Evidence map›Paper›PMID 19838305›Full record

ArticlePloS one2009

Genome-wide identification of transcription start sites, promoters and transcription factor binding sites in E. coli.

Alfredo Mendoza-Vargas, Leticia Olvera, Maricela Olvera, Ricardo Grande, Leticia Vega-Alvarado, Blanca Taboada, Verónica Jimenez-Jacinto, Heladia Salgado, Katy Juárez, Bruno Contreras-Moreira and 3 more

Abstract read
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Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

155 citing papers in PubMed.

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

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Alfredo Mendoza-VargasDepartamento de Ingeniería Celular y Biocatálisis, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México.
Leticia Olvera
Maricela Olvera
Ricardo Grande
Leticia Vega-Alvarado
Blanca Taboada
Verónica Jimenez-Jacinto
Heladia Salgado
Katy Juárez
Bruno Contreras-Moreira
Araceli M Huerta
Julio Collado-Vides
Enrique Morett

Funding

Gene Regulation: E.coli Database Integrated ModelingR01GM071962 · NIGMS · CENTER FOR GENOMIC SCIENCES · PI COLLADO-VIDES, JULIO · 2004 to 2011
$2.4M
NIGMS NIH HHS GM071962-03NIGMS NIH HHS R01 GM071962
6 · The paper itself

Abstract

Despite almost 40 years of molecular genetics research in Escherichia coli a major fraction of its Transcription Start Sites (TSSs) are still unknown, limiting therefore our understanding of the regulatory circuits that control gene expression in this model organism. RegulonDB (http://regulondb.ccg.unam.mx/) is aimed at integrating the genetic regulatory network of E. coli K12 as an entirely bioinformatic project up till now. In this work, we extended its aims by generating experimental data at a genome scale on TSSs, promoters and regulatory regions. We implemented a modified 5' RACE protocol and an unbiased High Throughput Pyrosequencing Strategy (HTPS) that allowed us to map more than 1700 TSSs with high precision. From this collection, about 230 corresponded to previously reported TSSs, which helped us to benchmark both our methodologies and the accuracy of the previous mapping experiments. The other ca 1500 TSSs mapped belong to about 1000 different genes, many of them with no assigned function. We identified promoter sequences and type of sigma factors that control the expression of about 80% of these genes. As expected, the housekeeping sigma(70) was the most common type of promoter, followed by sigma(38). The majority of the putative TSSs were located between 20 to 40 nucleotides from the translational start site. Putative regulatory binding sites for transcription factors were detected upstream of many TSSs. For a few transcripts, riboswitches and small RNAs were found. Several genes also had additional TSSs within the coding region. Unexpectedly, the HTPS experiments revealed extensive antisense transcription, probably for regulatory functions. The new information in RegulonDB, now with more than 2400 experimentally determined TSSs, strengthens the accuracy of promoter prediction, operon structure, and regulatory networks and provides valuable new information that will facilitate the understanding from a global perspective the complex and intricate regulatory network that operates in E. coli.

Indexed as

Genome, BacterialTranscription, GeneticTranscription Initiation SiteBase SequenceBinding SitesChromosome MappingComputational BiologyEscherichia coliGene Regulatory NetworksGenes, BacterialModels, GeneticMolecular Sequence DataPromoter Regions, GeneticSequence Homology, Nucleic AcidTranscription FactorsTranscription Factors

Identifiers

PMID19838305
PMCPMC2760140

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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.