Journal
NATURE METHODS
Volume 11, Issue 6, Pages 637-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/NMETH.2930
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Funding
- European Research Council [ERC-AdG 294325-GeneNoiseControl]
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO) Vici award
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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.
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