Transcriptional profiling of cells sorted by transcript abundance
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Jaenisch_Transcriptional profiling.pdf
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Author(s)
Klemm, Sandy Lee
Semrau, Stefan
Wiebrands, Kay
Mooijman, Dylan
Jaenisch, Rudolf
van Oudenaarden, Alexander
Faddah, Dina A.
Alternative Title
Transcriptional profiling of cells sorted by RNA abundance
Date Issued
March 2014
Journal
Nature Methods
Publisher
Nature Publishing Group
Citation
Klemm, 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.
Version
Author's final manuscript
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Physics
Whitehead Institute for Biomedical Research
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Article 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.
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DOI of Published Version
https://doi.org/10.1038/nmeth.2910
