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P2CS: a two-component system resource for prokaryotic signal transduction research

BACKGROUND: With the escalation of high throughput prokaryotic genome sequencing, there is an ever-increasing need for databases that characterise, catalogue and present data relating to particular gene sets and genomes/metagenomes. Two-component system (TCS) signal transduction pathways are the dom...

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Autores principales: Barakat, Mohamed, Ortet, Philippe, Jourlin-Castelli, Cécile, Ansaldi, Mireille, Méjean, Vincent, Whitworth, David E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716373/
https://www.ncbi.nlm.nih.gov/pubmed/19604365
http://dx.doi.org/10.1186/1471-2164-10-315
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author Barakat, Mohamed
Ortet, Philippe
Jourlin-Castelli, Cécile
Ansaldi, Mireille
Méjean, Vincent
Whitworth, David E
author_facet Barakat, Mohamed
Ortet, Philippe
Jourlin-Castelli, Cécile
Ansaldi, Mireille
Méjean, Vincent
Whitworth, David E
author_sort Barakat, Mohamed
collection PubMed
description BACKGROUND: With the escalation of high throughput prokaryotic genome sequencing, there is an ever-increasing need for databases that characterise, catalogue and present data relating to particular gene sets and genomes/metagenomes. Two-component system (TCS) signal transduction pathways are the dominant mechanisms by which micro-organisms sense and respond to external as well as internal environmental changes. These systems respond to a wide range of stimuli by triggering diverse physiological adjustments, including alterations in gene expression, enzymatic reactions, or protein-protein interactions. DESCRIPTION: We present P2CS (Prokaryotic 2-Component Systems), an integrated and comprehensive database of TCS signal transduction proteins, which contains a compilation of the TCS genes within 755 completely sequenced prokaryotic genomes and 39 metagenomes. P2CS provides detailed annotation of each TCS gene including family classification, sequence features, functional domains, as well as genomic context visualization. To bypass the generic problem of gene underestimation during genome annotation, we also constituted and searched an ORFeome, which improves the recovery of TCS proteins compared to searches on the equivalent proteomes. CONCLUSION: P2CS has been developed for computational analysis of the modular TCSs of prokaryotic genomes and metagenomes. It provides a complete overview of information on TCSs, including predicted candidate proteins and probable proteins, which need further curation/validation. The database can be browsed and queried with a user-friendly web interface at .
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spelling pubmed-27163732009-07-28 P2CS: a two-component system resource for prokaryotic signal transduction research Barakat, Mohamed Ortet, Philippe Jourlin-Castelli, Cécile Ansaldi, Mireille Méjean, Vincent Whitworth, David E BMC Genomics Database BACKGROUND: With the escalation of high throughput prokaryotic genome sequencing, there is an ever-increasing need for databases that characterise, catalogue and present data relating to particular gene sets and genomes/metagenomes. Two-component system (TCS) signal transduction pathways are the dominant mechanisms by which micro-organisms sense and respond to external as well as internal environmental changes. These systems respond to a wide range of stimuli by triggering diverse physiological adjustments, including alterations in gene expression, enzymatic reactions, or protein-protein interactions. DESCRIPTION: We present P2CS (Prokaryotic 2-Component Systems), an integrated and comprehensive database of TCS signal transduction proteins, which contains a compilation of the TCS genes within 755 completely sequenced prokaryotic genomes and 39 metagenomes. P2CS provides detailed annotation of each TCS gene including family classification, sequence features, functional domains, as well as genomic context visualization. To bypass the generic problem of gene underestimation during genome annotation, we also constituted and searched an ORFeome, which improves the recovery of TCS proteins compared to searches on the equivalent proteomes. CONCLUSION: P2CS has been developed for computational analysis of the modular TCSs of prokaryotic genomes and metagenomes. It provides a complete overview of information on TCSs, including predicted candidate proteins and probable proteins, which need further curation/validation. The database can be browsed and queried with a user-friendly web interface at . BioMed Central 2009-07-15 /pmc/articles/PMC2716373/ /pubmed/19604365 http://dx.doi.org/10.1186/1471-2164-10-315 Text en Copyright © 2009 Barakat et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Barakat, Mohamed
Ortet, Philippe
Jourlin-Castelli, Cécile
Ansaldi, Mireille
Méjean, Vincent
Whitworth, David E
P2CS: a two-component system resource for prokaryotic signal transduction research
title P2CS: a two-component system resource for prokaryotic signal transduction research
title_full P2CS: a two-component system resource for prokaryotic signal transduction research
title_fullStr P2CS: a two-component system resource for prokaryotic signal transduction research
title_full_unstemmed P2CS: a two-component system resource for prokaryotic signal transduction research
title_short P2CS: a two-component system resource for prokaryotic signal transduction research
title_sort p2cs: a two-component system resource for prokaryotic signal transduction research
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2716373/
https://www.ncbi.nlm.nih.gov/pubmed/19604365
http://dx.doi.org/10.1186/1471-2164-10-315
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