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MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome
MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) that play a role in many regulatory pathways in eukaryotes. They usually exert their functions by binding mature messenger RNAs. The prediction of the binding targets of the endogenous miRNAs is crucial to unravel the processes they ar...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141451/ https://www.ncbi.nlm.nih.gov/pubmed/37114805 http://dx.doi.org/10.1093/database/baad015 |
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author | Arancio, Walter Sciaraffa, Nicolina Coronnello, Claudia |
author_facet | Arancio, Walter Sciaraffa, Nicolina Coronnello, Claudia |
author_sort | Arancio, Walter |
collection | PubMed |
description | MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) that play a role in many regulatory pathways in eukaryotes. They usually exert their functions by binding mature messenger RNAs. The prediction of the binding targets of the endogenous miRNAs is crucial to unravel the processes they are involved in. In this work, we performed an extensive miRNA binding sites (MBS) prediction over all the annotated transcript sequences and made them available through an UCSC track. MBS annotation track allows to study and visualize the human miRNA binding sites transcriptome-wide in a genome browser, together with any other available information the user is interested in. In the creation of the database that underlies the MBS track, three consolidated algorithms of miRNA binding prediction have been used: PITA, miRanda and TargetScan, and information about the binding sites predicted by all of them has been collected. MBS track displays high-confident miRNA binding sites for the whole length of each human transcript, both coding and non-coding ones. Each annotation can redirect to a web page with the details of the miRNA binding and the involved transcripts. MBS can be easily applied to retrieve specific information such as the effects of alternative splicing on miRNA binding or when a specific miRNA binds an exon–exon junction in the mature RNA. Overall, MBS will be of great help for studying and visualizing, in a user-friendly mode, the predicted miRNA binding sites on all the transcripts arising from a gene or a region of interest. Database URL https://datasharingada.fondazionerimed.com:8080/MBS |
format | Online Article Text |
id | pubmed-10141451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-101414512023-04-29 MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome Arancio, Walter Sciaraffa, Nicolina Coronnello, Claudia Database (Oxford) Original Article MicroRNAs (miRNAs) are small non-coding ribonucleic acids (RNAs) that play a role in many regulatory pathways in eukaryotes. They usually exert their functions by binding mature messenger RNAs. The prediction of the binding targets of the endogenous miRNAs is crucial to unravel the processes they are involved in. In this work, we performed an extensive miRNA binding sites (MBS) prediction over all the annotated transcript sequences and made them available through an UCSC track. MBS annotation track allows to study and visualize the human miRNA binding sites transcriptome-wide in a genome browser, together with any other available information the user is interested in. In the creation of the database that underlies the MBS track, three consolidated algorithms of miRNA binding prediction have been used: PITA, miRanda and TargetScan, and information about the binding sites predicted by all of them has been collected. MBS track displays high-confident miRNA binding sites for the whole length of each human transcript, both coding and non-coding ones. Each annotation can redirect to a web page with the details of the miRNA binding and the involved transcripts. MBS can be easily applied to retrieve specific information such as the effects of alternative splicing on miRNA binding or when a specific miRNA binds an exon–exon junction in the mature RNA. Overall, MBS will be of great help for studying and visualizing, in a user-friendly mode, the predicted miRNA binding sites on all the transcripts arising from a gene or a region of interest. Database URL https://datasharingada.fondazionerimed.com:8080/MBS Oxford University Press 2023-04-22 /pmc/articles/PMC10141451/ /pubmed/37114805 http://dx.doi.org/10.1093/database/baad015 Text en © The Author(s) 2023. Published by Oxford University Press. 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 | Original Article Arancio, Walter Sciaraffa, Nicolina Coronnello, Claudia MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome |
title | MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome |
title_full | MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome |
title_fullStr | MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome |
title_full_unstemmed | MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome |
title_short | MBS: a genome browser annotation track for high-confident microRNA binding sites in whole human transcriptome |
title_sort | mbs: a genome browser annotation track for high-confident microrna binding sites in whole human transcriptome |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141451/ https://www.ncbi.nlm.nih.gov/pubmed/37114805 http://dx.doi.org/10.1093/database/baad015 |
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