Transcriptional profiling of cells sorted by transcript abundance

Transcriptional profiling of cells sorted by transcript abundance

We 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 mo...

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Bibliographic Details
Main Authors: Klemm, Sandy Lee, Semrau, Stefan, Wiebrands, Kay, Mooijman, Dylan, Jaenisch, Rudolf, van Oudenaarden, Alexander, Faddah, Dina A.
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:en_US
Published: Nature Publishing Group 2015
Online Access:http://hdl.handle.net/1721.1/96519
Description
Summary:We 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.

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