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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Bibliografische gegevens
Hoofdauteurs: 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
Andere auteurs: Massachusetts Institute of Technology. Department of Biology
Formaat: Artikel
Taal:en_US
Gepubliceerd in: Nature Publishing Group 2015
Online toegang:http://hdl.handle.net/1721.1/96697
https://orcid.org/0000-0001-8567-2049