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dc.contributor.authorVitale, Alejandra M
dc.contributor.authorMatigian, Nicholas A
dc.contributor.authorRavishankar, Sugandha
dc.contributor.authorBellette, Bernadette
dc.contributor.authorWood, Stephen A
dc.contributor.authorWolvetang, Ernst J
dc.contributor.authorMackay-Sim, Alan
dc.date.accessioned2017-05-03T11:32:37Z
dc.date.available2017-05-03T11:32:37Z
dc.date.issued2012
dc.date.modified2013-06-17T02:32:40Z
dc.identifier.issn2157-6564
dc.identifier.doi10.5966/sctm.2012-0043
dc.identifier.urihttp://hdl.handle.net/10072/48641
dc.description.abstractIn the field of disease modeling, induced pluripotent stem cells (iPSCs) have become an appealing choice, especially for diseases that do not have an animal model. They can be generated from patients with known clinical features and compared with cells from healthy controls to identify the biological bases of disease. This study was undertaken to determine the variability in iPSC lines derived from different individuals, with the aim of determining criteria for selecting iPSC lines for disease models. We generated and characterized 18 iPSC lines from eight donors and considered variability at three levels: (a) variability in the criteria that define iPSC lines as pluripotent cells, (b) variability in cell lines from different donors, and (c) variability in cell lines from the same donor. We found that variability in transgene expression and pluripotency marker levels did not prevent iPSCs from fulfilling all other criteria for pluripotency, including teratoma formation. We found low interindividual and interclonal variability in iPSCs that fulfilled the most stringent criteria for pluripotency, with very high correlation in their gene expression profiles. Interestingly, some cell lines exhibited reprogramming instability, spontaneously regressing from a fully to a partially reprogrammed state. This was associated with a low percentage of cells expressing the pluripotency marker stage-specific embryonic antigen-4. Our study shows that it is possible to define a similar "ground state" for each cell line as the basis for making patient versus control comparisons, an essential step in order to identify disease-associated variability above individual and cell line variability.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAlphaMed Press
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom641
dc.relation.ispartofpageto650
dc.relation.ispartofjournalStem Cells Translational Medicine
dc.relation.ispartofvolume1
dc.rights.retentionY
dc.subject.fieldofresearchRegenerative Medicine (incl. Stem Cells and Tissue Engineering)
dc.subject.fieldofresearchNeurosciences not elsewhere classified
dc.subject.fieldofresearchBiochemistry and Cell Biology
dc.subject.fieldofresearchMedical Biotechnology
dc.subject.fieldofresearchClinical Sciences
dc.subject.fieldofresearchcode100404
dc.subject.fieldofresearchcode110999
dc.subject.fieldofresearchcode0601
dc.subject.fieldofresearchcode1004
dc.subject.fieldofresearchcode1103
dc.titleVariability in the Generation of Induced Pluripotent Stem Cells: Importance for Disease Modeling
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the authors for more information.
gro.date.issued2012
gro.hasfulltextNo Full Text
gro.griffith.authorMackay-Sim, Alan
gro.griffith.authorMatigian, Nicholas
gro.griffith.authorBellette, Bernadette
gro.griffith.authorRavishankar, Sugandha
gro.griffith.authorWood, Stephen A.
gro.griffith.authorVitale, Alejandra M.


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