Accounting for technical noise in single-cell RNA-seq experiments

被引：12

作者：

Brennecke, Philip ^{[1
]}

Anders, Simon ^{[1
]}

Kim, Jong Kyoung ^{[2
]}

Kolodziejczyk, Aleksandra A. ^{[2
,3
]}

Zhang, Xiuwei ^{[2
]}

Proserpio, Valentina ^{[4
]}

Baying, Bianka ^{[1
]}

Benes, Vladimir ^{[1
]}

Teichmann, Sarah A. ^{[2
,3
]}

Marioni, John C. ^{[2
]}

Heisler, Marcus G. ^{[1
,5
]}

机构：

[1] European Mol Biol Lab, D-69012 Heidelberg, Germany

[2] European Bioinformat Inst, EMBL, Hinxton, England

[3] Wellcome Trust Sanger Inst, Hinxton, England

[4] MRC, Mol Biol Lab, Cambridge CB2 2QH, England

[5] Univ Sydney, Sydney, NSW 2006, Australia

来源：

NATURE METHODS | 2013年 / 10卷 / 11期

基金：

欧洲研究理事会; 澳大利亚研究理事会;

关键词：

GENE-EXPRESSION; PLURIPOTENCY; LANDSCAPE;

D O I：

10.1038/NMETH.2645

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Single-cell RNA-seq can yield valuable insights about the variability within a population of seemingly homogeneous cells. We developed a quantitative statistical method to distinguish true biological variability from the high levels of technical noise in single-cell experiments. Our approach quantifies the statistical significance of observed cell-to-cell variability in expression strength on a gene-by-gene basis. We validate our approach using two independent data sets from Arabidopsis thaliana and Mus musculus.

引用

页码：1093 / 1095

页数：3

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