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dc.creatorRodius, Sophiees
dc.creatorNazarov, Petr V.es
dc.creatorNepomuceno Chamorro, Isabel de los Ángeleses
dc.creatorJeanty, Célinees
dc.creatorGonzález Rosa, Juan Manueles
dc.creatorIbberson, Markes
dc.creatorBenites da Costa, Ricardo M.es
dc.creatorXenarios, Ioannises
dc.creatorMercader, Nadiaes
dc.creatorAzuaje, Franciscoes
dc.date.accessioned2022-07-22T10:09:08Z
dc.date.available2022-07-22T10:09:08Z
dc.date.issued2014
dc.identifier.citationRodius, S., Nazarov, P.V., Nepomuceno Chamorro, I.d.l.Á., Jeanty, C., González Rosa, J.M., Ibberson, M.,...,Azuaje, F. (2014). Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models. BMC Genomics, 15 (art. nº 852)
dc.identifier.issn1471-2164es
dc.identifier.urihttps://hdl.handle.net/11441/135720
dc.description.abstractBackground: Zebrafish is a clinically-relevant model of heart regeneration. Unlike mammals, it has a remarkable heart repair capacity after injury, and promises novel translational applications. Amputation and cryoinjury models are key research tools for understanding injury response and regeneration in vivo. An understanding of the transcriptional responses following injury is needed to identify key players of heart tissue repair, as well as potential targets for boosting this property in humans. Results: We investigated amputation and cryoinjury in vivo models of heart damage in the zebrafish through unbiased, integrative analyses of independent molecular datasets. To detect genes with potential biological roles, we derived computational prediction models with microarray data from heart amputation experiments. We focused on a top-ranked set of genes highly activated in the early post-injury stage, whose activity was further verified in independent microarray datasets. Next, we performed independent validations of expression responses with qPCR in a cryoinjury model. Across in vivo models, the top candidates showed highly concordant responses at 1 and 3 days post-injury, which highlights the predictive power of our analysis strategies and the possible biological relevance of these genes. Top candidates are significantly involved in cell fate specification and differentiation, and include heart failure markers such as periostin, as well as potential new targets for heart regeneration. For example, ptgis and ca2 were overexpressed, while usp2a, a regulator of the p53 pathway, was down-regulated in our in vivo models. Interestingly, a high activity of ptgis and ca2 has been previously observed in failing hearts from rats and humans. Conclusions: We identified genes with potential critical roles in the response to cardiac damage in the zebrafish. Their transcriptional activities are reproducible in different in vivo models of cardiac injuryes
dc.description.sponsorshipMinisterio de Economía y Competitividad BFU2011-25297es
dc.description.sponsorshipComunidad Autónoma de Madrid P2010/BMD-2321es
dc.formatapplication/pdfes
dc.format.extent15es
dc.language.isoenges
dc.publisherBMCes
dc.relation.ispartofBMC Genomics, 15 (art. nº 852)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMyocardial infarctiones
dc.subjectZebrafishes
dc.subjectVentricular amputationes
dc.subjectVentricular cryoinjuryes
dc.subjectHeart regenerationes
dc.subjectTranscriptional responseses
dc.subjectTranscriptional association networkses
dc.titleTranscriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo modelses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDBFU2011-25297es
dc.relation.projectIDP2010/BMD-2321es
dc.relation.publisherversionhttps://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-15-852es
dc.identifier.doi10.1186/1471-2164-15-852es
dc.contributor.groupUniversidad de Sevilla. TIC134: Sistemas Informáticoses
dc.journaltitleBMC Genomicses
dc.publication.volumen15es
dc.publication.issueart. nº 852es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). Españaes
dc.contributor.funderComunidad Autónoma de Madrides

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