Transcriptional profiling of cells sorted by transcript abundance
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Alternative title
Transcriptional profiling of cells sorted by RNA abundance
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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.
Date issued
2014-03Department
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 MITJournal
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
ISSN
1548-7091
1548-7105