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dc.contributor.authorPozo, Fernando
dc.contributor.authorRodriguez, Jose Manuel 
dc.contributor.authorMartínez Gómez, Laura
dc.contributor.authorVazquez, Jesus 
dc.contributor.authorTress, Michael L
dc.date.accessioned2023-04-12T10:49:25Z
dc.date.available2023-04-12T10:49:25Z
dc.date.issued2022-09-16
dc.identifier.citationBioinformatics. 2022 Sep 16;38(Suppl_2):ii89-ii94.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/15785
dc.description.abstractSelecting the splice variant that best represents a coding gene is a crucial first step in many experimental analyses, and vital for mapping clinically relevant variants. This study compares the longest isoforms, MANE Select transcripts, APPRIS principal isoforms, and expression data, and aims to determine which method is best for selecting biological important reference splice variants for large-scale analyses. Proteomics analyses and human genetic variation data suggest that most coding genes have a single main protein isoform. We show that APPRIS principal isoforms and MANE Select transcripts best describe these main cellular isoforms, and find that using the longest splice variant as the representative is a poor strategy. Exons unique to the longest splice isoforms are not under selective pressure, and so are unlikely to be functionally relevant. Expression data are also a poor means of selecting the main splice variant. APPRIS principal and MANE Select exons are under purifying selection, while exons specific to alternative transcripts are not. There are MANE and APPRIS representatives for almost 95% of genes, and where they agree they are particularly effective, coinciding with the main proteomics isoform for over 98.2% of genes. APPRIS principal isoforms for human, mouse and other model species can be downloaded from the APPRIS database (https://appris.bioinfo.cnio.es), GENCODE genes (https://www.gencodegenes.org/) and the Ensembl website (https://www.ensembl.org). MANE Select transcripts for the human reference set are available from the Ensembl, GENCODE and RefSeq databases (https://www.ncbi.nlm.nih.gov/refseq/). Lists of splice variants where MANE and APPRIS coincide are available from the APPRIS database. Supplementary data are available at Bioinformatics online.es_ES
dc.description.sponsorshipThis paper was published as part of a special issue financially supported by ECCB2022. This work was supported by the National Human Genome Research Institute of the National Institutes of Health under Award Number U24HG007234. This work was also supported by the following grants: PGC2018-097019-B-I00/Ministry of Science, Innovation and Universities; IPT17/0019/Carlos III Institute of Health-Fondo de Investigacio´n Sanitaria and HR17-00247/‘la Caixa’ Foundation. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.es_ES
dc.language.isoenges_ES
dc.publisherOxford University Press es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.meshProteomics es_ES
dc.subject.meshAnimals es_ES
dc.subject.meshExons es_ES
dc.subject.meshHumans es_ES
dc.subject.meshMice es_ES
dc.subject.meshMutation es_ES
dc.subject.meshProtein Isoforms es_ES
dc.titleAPPRIS principal isoforms and MANE Select transcripts define reference splice variants.es_ES
dc.typejournal articlees_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID36124785es_ES
dc.format.volume38es_ES
dc.format.numberSuppl_2es_ES
dc.format.pageii89es_ES
dc.identifier.doi10.1093/bioinformatics/btac473es_ES
dc.contributor.funderNIH - National Human Genome Research Institute (NHGRI) (Estados Unidos) es_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España) es_ES
dc.contributor.funderInstituto de Salud Carlos III es_ES
dc.contributor.funderFundación La Caixa es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn1367-4811es_ES
dc.relation.publisherversion10.1093/bioinformatics/btac473es_ES
dc.identifier.journalBioinformatics (Oxford, England)es_ES
dc.repisalud.orgCNICCNIC::Grupos de investigación::Proteómica cardiovasculares_ES
dc.repisalud.institucionCNICes_ES
dc.rights.accessRightsopen accesses_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/PGC2018-097019-B-I00es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/IPT17/0019es_ES
dc.relation.projectFECYTinfo:eu-repo/grantAgreement/ES/HR17-00247es_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional