Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783385895530921984 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6324031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT santoszavaletaalberto regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT salgadoheladia regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT gamacastrosocorro regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT sanchezperezmishael regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT gomezromerolaura regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT ledezmatejeidadaniela regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT garciasotelojairsantiago regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT alquicirahernandezkevin regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT munizrascadoluisjose regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT penaloredopablo regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT ishidagutierrezcecilia regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT velazquezramirezdavida regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT delmoralchavezvictor regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT bonavidesmartinezcesar regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT mendezcruzcarlosfrancisco regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT galaganjames regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 AT colladovidesjulio regulondbv105tacklingchallengestounifyclassicandhighthroughputknowledgeofgeneregulationinecolik12 |