Show simple item record

Transcriptional profiling of cells sorted by transcript abundance

dc.contributor.authorKlemm, Sandy Lee
dc.contributor.authorSemrau, Stefan
dc.contributor.authorWiebrands, Kay
dc.contributor.authorMooijman, Dylan
dc.contributor.authorJaenisch, Rudolf
dc.contributor.authorvan Oudenaarden, Alexander
dc.contributor.authorFaddah, Dina A.
dc.date.accessioned2015-04-10T17:20:03Z
dc.date.available2015-04-10T17:20:03Z
dc.date.issued2014-03
dc.date.submitted2013-08
dc.identifier.issn1548-7091
dc.identifier.issn1548-7105
dc.identifier.urihttp://hdl.handle.net/1721.1/96519
dc.description.abstractWe have developed a quantitative technique for sorting cells on the basis of endogenous RNA abundance, with a molecular resolution of 10–20 transcripts. We demonstrate efficient and unbiased RNA extraction from transcriptionally sorted cells and report a high-fidelity transcriptome measurement of mouse induced pluripotent stem cells (iPSCs) isolated from a heterogeneous reprogramming culture. This method is broadly applicable to profiling transcriptionally distinct cellular states without requiring antibodies or transgenic fluorescent proteins.en_US
dc.description.sponsorshipNational Cancer Institute (U.S.). Physical Sciences-Oncology Center (U54CA143874)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Pioneer Award 8 DP1 CA174420-05)en_US
dc.description.sponsorshipNWO of the Netherlands (Vici Award)en_US
dc.description.sponsorshipNWO of the Netherlands (Rubicon Award)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant HD 045022)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant R37CA084198)en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Graduate Research Fellowshipen_US
dc.description.sponsorshipVertex Pharmaceuticals Incorporated (Vertex Scholarship)
dc.language.isoen_US
dc.publisherNature Publishing Groupen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/nmeth.2910en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePMCen_US
dc.titleTranscriptional profiling of cells sorted by transcript abundanceen_US
dc.title.alternativeTranscriptional profiling of cells sorted by RNA abundanceen_US
dc.typeArticleen_US
dc.identifier.citationKlemm, Sandy, Stefan Semrau, Kay Wiebrands, Dylan Mooijman, Dina A Faddah, Rudolf Jaenisch, and Alexander van Oudenaarden. “Transcriptional Profiling of Cells Sorted by RNA Abundance.” Nature Methods 11, no. 5 (March 30, 2014): 549–551.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Physicsen_US
dc.contributor.departmentWhitehead Institute for Biomedical Researchen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.mitauthorKlemm, Sandy Leeen_US
dc.contributor.mitauthorSemrau, Stefanen_US
dc.contributor.mitauthorvan Oudenaarden, Alexanderen_US
dc.contributor.mitauthorFaddah, Dina A.en_US
dc.contributor.mitauthorJaenisch, Rudolfen_US
dc.relation.journalNature Methodsen_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.orderedauthorsKlemm, Sandy; Semrau, Stefan; Wiebrands, Kay; Mooijman, Dylan; Faddah, Dina A; Jaenisch, Rudolf; van Oudenaarden, Alexanderen_US
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail
Name:
Jaenisch_Transcriptional profi ...
Size:
394.8Kb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record