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

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 mech...

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Autores principales: Parise, Mariana Teixeira Dornelles, Parise, Doglas, Kato, Rodrigo Bentes, Pauling, Josch Konstantin, Tauch, Andreas, Azevedo, Vasco Ariston de Carvalho, Baumbach, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214426/
https://www.ncbi.nlm.nih.gov/pubmed/32393779
http://dx.doi.org/10.1038/s41597-020-0484-9
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author Parise, Mariana Teixeira Dornelles
Parise, Doglas
Kato, Rodrigo Bentes
Pauling, Josch Konstantin
Tauch, Andreas
Azevedo, Vasco Ariston de Carvalho
Baumbach, Jan
author_facet Parise, Mariana Teixeira Dornelles
Parise, Doglas
Kato, Rodrigo Bentes
Pauling, Josch Konstantin
Tauch, Andreas
Azevedo, Vasco Ariston de Carvalho
Baumbach, Jan
author_sort Parise, Mariana Teixeira Dornelles
collection PubMed
description 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.
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spelling pubmed-72144262020-05-14 CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks Parise, Mariana Teixeira Dornelles Parise, Doglas Kato, Rodrigo Bentes Pauling, Josch Konstantin Tauch, Andreas Azevedo, Vasco Ariston de Carvalho Baumbach, Jan Sci Data Article 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. Nature Publishing Group UK 2020-05-11 /pmc/articles/PMC7214426/ /pubmed/32393779 http://dx.doi.org/10.1038/s41597-020-0484-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Parise, Mariana Teixeira Dornelles
Parise, Doglas
Kato, Rodrigo Bentes
Pauling, Josch Konstantin
Tauch, Andreas
Azevedo, Vasco Ariston de Carvalho
Baumbach, Jan
CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
title CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
title_full CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
title_fullStr CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
title_full_unstemmed CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
title_short CoryneRegNet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
title_sort coryneregnet 7, the reference database and analysis platform for corynebacterial gene regulatory networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214426/
https://www.ncbi.nlm.nih.gov/pubmed/32393779
http://dx.doi.org/10.1038/s41597-020-0484-9
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