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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Détails bibliographiques
Auteurs principaux: 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
Autres auteurs: Massachusetts Institute of Technology. Department of Biology
Format: Article
Langue:en_US
Publié: Nature Publishing Group 2015
Accès en ligne:http://hdl.handle.net/1721.1/96697
https://orcid.org/0000-0001-8567-2049