Single-cell RNA-seq reveals dynamic paracrine control of cellular variation

Single-cell RNA-seq reveals dynamic paracrine control of cellular variation

High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis and function of gene expression variation between seemingly identical cells. Here we sequence single-cell RNA-seq libraries prepared from over 1,700 primary mouse bone-marrow-derived dendritic...

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Main Authors: Satija, Rahul (Author), Shuga, Joe (Author), Trombetta, John J. (Author), Gennert, David (Author), Chen, Peilin (Author), Gertner, Rona S. (Author), Gaublomme, Jellert T. (Author), Yosef, Nir (Author), Schwartz, Schraga (Author), Fowler, Brian (Author), Weaver, Suzanne (Author), Wang, Jing (Author), Wang, Xiaohui (Author), Ding, Ruihua (Author), Raychowdhury, Raktima (Author), Friedman, Nir (Author), Hacohen, Nir (Author), Park, Hongkun (Author), May, Andrew P. (Author), Regev, Aviv (Contributor), Shalek, Alex K. (Contributor), Lu, Diana, Ph. D. Massachusetts Institute of Technology (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Chemistry (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2015-04-22T15:53:21Z.
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