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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Váldodahkkit: 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
Eará dahkkit: Massachusetts Institute of Technology. Department of Biology
Materiálatiipa: Artihkal
Giella:en_US
Almmustuhtton: Nature Publishing Group 2015
Liŋkkat:http://hdl.handle.net/1721.1/96697
https://orcid.org/0000-0001-8567-2049