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Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli

The active and inactive state of transcription factors in growing cells is usually directed by allosteric physicochemical signals or metabolites, which are in turn either produced in the cell or obtained from the environment by the activity of the products of effector genes. To understand the regula...

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Autores principales: Janga, Sarath Chandra, Salgado, Heladia, Martínez-Antonio, Agustino, Collado-Vides, Julio
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2175315/
https://www.ncbi.nlm.nih.gov/pubmed/17933780
http://dx.doi.org/10.1093/nar/gkm743
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author Janga, Sarath Chandra
Salgado, Heladia
Martínez-Antonio, Agustino
Collado-Vides, Julio
author_facet Janga, Sarath Chandra
Salgado, Heladia
Martínez-Antonio, Agustino
Collado-Vides, Julio
author_sort Janga, Sarath Chandra
collection PubMed
description The active and inactive state of transcription factors in growing cells is usually directed by allosteric physicochemical signals or metabolites, which are in turn either produced in the cell or obtained from the environment by the activity of the products of effector genes. To understand the regulatory dynamics and to improve our knowledge about how transcription factors (TFs) respond to endogenous and exogenous signals in the bacterial model, Escherichia coli, we previously proposed to classify TFs into external, internal and hybrid sensing classes depending on the source of their allosteric or equivalent metabolite. Here we analyze how a cell uses its topological structures in the context of sensing machinery and show that, while feed forward loops (FFLs) tightly integrate internal and external sensing TFs connecting TFs from different layers of the hierarchical transcriptional regulatory network (TRN), bifan motifs frequently connect TFs belonging to the same sensing class and could act as a bridge between TFs originating from the same level in the hierarchy. We observe that modules identified in the regulatory network of E. coli are heterogeneous in sensing context with a clear combination of internal and external sensing categories depending on the physiological role played by the module. We also note that propensity of two-component response regulators increases at promoters, as the number of TFs regulating a target operon increases. Finally we show that evolutionary families of TFs do not show a tendency to preserve their sensing abilities. Our results provide a detailed panorama of the topological structures of E. coli TRN and the way TFs they compose off, sense their surroundings by coordinating responses.
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spelling pubmed-21753152008-01-07 Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli Janga, Sarath Chandra Salgado, Heladia Martínez-Antonio, Agustino Collado-Vides, Julio Nucleic Acids Res Computational Biology The active and inactive state of transcription factors in growing cells is usually directed by allosteric physicochemical signals or metabolites, which are in turn either produced in the cell or obtained from the environment by the activity of the products of effector genes. To understand the regulatory dynamics and to improve our knowledge about how transcription factors (TFs) respond to endogenous and exogenous signals in the bacterial model, Escherichia coli, we previously proposed to classify TFs into external, internal and hybrid sensing classes depending on the source of their allosteric or equivalent metabolite. Here we analyze how a cell uses its topological structures in the context of sensing machinery and show that, while feed forward loops (FFLs) tightly integrate internal and external sensing TFs connecting TFs from different layers of the hierarchical transcriptional regulatory network (TRN), bifan motifs frequently connect TFs belonging to the same sensing class and could act as a bridge between TFs originating from the same level in the hierarchy. We observe that modules identified in the regulatory network of E. coli are heterogeneous in sensing context with a clear combination of internal and external sensing categories depending on the physiological role played by the module. We also note that propensity of two-component response regulators increases at promoters, as the number of TFs regulating a target operon increases. Finally we show that evolutionary families of TFs do not show a tendency to preserve their sensing abilities. Our results provide a detailed panorama of the topological structures of E. coli TRN and the way TFs they compose off, sense their surroundings by coordinating responses. Oxford University Press 2007-11 2007-10-12 /pmc/articles/PMC2175315/ /pubmed/17933780 http://dx.doi.org/10.1093/nar/gkm743 Text en © 2007 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Janga, Sarath Chandra
Salgado, Heladia
Martínez-Antonio, Agustino
Collado-Vides, Julio
Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli
title Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli
title_full Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli
title_fullStr Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli
title_full_unstemmed Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli
title_short Coordination logic of the sensing machinery in the transcriptional regulatory network of Escherichia coli
title_sort coordination logic of the sensing machinery in the transcriptional regulatory network of escherichia coli
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2175315/
https://www.ncbi.nlm.nih.gov/pubmed/17933780
http://dx.doi.org/10.1093/nar/gkm743
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