Your browser doesn't support javascript.
loading
Iterative Modeling Reveals Evidence of Sequential Transcriptional Control Mechanisms.
Cheng, Christine S; Behar, Marcelo S; Suryawanshi, Gajendra W; Feldman, Kristyn E; Spreafico, Roberto; Hoffmann, Alexander.
Afiliação
  • Cheng CS; Signaling Systems Laboratory, San Diego Center for Systems Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
  • Behar MS; Signaling Systems Laboratory, San Diego Center for Systems Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences (QCBio) and Molecular Biology
  • Suryawanshi GW; Department of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences (QCBio) and Molecular Biology Institute (MBI), University of California, Los Angeles, Los Angeles, CA 90025, USA.
  • Feldman KE; Signaling Systems Laboratory, San Diego Center for Systems Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
  • Spreafico R; Department of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences (QCBio) and Molecular Biology Institute (MBI), University of California, Los Angeles, Los Angeles, CA 90025, USA.
  • Hoffmann A; Signaling Systems Laboratory, San Diego Center for Systems Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Microbiology, Immunology, and Molecular Genetics, Institute for Quantitative and Computational Biosciences (QCBio) and Molecular Biology
Cell Syst ; 4(3): 330-343.e5, 2017 03 22.
Article em En | MEDLINE | ID: mdl-28237795
Combinatorial control of gene expression is presumed to be mediated by molecular interactions between coincident transcription factors (TFs). While information on the genome-wide locations of TFs is available, the genes they regulate and whether they function combinatorially often remain open questions. Here, we developed a mechanistic, rather than statistical, modeling approach to elucidate TF control logic from gene expression data. Applying this approach to hundreds of genes in 85 datasets measuring the transcriptional responses of murine fibroblasts and macrophages to cytokines and pathogens, we found that stimulus-responsive TFs generally function sequentially in logical OR gates or singly. Logical AND gates were found between NF-κB-responsive mRNA synthesis and MAPKp38-responsive control of mRNA half-life, but not between temporally coincident TFs. Our analyses identified the functional target genes of each of the pathogen-responsive TFs and prompt a revision of the conceptual underpinnings of combinatorial control of gene expression to include sequentially acting molecular mechanisms that govern mRNA synthesis and decay.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcrição Gênica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Cell Syst Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcrição Gênica Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Revista: Cell Syst Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos