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Tissue-specific splicing factor gene expression signatures

dc.contributor.authorGrosso, Ana Rita
dc.contributor.authorGomes, Anita Q.
dc.contributor.authorBarbosa-Morais, Nuno
dc.contributor.authorCaldeira, Sandra
dc.contributor.authorThorne, Natalie P.
dc.contributor.authorGrech, Godfrey
dc.contributor.authorvon Lindern, Marieke
dc.contributor.authorCarmo-Fonseca, Maria
dc.date.accessioned2021-09-29T10:09:27Z
dc.date.available2021-09-29T10:09:27Z
dc.date.issued2008
dc.description© 2008 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.pt_PT
dc.description.abstractThe alternative splicing code that controls and coordinates the transcriptome in complex multicellular organisms remains poorly understood. It has long been argued that regulation of alternative splicing relies on combinatorial interactions between multiple proteins, and that tissue-specific splicing decisions most likely result from differences in the concentration and/or activity of these proteins. However, large-scale data to systematically address this issue have just recently started to become available. Here we show that splicing factor gene expression signatures can be identified that reflect cell type and tissue-specific patterns of alternative splicing. We used a computational approach to analyze microarray-based gene expression profiles of splicing factors from mouse, chimpanzee and human tissues. Our results show that brain and testis, the two tissues with highest levels of alternative splicing events, have the largest number of splicing factor genes that are most highly differentially expressed. We further identified SR protein kinases and small nuclear ribonucleoprotein particle (snRNP) proteins among the splicing factor genes that are most highly differentially expressed in a particular tissue. These results indicate the power of generating signature-based predictions as an initial computational approach into a global view of tissue-specific alternative splicing regulation.pt_PT
dc.description.sponsorshipThis work was supported by grants from Fundação para a Ciência e Tecnologia, Portugal (PTDC/SAU-GMG/69739/2006), and the European Commission (MCRTN Eurythron 005499 and EURASNET, LSHG-CT-2005-518238). A.R.G. is supported by a fellowship from Fundação para a Ciência e Tecnologia (SFRH/BD/22825/2005). Funding to pay the Open Access publication charges for this article was provided by EURASNET.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationNucleic Acids Res. 2008 Sep;36(15):4823-4832pt_PT
dc.identifier.doi10.1093/nar/gkn463pt_PT
dc.identifier.eissn1362-4962
dc.identifier.issn0305-1048
dc.identifier.urihttp://hdl.handle.net/10451/49680
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherOxford University Presspt_PT
dc.relationLSHG-CT-2005-518238pt_PT
dc.relation.publisherversionhttps://academic.oup.com/narpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.titleTissue-specific splicing factor gene expression signaturespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberPTDC/SAU-GMG/69739/2006
oaire.awardNumber18015
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FSAU-GMG%2F69739%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POSI/18015/PT
oaire.citation.endPage4832pt_PT
oaire.citation.issue15pt_PT
oaire.citation.startPage4823pt_PT
oaire.citation.titleNucleic Acids Researchpt_PT
oaire.citation.volume36pt_PT
oaire.fundingStream3599-PPCDT
oaire.fundingStreamPOSI
person.familyNameGrosso
person.familyNameGomes
person.familyNameBARBOSA MORAIS
person.familyNameCaldeira
person.familyNameCarmo-Fonseca
person.givenNameAna Rita
person.givenNameAnita
person.givenNameNUNO LUÍS
person.givenNameSandra
person.givenNameMaria
person.identifierI-6656-2013
person.identifierI-2743-2013
person.identifier.ciencia-id3D18-571E-133A
person.identifier.ciencia-id4B10-E015-52B7
person.identifier.ciencia-id5C19-CA77-A74D
person.identifier.ciencia-idB31F-0435-0753
person.identifier.orcid0000-0001-6974-4209
person.identifier.orcid0000-0002-3348-0448
person.identifier.orcid0000-0002-1215-0538
person.identifier.orcid0000-0002-6057-5979
person.identifier.orcid0000-0002-3402-7143
person.identifier.ridC-3580-2014
person.identifier.scopus-author-id26639262500
person.identifier.scopus-author-id7202386033
person.identifier.scopus-author-id6507555084
person.identifier.scopus-author-id6603113354
person.identifier.scopus-author-id7007128195
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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