Drop-on-Demand Single Cell Isolation and Total RNA Analysis

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dc.contributor.authorMoon, Sangjunen
dc.contributor.authorKim, Yun-Gonen
dc.contributor.authorDong, Lingshengen
dc.contributor.authorLombardi, Michaelen
dc.contributor.authorHaeggstrom, Edwarden
dc.contributor.authorJensen, Roderick V.en
dc.contributor.authorHsiao, Li-Lien
dc.contributor.authorDemirci, Utkanen
dc.contributor.departmentBiological Sciencesen
dc.date.accessioned2018-11-07T18:25:54Zen
dc.date.available2018-11-07T18:25:54Zen
dc.date.issued2011-03-11en
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
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0017455en
dc.identifier.eissn1932-6203en
dc.identifier.issue3en
dc.identifier.othere17455en
dc.identifier.pmid21412416en
dc.identifier.urihttp://hdl.handle.net/10919/85786en
dc.identifier.volume6en
dc.language.isoenen
dc.publisherPLOSen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleDrop-on-Demand Single Cell Isolation and Total RNA Analysisen
dc.title.serialPLOS ONEen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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