Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments-Reference-Cited by-同舟云学术

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Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments

Published:2013-07-21 Issue:8 Volume:31 Page:748-752
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Wills Quin F,Livak Kenneth J,Tipping Alex J,Enver Tariq,Goldson Andrew J,Sexton Darren W,Holmes Chris

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

http://www.nature.com/articles/nbt.2642.pdf

Reference22 articles.

1. Nica, A.C. et al. The architecture of gene regulatory variation across multiple human tissues: the MuTHER study. PLoS Genet. 7, e1002003 (2011).

2. Li, H. & Deng, H. Systems genetics, bioinformatics and eQTL mapping. Genetica 138, 915–924 (2010).

3. Bak, P. et al. Self-organized criticality: an explanation of the 1/f noise. Phys. Rev. Lett. 59, 381–384 (1987).

4. Shalek, A.K. et al. Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature 498, 236–240 (2013).

5. Nicolae, D.L. et al. Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS. PLoS Genet. 6, e1000888 (2010).

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