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MirDIP 5.2: tissue context annotation and novel microRNA curation

MirDIP is a well-established database that aggregates microRNA-gene human interactions from multiple databases to increase coverage, reduce bias, and improve usability by providing an integrated score proportional to the probability of the interaction occurring. In version 5.2, we removed eight outd...

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Autores principales: Hauschild, Anne-Christin, Pastrello, Chiara, Ekaputeri, Gitta Kirana Anindya, Bethune-Waddell, Dylan, Abovsky, Mark, Ahmed, Zuhaib, Kotlyar, Max, Lu, Richard, Jurisica, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825511/
https://www.ncbi.nlm.nih.gov/pubmed/36453996
http://dx.doi.org/10.1093/nar/gkac1070
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author Hauschild, Anne-Christin
Pastrello, Chiara
Ekaputeri, Gitta Kirana Anindya
Bethune-Waddell, Dylan
Abovsky, Mark
Ahmed, Zuhaib
Kotlyar, Max
Lu, Richard
Jurisica, Igor
author_facet Hauschild, Anne-Christin
Pastrello, Chiara
Ekaputeri, Gitta Kirana Anindya
Bethune-Waddell, Dylan
Abovsky, Mark
Ahmed, Zuhaib
Kotlyar, Max
Lu, Richard
Jurisica, Igor
author_sort Hauschild, Anne-Christin
collection PubMed
description MirDIP is a well-established database that aggregates microRNA-gene human interactions from multiple databases to increase coverage, reduce bias, and improve usability by providing an integrated score proportional to the probability of the interaction occurring. In version 5.2, we removed eight outdated resources, added a new resource (miRNATIP), and ran five prediction algorithms for miRBase and mirGeneDB. In total, mirDIP 5.2 includes 46 364 047 predictions for 27 936 genes and 2734 microRNAs, making it the first database to provide interactions using data from mirGeneDB. Moreover, we curated and integrated 32 497 novel microRNAs from 14 publications to accelerate the use of these novel data. In this release, we also extend the content and functionality of mirDIP by associating contexts with microRNAs, genes, and microRNA–gene interactions. We collected and processed microRNA and gene expression data from 20 resources and acquired information on 330 tissue and disease contexts for 2657 microRNAs, 27 576 genes and 123 651 910 gene–microRNA–tissue interactions. Finally, we improved the usability of mirDIP by enabling the user to search the database using precursor IDs, and we integrated miRAnno, a network-based tool for identifying pathways linked to specific microRNAs. We also provide a mirDIP API to facilitate access to its integrated predictions. Updated mirDIP is available at https://ophid.utoronto.ca/mirDIP.
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spelling pubmed-98255112023-01-10 MirDIP 5.2: tissue context annotation and novel microRNA curation Hauschild, Anne-Christin Pastrello, Chiara Ekaputeri, Gitta Kirana Anindya Bethune-Waddell, Dylan Abovsky, Mark Ahmed, Zuhaib Kotlyar, Max Lu, Richard Jurisica, Igor Nucleic Acids Res Database Issue MirDIP is a well-established database that aggregates microRNA-gene human interactions from multiple databases to increase coverage, reduce bias, and improve usability by providing an integrated score proportional to the probability of the interaction occurring. In version 5.2, we removed eight outdated resources, added a new resource (miRNATIP), and ran five prediction algorithms for miRBase and mirGeneDB. In total, mirDIP 5.2 includes 46 364 047 predictions for 27 936 genes and 2734 microRNAs, making it the first database to provide interactions using data from mirGeneDB. Moreover, we curated and integrated 32 497 novel microRNAs from 14 publications to accelerate the use of these novel data. In this release, we also extend the content and functionality of mirDIP by associating contexts with microRNAs, genes, and microRNA–gene interactions. We collected and processed microRNA and gene expression data from 20 resources and acquired information on 330 tissue and disease contexts for 2657 microRNAs, 27 576 genes and 123 651 910 gene–microRNA–tissue interactions. Finally, we improved the usability of mirDIP by enabling the user to search the database using precursor IDs, and we integrated miRAnno, a network-based tool for identifying pathways linked to specific microRNAs. We also provide a mirDIP API to facilitate access to its integrated predictions. Updated mirDIP is available at https://ophid.utoronto.ca/mirDIP. Oxford University Press 2022-12-01 /pmc/articles/PMC9825511/ /pubmed/36453996 http://dx.doi.org/10.1093/nar/gkac1070 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Hauschild, Anne-Christin
Pastrello, Chiara
Ekaputeri, Gitta Kirana Anindya
Bethune-Waddell, Dylan
Abovsky, Mark
Ahmed, Zuhaib
Kotlyar, Max
Lu, Richard
Jurisica, Igor
MirDIP 5.2: tissue context annotation and novel microRNA curation
title MirDIP 5.2: tissue context annotation and novel microRNA curation
title_full MirDIP 5.2: tissue context annotation and novel microRNA curation
title_fullStr MirDIP 5.2: tissue context annotation and novel microRNA curation
title_full_unstemmed MirDIP 5.2: tissue context annotation and novel microRNA curation
title_short MirDIP 5.2: tissue context annotation and novel microRNA curation
title_sort mirdip 5.2: tissue context annotation and novel microrna curation
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825511/
https://www.ncbi.nlm.nih.gov/pubmed/36453996
http://dx.doi.org/10.1093/nar/gkac1070
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