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DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes

Despite antibiotic resistance being a matter of growing concern worldwide, the bacterial mechanisms of pathogenesis remain underexplored, restraining our ability to develop new antimicrobials. The rise of high-throughput sequencing technology has made available a massive amount of transcriptomic dat...

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Autores principales: Macho Rendón, Javier, Lang, Benjamin, Ramos Llorens, Marc, Gaetano Tartaglia, Gian, Torrent Burgas, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779005/
https://www.ncbi.nlm.nih.gov/pubmed/33084904
http://dx.doi.org/10.1093/nar/gkaa890
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author Macho Rendón, Javier
Lang, Benjamin
Ramos Llorens, Marc
Gaetano Tartaglia, Gian
Torrent Burgas, Marc
author_facet Macho Rendón, Javier
Lang, Benjamin
Ramos Llorens, Marc
Gaetano Tartaglia, Gian
Torrent Burgas, Marc
author_sort Macho Rendón, Javier
collection PubMed
description Despite antibiotic resistance being a matter of growing concern worldwide, the bacterial mechanisms of pathogenesis remain underexplored, restraining our ability to develop new antimicrobials. The rise of high-throughput sequencing technology has made available a massive amount of transcriptomic data that could help elucidate the mechanisms underlying bacterial infection. Here, we introduce the DualSeqDB database, a resource that helps the identification of gene transcriptional changes in both pathogenic bacteria and their natural hosts upon infection. DualSeqDB comprises nearly 300 000 entries from eight different studies, with information on bacterial and host differential gene expression under in vivo and in vitro conditions. Expression data values were calculated entirely from raw data and analyzed through a standardized pipeline to ensure consistency between different studies. It includes information on seven different strains of pathogenic bacteria and a variety of cell types and tissues in Homo sapiens, Mus musculus and Macaca fascicularis at different time points. We envisage that DualSeqDB can help the research community in the systematic characterization of genes involved in host infection and help the development and tailoring of new molecules against infectious diseases. DualSeqDB is freely available at http://www.tartaglialab.com/dualseq.
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spelling pubmed-77790052021-01-06 DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes Macho Rendón, Javier Lang, Benjamin Ramos Llorens, Marc Gaetano Tartaglia, Gian Torrent Burgas, Marc Nucleic Acids Res Database Issue Despite antibiotic resistance being a matter of growing concern worldwide, the bacterial mechanisms of pathogenesis remain underexplored, restraining our ability to develop new antimicrobials. The rise of high-throughput sequencing technology has made available a massive amount of transcriptomic data that could help elucidate the mechanisms underlying bacterial infection. Here, we introduce the DualSeqDB database, a resource that helps the identification of gene transcriptional changes in both pathogenic bacteria and their natural hosts upon infection. DualSeqDB comprises nearly 300 000 entries from eight different studies, with information on bacterial and host differential gene expression under in vivo and in vitro conditions. Expression data values were calculated entirely from raw data and analyzed through a standardized pipeline to ensure consistency between different studies. It includes information on seven different strains of pathogenic bacteria and a variety of cell types and tissues in Homo sapiens, Mus musculus and Macaca fascicularis at different time points. We envisage that DualSeqDB can help the research community in the systematic characterization of genes involved in host infection and help the development and tailoring of new molecules against infectious diseases. DualSeqDB is freely available at http://www.tartaglialab.com/dualseq. Oxford University Press 2020-10-21 /pmc/articles/PMC7779005/ /pubmed/33084904 http://dx.doi.org/10.1093/nar/gkaa890 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Macho Rendón, Javier
Lang, Benjamin
Ramos Llorens, Marc
Gaetano Tartaglia, Gian
Torrent Burgas, Marc
DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes
title DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes
title_full DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes
title_fullStr DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes
title_full_unstemmed DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes
title_short DualSeqDB: the host–pathogen dual RNA sequencing database for infection processes
title_sort dualseqdb: the host–pathogen dual rna sequencing database for infection processes
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779005/
https://www.ncbi.nlm.nih.gov/pubmed/33084904
http://dx.doi.org/10.1093/nar/gkaa890
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