Transcriptionally Profiling Cells Sorted by Transcript Abundance

We have developed a quantitative technique for sorting cells based on 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) in...

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Published inNature methods Vol. 11; no. 5; pp. 549 - 551
Main Authors Klemm, Sandy, Semrau, Stefan, Wiebrands, Kay, Mooijman, Dylan, Faddah, Dina A., Jaenisch, Rudolf, van Oudenaarden, Alexander
Format Journal Article
LanguageEnglish
Published 30.03.2014
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ISSN1548-7091
1548-7105
DOI10.1038/nmeth.2910

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Summary:We have developed a quantitative technique for sorting cells based on 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.
ISSN:1548-7091
1548-7105
DOI:10.1038/nmeth.2910