Unbiased Reconstruction of a Mammalian Transcriptional Network Mediating Pathogen Responses
Unbiased Reconstruction of a Mammalian Transcriptional Network Mediating Pathogen Responses
About this item
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Author / Creator
Amit, Ido , Garber, Manuel , Chevrier, Nicolas , Leite, Ana Paula , Donner, Yoni , Eisenhaure, Thomas , Guttman, Mitchell , 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 , Bernstein, Bradley E , Rinn, John L , Meissner, Alex , Root, David E , Hacohen, Nir and Regev, Aviv
Publisher
Washington, DC: American Association for the Advancement of Science
Journal title
Language
English
Formats
Publication information
Publisher
Washington, DC: American Association for the Advancement of Science
Subjects
More information
Scope and Contents
Contents
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 derive regulatory networks that control the transcrip...
Alternative Titles
Full title
Unbiased Reconstruction of a Mammalian Transcriptional Network Mediating Pathogen Responses
Authors, Artists and Contributors
Author / Creator
Garber, Manuel
Chevrier, Nicolas
Leite, Ana Paula
Donner, Yoni
Eisenhaure, Thomas
Guttman, Mitchell
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
Bernstein, Bradley E
Rinn, John L
Meissner, Alex
Root, David E
Hacohen, Nir
Regev, Aviv
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_67686864
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_67686864
Other Identifiers
ISSN
0036-8075
E-ISSN
1095-9203
DOI
10.1126/science.1179050
