Literature DB >> 28237795

Iterative Modeling Reveals Evidence of Sequential Transcriptional Control Mechanisms.

Christine S Cheng1, Marcelo S Behar2, Gajendra W Suryawanshi3, Kristyn E Feldman1, Roberto Spreafico3, Alexander Hoffmann4.   

Abstract

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  combinatorial control; gene expression; gene regulatory logic; mathematical modeling; pathogen responses

Mesh:

Substances:

Year:  2017        PMID: 28237795      PMCID: PMC5434763          DOI: 10.1016/j.cels.2017.01.012

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  52 in total

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Review 3.  PDGF signaling in cells and mice.

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Review 5.  The genomic landscapes of inflammation.

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Journal:  Immunity       Date:  2021-09-14       Impact factor: 43.474

2.  Gene Regulatory Strategies that Decode the Duration of NFκB Dynamics Contribute to LPS- versus TNF-Specific Gene Expression.

Authors:  Supriya Sen; Zhang Cheng; Katherine M Sheu; Yu Hsin Chen; Alexander Hoffmann
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3.  Network Analysis Reveals a Distinct Axis of Macrophage Activation in Response to Conflicting Inflammatory Cues.

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5.  An immediate-late gene expression module decodes ERK signal duration.

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6.  Sequential conditioning-stimulation reveals distinct gene- and stimulus-specific effects of Type I and II IFN on human macrophage functions.

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7.  An NFκB Activity Calculator to Delineate Signaling Crosstalk: Type I and II Interferons Enhance NFκB via Distinct Mechanisms.

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