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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Bibliographic Details
Main Authors: Satija, Rahul, Shuga, Joe, Trombetta, John J., Gennert, David, Chen, Peilin, Gertner, Rona S., Gaublomme, Jellert T., Yosef, Nir, Schwartz, Schraga, Fowler, Brian, Weaver, Suzanne, Wang, Jing, Wang, Xiaohui, Ding, Ruihua, Raychowdhury, Raktima, Friedman, Nir, Hacohen, Nir, Park, Hongkun, May, Andrew P., Regev, Aviv, Shalek, Alex K., Lu, Diana, Ph. D. Massachusetts Institute of Technology
Other Authors: Massachusetts Institute of Technology. Department of Biology
Format: Article
Language:en_US
Published: Nature Publishing Group 2015
Online Access:http://hdl.handle.net/1721.1/96697
https://orcid.org/0000-0001-8567-2049