Evidence map›Paper›PMID 26062809›Full record

ArticleBMC genomics2015

CMRegNet-An interspecies reference database for corynebacterial and mycobacterial regulatory networks.

Vinicius A C Abreu, Sintia Almeida, Sandeep Tiwari, Syed Shah Hassan, Diego Mariano, Artur Silva, Jan Baumbach, Vasco Azevedo, Richard Röttger

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Vinicius A C AbreuGraduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (Universidade Federal de Minas Gerais), Belo Horizonte, Minas Gerais, Brazil. vabreu@isoladas.grad.ufmg.br.
Sintia AlmeidaGraduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (Universidade Federal de Minas Gerais), Belo Horizonte, Minas Gerais, Brazil. sintiaalmeida@ufmg.br.
Sandeep TiwariGraduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (Universidade Federal de Minas Gerais), Belo Horizonte, Minas Gerais, Brazil. sandy1986sai@ufmg.br.
Syed Shah HassanGraduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (Universidade Federal de Minas Gerais), Belo Horizonte, Minas Gerais, Brazil. syedshah-hassan@ufmg.br.
Diego MarianoGraduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (Universidade Federal de Minas Gerais), Belo Horizonte, Minas Gerais, Brazil. diegomariano@ufmg.br.
Artur SilvaInstitute of Biological Sciences, Federal University of Pará, Belém, Pará, Brazil. asilva@ufpa.br.
Jan BaumbachDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark. jan.baumbach@imada.sdu.dk.
Vasco AzevedoGraduate Program in Bioinformatics, Institute of Biological Sciences, Federal University of Minas Gerais (Universidade Federal de Minas Gerais), Belo Horizonte, Minas Gerais, Brazil. vasco@icb.ufmg.br.
Richard RöttgerDepartment of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark. roettger@mpi-inf.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOrganisms utilize a multitude of mechanisms for responding to changing environmental conditions, maintaining their functional homeostasis and to overcome stress situations. One of the most important mechanisms is transcriptional gene regulation. In-depth study of the transcriptional gene regulatory network can lead to various practical applications, creating a greater understanding of how organisms control their cellular behavior. DESCRIPTION: In this work, we present a new database, CMRegNet for the gene regulatory networks of Corynebacterium glutamicum ATCC 13032 and Mycobacterium tuberculosis H37Rv. We furthermore transferred the known networks of these model organisms to 18 other non-model but phylogenetically close species (target organisms) of the CMNR group. In comparison to other network transfers, for the first time we utilized two model organisms resulting into a more diverse and complete network of the target organisms.

conclusionCMRegNet provides easy access to a total of 3,103 known regulations in C. glutamicum ATCC 13032 and M. tuberculosis H37Rv and to 38,940 evolutionary conserved interactions for 18 non-model species of the CMNR group. This makes CMRegNet to date the most comprehensive database of regulatory interactions of CMNR bacteria. The content of CMRegNet is publicly available online via a web interface found at http://lgcm.icb.ufmg.br/cmregnet .

Indexed as

Databases, GeneticGene Regulatory NetworksComputational BiologyCorynebacterium glutamicumGene Expression Regulation, BacterialGenes, BacterialInternetMycobacterium tuberculosisPhylogeny

Identifiers

PMID26062809
PMCPMC4464113

What OpenQuestion holds

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Registered trials

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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.