dc.creator | Rodius, Sophie | es |
dc.creator | Nazarov, Petr V. | es |
dc.creator | Nepomuceno Chamorro, Isabel de los Ángeles | es |
dc.creator | Jeanty, Céline | es |
dc.creator | González Rosa, Juan Manuel | es |
dc.creator | Ibberson, Mark | es |
dc.creator | Benites da Costa, Ricardo M. | es |
dc.creator | Xenarios, Ioannis | es |
dc.creator | Mercader, Nadia | es |
dc.creator | Azuaje, Francisco | es |
dc.date.accessioned | 2022-07-22T10:09:08Z | |
dc.date.available | 2022-07-22T10:09:08Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Rodius, 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.issn | 1471-2164 | es |
dc.identifier.uri | https://hdl.handle.net/11441/135720 | |
dc.description.abstract | Background: 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 injury | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad BFU2011-25297 | es |
dc.description.sponsorship | Comunidad Autónoma de Madrid P2010/BMD-2321 | es |
dc.format | application/pdf | es |
dc.format.extent | 15 | es |
dc.language.iso | eng | es |
dc.publisher | BMC | es |
dc.relation.ispartof | BMC Genomics, 15 (art. nº 852) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Myocardial infarction | es |
dc.subject | Zebrafish | es |
dc.subject | Ventricular amputation | es |
dc.subject | Ventricular cryoinjury | es |
dc.subject | Heart regeneration | es |
dc.subject | Transcriptional responses | es |
dc.subject | Transcriptional association networks | es |
dc.title | Transcriptional response to cardiac injury in the zebrafish: systematic identification of genes with highly concordant activity across in vivo models | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | BFU2011-25297 | es |
dc.relation.projectID | P2010/BMD-2321 | es |
dc.relation.publisherversion | https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-15-852 | es |
dc.identifier.doi | 10.1186/1471-2164-15-852 | es |
dc.contributor.group | Universidad de Sevilla. TIC134: Sistemas Informáticos | es |
dc.journaltitle | BMC Genomics | es |
dc.publication.volumen | 15 | es |
dc.publication.issue | art. nº 852 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Comunidad Autónoma de Madrid | es |