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Nat Methods. 2014 Jun;11(6):637-40. doi: 10.1038/nmeth.2930. Epub 2014 Apr 20.

Validation of noise models for single-cell transcriptomics.

Author information

1
1] Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, The Netherlands. [2] University Medical Center Utrecht, Cancer Genomics Netherlands, Utrecht, The Netherlands. [3].
2
1] Hubrecht Institute-KNAW (Royal Netherlands Academy of Arts and Sciences), Utrecht, The Netherlands. [2] University Medical Center Utrecht, Cancer Genomics Netherlands, Utrecht, The Netherlands.

Abstract

Single-cell transcriptomics has recently emerged as a powerful technology to explore gene expression heterogeneity among single cells. Here we identify two major sources of technical variability: sampling noise and global cell-to-cell variation in sequencing efficiency. We propose noise models to correct for this, which we validate using single-molecule FISH. We demonstrate that gene expression variability in mouse embryonic stem cells depends on the culture condition.

PMID:
24747814
DOI:
10.1038/nmeth.2930
[Indexed for MEDLINE]

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