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dc.contributor.authorCastellarnau, Marc
dc.contributor.authorSu, Hao-wei
dc.contributor.authorTokatlian, Talar
dc.contributor.authorVoldman, Joel
dc.contributor.authorSzeto, Gregory
dc.contributor.authorLove, John C
dc.contributor.authorIrvine, Darrell J
dc.date.accessioned2015-10-23T17:49:49Z
dc.date.available2015-10-23T17:49:49Z
dc.date.issued2014-09
dc.identifier.issn16136810
dc.identifier.issn1613-6829
dc.identifier.urihttp://hdl.handle.net/1721.1/99439
dc.description.abstractThis study presents stochastic particle barcoding (SPB), a method for tracking cell identity across bioanalytical platforms. In this approach, single cells or small collections of cells are co-encapsulated within an enzymatically-degradable hydrogel block along with a random collection of fluorescent beads, whose number, color, and position encode the identity of the cell, enabling samples to be transferred in bulk between single-cell assay platforms without losing the identity of individual cells. The application of SPB is demonstrated for transferring cells from a subnanoliter protein secretion/phenotyping array platform into a microtiter plate, with re-identification accuracies in the plate assay of 96±2%. Encapsulated cells are recovered by digesting the hydrogel, allowing subsequent genotyping and phenotyping of cell lysates. Finally, a model scaling is developed to illustrate how different parameters affect the accuracy of SPB and to motivate scaling of the method to thousands of unique blocks.en_US
dc.description.sponsorshipRagon Institute of MGH, MIT and Harvarden_US
dc.description.sponsorshipNational Cancer Institute (U.S.) (Koch Institute Support (Core) Grant P30-CA14051)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Ruth L. Kirschstein National Research Service Award (1F32CA180586)en_US
dc.language.isoen_US
dc.publisherWiley Blackwellen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/smll.201401369en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleStochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysisen_US
dc.typeArticleen_US
dc.identifier.citationCastellarnau, M., G. L. Szeto, H.-W. Su, T. Tokatlian, J. C. Love, D. J. Irvine, and J. Voldman. “Stochastic Particle Barcoding for Single-Cell Tracking and Multiparametric Analysis.” Small 11, no. 4 (September 2, 2014): 489–498.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentRagon Institute of MGH, MIT and Harvarden_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorCastellarnau, Marcen_US
dc.contributor.mitauthorSzeto, Gregory Leeen_US
dc.contributor.mitauthorSu, Hao-weien_US
dc.contributor.mitauthorTokatlian, Talaren_US
dc.contributor.mitauthorLove, J. Christopheren_US
dc.contributor.mitauthorIrvine, Darrell J.en_US
dc.contributor.mitauthorVoldman, Joelen_US
dc.relation.journalSmallen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsCastellarnau, M.; Szeto, G. L.; Su, H.-W.; Tokatlian, T.; Love, J. C.; Irvine, D. J.; Voldman, J.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9028-3117
dc.identifier.orcidhttps://orcid.org/0000-0001-8898-2296
dc.identifier.orcidhttps://orcid.org/0000-0001-7604-1333
dc.identifier.orcidhttps://orcid.org/0000-0003-0921-3144
dc.identifier.orcidhttps://orcid.org/0000-0001-8452-6752
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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