Unbiased reconstruction of a mammalian transcriptional network mediating the differential response to pathogens

Unbiased reconstruction of a mammalian transcriptional network mediating the differential response to pathogens

Models of mammalian regulatory networks controlling gene expression have been inferred from genomic data but have largely not been validated. We present an unbiased strategy to systematically perturb candidate regulators and monitor cellular transcriptional responses. We applied this approach to der...

书目详细资料
Main Authors:	Amit, Ido, Guttman, Mitchell, Leite, Ana Paula, Regev, Aviv, Garber, Manuel, Chevrier, Nicolas, Donner, Yoni, Eisenhaure, Thomas, Grenier, Jennifer K., Li, Weibo, Zuk, Or, Schubert, Lisa A., Birditt, Brian, Shay, Tal, Goren, Alon, Zhang, Xiaolan, Smith, Zachary, Deering, Raquel, McDonald, Rebecca C., Cabili, Moran N., Bernstein, Bradley E., Rinn, John L., Meissner, Alexander, Root, David E., Hacohen, Nir
其他作者:	Massachusetts Institute of Technology. Computational and Systems Biology Program
格式:	文件
语言:	en_US
出版:	American Association for the Advancement of Science (AAAS) 2014
在线阅读:	http://hdl.handle.net/1721.1/85204 https://orcid.org/0000-0001-5773-3211 https://orcid.org/0000-0001-8567-2049

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