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DOI: 10.1038/nmeth.2694
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.

Quantitative assessment of single-cell RNA-sequencing methods

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

Transcriptome
RNA
Computational biology
2013
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.
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    Quantitative assessment of single-cell RNA-sequencing methods” is a paper by Angela Ruohao Wu Norma Neff Tomer Kalisky Piero Dalerba Barbara Treutlein Michael E. Rothenberg Francis M. Mburu Gary L. Mantalas Sopheak Sim Michael F. Clarke Stephen R. Quake published in 2013. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.