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RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12

RegulonDB, first published 20 years ago, is a comprehensive electronic resource about regulation of transcription initiation of Escherichia coli K-12 with decades of knowledge from classic molecular biology experiments, and recently also from high-throughput genomic methodologies. We curated the lit...

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Autores principales: Santos-Zavaleta, Alberto, Salgado, Heladia, Gama-Castro, Socorro, Sánchez-Pérez, Mishael, Gómez-Romero, Laura, Ledezma-Tejeida, Daniela, García-Sotelo, Jair Santiago, Alquicira-Hernández, Kevin, Muñiz-Rascado, Luis José, Peña-Loredo, Pablo, Ishida-Gutiérrez, Cecilia, Velázquez-Ramírez, David A, Del Moral-Chávez, Víctor, Bonavides-Martínez, César, Méndez-Cruz, Carlos-Francisco, Galagan, James, Collado-Vides, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324031/
https://www.ncbi.nlm.nih.gov/pubmed/30395280
http://dx.doi.org/10.1093/nar/gky1077
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author Santos-Zavaleta, Alberto
Salgado, Heladia
Gama-Castro, Socorro
Sánchez-Pérez, Mishael
Gómez-Romero, Laura
Ledezma-Tejeida, Daniela
García-Sotelo, Jair Santiago
Alquicira-Hernández, Kevin
Muñiz-Rascado, Luis José
Peña-Loredo, Pablo
Ishida-Gutiérrez, Cecilia
Velázquez-Ramírez, David A
Del Moral-Chávez, Víctor
Bonavides-Martínez, César
Méndez-Cruz, Carlos-Francisco
Galagan, James
Collado-Vides, Julio
author_facet Santos-Zavaleta, Alberto
Salgado, Heladia
Gama-Castro, Socorro
Sánchez-Pérez, Mishael
Gómez-Romero, Laura
Ledezma-Tejeida, Daniela
García-Sotelo, Jair Santiago
Alquicira-Hernández, Kevin
Muñiz-Rascado, Luis José
Peña-Loredo, Pablo
Ishida-Gutiérrez, Cecilia
Velázquez-Ramírez, David A
Del Moral-Chávez, Víctor
Bonavides-Martínez, César
Méndez-Cruz, Carlos-Francisco
Galagan, James
Collado-Vides, Julio
author_sort Santos-Zavaleta, Alberto
collection PubMed
description RegulonDB, first published 20 years ago, is a comprehensive electronic resource about regulation of transcription initiation of Escherichia coli K-12 with decades of knowledge from classic molecular biology experiments, and recently also from high-throughput genomic methodologies. We curated the literature to keep RegulonDB up to date, and initiated curation of ChIP and gSELEX experiments. We estimate that current knowledge describes between 10% and 30% of the expected total number of transcription factor- gene regulatory interactions in E. coli. RegulonDB provides datasets for interactions for which there is no evidence that they affect expression, as well as expression datasets. We developed a proof of concept pipeline to merge binding and expression evidence to identify regulatory interactions. These datasets can be visualized in the RegulonDB JBrowse. We developed the Microbial Conditions Ontology with a controlled vocabulary for the minimal properties to reproduce an experiment, which contributes to integrate data from high throughput and classic literature. At a higher level of integration, we report Genetic Sensory-Response Units for 200 transcription factors, including their regulation at the metabolic level, and include summaries for 70 of them. Finally, we summarize our research with Natural language processing strategies to enhance our biocuration work.
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spelling pubmed-63240312019-01-10 RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12 Santos-Zavaleta, Alberto Salgado, Heladia Gama-Castro, Socorro Sánchez-Pérez, Mishael Gómez-Romero, Laura Ledezma-Tejeida, Daniela García-Sotelo, Jair Santiago Alquicira-Hernández, Kevin Muñiz-Rascado, Luis José Peña-Loredo, Pablo Ishida-Gutiérrez, Cecilia Velázquez-Ramírez, David A Del Moral-Chávez, Víctor Bonavides-Martínez, César Méndez-Cruz, Carlos-Francisco Galagan, James Collado-Vides, Julio Nucleic Acids Res Database Issue RegulonDB, first published 20 years ago, is a comprehensive electronic resource about regulation of transcription initiation of Escherichia coli K-12 with decades of knowledge from classic molecular biology experiments, and recently also from high-throughput genomic methodologies. We curated the literature to keep RegulonDB up to date, and initiated curation of ChIP and gSELEX experiments. We estimate that current knowledge describes between 10% and 30% of the expected total number of transcription factor- gene regulatory interactions in E. coli. RegulonDB provides datasets for interactions for which there is no evidence that they affect expression, as well as expression datasets. We developed a proof of concept pipeline to merge binding and expression evidence to identify regulatory interactions. These datasets can be visualized in the RegulonDB JBrowse. We developed the Microbial Conditions Ontology with a controlled vocabulary for the minimal properties to reproduce an experiment, which contributes to integrate data from high throughput and classic literature. At a higher level of integration, we report Genetic Sensory-Response Units for 200 transcription factors, including their regulation at the metabolic level, and include summaries for 70 of them. Finally, we summarize our research with Natural language processing strategies to enhance our biocuration work. Oxford University Press 2019-01-08 2018-11-05 /pmc/articles/PMC6324031/ /pubmed/30395280 http://dx.doi.org/10.1093/nar/gky1077 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Santos-Zavaleta, Alberto
Salgado, Heladia
Gama-Castro, Socorro
Sánchez-Pérez, Mishael
Gómez-Romero, Laura
Ledezma-Tejeida, Daniela
García-Sotelo, Jair Santiago
Alquicira-Hernández, Kevin
Muñiz-Rascado, Luis José
Peña-Loredo, Pablo
Ishida-Gutiérrez, Cecilia
Velázquez-Ramírez, David A
Del Moral-Chávez, Víctor
Bonavides-Martínez, César
Méndez-Cruz, Carlos-Francisco
Galagan, James
Collado-Vides, Julio
RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12
title RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12
title_full RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12
title_fullStr RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12
title_full_unstemmed RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12
title_short RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12
title_sort regulondb v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in e. coli k-12
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6324031/
https://www.ncbi.nlm.nih.gov/pubmed/30395280
http://dx.doi.org/10.1093/nar/gky1077
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