dc.contributor.author | Hrvatin, Sinisa | |
dc.contributor.author | Deng, Francis | |
dc.contributor.author | O'Donnell, Charles William | |
dc.contributor.author | Gifford, David K. | |
dc.contributor.author | Melton, Douglas A. | |
dc.date.accessioned | 2014-04-09T20:55:03Z | |
dc.date.available | 2014-04-09T20:55:03Z | |
dc.date.issued | 2014-03 | |
dc.date.submitted | 2013-11 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/86092 | |
dc.description.abstract | Transcriptional profiling is a key technique in the study of cell biology that is limited by the availability of reagents to uniquely identify specific cell types and isolate high quality RNA from them. We report a Method for Analyzing RNA following Intracellular Sorting (MARIS) that generates high quality RNA for transcriptome profiling following cellular fixation, intracellular immunofluorescent staining and FACS. MARIS can therefore be used to isolate high quality RNA from many otherwise inaccessible cell types simply based on immunofluorescent tagging of unique intracellular proteins. As proof of principle, we isolate RNA from sorted human embryonic stem cell-derived insulin-expressing cells as well as adult human β cells. MARIS is a basic molecular biology technique that could be used across several biological disciplines. | en_US |
dc.description.sponsorship | Howard Hughes Medical Institute | en_US |
dc.description.sponsorship | Harvard Stem Cell Institute | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (grant 2U01DK07247307) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (grant RL1DK081184) | en_US |
dc.description.sponsorship | National Institutes of Health (U.S.) (grant 1U01HL10040804) | 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.0089459 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | PLoS | en_US |
dc.title | MARIS: Method for Analyzing RNA following Intracellular Sorting | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Hrvatin, Sinisa, Francis Deng, Charles W. O’Donnell, David K. Gifford, and Douglas A. Melton. “MARIS: Method for Analyzing RNA Following Intracellular Sorting.” Edited by Katriina Aalto-Setala. PLoS ONE 9, no. 3 (March 3, 2014): e89459. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
dc.contributor.mitauthor | O'Donnell, Charles William | en_US |
dc.contributor.mitauthor | Gifford, David K. | en_US |
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 | Hrvatin, Siniša; Deng, Francis; O'Donnell, Charles W.; Gifford, David K.; Melton, Douglas A. | en_US |
dc.identifier.orcid | https://orcid.org/0000-0003-1709-4034 | |
mit.license | PUBLISHER_CC | en_US |
mit.metadata.status | Complete | |