dc.contributor.author | Moon, Sangjun | |
dc.contributor.author | Kim, Yun-Gon | |
dc.contributor.author | Dong, Lingsheng | |
dc.contributor.author | Lombardi, Michael | |
dc.contributor.author | Haeggstrom, Edward | |
dc.contributor.author | Jensen, Roderick V. | |
dc.contributor.author | Hsiao, Li-Li | |
dc.contributor.author | Demirci, Utkan | |
dc.date.accessioned | 2011-08-25T20:44:10Z | |
dc.date.available | 2011-08-25T20:44:10Z | |
dc.date.issued | 2011-03 | |
dc.date.submitted | 2010-09 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/65377 | |
dc.description.abstract | Technologies 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.sponsorship | National Institutes of Health (U.S.) (NIH R21 EB007707) | en_US |
dc.description.sponsorship | Wallace H. Coulter Foundation (Young Investigation Award) | en_US |
dc.description.sponsorship | Center for Integration of Medicine and Innovative Technology (U.S. Army Medical Research Acquisition Activity Cooperative Agreement) | en_US |
dc.description.sponsorship | United States. Army Medical Research and Materiel Command (RO1 A1081534) | en_US |
dc.description.sponsorship | United States. Army Medical Research and Materiel Command (R21 AI087107) | en_US |
dc.description.sponsorship | United States. Army. Telemedicine & Advanced Technology Research Center | en_US |
dc.language.iso | en_US | |
dc.publisher | Public Library of Science | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1371/journal.pone.0017455 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/2.5/ | en_US |
dc.source | PLoS | en_US |
dc.title | Drop-on-Demand Single Cell Isolation and Total RNA Analysis | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Moon, 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.department | Harvard University--MIT Division of Health Sciences and Technology | en_US |
dc.contributor.approver | Demirci, Utkan | |
dc.contributor.mitauthor | Demirci, Utkan | |
dc.relation.journal | PLoS ONE | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dspace.orderedauthors | Moon, Sangjun; Kim, Yun-Gon; Dong, Lingsheng; Lombardi, Michael; Haeggstrom, Edward; Jensen, Roderick V.; Hsiao, Li-Li; Demirci, Utkan | en |
mit.license | PUBLISHER_CC | en_US |
mit.metadata.status | Complete | |