Evidence map›Paper›PMID 23203884›Full record

ArticleNucleic acids research2013

RegulonDB v8.0: omics data sets, evolutionary conservation, regulatory phrases, cross-validated gold standards and more.

Heladia Salgado, Martin Peralta-Gil, Socorro Gama-Castro, Alberto Santos-Zavaleta, Luis Muñiz-Rascado, Jair S García-Sotelo, Verena Weiss, Hilda Solano-Lira, Irma Martínez-Flores, Alejandra Medina-Rivera and 17 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

240 citing papers in PubMed.

  1. UNRAVELING CRP/cAMP-MEDIATED METABOLIC REGULATION INbioRxiv : the preprint server for biology · 2025
    Article
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  16. Review
  17. Article
  18. Review
  19. Article
  20. Regulation ofFrontiers in microbiology · 2021
    Article

180 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors.

Heladia SalgadoPrograma de Genómica Computacional, Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, A.P. 565-A, Cuernavaca, Morelos 62100.
Martin Peralta-Gil
Socorro Gama-Castro
Alberto Santos-Zavaleta
Luis Muñiz-Rascado
Jair S García-Sotelo
Verena Weiss
Hilda Solano-Lira
Irma Martínez-Flores
Alejandra Medina-Rivera
Gerardo Salgado-Osorio
Shirley Alquicira-Hernández
Kevin Alquicira-Hernández
Alejandra López-Fuentes
Liliana Porrón-Sotelo
Araceli M Huerta
César Bonavides-Martínez
Yalbi I Balderas-Martínez
Lucia Pannier
Maricela Olvera
Aurora Labastida
Verónica Jiménez-Jacinto
Leticia Vega-Alvarado
Victor Del Moral-Chávez
Alfredo Hernández-Alvarez
Enrique Morett
Julio Collado-Vides

Funding

The EcoCyc Model Organism Database for Escherichia coli [SRI Proposal ECU 14-631]U24GM077678 · NIGMS · SRI INTERNATIONAL · PI KARP, PETER D · 2006 to 2018
$12.3M
Gene Regulation: E.coli Database Integrated ModelingR01GM071962 · NIGMS · CENTER FOR GENOMIC SCIENCES · PI COLLADO-VIDES, JULIO · 2004 to 2011
$2.4M
NIGMS NIH HHS GM071962NIGMS NIH HHS GM077678NIGMS NIH HHS R01 GM071962NIGMS NIH HHS U24 GM077678
6 · The paper itself

Abstract

This article summarizes our progress with RegulonDB (http://regulondb.ccg.unam.mx/) during the past 2 years. We have kept up-to-date the knowledge from the published literature regarding transcriptional regulation in Escherichia coli K-12. We have maintained and expanded our curation efforts to improve the breadth and quality of the encoded experimental knowledge, and we have implemented criteria for the quality of our computational predictions. Regulatory phrases now provide high-level descriptions of regulatory regions. We expanded the assignment of quality to various sources of evidence, particularly for knowledge generated through high-throughput (HT) technology. Based on our analysis of most relevant methods, we defined rules for determining the quality of evidence when multiple independent sources support an entry. With this latest release of RegulonDB, we present a new highly reliable larger collection of transcription start sites, a result of our experimental HT genome-wide efforts. These improvements, together with several novel enhancements (the tracks display, uploading format and curational guidelines), address the challenges of incorporating HT-generated knowledge into RegulonDB. Information on the evolutionary conservation of regulatory elements is also available now. Altogether, RegulonDB version 8.0 is a much better home for integrating knowledge on gene regulation from the sources of information currently available.

Indexed as

Databases, GeneticGene Expression Regulation, BacterialRegulatory Elements, TranscriptionalTranscription, GeneticBacterial ProteinsEscherichia coli K12Evolution, MolecularGenomicsInternetPromoter Regions, GeneticRegulonRepressor ProteinsSequence Analysis, RNATranscription FactorsTranscription Initiation SiteBacterial Proteinsferric uptake regulating proteins, bacterialRepressor ProteinsTranscription Factors

Identifiers

PMID23203884
PMCPMC3531196

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.