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...

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Bibliographic Details
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
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program
Format: Article
Language:en_US
Published: American Association for the Advancement of Science (AAAS) 2014
Online Access:http://hdl.handle.net/1721.1/85204
https://orcid.org/0000-0001-5773-3211
https://orcid.org/0000-0001-8567-2049

Internet

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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