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dc.contributor.authorMoon, Sangjun
dc.contributor.authorKim, Yun-Gon
dc.contributor.authorDong, Lingsheng
dc.contributor.authorLombardi, Michael
dc.contributor.authorHaeggstrom, Edward
dc.contributor.authorJensen, Roderick V.
dc.contributor.authorHsiao, Li-Li
dc.contributor.authorDemirci, Utkan
dc.date.accessioned2011-08-25T20:44:10Z
dc.date.available2011-08-25T20:44:10Z
dc.date.issued2011-03
dc.date.submitted2010-09
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/1721.1/65377
dc.description.abstractTechnologies that rapidly isolate viable single cells from heterogeneous solutions have significantly contributed to the field of medical genomics. Challenges remain both to enable efficient extraction, isolation and patterning of single cells from heterogeneous solutions as well as to keep them alive during the process due to a limited degree of control over single cell manipulation. Here, we present a microdroplet based method to isolate and pattern single cells from heterogeneous cell suspensions (10% target cell mixture), preserve viability of the extracted cells (97.0±0.8%), and obtain genomic information from isolated cells compared to the non-patterned controls. The cell encapsulation process is both experimentally and theoretically analyzed. Using the isolated cells, we identified 11 stem cell markers among 1000 genes and compare to the controls. This automated platform enabling high-throughput cell manipulation for subsequent genomic analysis employs fewer handling steps compared to existing methods.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH R21 EB007707)en_US
dc.description.sponsorshipWallace H. Coulter Foundation (Young Investigation Award)en_US
dc.description.sponsorshipCenter for Integration of Medicine and Innovative Technology (U.S. Army Medical Research Acquisition Activity Cooperative Agreement)en_US
dc.description.sponsorshipUnited States. Army Medical Research and Materiel Command (RO1 A1081534)en_US
dc.description.sponsorshipUnited States. Army Medical Research and Materiel Command (R21 AI087107)en_US
dc.description.sponsorshipUnited States. Army. Telemedicine & Advanced Technology Research Centeren_US
dc.language.isoen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.isversionofhttp://dx.doi.org/10.1371/journal.pone.0017455en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/en_US
dc.sourcePLoSen_US
dc.titleDrop-on-Demand Single Cell Isolation and Total RNA Analysisen_US
dc.typeArticleen_US
dc.identifier.citationMoon, Sangjun et al. “Drop-on-Demand Single Cell Isolation and Total RNA Analysis.” Ed. Dimas Covas. PLoS ONE 6.3 (2011) : e17455.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.approverDemirci, Utkan
dc.contributor.mitauthorDemirci, Utkan
dc.relation.journalPLoS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsMoon, Sangjun; Kim, Yun-Gon; Dong, Lingsheng; Lombardi, Michael; Haeggstrom, Edward; Jensen, Roderick V.; Hsiao, Li-Li; Demirci, Utkanen
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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