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Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections

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Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections

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dc.contributor.author Carrera Montesinos, Javier es_ES
dc.contributor.author Elena Fito, Santiago Fco es_ES
dc.date.accessioned 2017-05-18T11:28:59Z
dc.date.available 2017-05-18T11:28:59Z
dc.date.issued 2012-12-19
dc.identifier.issn 2045-2322
dc.identifier.uri http://hdl.handle.net/10251/81387
dc.description.abstract [EN] The molecular mechanisms underlying viral pathogenesis are yet poorly understood owed to the large number of factors involved and the complexity of their interactions. Could we identify a minimal set of host transcription factors (TF) whose misregulation would result in the transcriptional profile characteristic of infected cells in absence of the virus? How many of such sets exist? Are all orthogonal or share critical TFs involved in specific biological functions? We have developed a computational methodology that uses a quantitative model of the transcriptional regulatory network (TRN) of Arabidopsis thaliana to explore the landscape of all possible re-engineered TRNs whose transcriptomic profiles mimic those observed in infected plants. We found core sets containing between six and 34 TFs, depending on the virus, whose in silico knockout or overexpression in the TRN resulted in transcriptional profiles that minimally deviate from those observed in infected plants. es_ES
dc.description.sponsorship We thank J.A. Daros, M. A. Fares and G. Rodrigo for fruitful comments and suggestions and O. Voinnet and C. Llave for sharing with us the TCV and TRV transcriptomic data, respectively. This research was supported by grant BFU2009-06993 by the Spanish Secretaria de Estado de Investigacion, Desarrollo e Innovacion to S.F.E. en_EN
dc.language Inglés es_ES
dc.publisher Nature Publishing Group es_ES
dc.relation.ispartof Scientific Reports es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject GENE-EXPRESSION PROFILE es_ES
dc.subject ARABIDOPSIS-THALIANA es_ES
dc.subject VIRUS-INFECTION es_ES
dc.subject MOSAIC-VIRUS es_ES
dc.subject GEMINIVIRUS INFECTION es_ES
dc.subject PATHOGEN INTERACTIONS es_ES
dc.subject ADENOSINE KINASE es_ES
dc.subject SYSTEMS BIOLOGY es_ES
dc.subject L2 PROTEINS es_ES
dc.subject NETWORKS es_ES
dc.title Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1038/srep01006
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//BFU2009-06993/ES/Biologia Evolutiva Y De Sistemas De La Emergencia De Fitovirus De Rna/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation Carrera Montesinos, J.; Elena Fito, SF. (2012). Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infections. Scientific Reports. 2:1-10. https://doi.org/10.1038/srep01006 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1038/srep01006 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2 es_ES
dc.relation.senia 232220 es_ES
dc.identifier.pmid 23256040 en_EN
dc.identifier.pmcid PMC3525979
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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