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dc.contributor.authorLee, Wong Cheng J.
dc.contributor.authorShi, Hui
dc.contributor.authorPoon, Zhiyong
dc.contributor.authorNyan, Lin Myint
dc.contributor.authorKaushik, Tanwi
dc.contributor.authorShivashankar, G. V.
dc.contributor.authorChan, Jerry K. Y.
dc.contributor.authorLim, Chwee Teck
dc.contributor.authorHan, Jongyoon
dc.contributor.authorVan Vliet, Krystyn J
dc.date.accessioned2015-04-13T16:40:31Z
dc.date.available2015-04-13T16:40:31Z
dc.date.issued2014-10
dc.date.submitted2014-02
dc.identifier.issn0027-8424
dc.identifier.issn1091-6490
dc.identifier.urihttp://hdl.handle.net/1721.1/96533
dc.description.abstractThe capacity to produce therapeutically relevant quantities of multipotent mesenchymal stromal cells (MSCs) via in vitro culture is a common prerequisite for stem cell-based therapies. Although culture expanded MSCs are widely studied and considered for therapeutic applications, it has remained challenging to identify a unique set of characteristics that enables robust identification and isolation of the multipotent stem cells. New means to describe and separate this rare cell type and its downstream progenitor cells within heterogeneous cell populations will contribute significantly to basic biological understanding and can potentially improve efficacy of stem and progenitor cell-based therapies. Here, we use multivariate biophysical analysis of culture-expanded, bone marrow-derived MSCs, correlating these quantitative measures with biomolecular markers and in vitro and in vivo functionality. We find that, although no single biophysical property robustly predicts stem cell multipotency, there exists a unique and minimal set of three biophysical markers that together are predictive of multipotent subpopulations, in vitro and in vivo. Subpopulations of culture-expanded stromal cells from both adult and fetal bone marrow that exhibit sufficiently small cell diameter, low cell stiffness, and high nuclear membrane fluctuations are highly clonogenic and also exhibit gene, protein, and functional signatures of multipotency. Further, we show that high-throughput inertial microfluidics enables efficient sorting of committed osteoprogenitor cells, as distinct from these mesenchymal stem cells, in adult bone marrow. Together, these results demonstrate novel methods and markers of stemness that facilitate physical isolation, study, and therapeutic use of culture-expanded, stromal cell subpopulations.en_US
dc.description.sponsorshipNational University of Singapore (Graduate School for Integrative Sciences and Engineering Program)en_US
dc.description.sponsorshipSingapore-MIT Alliance (Singapore-MIT Alliance-3 graduate fellowship program)en_US
dc.description.sponsorshipSingapore. National Research Foundationen_US
dc.description.sponsorshipSingapore-MIT Alliance for Research and Technology (BioSystems and Micromechanics Interdisciplinary Research Group)en_US
dc.description.sponsorshipSingapore. National Medical Research Council (NMRC/Clinician Scientist Award/012/2009)en_US
dc.language.isoen_US
dc.publisherNational Academy of Sciences (U.S.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1073/pnas.1402306111en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceNational Academy of Sciences (U.S.)en_US
dc.titleMultivariate biophysical markers predictive of mesenchymal stromal cell multipotencyen_US
dc.typeArticleen_US
dc.identifier.citationLee, Wong Cheng, Hui Shi, Zhiyong Poon, Lin Myint Nyan, Tanwi Kaushik, G. V. Shivashankar, Jerry K. Y. Chan, Chwee Teck Lim, Jongyoon Han, and Krystyn J. Van Vliet. “Multivariate Biophysical Markers Predictive of Mesenchymal Stromal Cell Multipotency.” Proceedings of the National Academy of Sciences 111, no. 42 (October 8, 2014): E4409–E4418.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Materials Science and Engineeringen_US
dc.contributor.departmentSingapore-MIT Alliance in Research and Technology (SMART)en_US
dc.contributor.mitauthorHan, Jongyoonen_US
dc.contributor.mitauthorVan Vliet, Krystyn J.en_US
dc.relation.journalProceedings of the National Academy of Sciencesen_US
dc.eprint.versionFinal published versionen_US
dc.identifier.pmid25298531
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLee, Wong Cheng; Shi, Hui; Poon, Zhiyong; Nyan, Lin Myint; Kaushik, Tanwi; Shivashankar, G. V.; Chan, Jerry K. Y.; Lim, Chwee Teck; Han, Jongyoon; Van Vliet, Krystyn J.en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5735-0560
dc.identifier.orcidhttps://orcid.org/0000-0001-7215-1439
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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