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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Podrobná bibliografie
Hlavní autoři: 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
Další autoři: Massachusetts Institute of Technology. Department of Biology
Médium: Článek
Jazyk:en_US
Vydáno: Nature Publishing Group 2015
On-line přístup:http://hdl.handle.net/1721.1/96697
https://orcid.org/0000-0001-8567-2049