Publication:
IntroVerse: a comprehensive database of introns across human tissues

Simple item page
dc.contributor.authorGarcia-Ruiz, Sonia
dc.contributor.authorGustavsson, Emil K.
dc.contributor.authorZhang, David
dc.contributor.authorReynolds, Regina H.
dc.contributor.authorChen, Zhongbo
dc.contributor.authorFairbrother-Browne, Aine
dc.contributor.authorGil Martínez, Ana Luisa
dc.contributor.authorBotía Blaya, Juan Antonio
dc.contributor.authorCollado-Torres, Leonardo
dc.contributor.authorRyten, Mina
dc.contributor.departmentIngeniería de la Información y las Comunicaciones
dc.contributor.otherFacultades de la UMU::Facultad de Informática
dc.date.accessioned2026-03-02T11:11:09Z
dc.date.available2026-03-02T11:11:09Z
dc.date.copyright© The Author(s) 2022
dc.date.issued2022-11-18
dc.description.abstractDysregulation of RNA splicing contributes to both rare and complex diseases. RNA-sequencing data from human tissues has shown that this process can be inaccurate, resulting in the presence of novel introns detected at low frequency across samples and within an individual. To enable the full spectrum of intron use to be explored, we have developed Intro- Verse, which offers an extensive catalogue on the splicing of 332,571 annotated introns and a linked set of 4,679,474 novel junctions covering 32,669 different genes. This dataset has been generated through the analysis of 17,510 human control RNA samples from 54 tissues provided by the Genotype-Tissue Expression Consortium. IntroVerse has two unique features: (i) it provides a complete catalogue of novel junctions and (ii) each novel junction has been assigned to a specific annotated intron. This unique, hierarchical structure offers multiple uses, including the identification of novel transcripts from known genes and their tissue-specific usage, and the assessment of background splicing noise for introns thought to be mis-spliced in disease states. Intro-Verse provides a user-friendly web interface and is freely available at https://rytenlab.com/browser/app/introverse.
dc.formatapplication/pdf
dc.identifier.citationGarcía-Ruiz S, Gustavsson EK, Zhang D, Reynolds RH, Chen Z, Fairbrother-Browne A, Gil-Martínez AL, Botia JA, Collado-Torres L, Ryten M. IntroVerse: a comprehensive database of introns across human tissues. Nucleic Acids Res. 2023 Jan 6;51(D1):D167-D178. doi: 10.1093/nar/gkac1056.
dc.identifier.doihttps://doi.org/10.1093/nar/gkac1056
dc.identifier.eissn1362-4962
dc.identifier.issn0305-1048
dc.identifier.urihttp://hdl.handle.net/10201/217041
dc.languageeng
dc.publisherOxford University Press
dc.relationEl trabajo fue financiado parcialmente mediante la concesión de AWS Cloud Credit for Research (Amazon Web Services) para el procesamiento de datos en la nube. Asimismo, los distintos autores contaron con financiación competitiva internacional, incluyendo una Tenure Track Clinician Scientist Fellowship [MR/N008324/1], una Postdoctoral Fellowship Program in Alzheimer’s Disease Research (BrightFocus Foundation) [A2021009F], una Biotechnology and Biological Sciences Research Council (BBSRC, UK) London Interdisciplinary Doctoral Fellowship, una Clinical Research Fellowship de la Leonard Wolfson Foundation, y financiación del National Institutes of Health (NIH, R01MH123567).
dc.relation.publisherversionhttps://academic.oup.com/nar/article/51/D1/D167/6833238#389814915
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.odsNo relacionado con ningún objetivo de desarrollo sostenible
dc.titleIntroVerse: a comprehensive database of introns across human tissues
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublication848746a7-05ac-4d08-82cb-e6a80680c24f
relation.isAuthorOfPublicationee187cf4-aebe-4d10-bfe0-09dedbc8daaf
relation.isAuthorOfPublication.latestForDiscovery848746a7-05ac-4d08-82cb-e6a80680c24f
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
gkac1056.pdf
Size:
2.78 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.37 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Artículos