaaattaat tatggaagtt atcatcttaa ccgtaacaac 10740 acaaaagata aaactctacc ctcaacccag agactcaaag gaaaacatga gtggaaatgt 10800 taaatctgta tgtgaaaagt gctaaaacat gaataggaag cagttactta tttaatcaaa 10860 gttgattata tttcatcaag aagttgattc ccttgagtgg agttgaatca catatcaggt 10920 gaagaatgtg atttggggaa gaatggtcta acacaagaaa attttcttgc aatctttaat 10980 aatatcagag gggagattgg cttcagaact ctcctaagtt caggaaagga cacagaaaat 11040 tgaacataac agtaagacta tagagtccca agaaagcaag ctacttttaa aggatagttt 11100 tttagagggg caaaaggggg acaaccattc tccatttgat gagaaaagct tccatgtaga 11160 tggtgcccct gaaattagag tatcctaaac cagtgttaaa cctatcagtg aaacatgaat 11220 attaaacctc cactcccagt agtgaaaacc gaatacatta ttatttatct gtgactttca 11280 acattatctc agaactctaa cagcacatgc gtacatcagc agcataagca gaaatgagat 11340 attatatatg cttgtgttag caattaaaaa ggacagcata tttgagaggg gaaaatctgt 11400 cctatcaaga atgaaaaaga gggaggttag gaaaagtagt ttagagaaag taaattttgc 11460 aattcctcag ttttaactgt agtttctcca ttgtaccttc cacttgaaat gcactccaag 11520 cagtggaggt gggtagcaat gaatgcagag gaaacactga acacagtgac actctccagt 11580 gtcacttctc atgatttaat gaggggtttt ttttggaaat tcttctgtca taacatggga 11640 aactttgtta caaagaagct gttttttcag agggttagaa ttcagaggta gcatcatacc 11700 ttttagaaga gaatttgctt gttgaaacca cagatacctg ctagaatgta caggaattaa 11760 tgaaaaatta ctcaaaagga catttatttt gatgacctaa atgaataact tcatagtaaa 11820 tgtcatatat attctcaaaa aattaaaaag caccatttat tgagagccta ccgtgcaccc 11880 ggatttttat atatctgaca ttctttattc ctcacagtaa ccttatgggg taaattttat 11940 tttccccact ttgtgaggtg aggaaataaa ggctcagaaa gtttacataa cttattcaag 12000 cccacagagc tggtaaatga gaggtcagtt ctatctgagt ttaaagacta ggcttgtccc 12060 acttgcatat gtgtcatttc caaaattatg attaaggata tggttggcat ttcccgccac 12120 ccacattaag tccaattaag tagctgtggc catagaaaga atggagaatg gagagaggaa 12180 ctgacttcaa cagctacagc aaacatttat tagctgagta accatagcta catagttcct 12240 caatatgtac cactcctcca ttttgttatc tataaatcaa aatggtggct ttttaaaaag 12300 cagttttaca atatattcaa gagccttcta ccctttgaaa aactgcaata ctatttttag 12360 tagcaattag aaacacctta aatatctgac aacagggaca tcattaagta aattataact 12420 ttttccagtg ggatgtgtta cagctgttaa aagtagcatt tatgaagtgt ttttggagaa 12480 gtttggaaaa tgctgtaata agttagaaaa agctcatttc aaaattgcat aatattcaca 12540 atgtaaagat taagcaaaga aaaaggaaga agtatttcaa aatgttaata attattgctt 12600 tgtgtggggt agtttttcat tttctatgtg cagctaattc cttaattatt tttaaatatg 12660 tgagctttaa tcaggaaagc aaatcattca aaaatgaggg gactgaatta agtgactttc 12720 aggggacttt gcgtgtcttt gagttccaaa tttctatcac tatgtattac tactgaagaa 12780 taatcataga agcacagtag tttctgaaaa tggagagtca gtaatcttgg cccaggtttt 12840 gcaacttgct ctaaagcaga gtcctcaaag aaaaggaagc attgatgagt tgtccacaat 12900 gtactggata aattatcatt aggaaaacat attgtagtag ggagagtgag gacctctcaa 12960 acagaactga gaaccttaag tttgaacttt tcttttcctt attacttaag cactctgagc 13020 tttttttttt gtctgcatta tgaagaaaga ataatactct ctatcccatg ggacagctgt 13080 ggaattataa attacacata taaaactgct tgatgcttgt cacatagctg ggggttgaaa 13140 aaatgatagc cattattttc ttggcaactt ttaatgaatt ttttattatc tctatttctt 13200 tctgcctatc tcctctaatt atgtttatta cttattttgt tcctcaggat gaggtcaatt 13260 ctcaatatct gtgctgtaca taatatacat atataccaaa tatgtgcata tagtatgtac 13320 atacatacat actgtgctaa tcttttagtg ttctcagctg atcaaatagc tacaaataga 13380 tataagtaat tcgccacaag taatttatca acataaaaaa aatttacaaa aaagttaagg 13440 aataattgtc tccatgagct gcaaagatcc ctcatttcac aagagtacac cctagagata 13500 ttttaatagt aaatttctca catagattta aaatcacatt tgttttgcac ataatttaga 13560 aaagatacct gctatataat aagtaatata cttttaagtt tccttcaaaa tattcttggg 13620 aagatgataa taggtactgc taattctata cccagttaac attttggaaa ctaaggttga 13680 aaattgtgac ttaactataa ttatgcatta aatctacaac acatcaaaga attttgcatt 13740 ttgtactcct tactaagatc cagtttgagt aggaagataa attttacagt aattctgaat 13800 gagggaagtt ggcacagagt ttctaaaaga gtaccttcct tatagcaaat actaaataat 13860 tgtgctatat tgaatttaat taaatagaga atagtaaaag ggagaaagaa acatccaatg 13920 ttttgaaact tctagagatc tactcccagg gacacattgt tttttcttag caaatctgtt 13980 tggaggtctg ctctactttc tcagaggtct ccctttcatg ctgaagctat cttttttcct 14040 tgtggaacat aagtaattaa ataccttgca attatttacc taagaaagtg tttctttccc 14100 gtttaaaatg ctcttaccac ccacattgga ctcgattatc agaattttta tccggggcag 14160 cttcaggagc actttggcac ttcggggcta aaccacaatc tgtttttaca tgtttgtgat 14220 tatacccgtt ttgtagatca agacattgaa gctagtaaaa aaaaaaaaaa gtcatttttt 14280 cagggtaaca aagtaggtgg tagaactagg acagggactc taatttcctt acattattgc 14340 ttttctaaat taaagggatg catggaatta ttcctccatt gcctttgcct tcaaataatt 14400 atctattgca cccaacatcc tattctagaa ctcatctatg aaggcttaac acagctgtac 14460 ctgggagctc cattacaggg catatatctc gctctcataa gctacttcct aaggaattct 14520 ctttaattat gggagctttt ccagactctg aaatcttttt ttcctggtaa cacaagtgtg 14580 aggtgtcatt tatcagaatg catcacccca gtcttccctc ctcaaatgat tactgtaggc 14640 tccactcaag agctcatccc agttcaagac caccttcctc ctccagagaa gcaaatatat 14700 atatacacgt atatatatat atacacgtat atatatatat acacgtatat atatatatac 14760 acgtatatat atatatacac gtatatatat atatacacgt atatatatac acgtatatat 14820 atatatacac gtatatatat atacacgtat atatatatat acacgtatat atatatacac 14880 gtatatatat atatacacgt atatatatat acgtgtatat atatatatac attttttttt 14940 tttgagacgg agtctcgctc tgttgcccag gctggagtgc agtggcgcga tctcggctca 15000 ctgcaagctc cgccccccgg gttcacgcca ttctccttcc tcagcctccg gagtagctgg 15060 gactacaggt gcccgccacc tcgcctggct aattttttgt atctttagta gagatggggt 15120 ttcaccgtgt tacctaggat ggtctagatc tcctgacctc gtgatccgcc cgcctcggcc 15180 tcccaaagtg ctgggattac aggcgtgagc caccgcgcct ggcagagaag caaatatatt 15240 gatggttgtt accaatacat gctcttgact aagaaacctt ctttcttaat taatattgac 15300 aactttaagc cgagtgcctg acatatatta ggtactcagt tactcttttt caactaaagt 15360 tatgaatgat gattctaata aaagtaactt atttgtctac tagttttatt atgtttattt 15420 aattcattag aaaggccatg gacatagtac aaaattcaaa caatataaat catggaatgt 15480 gaaaagtaag tcacatgccc atcccagttc ttcatttcct tacctcacag gtaacagctt 15540 ttcctgtatc tccccagaga tattctatgt atattttgtt tttaacacca agctatattt 15600 aaaacaatta tctttaataa taatgttaat attgaaactg gtaaagaaat atgtgtgtat 15660 tatctcacct caagcgtaaa caatagaaca agagagagcc cattttgaaa attatggaca 15720 atgaatctag aaataatctc aaaagatttt gcagtcaaaa aatagttcat tagatacatg 15780 agaactgtca cttggtctca gtgtagagct attgcctcaa ctccctttat tttcctaaca 15840 aaatcatctt gcttatccca tgaaatacgt gcatattgcc aatcctacaa tgccgcatca 15900 gaaccagaac ccaactctgg aacactacct tctcaagtat ctttctgtct ctttatggta 15960 atatgttgaa ttaatattca catctattat gactagtctt tgatttgtag ggttgctgaa 16020 gtagtagcac cactgcaggg ctttctttag tttaaagaaa gtaatcaggt gtccctactg 16080 tgtcatgatc tccaccctca gctgggttct ccagtctggt tttaaagaac aaaacaaaag 16140 gcttctctgt ctgagtctta ctcaacccat cctctctact cataagaggt attccaaacc 16200 tttacgattc tcaaacttcc taaccgacca tcttattttc actctgcaaa caagctaacc 16260 tcctcattca tagaaggaag tgcctcaact tcctccccgt tctgaccttt tctccctccc 16320 aaatctatgt atctcttgtg acaaaatcta taaccaccgc tgtactttga gttctatttc 16380 ttcattattt ttgagggacc tcaagtcctc aaaaatatcc tatcttgcct gtgtacttaa 16440 cttttctttt attcttttct aactttccct tctcttcact tggcacttgc ccttccaggt 16500 atatgtgtgc tcaggtctcc tccaccttcc atctgcctca cttcatggca tagggccttg 16560 aactatcaca accaagctat gaaagagtag tcaacgcagt gtccccactt ccttgccatc 16620 ccattatcct agtttttctt ttggctctct gaggagtcct tcacaggctg gttttcagga 16680 ataagtctaa atgaatcact ttcagttttc ctaaacttct atgcctttgc acatcctctt 16740 acctctgcct agaatatctt tctccttctt ttccatcttt aaactctcac atcattcttc 16800 aagactggga tcagctctca gcatccggaa gcctttgcct actagagaca aatgagaatg 16860 agtttggtca ccttttcatt ttcttgtatc attctgtgct ttattttgct cttctaagag 16920 cgttacatgc ttcatttaat ccctaaacaa ctgtttgagg caagtacagt tattatccta 16980 atcatgcaaa tgagaaaaca gaggcccaga catgttgagt aactttgata aaagttaaag 17040 aaccaataag tggaacagtt gaggtttgaa ccctggcagt ctgactgtag agatactatg 17100 tttgacctac tcccctctgc ccccacccca tgtctgccct tagtttctga gcttgttgaa 17160 tgaatgaaca ggtggtagtc tttttttgtt ataagactga tcagaattaa gacaggttta 17220 aatttcacgt gtagaatttt caaaactgca aaggcagtgc aaatctaaaa aaagaatggc 17280 attctcagga aagaggaaaa gtaagtgtga gaataataat aacaataacc aacaaacttt 17340 agtaaattta gtaaatgtag taaattttta cattaaaagc ttttggacat acattatcat 17400 attttatggc cacatgaaat atattataat cccattttgc acataggaaa tctgagactg 17460 gcataaggag cacagagatc caggacttta tattttcatt cttctaggat tttgcacctc 17520 aggtcgatat gtatgagtaa actgggagta taatgggctc tttaacagaa aaactaggaa 17580 agttttccca ctattattaa ttatttacat aatatttttt taattttatt attatttata 17640 ctttaagttt tagagtacat gtgcacaatg tgcaggtttg ttacatatgt atacatgtgc 17700 catgttggtg tgctgcaccc atcaactcat catttagcat taggtatatc tcctaatgct 17760 atccctcccc cctcccccct acataagatt tataatggat aatggacttc aatttctaga 17820 gcaaaatggc cccacccaag gatgccataa tccttccaga gctctactgc aagatatgag 17880 atatacatat ctaaaacttg ttcttggtat ttccaaagca gtcaactttt acacctgttt 17940 ataatgcatc caaatgttgt ttttatatgg ttgcatctcc catcttcttc accaatagct 18000 atatatattt ttcacaagag ctgaaagagt tcttgatgta ggaatccatg gtagagtttc 18060 agagaaatcc ctgaattcac tgaaagtttt atctagaaat acatgtgcaa gtgaacacat 18120 cttttttaaa aaaaatcatt acctactttc ttttttgaga agaaggtatt tatttcaaca 18180 gactcttgaa ggagcctact cttcccactc tcccaccccc attaagaacc actgtaggcc 18240 gggcacgatg gctcatgcct gtaatcccag cactttggga ggctaaggtg ggtggatcac 18300 ctgaggtcag gagttcgaga caagcctagc caacatagtg aaaccccgtc tctactaata 18360 atacaaaaat tagctgggta tggcagcatg tgcctgtaat cccagctact cgggaggctg 18420 aggcaggaga attgctcgaa cccgggaggc ggaggttgca gtgaaccgag agagatcgtg 18480 cggtgccatt tcactccagc ctgggcaaca gagcgaaact ccatctcaaa aaaacacaca 18540 aaacaaacaa acaaaaagaa agaaccattg tattagtgat ggaaatgtgt tccctccctc 18600 ccatcctggc aaccactttc ttcctcctcc atcataaaat atcttaaact aaactaaaat 18660 aattttattt atcgatagtt tgaattttcc ctatcattgc tacacagcta attgagaggt 18720 accccgagga aaatataaat ggtacagtaa tgcattgtag attttaataa catacttgac 18780 atcccaaatt gttttcattg gcttcatttt aaaaactaca tgttttaaaa tcaagcagac 18840 actaaaagta caagatatac tgggtctaca aggtttaagt caaccaggga ttgaaatata 18900 acttttaaac agagctggat tatccagtag gcagattaag catgtgctta aggcatcagc 18960 aaagtctgag caatccattt tttaaaacgt agtacatgtt tttgataagc ttaaaaagta 19020 gtagtcacag gaaaaattag aacttttacc tccttgcgct tgttatactc tttagtgctg 19080 tttaactttt ctttgtaagt gagggtggtg gagggtgccc ataatctttt cagggagtaa 19140 gttcttcttg gtctttcttt ctttctttct ttcttttttt cttgagacca agtttcgctc 19200 ttgtctccca ggctggagtg caatggcgcg atctcggctc actgcaacct ccgccttctc 19260 ctgggttcaa gcgattctcc tacatcagcc tccgagtagc tgggattaca ggcatgcgcc 19320 accaagcccc gctaattttg tattttttag tagagacagg gtttcgccat gttggtcagg 19380 cttgtctcga actcctggcc tcaggtgatc cgcctgtctc ggcctcccag aatgctggga 19440 ttatagacgt gagccaccgc atccggactt tccttttatg taatagtgat aattctatcc 19500 aaagcatttt tttttttttt tttgagtcgg agtctcattc tgtcacccag gctggagggt 19560 ggtggcgcga tctcggctta ctgcaacctc tgcctcccgg gttcaagcga ttctcctgcc 19620 tcagcctcct gagtagctgg aattacacac gtgcgccacc atggccagct aatttttgta 19680 tttttagtag agacggggtg tcaccatttt ggccaagctg gcctcgaact cctgacctca 19740 ggtgatctgc ccgcctcggc ttcccaaagt gctgggatta caggtgtgag ccaccgcgtc 19800 ctgctccaaa gcattttctt tctatgcctc aaaacaagat tgcaagccag tcctcaaagc 19860 ggataattca agagctaaca ggtattagct taggatgtgt ggcactgttc ttaaggctta 19920 tatgtattaa tacatcattt aaactcacaa caacccctat aaagcagggg gcactcatat 19980 tcccttcccc ctttataatt acgaaaaatg caaggtattt tcagtaggaa agagaaatgt 20040 gagaagtgtg aaggagacag gacagtattt gaagctggtc tttggatcac tgtgcaactc 20100 tgcttctaga acactgagca ctttttctgg tctaggaatt atgactttga gaatggagtc 20160 cgtccttcca atgactccct ccccattttc ctatctgcct acaggcagaa ttctcccccg 20220 tccgtattaa ataaacctca tcttttcaga gtctgctctt ataccaggca atgtacacgt 20280 ctgagaaacc cttgccccag acagccgttt tacacgcagg aggggaaggg gaggggaagg 20340 agagagcagt ccgactctcc aaaaggaatc ctttgaacta gggtttctga cttagtgaac 20400 cccgcgctcc tgaaaatcaa gggttgaggg ggtaggggga cactttctag tcgtacaggt 20460 gatttcgatt ctcggtgggg ctctcacaac taggaaagaa tagttttgct ttttcttatg 20520 attaaaagaa gaagccatac tttccctatg acaccaaaca ccccgattca atttggcagt 20580 taggaaggtt gtatcgcgga ggaaggaaac ggggcggggg cggatttctt tttaacagag 20640 tgaacgcact caaacacgcc tttgctggca ggcgggggag cgcggctggg agcagggagg 20700 ccggagggcg gtgtgggggg caggtgggga ggagcccagt cctccttcct tgccaacgct 20760 ggctctggcg agggctgctt ccggctggtg cccccggggg agacccaacc tggggcgact 20820 tcaggggtgc cacattcgct aagtgctcgg agttaatagc acctcctccg agcactcgct 20880 cacggcgtcc ccttgcctgg aaagataccg cggtccctcc agaggatttg agggacaggg 20940 tcggaggggg ctcttccgcc agcaccggag gaagaaagag gaggggctgg ctggtcacca 21000 gagggtgggg cggaccgcgt gcgctcggcg gctgcggaga gggggagagc aggcagcggg 21060 cggcggggag cagcatggag ccggcggcgg ggagcagcat ggagccttcg gctgactggc 21120 tggccacggc cgcggcccgg ggtcgggtag aggaggtgcg ggcgctgctg gaggcggggg 21180 cgctgcccaa cgcaccgaat agttacggtc ggaggccgat ccaggtgggt agagggtctg 21240 cagcgggagc aggggatggc gggcgactct ggaggacgaa gtttgcaggg gaattggaat 21300 caggtagcgc ttcgattctc cggaaaaagg ggaggcttcc tggggagttt tcagaagggg 21360 tttgtaatca cagacctcct cctggcgacg ccctgggggc ttgggaagcc aaggaagagg 21420 aatgaggagc cacgcgcgta cagatctctc gaatgctgag aagatctgaa ggggggaaca 21480 tatttgtatt agatggaagt atgctcttta tcagatacaa aatttacgaa cgtttgggat 21540 aaaaagggag tcttaaagaa atgtaagatg tgctgggact acttagcctc caattcacag 21600 atacctggat ggagcttatc tttcttacta ggagggatta tcagtggaaa tctgtggtgt 21660 atgttggaat aaatatcgaa tataaatttt gatcgaaatt attcagaagc ggccgggcgc 21720 ggtgcctcac gccttgtaat cccttcactt tgggagatca aggcgggggg aatcacctga 21780 ggtcgggagt tcgagaccag cctggccaac aggtgaaacc tcgcctctac taaaaataca 21840 aaaagtagcc gggggtggtg gcaggcgcct gtaatcccag ctactcggga ggttgaggca 21900 ggagaatcgc ttgaacccgg gaggctgagg ttgtagtgaa cagcgagatg gagccacttc 21960 actccagcct gggtgacaga gtgagacttt gtcgaaagaa agaaagagag aaagagagag 22020 agaaaaatta ttcagaagca actacatatt gtgtttattt ttaactgagt agggcaaata 22080 aatatatgtt tgctgtagga acttaggaaa taatgagcca cattcatgtg atcattccag 22140 aggtaatatg tagttaccat tttgggaata tctgctaaca tttttgctct tttactatct 22200 ttagcttact tgatatagtt tatttgtgat aagagttttc aattcctcat ttttgaacag 22260 aggtgtttct cctctcccta ctcctgtttt gtgagggagt taggggagga tttaaaagta 22320 attaatacat gggtaactta gcatctctaa aattttgcca acagcttgaa cccgggagtt 22380 tggctttgta gtcctacaat atcttagaag agaccttatt tgtttaaaaa caaaaaggaa 22440 aaagaaaagt ggatagtttt gacaattttt aatggagacg ggagaagaac atgtagaaaa 22500 ggggaaatga tgttggctta gaatcctaac tacattggtg tttaatatag gaacatttat 22560 ttatataaca ttttaaagta ctaaattcat attagtatat tatcaaatgg atatattatc 22620 aaatgggttt aagcatccta cacattttaa ttcaattgat tcattttctt tttgctttgg 22680 atttctatca tgatttaaat atttacatat gggttacttt ttagattttt catactatga 22740 aatataagaa aaacctttaa ggctagtttt atgaccaaga cgaaggactt cattgaatac 22800 acaaaacaat aaatatactg caacattttg tctttctttt tgtagctgca atttggtttg 22860 cttatacttt ctctttgtct ctttgaaaac tgagtcagtt tcactttctc aggacaggat 22920 ttaataacca taatataatt tagtataatt ccttgattta ggcaaattat gcaatttgtg 22980 tttagtatga aatgtaccta aaaataagta actcctcttt aacaccacca tcctcaaact 23040 aatataacaa ataacagtta tcctaaaata aattgtctac ttccaccatg cagcactcaa 23100 attttaaggt tgctatgact gcagacagta ttttaaaatt cctctctgga aatggctttg 23160 tttccaagat gatttaggaa ccaaagaggt gaccatctct tgtttaatga actctcaaat 23220 cataaacctg ggaagtgttt tagtttccta ctgctgctgt tacaaattat cacaaatgtg 23280 ttagctaaaa caaacacaaa attattattt tacagttcta gagatcagaa gtcaaaaatg 23340 ggtccacaag gtttcattcc ttttggaaac tctaaggggc aatctgtttc cttgtctttt 23400 ccagcttcta gtgaccatca aattccttgg ctcatggtct ctgtattttc tctgtggcct 23460 gtgcttccat tcttgtatct tctctctgac tgtgaccctc taataaaaac acttggggtt 23520 atgttgggcc caccctgaaa attctggata atctccctca agaccattaa ttaaatcaca 23580 tctgcaaagc ctcttttgcc acataagtta atgtattaaa agtttttgag gattaggaca 23640 tagacattgg gggtgggggg gcattattca gcctaccaca ggaaggaatt ttagggttaa 23700 ttaaactagc cttcttattt tatacttgaa gaaattgaag ttttggaatt ggagagcatt 23760 atgctaaatg aaataagcca aacacagaaa gacaaatatc acatgttctc acttatctgt 23820 gaaatataaa acaattacat tcttagcagt aaagagtaga atggtggtta ctagagctgg 23880 ggggtgggag gaatggggag atggtaatca agatataaag cctcagttaa gatgggagga 23940 ataagtttga ttgttttttt tgagatgtgt ttcatagcat gatgaatata gctaaatagt 24000 aaatcccaaa tgctctcatt tgacaaaaat gtcaaatatt tgagatgatg gataggttac 24060 ttagcttgac ttaataattc cccattgtgt tcaaagatca taacttcata ttgtaccaca 24120 taaatatata caactgtact atcccaatat ataattttaa aactaatata atgaaaaaga 24180 aattgaagtt caacattccc agaagctaag tgtaacttaa aagttttgtg agaatttgtt 24240 ttaacaaaca aacaagtttt ctctttttaa caattaccac attctgcgct tggatataca 24300 gcagtgaaca aaaaaaaaaa aaaaaatctc caggcctaac ataatttcag gaagaaattt 24360 cagtagttgt atctcagggg aaatacagga agttagcctg gagtaaaagt cagtctgtcc 24420 ctgccccttt gctattttgc ccgtgcctca cagtgctctc tgcctgtgac gacagctccg 24480 cagaagttcg gaggatataa tggaattcat tgtgtactga agaatggata gagaactcaa 24540 gaaggaaatt ggaaactgga agcaaatgta ggggtaatta gacacctggg gcttgtgtgg 24600 gggtctgctt ggcggtgagg gggctctaca caagcttcct ttccgtcatg ccggccccca 24660 ccctggctct gaccattctg ttctctctgg caggtcatga tgatgggcag cgcccgagtg 24720 gcggagctgc tgctgctcca cggcgcggag cccaactgcg ccgaccccgc cactctcacc 24780 cgacccgtgc acgacgctgc ccgggagggc ttcctggaca cgctggtggt gctgcaccgg 24840 gccggggcgc ggctggacgt gcgcgatgcc tggggccgtc tgcccgtgga cctggctgag 24900 gagctgggcc atcgcgatgt cgcacggtac ctgcgcgcgg ctgcgggggg caccagaggc 24960 agtaaccatg cccgcataga tgccgcggaa ggtccctcag gtgaggactg atgatctgag 25020 aatttgtacc ctgagagctt ccaaagctca gagcattcat tttccagcac agaaagttca 25080 gcccgggaga ccagtctccg gtcttgcctc agctcacgcg ccaatcggtg ggacggcctg 25140 agtctcccta tcgccctgcc ccgccagggc ggcaaatggg aaataatccc gaaatggact 25200 tgcgcacgtg aaagcccatt ttgtacatta tacttcccaa agcataccac cacccaaaca 25260 cctaccctct gctagttcaa ggcctagact gcggagcaat gaagactcaa gaggctagag 25320 gtctagtgcc ccctcttcct ccaaactagg gccagttgca tccacttacc aggtctgttt 25380 cctcatttgc ataccaagct ggctggacca acctcaggat ttccaaaccc aattgtgcgt 25440 ggcatcatct ggagatctct cgatctcggc tcttctgcac aactcaacta atctgaccct 25500 cctcagctaa tctgaccctc cgctttatgc ggtagagttt tccagagctg ccccaggggg 25560 ttctggggac atcaggacca agacttcgct gaccctggca gtctgtgcac cggagttggc 25620 tcctttccct cttaaacttg tgcaagagat cgctgagcga tgaaggtaga attatggtcc 25680 tccttgccct tgcctttcct ttttgtgatc tcaaagcatc ctccctccgc ccccattcca 25740 tggccccagt tccctactcc cacagctgtc tgctgaaact gccaacatta ctcaattgtt 25800 tctgggggga ggaacatttt tttttgaaac aaaatagata tatgaaacag tacacgggaa 25860 ttaacacgaa tatttaaggt aaaacatgac cttgaagatt atgaaatcca tcttattttg 25920 gcccagaacg ggggcattgg gctccttggg ccatagggga gctggggagg acagggtgaa 25980 gagttagctc taagccctct gcttggagat gctgtaaata cagaacgcaa aatcaccttc 26040 gaagttaaag acgcgaagtt cttctttact cggcccctcc tcccctcccc cccgccaatt 26100 ccctccagtt acagctagca tccaggtccc gggaggtgaa gaaggagact tcggctccag 26160 ttacagctag catccgggtc ccgatttaga aggagctgcc aattacagcg cggttccagg 26220 gctgagcaaa aagcctgagg agccaagtgg gagagggagt aaaactactg aattgggcca 26280 caagcaaatg aataaactga acgactctta accaaaccta atatatttaa tccaaacaca 26340 caagtctttc atttcttccc tcctcccttc cttctcttac tccccaacac cccctcttca 26400 agcacaatta attatatggt tagattctac tgcgtgatca gccctgttct aggtggtggg 26460 cacgccaagg tgaatgagac caaacaagag tcttgccctc atggggttta catttggaga 26520 cagagtcgat ctgttgccca acctggagtg cagtggcgcg atcacagctc actgcagcct 26580 caaactccct ggctcaaggg gttctcccac ctgagcctcc cgactagctg ggaccacagg 26640 tgcacgccac gacgcctggg tttgtttgtt tgtttaatag agacgaaggt ctcaccatgt 26700 tatctgggct caagcgatca tcccccctcc tcctcctaaa gtactgggat tacagtccca 26760 agctatcttg cccgacctgg gaaacagacg ttaaggaaga taacaatcta ttttcagaga 26820 gcgagtttat aaaaccaatg caatgggtaa atatgaagtg tgaataggag gagaagctaa 26880 agagtggtcg gagaatctaa tgcaagctac gggagaaaga aactcaagtg caaatgctgc 26940 ctcaggaata aacgtaaaaa gagactttca agtgcaaatg ctccctcagg aataaaataa 27000 tcttgagact ctcaagtgta aatgctgcct cgggagaacc gaacggcgag ctggagccca 27060 tacgcaacga gattagagag gaaggcagaa gccagagcac atgaataaat gagcatccat 27120 tttgtttcag aaatgatcgg aaaccatttg tgggtttgta gaagcaggca tgcgtaggga 27180 agctacggga ttccgccgag gagcgccaga gcctgaggcg ccctttggtt atcgcaagct 27240 ggctggctca ctccgcacca ggtgcaaaag atgcctgggg atgcgggaag ggaaaggcca 27300 catcttcacg ccttcgcgcc tggcattgtg agcaaccact gagactcatt atataacact 27360 cgttttcttc ttgcaaccct gcgggccgcg cggtcgcgct ttctctgccc tccgccgggt 27420 ggacctggag cgcttgagcg gtcggcgcgc ctggagcagc caggcgggca gtggactagc 27480 tgctggacca gggaggtgtg ggagagcggt ggcggcgggt acatgcacgt gaagccattg 27540 cgagaacttt atccataagt atttcaatgc cggtagggac ggcaagagag gagggcggga 27600 tgtgccacac atctttgacc tcaggtttct aacgcctgtt ttctttctgc cctctgcaga 27660 catccccgat tgaaagaacc agagaggctc tgagaaacct cgggaaactt agatcatcag 27720 tcaccgaagg tcctacaggg ccacaactgc ccccgccaca acccaccccg ctttcgtagt 27780 tttcatttag aaaatagagc ttttaaaaat gtcctgcctt ttaacgtaga tatatgcctt 27840 cccccactac cgtaaatgtc catttatatc attttttata tattcttata aaaatgtaaa 27900 aaagaaaaac accgcttctg ccttttcact gtgttggagt tttctggagt gagcactcac 27960 gccctaagcg cacattcatg tgggcatttc ttgcgagcct cgcagcctcc ggaagctgtc 28020 gacttcatga caagcatttt gtgaactagg gaagctcagg ggggttactg gcttctcttg 28080 agtcacactg ctagcaaatg gcagaaccaa agctcaaata aaaataaaat aattttcatt 28140 cattcactca tttattgtca acatttattg agcacctatt acaacaattt catcgcatgg 28200 aagacagcat cgtttctgac actgttgttt catgtatctc ttagaaaaac gctgctatta 28260 gacatctaac actatttatc ttgaggtgat aaaatatcaa aagccgtgtc tcaagatcga 28320 tgaaatgcgg ttaaaatgat gaatagaaac tctaggggga cctcatatcg atagactcga 28380 gactggcaca tctggagatc cgtatttatc cggcttcccc ttccagatca cgcgaggttt 28440 gggatatttt gctcaccagg cctcagccag gtaactgaat ccagccaacc ctggcccata 28500 gtctcggaat ccgactcggc tcccagtccc cgcctcggcg ttctgagacc cccaggctgg 28560 ggttccagag ggctgtgagg ttgcgaatga ctgctgccaa accggaagga actctgcggt 28620 tctctgccac agtgggattg ttgcaggcac gcggctcaga cttcactgag gttgggagat 28680 gctcctgtcc acgctgcctc atcccgtgct ggagcactgc acctctattt ttttttttag 28740 ggtacacgc 28749 <210> 2 <211> 21 <212> DNA <213> Artificial Sequence <220> <223> CDKN2A forward primer <400> 2 cagtaaccat gcccgcatag a 21 <210> 3 <211> 22 <212> DNA <213> Artificial Sequence <220> <223> CDKN2A reverse primer <400> 3 aagtttcccg aggtttctca ga 22 <110> THE CATHOLIC UNIVERSITY OF KOREA INDUSTRY-ACADEMIC COOPERATION FOUNDATION <120> Biomarker for predicting apoptosis of mesenchymal stromal cells          and uses <130> PN1603-084 <160> 3 <170> KoPatentin 3.0 <210> 1 <211> 28749 <212> DNA <213> Unknown <220> <223> cyclin-dependent kinase inhibitor 2A whole SEQ <400> 1 gcccgcgagg tttaggacgg atccaggcag accgcaggct ccgggtcggg gcaccgggtc 60 agcgcgccgg cctgaaggcg gcgtcctggg ctcgacttcc cgcgcgcgga gagccggcga 120 gcccgcgtcc gagttcctgg acgagagccg agcctcgctt agaccgcgct caggacccgg 180 ctcctccgca ttctccggct gcccctgtgt cctcgactca cccctccttt ctgccgctcc 240 ttcctttcct tgccctgctt ttactgttcc caaacaggac cgcttttcct gtctcccagc 300 tggaaaggag gaagggagag agtccagaaa ggatcggtga tgtggaagaa aaggggagga 360 ggggacatgg agggggagac cggagagaga acgtacgccg aggagtcagg cggcgggatc 420 aaggggagtc ggggtgtctg ggcgcggggc agagcgtgga ggcggcagcg gccaacggtc 480 gccaagacaa ccattctacg cgaggacgcg gcgacaggag gggagcggcc agcaggggag 540 gggagcgcgg gggaagagga aagaggaaga agcgctcaga tgctccgcgg ctgtcgtgaa 600 ggttaaaacc gaaaataaaa atgggctaga cacaaaggac tcggtgcttg tcccagccag 660 gcgccctcgg cgacgcgggc agctgggagg ggaatgggcg cccggaccca gctgggaccc 720 ccgggtgcga ctccacctac ctagtccggc gccaggccgg gtcgacagct ccggcagcgc 780 cagcgccgcg ccgtgtccag atgtcgcgtc agaggcgtgc agcggtttag tttaatttcg 840 cttgttttcc aaatctagaa gaggagcgga gcggctttta gttcaaaact gacattcagc 900 ctcctgattg gcggatagag caatgagatg acctcgcttt cctttcttcc tttttcattt 960 ttaaataatc tagtttgaag aatggaagac tttcgacgag gggagccagg aataaaataa 1020 ggggaatagg ggagcgggga cgcgagcagc accagaatcc gcgggagcgc ggctgttcct 1080 ggtagggccg tgtcaggtga cggatgtagc tagggggcga gctgcctgga gttgcgttcc 1140 aggcgtccgg cccctgggcc gtcaccgcgg ggcgcccgcg ctgagggtgg gaagatggtg 1200 gtgggggtgg gggcgcacac agggcgggaa agtggcggta ggcgggaggg agaggaacgc 1260 gggccctgag ccgcccgcgc gcgcgcctcc ctacgggcgc ctccggcagc ccttcccgcg 1320 tgcgcagggc tcagagccgt tccgagatct tggaggtccg ggtgggagtg ggggtggggt 1380 gggggtgggg gtgaaggtgg ggggcgggcg cgctcaggga aggcgggtgc gcgcctgcgg 1440 ggcggagatg ggcagggggc ggtgcgtggg tcccagtctg cagttaaggg ggcaggagtg 1500 gcgctgctc cctctggtgc caaagggcgg cgcagcggct gccgagctcg gccctggagg 1560 cggcgagaac atggtgcgca ggttcttggt gaccctccgg attcggcgcg cgtgcggccc 1620 gccgcgagtg agggttttcg tggttcacat cccgcggctc acgggggagt gggcagcgcc 1680 aggggcgccc gccgctgtgg ccctcgtgct gatgctactg aggagccagc gtctagggca 1740 gcagccgctt cctagaagac caggtaggaa aggccctcga aaagtccggg gcgcattcgg 1800 cacttgtttt gtttggtgtg atttcgtaaa cagataattc gtctctagcc caggctagga 1860 ggaggaggag ataaccgccg gtggaggctt ccccattcgg gttacaacga cttagacatg 1920 tggttctcgc agtaccattg aacctggacc tcccttcaca cagcccctca atcgtgggaa 1980 actgaggcga acagagcttc taaacccacc tcagaagtca gtgagtcccg aatatcctgg 2040 gtgggaatga ctaagacaca cacacacaca cacacacaca cacacacaca cacacacaca 2100 cagtaggaaa ggtgtatttc aagcacactt tctttctcct tggggagaat tattgctaac 2160 catctaagtt ttctggaggc ggcctttttt ctccccagcc tcccggcggg gtcaccctct 2220 cccaccttcc aggagagtgg aggacccgtg agatacgggg cacgcaggca gcgacttcct 2280 gaaatgctaa caaggatcgt aggatcagtt actgctgcga ggagcaagca cttgcttctt 2340 gggggagttt tgcagccaac agggaaatgg gctttctttg tgagttagag gtagaggtcc 2400 ggcggcctga gtgattgaaa ctgctcggga caatgctcgt atgtttagca aacgacagaa 2460 ctgtagaact gttcctgaga aatcccaact gatagtattt tagtcatctc agacgacagt 2520 tagcacagtt taaaaatgag gcctacttct tgaaaaacag aatccaaggt agttttgtcc 2580 tcacattgac aaatgttgac acagccagtg taatttccta taaccaggaa aactgaaaga 2640 atatatgtac agttaaaata tgtacaatgc taattaaaac ttgtgtaata agtctaaaag 2700 taatttaatg aggcttcact tttatgaccg tccttgtggt atgcttcgcc aggaatatat 2760 agcttcaaaa agcaaaggcc agcggagggg taattatttt tttactgcaa tgttaattgt 2820 ctctttgaca tggaaatata aacctgttaa aactatcagt gtttaattta gtgtctcaat 2880 ttctattagc aaaaatttat aatctatagg ataaatgcac attttatttt ttacttttca 2940 tattatgcaa gttaattttt ttaatttagt caaaggagct tataaaggat ttcagggcct 3000 gttgctggat ttgattttaa ttcattttga aacattgaca agaccctggt tgttgttttt 3060 tttaacagtg gtttatccgt atcagcaaaa gtttagccac tgtgaccggt aactgtatga 3120 atatagttct taatattatt gtctatataa aaatatttat tactctagtt aatattattc 3180 tatataaaat cattttgttt aaattattaa gttgcctctg aaaatctgta gtaacaaagt 3240 agaacatgtc aatgtatata aatgccataa ttatgtattt tttagtttag gcctataaaa 3300 cataacattg tggtgatttt aagttagaga aaatatttta tagtatgtta atgtatatgc 3360 atgaaatgca aaaatattta aatgataggt tcattgaaat agatcatttt ttgttattta 3420 ggtataaatc aattttcagg acgtatgtga aaagcgcaat cttcaggaag tttctcaaga 3480 tagaacacag cttggataga atgtcttgaa atatatgcaa ttttccaatt tcatatgtaa 3540 aatgatatac ataatataaa atctagcggt gttaattata atgatatgta attatatatt 3600 tcacattaat atattttatg cccatggcta tattgatttg ggaatatata tggatactaa 3660 ttatgttagg attcatacaa ttccttgaga ggcacaagtg ctaaaaatta cttgtatgaa 3720 ttatttaata tcattgcaaa taagatgtta ttttaacttt ttttaagttt ctgcaaatat 3780 gtttattatg actttttatt tttatatgat tggaaataca tatactaaaa ttccacgtta 3840 ccagtttctt aaccacagaa acctgaaaaa ttgccatagt tgatttgtta cttctacctt 3900 ggtgcattta caaaatagtc atatttttat tatgaagtta aatattcatt tgtttatagc 3960 tacttcagaa ggctcaggtt atttttttct ttaatagcac agagtcctct caaggtaagc 4020 actgtgcagt tagtataaac cattattccc catgtgtaca tgattcacag tttgtattgt 4080 gttccaagtg aaccatagcc ctttcagaaa tcaagactta tattcatttt acttctttga 4140 gtactcttga attttagaaa gtccattatg atcctaaggt agcaacaaca tagcctatta 4200 ccgtctatga tggtttacag atctattatt ccacgttagt tcatcactat caactaccat 4260 gatagagtta agctaaacca ttttcccaac atatgaaaaa ctcctattac taaagtgata 4320 caaatggtat caaaaatact tttttatagc aaggttcaac agtgggccca gtgcttttac 4380 actttttcaa aagtccttgg agaaacagag aaaatctcac ttgccttctg tactaaaaca 4440 ttctaggccg aactaaaact gaaacttcat agtagaacac tgtaggccag gggtgttcaa 4500 tcttttacct tccctgggcc acataggaag aagaagaatt gtcttgggac acacattaaa 4560 tacactaaca ctaacaatag ctgatgagct taaaaaaaaa aaaaaactca tgatacttta 4620 agaaagtgta tgaatttgtg ttgggcagca ttcaaaacca tcctgggctg catgtgaccc 4680 tcgggcccac aggttggaca agcttgccct agctcctcca tctgctgcaa agcccagcct 4740 gatacaaaaa ccaacgtgat aaaaagtttt tgtggtgctt tattttggca gtttaagtta 4800 tataaacaat gggtacagtt tcattttcta aatataaaat ttttacattg aatatgaatt 4860 tttaagacaa attatctgaa ttctgattct catataccta actactaata tcttctctat 4920 ttgttgccca atgagattaa tccacctctt aaacacttca ccatcaagaa aaacaatttt 4980 gtattttaaa atgaacccat ccactttcat tcagctattt tatattcagg catcatccta 5040 aggaaagaaa ggttctgaca aagattaata cagatggata agtagtagca agaaatcaaa 5100 aactgcataa aattctagca ataaagtgtt aaattatggt acagttacat tctggatcat 5160 caggtatctg aagaatattt catagactgt taaatgattg cattataaag tcaggttttt 5220 ttaaagcaag attccaaaca gtaaacagtt tctctctctc tctctctctc tctctctctc 5280 tctctctctc accaaattag ttataatggt ttccgcagga tgagaggggt tgggaaaaag 5340 tttggtgata tttattttct tcgtttcact tttgagtttt ccaaagtgct atgaccatca 5400 tcagtaaaat atacatttcc aaagcctttg acacacggta acagtcctac acagtggatg 5460 aactaagagc ttctctaccc ttagatgggt agggagggag gaaagacaag gaaactgagt 5520 tgtttaagtg tcatacacga gaacgtggct ttaaggtctg ggaaaacctg cgagggctgt 5580 gacgtcagac tgtgaaatgc acgctatgtc cattcaccaa gacgttccat tttaaaaccc 5640 ataaatccgt agctatacct gtttccaagg tgcctcgtgt taggcctctg gtcacagcac 5700 ttggcgccct tcttgggatc tcttctctcc gcccccacta ccccacccca caagcacact 5760 ctagtcccct ccaatcaatt tcaggcaggt ctcgccgcct ccggagccac gctgggggtg 5820 caagggccct ggacccgaaa gagcgcccgc ccggcgacaa gagatgagat gcacgctgct 5880 cctccactcc tcagccccca ccatcctcct cctggatcct aacttcccca ctctctcaat 5940 tcctagagac gctgcggatc ccagaggctt aactggcagc tggaacgagg tcctccaaca 6000 agaatttaga cgctaggtcc aattatcact ccaccgcgcg cactttccgc aggagcgatg 6060 tgatccgtta tcataactgc ggacctgggg ttccacgtgg aagacgattg ggatttcact 6120 ggccgcggtg ggggtgggag cagacagagt ctgagtgggg ttagtggact cgagacgaaa 6180 ggcaggacat gacagaaggc aactctgggt cacctctcca gcttggaact ggctaggcct 6240 tgttttggag gggatgggta gatgaaaagt gagtcagggt tacccggagg aaccacgggg 6300 aaagtgcgct tctgagactc ttgacagcca tttcgttccc ttccaagcca gatggagacc 6360 caagagtgtt gaaaggccac gacttccctc agtttctcca tctgggggtg caggatggta 6420 tagagagtgg cccgtagtat ttttccagtg acgatgtctc tccattgttt tcttcttata 6480 ttgcagcttt ccccatgttt gaaaattttc ttttcaaatg aaatcattga ttagaataaa 6540 aaaaagtaag tagctattaa aacaagatca atttccatga cagtaagcca accgatggag 6600 aaaaccttgg gaattaataa atgaaggatt tgtttggtag atgataaaag gtccttttaa 6660 agggtctgac tcttcctaga aaaacccacc aacttgggac cgcaacagat ttaccatatc 6720 ctaattcatg ctattttaat gtgtattcag caaacccaca tgtgtttaca attgtcgaag 6780 ctaccaaatg tcaatagcgt tttttttcta tttgttgaat gtgaatctct tgtacgaagc 6840 catataaaca gaagaaatta caggaatgat tttaaatcac atacaaaacc aatagtattg 6900 ctagaggaga gttagtcaag gacggcatta tgaagaaagt gagggagaat ttccaaagag 6960 cagaacgata gggcttggtg gaccaaagaa cgtttccatc taaagggaat ggcaaatact 7020 tagagtctct gaacccactg aatcttggac tatttaacta atatttgtag ttccagatat 7080 agcacagtgc cttgtacata gtggtatttt taaaaatata gtgcctcgta gatttttttt 7140 caacttttat ttaggaggag agggcacatg tgcaggttaa ttacaaaggt atattgcacc 7200 atgctgaggt ttcgagtacg actgaatctg tcactcaagt agtgagcaca gtacccacag 7260 taggtagtat ttcagccctc gctcattccc tttctcctcc atctagtagt ccccaatgtc 7320 tattgttctc atatttatgt ccaattagca tttgtttttt aaaaagggtg gttgaagaaa 7380 ttctcagtgc ttgtcagtgt ctctcagtgc attcatttaa ttcatgagcc ctggaatgat 7440 ggtttcattt gggcagaact ctacaatcaa aaagaagtaa taaaagggaa aaaaaagtga 7500 aagccatcaa ctacaggatt gaaattccca aagcatcaga ggtcctttca aaaaatagta 7560 tgttgatttt taatttttat gacttattgg ctttgttcat gaaaatataa acatgttatc 7620 acaaaggatt ttttaattca actatttctc agttttctct ttcaccttca aaataaaata 7680 tcataaatta tttaaatggt tgtgaaggca gtaggatttt tttaagagag aaaagtttta 7740 tagaggttca gaattacatg aacaaagaca tgtaatctct taagcaaatt gaaactaata 7800 aaatcgtaca atcaaggtaa cgtaaataaa aaagcctctg ctttcttaat tgaattatgt 7860 gagtaactag aaattttaaa agtatggcaa aggttaacaa cagcattatt acctgggctg 7920 cctttaaaaa tacatatttc tggggttcac gttcagaaaa tttgattcag atttgctgtg 7980 ggtcccagaa atctgcattt taaataaaca cttgaaggag atactaatac aagtggccca 8040 ttgggacaca atttgacaaa tatgaccaat tttacttttt aaaccttatt tctgcttctt 8100 tatctttgaa ttgaggtcca ggattttagg taagatttta agtttagagt cagtttactg 8160 gatcccaggg aggagagtct gagtaatcag tggaggagtt atttcaccaa atgaaggaga 8220 ccctttatta ttatgtgacc ctttgtatga attggaaaag aatgtcttgt agataccaca 8280 tttttacagt cagaacatag tttgagagaa aaaaatataa caagatatat ttgtgtttta 8340 aagcttacag aaccagacag aaaatttcca cataagctat ataagatacg ttgtcttttt 8400 aaaacactat atacacttct ttctgttcgt gcaggatgaa tggatctctc tctctctctc 8460 tctctctctg tgtgtgtgtg tgtgtgtgtg tgtgtgtgtg tgtgttgtaa taaggggttt 8520 ctttcatttt atgatccaga ccaggctcgt aataaacatg acaacctaaa attatgtaaa 8580 aaagaaaaat caaagcacaa gtgtttcaca ggtttaactt atgcttatct aagatcaggg 8640 caagattgca ggaaaatgta gccataacag aataaagcat ttatggacaa aatgatgggt 8700 ctttatgtct ctgtaaaagc acagtgatgg ggggggaaat atagatgaaa aatgtaagct 8760 aaaaagtaac aattataaga aaaactaaaa tatcatgcct ttcaaatgat catttttctg 8820 cttttaagct aaaatttgtc taatattaca ccagtgactt tgctgatgta ttaggaaaaa 8880 gcttgttttg ctttcttttc tcgagtgcca ccattttctt gctctcattc tctttcaggc 8940 tgccagatca tctgactcag caattgtata actctctcac ccaatttaaa gaaacagcag 9000 ctgtctagag aacaatgact cccccagttg aacatctaat tgttaaatgt ccaacatcgg 9060 acactttgaa ttttactcca tgcaatttac atgctgaata gttgaagttg aatatattat 9120 atttaacatt taatttttaa aagcttattg aaactttctt cctaaatcac atggtaaagt 9180 tattgttttc ttcaaaaaca attaggagga gcttaacaat aataggacac ttcaacttcc 9240 attatctaat ttaattatca caatatcctt atgttttcaa tgtttcattt tttcattttg 9300 tagatctgga gactgaggct cagataggtt gcatggccta ccaaaagtca ttgactagta 9360 attcatatat agttgaactt ggttgcccat ggagtgctat aaatatgtat atggtttcag 9420 ttccatctct tttagttaac tattattttg aaagtcgctt aacccctttg ggcctctact 9480 atactcaagc atcagccgta taagtcacaga taaatattta ttggttgaaa ggaggttaac 9540 atctttcaaa aatttatttt ttgaccaaaa taaaaccagt gaaaaattct catatgactg 9600 tacatataaa ttacttattc ctaccttaat ttaaaagcaa taagtgggat acctattcac 9660 cagcakhga accacttgaa gcgtgcagtt gaaagattac tttctttagc attcacatga 9720 cctgtgagca gattctattt cttttgctta ttagctgtca tggtaccaga atgaagtatg 9780 agaaactctc agtgctttca tgttctcatc tgtaaacctg agaccctatg gtagtcccgt 9840 aataagaggt agataaaata gtatgtgtga agagtcactg taaactttta cacagtgtac 9900 gtttgtcagt tattatagtg cctaattaaa ctatgccctt aagaaagcac attagttttt 9960 tacagtaaat acctacttca ttataatttt tcagtgtagc tagaaatttc taaactccac 10020 tttaaaaata tacatatcat aataaaaata tatttatgta ttcagactcc tggtatgttc 10080 caaggtgtta ggtaaaatca gtgtaaattt gcatactttt aaattcacat ctgtacagaa 10140 gatctatatg gtggccttta gggtatacct ctaagctatt ctagtattca taatcattaa 10200 agagatatta agcagtgttt gtgaacccct gttttctaag acaggaaatc aaggtagctt 10260 tagaaaactg gaaaaaaagt tattagtcta tctatctaat aacccagaat aataatttcc 10320 aaaggaatca ctgaagataa ctggattttt aattccttca gaatggttgt cacagtctga 10380 atatctgaat caacagtttt gaccaaaaca attttctaaa aattctttag tataaaaaat 10440 tatgtgtgtg tgtgtctgtg tgatgaaagg aatgataggc agaaacatta ctgtcatcct 10500 tacgacattc aaaatgccta ccttggaggg tgaccttcag ttatttttat gcaaatgtga 10560 agaagttatt tagaagtagg atatcaaaga gtaacacaaa atacactaaa tagtatgctt 10620 tcttaaggct aaattgactt gggggtttta aatcagtaca gagtaaacat acagtatatt 10680 ctgttatcat tgcctttttg aaaaattaat tatggaagtt atcatcttaa ccgtaacaac 10740 acaaaagata aaactctacc ctcaacccag agactcaaag gaaaacatga gtggaaatgt 10800 taaatctgta tgtgaaaagt gctaaaacat gaataggaag cagttactta tttaatcaaa 10860 gttgattata tttcatcaag aagttgattc ccttgagtgg agttgaatca catatcaggt 10920 gaagaatgtg atttggggaa gaatggtcta acacaagaaa attttcttgc aatctttaat 10980 aatatcagag gggagattgg cttcagaact ctcctaagtt caggaaagga cacagaaaat 11040 tgaacataac agtaagacta tagagtccca agaaagcaag ctacttttaa aggatagttt 11100 tttagagggg caaaaggggg acaaccattc tccatttgat gagaaaagct tccatgtaga 11160 tggtgcccct gaaattagag tatcctaaac cagtgttaaa cctatcagtg aaacatgaat 11220 attaaacctc cactcccagt agtgaaaacc gaatacatta ttatttatct gtgactttca 11280 acattatctc agaactctaa cagcacatgc gtacatcagc agcataagca gaaatgagat 11340 attatatatg cttgtgttag caattaaaaa ggacagcata tttgagaggg gaaaatctgt 11400 cctatcaaga atgaaaaaga gggaggttag gaaaagtagt ttagagaaag taaattttgc 11460 aattcctcag ttttaactgt agtttctcca ttgtaccttc cacttgaaat gcactccaag 11520 cagtggaggt gggtagcaat gaatgcagag gaaacactga acacagtgac actctccagt 11580 gtcacttctc atgatttaat gaggggtttt ttttggaaat tcttctgtca taacatggga 11640 aactttgtta caaagaagct gttttttcag agggttagaa ttcagaggta gcatcatacc 11700 ttttagaaga gaatttgctt gttgaaacca cagatacctg ctagaatgta caggaattaa 11760 tgaaaaatta ctcaaaagga catttatttt gatgacctaa atgaataact tcatagtaaa 11820 tgtcatatat attctcaaaa aattaaaaag caccatttat tgagagccta ccgtgcaccc 11880 ggatttttat atatctgaca ttctttattc ctcacagtaa ccttatgggg taaattttat 11940 tttccccact ttgtgaggtg aggaaataaa ggctcagaaa gtttacataa cttattcaag 12000 cccacagagc tggtaaatga gaggtcagtt ctatctgagt ttaaagacta ggcttgtccc 12060 acttgcatat gtgtcatttc caaaattatg attaaggata tggttggcat ttcccgccac 12120 ccacattaag tccaattaag tagctgtggc catagaaaga atggagaatg gagagaggaa 12180 ctgacttcaa cagctacagc aaacatttat tagctgagta accatagcta catagttcct 12240 caatatgtac cactcctcca ttttgttatc tataaatcaa aatggtggct ttttaaaaag 12300 cagttttaca atatattcaa gagccttcta ccctttgaaa aactgcaata ctatttttag 12360 tagcaattag aaacacctta aatatctgac aacagggaca tcattaagta aattataact 12420 ttttccagtg ggatgtgtta cagctgttaa aagtagcatt tatgaagtgt ttttggagaa 12480 gtttggaaaa tgctgtaata agttagaaaa agctcatttc aaaattgcat aatattcaca 12540 atgtaaagat taagcaaaga aaaaggaaga agtatttcaa aatgttaata attattgctt 12600 tgtgtggggt agtttttcat tttctatgtg cagctaattc cttaattatt tttaaatatg 12660 tgagctttaa tcaggaaagc aaatcattca aaaatgaggg gactgaatta agtgactttc 12720 aggggacttt gcgtgtcttt gagttccaaa tttctatcac tatgtattac tactgaagaa 12780 taatcataga agcacagtag tttctgaaaa tggagagtca gtaatcttgg cccaggtttt 12840 gcaacttgct ctaaagcaga gtcctcaaag aaaaggaagc attgatgagt tgtccacaat 12900 gtactggata aattatcatt aggaaaacat attgtagtag ggagagtgag gacctctcaa 12960 acagaactga gaaccttaag tttgaacttt tcttttcctt attacttaag cactctgagc 13020 tttttttttt gtctgcatta tgaagaaaga ataatactct ctatcccatg ggacagctgt 13080 ggaattataa attacacata taaaactgct tgatgcttgt cacatagctg ggggttgaaa 13140 aaatgatagc cattattttc ttggcaactt ttaatgaatt ttttattatc tctatttctt 13200 tctgcctatc tcctctaatt atgtttatta cttattttgt tcctcaggat gaggtcaatt 13260 ctcaatatct gtgctgtaca taatatacat atataccaaa tatgtgcata tagtatgtac 13320 atacatacat actgtgctaa tcttttagtg ttctcagctg atcaaatagc tacaaataga 13380 tataagtaat tcgccacaag taatttatca acataaaaaa aatttacaaa aaagttaagg 13440 aataattgtc tccatgagct gcaaagatcc ctcatttcac aagagtacac cctagagata 13500 ttttaatagt aaatttctca catagattta aaatcacatt tgttttgcac ataatttaga 13560 aaagatacct gctatataat aagtaatata cttttaagtt tccttcaaaa tattcttggg 13620 aagatgataa taggtactgc taattctata cccagttaac attttggaaa ctaaggttga 13680 aaattgtgac ttaactataa ttatgcatta aatctacaac acatcaaaga attttgcatt 13740 ttgtactcct tactaagatc cagtttgagt aggaagataa attttacagt aattctgaat 13800 gagggaagtt ggcacagagt ttctaaaaga gtaccttcct tatagcaaat actaaataat 13860 tgtgctatat tgaatttaat taaatagaga atagtaaaag ggagaaagaa acatccaatg 13920 ttttgaaact tctagagatc tactcccagg gacacattgt tttttcttag caaatctgtt 13980 tggaggtctg ctctactttc tcagaggtct ccctttcatg ctgaagctat cttttttcct 14040 tgtggaacat aagtaattaa ataccttgca attatttacc taagaaagtg tttctttccc 14100 gtttaaaatg ctcttaccac ccacattgga ctcgattatc agaattttta tccggggcag 14160 cttcaggagc actttggcac ttcggggcta aaccacaatc tgtttttaca tgtttgtgat 14220 tatacccgtt ttgtagatca agacattgaa gctagtaaaa aaaaaaaaaa gtcatttttt 14280 cagggtaaca aagtaggtgg tagaactagg acagggactc taatttcctt acattattgc 14340 ttttctaaat taaagggatg catggaatta ttcctccatt gcctttgcct tcaaataatt 14400 atctattgca cccaacatcc tattctagaa ctcatctatg aaggcttaac acagctgtac 14460 ctgggagctc cattacaggg catatatctc gctctcataa gctacttcct aaggaattct 14520 ctttaattat gggagctttt ccagactctg aaatcttttt ttcctggtaa cacaagtgtg 14580 aggtgtcatt tatcagaatg catcacccca gtcttccctc ctcaaatgat tactgtaggc 14640 tccactcaag agctcatccc agttcaagac caccttcctc ctccagagaa gcaaatatat 14700 atatacacgt atatatatat atacacgtat atatatatat acacgtatat atatatatac 14760 acgtatatat atatatacac gtatatatat atatacacgt atatatatac acgtatatat 14820 atatatacac gtatatatat atacacgtat atatatatat acacgtatat atatatacac 14880 gtatatatat atatacacgt atatatatat acgtgtatat atatatatac attttttttt 14940 tttgagacgg agtctcgctc tgttgcccag gctggagtgc agtggcgcga tctcggctca 15000 ctgcaagctc cgccccccgg gttcacgcca ttctccttcc tcagcctccg gagtagctgg 15060 gactacaggt gcccgccacc tcgcctggct aattttttgt atctttagta gagatggggt 15120 ttcaccgtgt tacctaggat ggtctagatc tcctgacctc gtgatccgcc cgcctcggcc 15180 tcccaaagtg ctgggattac aggcgtgagc caccgcgcct ggcagagaag caaatatatt 15240 gatggttgtt accaatacat gctcttgact aagaaacctt ctttcttaat taatattgac 15300 aactttaagc cgagtgcctg acatatatta ggtactcagt tactcttttt caactaaagt 15360 tatgaatgat gattctaata aaagtaactt atttgtctac tagttttatt atgtttattt 15420 aattcattag aaaggccatg gacatagtac aaaattcaaa caatataaat catggaatgt 15480 gaaaagtaag tcacatgccc atcccagttc ttcatttcct tacctcacag gtaacagctt 15540 ttcctgtatc tccccagaga tattctatgt atattttgtt tttaacacca agctatattt 15600 aaaacaatta tctttaataa taatgttaat attgaaactg gtaaagaaat atgtgtgtat 15660 tatctcacct caagcgtaaa caatagaaca agagagagcc cattttgaaa attatggaca 15720 atgaatctag aaataatctc aaaagatttt gcagtcaaaa aatagttcat tagatacatg 15780 agaactgtca cttggtctca gtgtagagct attgcctcaa ctccctttat tttcctaaca 15840 aaatcatctt gcttatccca tgaaatacgt gcatattgcc aatcctacaa tgccgcatca 15900 gaaccagaac ccaactctgg aacactacct tctcaagtat ctttctgtct ctttatggta 15960 atatgttgaa ttaatattca catctattat gactagtctt tgatttgtag ggttgctgaa 16020 gtagtagcac cactgcaggg ctttctttag tttaaagaaa gtaatcaggt gtccctactg 16080 tgtcatgatc tccaccctca gctgggttct ccagtctggt tttaaagaac aaaacaaaag 16140 gcttctctgt ctgagtctta ctcaacccat cctctctact cataagaggt attccaaacc 16200 tttacgattc tcaaacttcc taaccgacca tcttattttc actctgcaaa caagctaacc 16260 tcctcattca tagaaggaag tgcctcaact tcctccccgt tctgaccttt tctccctccc 16320 aaatctatgt atctcttgtg acaaaatcta taaccaccgc tgtactttga gttctatttc 16380 ttcattattt ttgagggacc tcaagtcctc aaaaatatcc tatcttgcct gtgtacttaa 16440 cttttctttt attcttttct aactttccct tctcttcact tggcacttgc ccttccaggt 16500 atatgtgtgc tcaggtctcc tccaccttcc atctgcctca cttcatggca tagggccttg 16560 aactatcaca accaagctat gaaagagtag tcaacgcagt gtccccactt ccttgccatc 16620 ccattatcct agtttttctt ttggctctct gaggagtcct tcacaggctg gttttcagga 16680 ataagtctaa atgaatcact ttcagttttc ctaaacttct atgcctttgc acatcctctt 16740 acctctgcct agaatatctt tctccttctt ttccatcttt aaactctcac atcattcttc 16800 aagactggga tcagctctca gcatccggaa gcctttgcct actagagaca aatgagaatg 16860 agtttggtca ccttttcatt ttcttgtatc attctgtgct ttattttgct cttctaagag 16920 cgttacatgc ttcatttaat ccctaaacaa ctgtttgagg caagtacagt tattatccta 16980 atcatgcaaa tgagaaaaca gaggcccaga catgttgagt aactttgata aaagttaaag 17040 aaccaataag tggaacagtt gaggtttgaa ccctggcagt ctgactgtag agatactatg 17100 tttgacctac tcccctctgc ccccacccca tgtctgccct tagtttctct gcttgttgaa 17160 tgaatgaaca ggtggtagtc tttttttgtt ataagactga tcagaattaa gacaggttta 17220 aatttcacgt gtagaatttt caaaactgca aaggcagtgc aaatctaaaa aaagaatggc 17280 attctcagga aagaggaaaa gtaagtgtga gaataataat aacaataacc aacaaacttt 17340 agtaaattta gtaaatgtag taaattttta cattaaaagc ttttggacat acattatcat 17400 attttatggc cacatgaaat atattataat cccattttgc acataggaaa tctgagactg 17460 gcataaggag cacagagatc caggacttta tattttcatt cttctaggat tttgcacctc 17520 aggtcgatat gtatgagtaa actgggagta taatgggctc tttaacagaa aaactaggaa 17580 agttttcccc ctattattaa ttatttacat aatatttttt taattttatt attatttata 17640 ctttaagttt tagagtacat gtgcacaatg tgcaggtttg ttacatatgt atacatgtgc 17700 catgttggtg tgctgcaccc atcaactcat catttagcat taggtatatc tcctaatgct 17760 atccctcccc cctcccccct acataagatt tataatggat aatggacttc aatttctaga 17820 gcaaaatggc cccacccaag gatgccataa tccttccaga gctctactgc aagatatgag 17880 atatacatat ctaaaacttg ttcttggtat ttccaaagca gtcaactttt acacctgttt 17940 ataatgcatc caaatgttgt ttttatatgg ttgcatctcc catcttcttc accaatagct 18000 atatatattt ttcacaagag ctgaaagagt tcttgatgta ggaatccatg gtagagtttc 18060 agagaaatcc ctgaattcac tgaaagtttt atctagaaat acatgtgcaa gtgaacacat 18120 cttttttaaa aaaaatcatt acctactttc ttttttgaga agaaggtatt tatttcaaca 18180 gactcttgaa ggagcctact cttcccactc tcccaccccc attaagaacc actgtaggcc 18240 gggcacgatg gctcatgcct gtaatcccag cactttggga ggctaaggtg ggtggatcac 18300 ctgaggtcag gagttcgaga caagcctagc caacatagtg aaaccccgtc tctactaata 18360 atacaaaaat tagctgggta tggcagcatg tgcctgtaat cccagctact cgggaggctg 18420 aggcaggaga attgctcgaa cccgggaggc ggaggttgca gtgaaccgag agagatcgtg 18480 cggtgccatt tcactccagc ctgggcaaca gagcgaaact ccatctcaaa aaaacacaca 18540 aaacaaacaa acaaaaagaa agaaccattg tattagtgat ggaaatgtgt tccctccctc 18600 ccatcctggc aaccactttc ttcctcctcc atcataaaat atcttaaact aaactaaaat 18660 aattttattt atcgatagtt tgaattttcc ctatcattgc tacacagcta attgagaggt 18720 accccgagga aaatataaat ggtacagtaa tgcattgtag attttaataa catacttgac 18780 atcccaaatt gttttcattg gcttcatttt aaaaactaca tgttttaaaa tcaagcagac 18840 actaaaagta caagatatac tgggtctaca aggtttaagt caaccaggga ttgaaatata 18900 acttttaaac agagctggat tatccagtag gcagattaag catgtgctta aggcatcagc 18960 aaagtctgag caatccattt tttaaaacgt agtacatgtt tttgataagc ttaaaaagta 19020 gtagtcacag gaaaaattag aacttttacc tccttgcgct tgttatactc tttagtgctg 19080 tttaactttt ctttgtaagt gagggtggtg gagggtgccc ataatctttt cagggagtaa 19140 gttcttcttg gtctttcttt ctttctttct ttcttttttt cttgagacca agtttcgctc 19200 ttgtctccca ggctggagtg caatggcgcg atctcggctc actgcaacct ccgccttctc 19260 ctgggttcaa gcgattctcc tacatcagcc tccgagtagc tgggattaca ggcatgcgcc 19320 accaagcccc gctaattttg tattttttag tagagacagg gtttcgccat gttggtcagg 19380 cttgtctcga actcctggcc tcaggtgatc cgcctgtctc ggcctcccag aatgctggga 19440 ttatagacgt gagccaccgc atccggactt tccttttatg taatagtgat aattctatcc 19500 aaagcatttt tttttttttt tttgagtcgg agtctcattc tgtcacccag gctggagggt 19560 ggtggcgcga tctcggctta ctgcaacctc tgcctcccgg gttcaagcga ttctcctgcc 19620 tcagcctcct gagtagctgg aattacacac gtgcgccacc atggccagct aatttttgta 19680 tttttagtag agacggggtg tcaccatttt ggccaagctg gcctcgaact cctgacctca 19740 ggtgatctgc ccgcctcggc ttcccaaagt gctgggatta caggtgtgag ccaccgcgtc 19800 ctgctccaaa gcattttctt tctatgcctc aaaacaagat tgcaagccag tcctcaaagc 19860 ggataattca agagctaaca ggtattagct taggatgtgt ggcactgttc ttaaggctta 19920 tatgtattaa tacatcattt aaactcacaa caacccctat aaagcagggg gcactcatat 19980 tcccttcccc ctttataatt acgaaaaatg caaggtattt tcagtaggaa agagaaatgt 20040 gagaagtgtg aaggagacag gacagtattt gaagctggtc tttggatcac tgtgcaactc 20100 tgcttctaga acactgagca ctttttctgg tctaggaatt atgactttga gaatggagtc 20160 cgtccttcca atgactccct ccccattttc ctatctgcct acaggcagaa ttctcccccg 20220 tccgtattaa ataaacctca tcttttcaga gtctgctctt ataccaggca atgtacacgt 20280 ctgagaaacc cttgccccag acagccgttt tacacgcagg aggggaaggg gaggggaagg 20340 agagagcagt ccgactctcc aaaaggaatc ctttgaacta gggtttctga cttagtgaac 20400 cccgcgctcc tgaaaatcaa gggttgaggg ggtaggggga cactttctag tcgtacaggt 20460 gatttcgatt ctcggtgggg ctctcacaac taggaaagaa tagttttgct ttttcttatg 20520 attaaaagaa gaagccatac tttccctatg acaccaaaca ccccgattca atttggcagt 20580 taggaaggtt gtatcgcgga ggaaggaaac ggggcggggg cggatttctt tttaacagag 20640 tgaacgcact caaacacgcc tttgctggca ggcgggggag cgcggctggg agcagggagg 20700 ccggagggcg gtgtgggggg caggtgggga ggagcccagt cctccttcct tgccaacgct 20760 ggctctggcg agggctgctt ccggctggtg cccccggggg agacccaacc tggggcgact 20820 tcaggggtgc cacattcgct aagtgctcgg agttaatagc acctcctccg agcactcgct 20880 cacggcgtcc ccttgcctgg aaagataccg cggtccctcc agaggatttg agggacaggg 20940 tcggaggggg ctcttccgcc agcaccggag gaagaaagag gaggggctgg ctggtcacca 21000 ggggtgggg cggaccgcgt gcgctcggcg gctgcggaga gggggagagc aggcagcggg 21060 cggcggggag cagcatggag ccggcggcgg ggagcagcat ggagccttcg gctgactggc 21120 tggccacggc cgcggcccgg ggtcgggtag aggaggtgcg ggcgctgctg gaggcggggg 21180 cgctgcccaa cgcaccgaat agttacggtc ggaggccgat ccaggtgggt agagggtctg 21240 cagcgggagc aggggatggc gggcgactct ggaggacgaa gtttgcaggg gaattggaat 21300 caggtagcgc ttcgattctc cggaaaaagg ggaggcttcc tggggagttt tcagaagggg 21360 tttgtaatca cagacctcct cctggcgacg ccctgggggc ttgggaagcc aaggaagagg 21420 aatgaggagc cacgcgcgta cagatctctc gaatgctgag aagatctgaa ggggggaaca 21480 tatttgtatt agatggaagt atgctcttta tcagatacaa aatttacgaa cgtttgggat 21540 aaaaagggag tcttaaagaa atgtaagatg tgctgggact acttagcctc caattcacag 21600 atacctggat ggagcttatc tttcttacta ggagggatta tcagtggaaa tctgtggtgt 21660 atgttggaat aaatatcgaa tataaatttt gatcgaaatt attcagaagc ggccgggcgc 21720 ggtgcctcac gccttgtaat cccttcactt tgggagatca aggcgggggg aatcacctga 21780 ggtcgggagt tcgagaccag cctggccaac aggtgaaacc tcgcctctac taaaaataca 21840 aaaagtagcc gggggtggtg gcaggcgcct gtaatcccag ctactcggga ggttgaggca 21900 ggagaatcgc ttgaacccgg gaggctgagg ttgtagtgaa cagcgagatg gagccacttc 21960 actccagcct gggtgacaga gtgagacttt gtcgaaagaa agaaagagag aaagagagag 22020 agaaaaatta ttcagaagca actacatatt gtgtttattt ttaactgagt agggcaaata 22080 aatatatgtt tgctgtagga acttaggaaa taatgagcca cattcatgtg atcattccag 22140 aggtaatatg tagttaccat tttgggaata tctgctaaca tttttgctct tttactatct 22200 ttagcttact tgatatagtt tatttgtgat aagagttttc aattcctcat ttttgaacag 22260 aggtgtttct cctctcccta ctcctgtttt gtgagggagt taggggagga tttaaaagta 22320 attaatacat gggtaactta gcatctctaa aattttgcca acagcttgaa cccgggagtt 22380 tggctttgta gtcctacaat atcttagaag agaccttatt tgtttaaaaa caaaaaggaa 22440 aaagaaaagt ggatagtttt gacaattttt aatggagacg ggagaagaac atgtagaaaa 22500 ggggaaatga tgttggctta gaatcctaac tacattggtg tttaatatag gaacatttat 22560 ttatataaca ttttaaagta ctaaattcat attagtatat tatcaaatgg atatattatc 22620 aaatgggttt aagcatccta cacattttaa ttcaattgat tcattttctt tttgctttgg 22680 atttctatca tgatttaaat atttacatat gggttacttt ttagattttt catactatga 22740 aaacctttaa ggctagtttt atgaccaaga cgaaggactt cattgaatac 22800 acaaaacaat aaatatactg caacattttg tctttctttt tgtagctgca atttggtttg 22860 cttatacttt ctctttgtct ctttgaaaac tgagtcagtt tcactttctc aggacaggat 22920 ttaataacca taatataatt tagtataatt ccttgattta ggcaaattat gcaatttgtg 22980 tttagtatga aatgtaccta aaaataagta actcctcttt aacaccacca tcctcaaact 23040 aatataacaa ataacagtta tcctaaaata aattgtctac ttccaccatg cagcactcaa 23100 attttaaggt tgctatgact gcagacagta ttttaaaatt cctctctgga aatggctttg 23160 tttccaagat gatttaggaa ccaaagaggt gaccatctct tgtttaatga actctcaaat 23220 cataaacctg ggaagtgttt tagtttccta ctgctgctgt tacaaattat cacaaatgtg 23280 ttagctaaaa caaacacaaa attattattt tacagttcta gagatcagaa gtcaaaaatg 23340 ggtccacaag gtttcattcc ttttggaaac tctaaggggc aatctgtttc cttgtctttt 23400 ccagcttcta gtgaccatca aattccttgg ctcatggtct ctgtattttc tctgtggcct 23460 gtgcttccat tcttgtatct tctctctgac tgtgaccctc taataaaaac acttggggtt 23520 atgttgggcc caccctgaaa attctggata atctccctca agaccattaa ttaaatcaca 23580 tctgcaaagc ctcttttgcc acataagtta atgtattaaa agtttttgag gattaggaca 23640 tagacattgg gggtgggggg gcattattca gcctaccaca ggaaggaatt ttagggttaa 23700 ttaaactagc cttcttattt tatacttgaa gaaattgaag ttttggaatt ggagagcatt 23760 atgctaaatg aaataagcca aacacagaaa gacaaatatc acatgttctc acttatctgt 23820 gaaatataaa acaattacat tcttagcagt aaagagtaga atggtggtta ctagagctgg 23880 ggggtgggag gaatggggag atggtaatca agatataaag cctcagttaa gatgggagga 23940 ataagtttga ttgttttttt tgagatgtgt ttcatagcat gatgaatata gctaaatagt 24000 aaatcccaaa tgctctcatt tgacaaaaat gtcaaatatt tgagatgatg gataggttac 24060 ttagcttgac ttaataattc cccattgtgt tcaaagatca taacttcata ttgtaccaca 24120 taaatatata caactgtact atcccaatat ataattttaa aactaatata atgaaaaaga 24180 aattgaagtt caacattccc agaagctaag tgtaacttaa aagttttgtg agaatttgtt 24240 ttaacaaaca aacaagtttt ctctttttaa caattaccac attctgcgct tggatataca 24300 gcagtgaaca aaaaaaaaaa aaaaaatctc caggcctaac ataatttcag gaagaaattt 24360 cagtagttgt atctcagggg aaatacakga agttagcctg gagtaaaagt cagtctgtcc 24420 ctgccccttt gctattttgc ccgtgcctca cagtgctctc tgcctgtgac gacagctccg 24480 cagaagttcg gaggatataa tggaattcat tgtgtactga agaatggata gagaactcaa 24540 gaaggaaatt ggaaactgga agcaaatgta ggggtaatta gacacctggg gcttgtgtgg 24600 gggtctgctt ggcggtgagg gggctctaca caagcttcct ttccgtcatg ccggccccca 24660 ccctggctct gaccattctg ttctctctgg caggtcatga tgatgggcag cgcccgagtg 24720 gcggagctgc tgctgctcca cggcgcggag cccaactgcg ccgaccccgc cactctcacc 24780 cgacccgtgc acgacgctgc ccgggagggc ttcctggaca cgctggtggt gctgcaccgg 24840 gccggggcgc ggctggacgt gcgcgatgcc tggggccgtc tgcccgtgga cctggctgag 24900 gagctgggcc atcgcgatgt cgcacggtac ctgcgcgcgg ctgcgggggg caccagaggc 24960 agtaaccatg cccgcataga tgccgcggaa ggtccctcag gtgaggactg atgatctgag 25020 aatttgtacc ctgagagctt ccaaagctca gagcattcat tttccagcac agaaagttca 25080 gcccgggaga ccagtctccg gtcttgcctc agctcacgcg ccaatcggtg ggacggcctg 25140 agtctcccta tcgccctgcc ccgccagggc ggcaaatggg aaataatccc gaaatggact 25200 tgcgcacgtg aaagcccatt ttgtacatta tacttcccaa agcataccac cacccaaaca 25260 cctaccctct gctagttcaa ggcctagact gcggagcaat gaagactcaa gaggctagag 25320 gtctagtgcc ccctcttcct ccaaactagg gccagttgca tccacttacc aggtctgttt 25380 cctcatttgc ataccaagct ggctggacca acctcaggat ttccaaaccc aattgtgcgt 25440 ggcatcatct ggagatctct cgatctcggc tcttctgcac aactcaacta atctgaccct 25500 cctcagctaa tctgaccctc cgctttatgc ggtagagttt tccagagctg ccccaggggg 25560 ttctggggac atcaggacca agacttcgct gaccctggca gtctgtgcac cggagttggc 25620 tcctttccct cttaaacttg tgcaagagat cgctgagcga tgaaggtaga attatggtcc 25680 tccttgccct tgcctttcct ttttgtgatc tcaaagcatc ctccctccgc ccccattcca 25740 tggccccagt tccctactcc cacagctgtc tgctgaaact gccaacatta ctcaattgtt 25800 tctgggggga ggaacatttt tttttgaaac aaaatagata tatgaaacag tacacgggaa 25860 ttaacacgaa tatttaaggt aaaacatgac cttgaagatt atgaaatcca tcttattttg 25920 gcccagaacg ggggcattgg gctccttggg ccatagggga gctggggagg acagggtgaa 25980 gagttagctc taagccctct gcttggagat gctgtaaata cagaacgcaa aatcaccttc 26040 cccgccaatt ccctccagtt acagctagca tccaggtccc gggaggtgaa gaaggagact tcggctccag 26160 ttacagctag catccgggtc ccgatttaga aggagctgcc aattacagcg cggttccagg 26220 gctgagcaaa aagcctgagg agccaagtgg gagagggagt aaaactactg aattgggcca 26280 caagcaaatg aataaactga acgactctta accaaaccta atatatttaa tccaaacaca 26340 caagtctttc atttcttccc tcctcccttc cttctcttac tccccaacac cccctcttca 26400 agcacaatta attatatggt tagattctac tgcgtgatca gccctgttct aggtggtggg 26460 cacgccaagg tgaatgagac caaacaagag tcttgccctc atggggttta catttggaga 26520 cagagtcgat ctgttgccca acctggagtg cagtggcgcg atcacagctc actgcagcct 26580 caaactccct ggctcaaggg gttctcccac ctgagcctcc cgactagctg ggaccacagg 26640 tgcacgccac gacgcctggg tttgtttgtt tgtttaatag agacgaaggt ctcaccatgt 26700 tatctgggct caagcgatca tcccccctcc tcctcctaaa gtactgggat tacagtccca 26760 agctatcttg cccgacctgg gaaacagacg ttaaggaaga taacaatcta ttttcagaga 26820 gcgagtttat aaaaccaatg caatgggtaa atatgaagtg tgaataggag gagaagctaa 26880 agagtggtcg gagaatctaa tgcaagctac gggagaaaga aactcaagtg caaatgctgc 26940 ctcaggaata aacgtaaaaa gagactttca agtgcaaatg ctccctcagg aataaaataa 27000 tcttgagact ctcaagtgta aatgctgcct cgggagaacc gaacggcgag ctggagccca 27060 tacgcaacga gattagagag gaaggcagaa gccagagcac atgaataaat gagcatccat 27120 tttgtttcag aaatgatcgg aaaccatttg tgggtttgta gaagcaggca tgcgtaggga 27180 agctacggga ttccgccgag gagcgccaga gcctgaggcg ccctttggtt atcgcaagct 27240 ggctggctca ctccgcacca ggtgcaaaag atgcctgggg atgcgggaag ggaaaggcca 27300 catcttcacg ccttcgcgcc tggcattgtg agcaaccact gagactcatt atataacact 27360 cgttttcttc ttgcaaccct gcgggccgcg cggtcgcgct ttctctgccc tccgccgggt 27420 ggacctggag cgcttgagcg gtcggcgcgc ctggagcagc caggcgggca gtggactagc 27480 tgctggacca gggaggtgtg ggagagcggt ggcggcgggt acatgcacgt gaagccattg 27540 cgagaacttt atccataagt atttcaatgc cggtagggac ggcaagagag gagggcggga 27600 tgtgccacac atctttgacc tcaggtttct aacgcctgtt ttctttctgc cctctgcaga 27660 catccccgat tgaaagaacc agagaggctc tgagaaacct cgggaaactt agatcatcag 27720 tcaccgaagg tcctacaggg ccacaactgc ccccgccaca acccaccccg ctttcgtagt 27780 tttcatttag aaaatagagc ttttaaaaat gtcctgcctt ttaacgtaga tatatgcctt 27840 cccccactac cgtaaatgtc catttatatc attttttata tattcttata aaaatgtaaa 27900 aaagaaaaac accgcttctg ccttttcact gtgttggagt tttctggagt gagcactcac 27960 gccctaagcg cacattcatg tgggcatttc ttgcgagcct cgcagcctcc ggaagctgtc 28020 gacttcatga caagcatttt gtgaactagg gaagctcagg ggggttactg gcttctcttg 28080 agtcacactg ctagcaaatg gcagaaccaa agctcaaata aaaataaaat aattttcatt 28140 cattcactca tttattgtca acatttattg agcacctatt acaacaattt catcgcatgg 28200 aagacagcat cgtttctgac actgttgttt catgtatctc ttagaaaaac gctgctatta 28260 gacatctaac actatttatc ttgaggtgat aaaatatcaa aagccgtgtc tcaagatcga 28320 tgaaatgcgg ttaaaatgat gaatagaaac tctaggggga cctcatatcg atagactcga 28380 gactggcaca tctggagatc cgtatttatc cggcttcccc ttccagatca cgcgaggttt 28440 gggatatttt gctcaccagg cctcagccag gtaactgaat ccagccaacc ctggcccata 28500 gtctcggaat ccgactcggc tcccagtccc cgcctcggcg ttctgagacc cccaggctgg 28560 ggttccagag ggctgtgagg ttgcgaatga ctgctgccaa accggaagga actctgcggt 28620 tctctgccac agtgggattg ttgcaggcac gcggctcaga cttcactgag gttgggagat 28680 gctcctgtcc acgctgcctc atcccgtgct ggagcactgc acctctattt ttttttttag 28740 ggtacacgc 28749 <210> 2 <211> 21 <212> DNA <213> Artificial Sequence <220> <223> CDKN2A forward primer <400> 2 cagtaaccat gcccgcatag a 21 <210> 3 <211> 22 <212> DNA <213> Artificial Sequence <220> <223> CDKN2A reverse primer <400> 3 aagtttcccg aggtttctca ga 22

Claims (13)

중간엽줄기세포에서 CDKN2A(cyclin-dependent kinase inhibitor 2A) 유전자의 발현 수준을 측정하는 단계를 포함하는, 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.And measuring the expression level of a cyclin-dependent kinase inhibitor 2A (CDKN2A) gene in mesenchymal stem cells. 제1항에 있어서, 중간엽줄기세포 시료로부터 CDKN2A 유전자의 발현 수준을 측정하는 단계, 및 상기 CDKN2A 유전자의 발현수준이 임계값(cut-off)보다 높을 경우 중간엽줄기세포의 세포사멸 가능성이 있다고 예측하는 단계를 포함하는 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.The method according to claim 1, wherein the step of measuring the expression level of the CDKN2A gene from the mesenchymal stem cell sample and the level of the expression of the CDKN2A gene are higher than the cut-off level, Wherein the method comprises the steps of: predicting cell death of mesenchymal stem cells. 제1항에 있어서, 상기 중간엽줄기세포는 양막, 융모막 또는 탯줄에서 분리한 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.The method according to claim 1, wherein the mesenchymal stem cells are separated from amniotic membrane, chorionic villus or umbilical cord. 제1항에 있어서, 상기 유전자의 발현 수준의 측정은 상기 유전자에 특이적인 프라이머, 프로브 또는 안티센스 올리고뉴클레오티드를 이용하여 수행되는 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.The method according to claim 1, wherein the measurement of the expression level of the gene is carried out using a primer, a probe, or an antisense oligonucleotide specific to the gene, to provide information necessary for predicting apoptosis of mesenchymal stem cells . 제1항에 있어서, 상기 유전자의 발현 수준의 측정은 역전사 중합효소연쇄반응, 경쟁적 중합효소 연쇄반응, 실시간 중합효소 연쇄반응, Nuclease 보호 분석(RNase, S1 nuclease assay), in situ 교잡법, DNA 마이크로어레이 이용법, 노던 블랏, 웨스턴 블랏, ELISA(Enzyme Linked Immuno Sorbent Assay), 방사선 면역분석법, 면역 확산법, 면역 전기영동, 조직 면역염색, 면역침전 분석법, 보체 고정 분석법, FACS, 질량분석법(Mass spectrometry) 및 단백질 마이크로어레이 이용법 중에서 선택되는 방법으로 수행하는 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.The method according to claim 1, wherein the expression level of the gene is measured by a reverse transcription polymerase chain reaction, a competitive polymerase chain reaction, a real-time polymerase chain reaction, an Nuclease protection assay (RNase, S1 nuclease assay) (ELISA), immunodiffusion, immunodiffusion, immunoelectrophoresis, tissue immuno staining, immunoprecipitation assays, complement fixation assays, FACS, mass spectrometry and immunohistochemical staining. Protein microarray. The present invention also provides a method for providing information necessary for predicting apoptosis of mesenchymal stem cells. 제1항에 있어서, 상기 CDKN2A 유전자는 서열번호 1로 표시되는 염기서열로 이루어지는 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.The method according to claim 1, wherein the CDKN2A gene comprises the nucleotide sequence of SEQ ID NO: 1. 제2항에 있어서, 상기 임계값(cut-off)은 0.1인 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측에 필요한 정보를 제공하는 방법.3. The method according to claim 2, wherein the cut-off value is 0.1. CDKN2A(cyclin-dependent kinase inhibitor 2A) 유전자의 발현 수준을 측정하는 물질을 포함하는 중간엽줄기세포의 세포사멸 예측용 조성물.A composition for predicting apoptosis of mesenchymal stem cells comprising a substance that measures the expression level of cyclin-dependent kinase inhibitor 2A (CDKN2A) gene. 제8항에 있어서, 상기 유전자의 발현 수준을 측정하는 물질은 상기 유전자가 전사하는 mRNA 또는 상기 유전자가 암호화하는 단백질의 양을 측정하는 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측용 조성물.9. The composition for predicting apoptosis of mesenchymal stem cells according to claim 8, wherein the substance measuring the expression level of the gene measures the amount of the mRNA transcribed by the gene or the protein encoded by the gene. 제8항에 있어서, 상기 유전자의 발현 수준을 측정하는 물질은 상기 유전자에 특이적인 프라이머, 프로브 또는 안티센스 올리고뉴클레오티드인 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측용 조성물.9. The composition for predicting apoptosis of mesenchymal stem cells according to claim 8, wherein the substance measuring the expression level of the gene is a primer, a probe, or an antisense oligonucleotide specific to the gene. 제8항에 있어서, 상기 CDKN2A 유전자는 서열번호 1로 표시되는 염기서열로 이루어지는 것을 특징으로 하는 중간엽줄기세포의 세포사멸 예측용 조성물.9. The composition for predicting apoptosis of mesenchymal stem cells according to claim 8, wherein the CDKN2A gene comprises the nucleotide sequence of SEQ ID NO: 1. 제8항에 따른 중간엽줄기세포의 세포사멸 예측용 조성물을 포함하는, 중간엽줄기세포의 세포사멸 예측용 키트.A kit for predicting apoptosis of mesenchymal stem cells, comprising a composition for predicting apoptosis of mesenchymal stem cells according to claim 8. 제12항에 있어서, 상기 키트는 마이크로 어레이, 유전자 증폭 키트, 면역분석(immunoassay)용 키트, 루미넥스 분석 키트, 단백질 마이크로어레이 키트 및 ELISA 키트 중에서 선택된 어느 하나 이상인 것을 특징으로 하는, 중간엽줄기세포의 세포사멸 예측용 키트.The method according to claim 12, wherein the kit is at least one selected from a microarray, a gene amplification kit, an immunoassay kit, a luminex assay kit, a protein microarray kit, and an ELISA kit. Kits for cell death prediction.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020228009A1 (en) * 2019-05-16 2020-11-19 北京市肿瘤防治研究所 Method for quantitatively detecting deletion of human cdkn2a gene copy, primers and use thereof
US12018335B2 (en) 2019-05-16 2024-06-25 Beijing Institute For Cancer Research Method for quantitatively detecting deletion of human CDKN2A gene copy, primers and use thereof

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2020228009A1 (en) * 2019-05-16 2020-11-19 北京市肿瘤防治研究所 Method for quantitatively detecting deletion of human cdkn2a gene copy, primers and use thereof
US12018335B2 (en) 2019-05-16 2024-06-25 Beijing Institute For Cancer Research Method for quantitatively detecting deletion of human CDKN2A gene copy, primers and use thereof

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