Evidence map›Paper›PMID 32393779›Full record

ArticleScientific data2020

CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks.

Mariana Teixeira Dornelles Parise, Doglas Parise, Rodrigo Bentes Kato, Josch Konstantin Pauling, Andreas Tauch, Vasco Ariston de Carvalho Azevedo, Jan Baumbach

Open access · goldAbstract read
In one paragraph

Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.9field-weighted citation impact, top 4% of its field
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

20 citing papers in PubMed, 49 citations in OpenAlex.

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  14. Transcriptional Regulation of the Creatine Utilization Genes ofFrontiers in bioengineering and biotechnology · 2022
    Article
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  16. Microorganisms · 2021
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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

7 authors at 3 institutions in 2 countries.

Mariana Teixeira Dornelles Parise *Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. mparise@wzw.tum.de.
Doglas Parise *Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0002-0947-3459
Rodrigo Bentes KatoInstitute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Josch Konstantin PaulingLipiTUM, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
Andreas TauchCenter for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Vasco Ariston de Carvalho AzevedoInstitute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Jan BaumbachChair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Munich, Germany.
Universidade Federal de Minas Gerais · BRTechnical University of Munich · DEBielefeld University · DE

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brazilian Federal Agency for the Support and Evaluation of Graduate Education) 001Deutsche Forschungsgemeinschaft (German Research Foundation) SFB924EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 777111Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 201336/2018-9Ministry of Science, Technology and Innovation | Conselho Nacional de Desenvolvimento Científico e Tecnológico (National Council for Scientific and Technological Development) 88887.364607/2019-00Villum Fonden (Villum Foundation) 13154
6 · The paper itself

Abstract

We present the newest version of CoryneRegNet, the reference database for corynebacterial regulatory interactions, available at www.exbio.wzw.tum.de/coryneregnet/. The exponential growth of next-generation sequencing data in recent years has allowed a better understanding of bacterial molecular mechanisms. Transcriptional regulation is one of the most important mechanisms for bacterial adaptation and survival. These mechanisms may be understood via an organism's network of regulatory interactions. Although the Corynebacterium genus is important in medical, veterinary and biotechnological research, little is known concerning the transcriptional regulation of these bacteria. Here, we unravel transcriptional regulatory networks (TRNs) for 224 corynebacterial strains by utilizing genome-scale transfer of TRNs from four model organisms and assigning statistical significance values to all predicted regulations. As a result, the number of corynebacterial strains with TRNs increased twenty times and the back-end and front-end were reimplemented to support new features as well as future database growth. CoryneRegNet 7 is the largest TRN database for the Corynebacterium genus and aids in elucidating transcriptional mechanisms enabling adaptation, survival and infection.

Indexed as

Gene Expression Regulation, BacterialGene Regulatory NetworksCorynebacteriumDatabases, GeneticDatasets as Topic

Identifiers

PMID32393779
PMCPMC7214426
OpenAlexW1756427404

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.