4.8 Article

Quantitative assessment of single-cell RNRNA-sequencing methods

期刊

NATURE METHODS
卷 11, 期 1, 页码 41-+

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NATURE PUBLISHING GROUP
DOI: 10.1038/nmeth.2694

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资金

  1. US National Institutes of Health (NIH) [U01HL099999-01, RC4NS073015, U01CA154209]
  2. Stanford Institute of Medicine Summer Research Program
  3. Thomas and Stacey Siebel Foundation
  4. BD Biosciences Stem Cell Research Grant
  5. [P01CA139490]
  6. [U01HL099995-01]
  7. NATIONAL CANCER INSTITUTE [P01CA139490, U01CA154209] Funding Source: NIH RePORTER
  8. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U01HL099995, U01HL099999] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [RC4NS073015] Funding Source: NIH RePORTER

向作者/读者索取更多资源

Interest in single-cell whole-transcriptome analysis is growing rapidly, especially for profiling rare or heterogeneous populations of cells. We compared commercially available single-cell RNRNA amplification methods with both microliter and nanoliter volumes, using sequence from bulk total RNRNA and multiplexed quantitative PCR as benchmarks to systematically evaluate the sensitivity and accuracy of various single-cell RNRNA-seq approaches. We show that single-cell RNRNA-seq can be used to perform accurate quantitative transcriptome measurement in individual cells with a relatively small number of sequencing reads and that sequencing large numbers of single cells can recapitulate bulk transcriptome complexity.

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