4.8 Article

Transcriptional profiling of cells sorted by RNA abundance

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NATURE METHODS
卷 11, 期 5, 页码 549-551

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NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.2910

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资金

  1. US National Institutes of Health (NIH)
  2. National Cancer Institute Physical Sciences Oncology Center at Massachusetts Institute of Technology [U54CA143874]
  3. NIH Pioneer award [8 DP1 'CA174420-05]
  4. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) Vici award
  5. NIH [HD 045022, R37CA084198]
  6. Vertex Scholarship, a US National Science Foundation Graduate Research Fellowship
  7. Jerome and Florence Brill Graduate Student Fellowship
  8. Koch Institute for Integrative Cancer Research Graduate Fellowship

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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.

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