Literature DB >> 16311037

Internal-sensing machinery directs the activity of the regulatory network in Escherichia coli.

Agustino Martínez-Antonio1, Sarath Chandra Janga, Heladia Salgado, Julio Collado-Vides.   

Abstract

Individual cells need to discern and synchronize transcriptional responses according to variations in external and internal conditions. Metabolites and chemical compounds are sensed by transcription factors (TFs), which direct the corresponding specific transcriptional responses. We propose a classification of the currently known TFs of Escherichia coli based on whether they respond to metabolites incorporated from the exterior, to internally produced compounds, or to both. When analyzing the mutual interactions of TFs, the dominant role of internal signal sensing becomes apparent, greatly due to the role of global regulators of transcription. This work encompasses metabolite-TF interactions, bridging the gap between the metabolic and regulatory networks, thus advancing towards an integrated network model for the understanding of cellular behavior.

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Year:  2005        PMID: 16311037     DOI: 10.1016/j.tim.2005.11.002

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  37 in total

1.  Structure and evolution of gene regulatory networks in microbial genomes.

Authors:  Sarath Chandra Janga; J Collado-Vides
Journal:  Res Microbiol       Date:  2007-10-15       Impact factor: 3.992

2.  Functioning of a metabolic flux sensor in Escherichia coli.

Authors:  Karl Kochanowski; Benjamin Volkmer; Luca Gerosa; Bart R Haverkorn van Rijsewijk; Alexander Schmidt; Matthias Heinemann
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-31       Impact factor: 11.205

3.  Analysis of combinatorial regulation: scaling of partnerships between regulators with the number of governed targets.

Authors:  Nitin Bhardwaj; Matthew B Carson; Alexej Abyzov; Koon-Kiu Yan; Hui Lu; Mark B Gerstein
Journal:  PLoS Comput Biol       Date:  2010-05-27       Impact factor: 4.475

4.  Bacterial adaptation through distributed sensing of metabolic fluxes.

Authors:  Oliver Kotte; Judith B Zaugg; Matthias Heinemann
Journal:  Mol Syst Biol       Date:  2010-03-09       Impact factor: 11.429

5.  Lineage-specific expansion of DNA-binding transcription factor families.

Authors:  Varodom Charoensawan; Derek Wilson; Sarah A Teichmann
Journal:  Trends Genet       Date:  2010-07-31       Impact factor: 11.639

6.  Dissecting the expression patterns of transcription factors across conditions using an integrated network-based approach.

Authors:  Sarath Chandra Janga; Bruno Contreras-Moreira
Journal:  Nucleic Acids Res       Date:  2010-07-14       Impact factor: 16.971

Review 7.  Network-based approaches for linking metabolism with environment.

Authors:  Sarath Chandra Janga; M Madan Babu
Journal:  Genome Biol       Date:  2008-11-24       Impact factor: 13.583

8.  Time-resolved transcriptome analysis of Bacillus subtilis responding to valine, glutamate, and glutamine.

Authors:  Bang-Ce Ye; Yan Zhang; Hui Yu; Wen-Bang Yu; Bao-Hong Liu; Bin-Cheng Yin; Chun-Yun Yin; Yuan-Yuan Li; Ju Chu; Si-Liang Zhang
Journal:  PLoS One       Date:  2009-09-18       Impact factor: 3.240

9.  Functional organisation of Escherichia coli transcriptional regulatory network.

Authors:  Agustino Martínez-Antonio; Sarath Chandra Janga; Denis Thieffry
Journal:  J Mol Biol       Date:  2008-05-29       Impact factor: 5.469

Review 10.  Regulation by transcription factors in bacteria: beyond description.

Authors:  Enrique Balleza; Lucia N López-Bojorquez; Agustino Martínez-Antonio; Osbaldo Resendis-Antonio; Irma Lozada-Chávez; Yalbi I Balderas-Martínez; Sergio Encarnación; Julio Collado-Vides
Journal:  FEMS Microbiol Rev       Date:  2009-01       Impact factor: 16.408

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