Ontology highlight
ABSTRACT:
SUBMITTER: Amit I
PROVIDER: S-EPMC2879337 | biostudies-literature | 2009 Oct
REPOSITORIES: biostudies-literature
Amit Ido I Garber Manuel M Chevrier Nicolas N Leite Ana Paula AP Donner Yoni Y Eisenhaure Thomas T Guttman Mitchell M Grenier Jennifer K JK Li Weibo W Zuk Or O Schubert Lisa A LA Birditt Brian B Shay Tal T Goren Alon A Zhang Xiaolan X Smith Zachary Z Deering Raquel R McDonald Rebecca C RC Cabili Moran M Bernstein Bradley E BE Rinn John L JL Meissner Alex A Root David E DE Hacohen Nir N Regev Aviv A
Science (New York, N.Y.) 20090903 5950
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 transcriptional response of mouse primary dendritic cells to pathogens. Our approach revealed the regulatory functions of 125 transcription factors, chromatin ...[more]