Quantitative assessment of single-cell RNA-sequencing methods

Angela R. Wu, Norma F. Neff, Tomer Kalisky, Piero Dalerba, Barbara Treutlein, Michael E. Rothenberg, Francis M. Mburu, Gary L. Mantalas, Sopheak Sim, Michael F. Clarke, Stephen R. Quake

Research output: Contribution to journalArticlepeer-review

567 Scopus citations

Abstract

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 RNA amplification methods with both microliter and nanoliter volumes, using sequence from bulk total RNA and multiplexed quantitative PCR as benchmarks to systematically evaluate the sensitivity and accuracy of various single-cell RNA-seq approaches. We show that single-cell RNA-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.

Original languageEnglish
Pages (from-to)41-46
Number of pages6
JournalNature Methods
Volume11
Issue number1
DOIs
StatePublished - 2014
Externally publishedYes

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