Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Arancio, Walter, Sciaraffa, Nicolina, Coronnello, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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
_version_ 1785033389391216640
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
work_keys_str_mv AT aranciowalter mbsagenomebrowserannotationtrackforhighconfidentmicrornabindingsitesinwholehumantranscriptome
AT sciaraffanicolina mbsagenomebrowserannotationtrackforhighconfidentmicrornabindingsitesinwholehumantranscriptome
AT coronnelloclaudia mbsagenomebrowserannotationtrackforhighconfidentmicrornabindingsitesinwholehumantranscriptome