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dc.contributor.authorBarral Arca, Ruth
dc.contributor.authorGómez Carballa, Alberto
dc.contributor.authorCebey López, Miriam
dc.contributor.authorCurrás Tuala, María José
dc.contributor.authorPischedda ., Sara
dc.contributor.authorViz Lasheras, Sandra
dc.contributor.authorBello Paderne, Xabier
dc.contributor.authorMartinón Torres, Federico 
dc.contributor.authorSalas Ellacuriaga, Antonio
dc.date.accessioned2022-04-29T10:25:49Z
dc.date.available2022-04-29T10:25:49Z
dc.date.issued2020
dc.identifier.issn1661-6596
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pubmed/32326627es
dc.identifier.urihttp://hdl.handle.net/20.500.11940/16596
dc.description.abstractThere is a growing interest in unraveling gene expression mechanisms leading to viral host invasion and infection progression. Current findings reveal that long non-coding RNAs (lncRNAs) are implicated in the regulation of the immune system by influencing gene expression through a wide range of mechanisms. By mining whole-transcriptome shotgun sequencing (RNA-seq) data using machine learning approaches, we detected two lncRNAs (ENSG00000254680 and ENSG00000273149) that are downregulated in a wide range of viral infections and different cell types, including blood monocluclear cells, umbilical vein endothelial cells, and dermal fibroblasts. The efficiency of these two lncRNAs was positively validated in different viral phenotypic scenarios. These two lncRNAs showed a strong downregulation in virus-infected patients when compared to healthy control transcriptomes, indicating that these biomarkers are promising targets for infection diagnosis. To the best of our knowledge, this is the very first study using host lncRNAs biomarkers for the diagnosis of human viral infections.en
dc.rightsAtribución 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshDown-Regulation*
dc.subject.meshAdult*
dc.subject.meshHumans*
dc.subject.meshFibroblasts*
dc.subject.meshData Mining*
dc.subject.meshRotavirus Infections*
dc.subject.meshHuman Umbilical Vein Endothelial Cells*
dc.subject.meshEscherichia coli Infections*
dc.subject.meshRNA*
dc.subject.meshMonocytes*
dc.subject.meshEndothelial Cells*
dc.titleRNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humansen
dc.typeJournal Articlees
dc.authorsophosBarral-Arca, R.;Gomez-Carballa, A.;Cebey-Lopez, M.;Curras-Tuala, M. J.;Pischedda, S.;Viz-Lasheras, S.;Bello, X.;Martinon-Torres, F.;Salas, A.
dc.identifier.doi10.3390/ijms21082748
dc.identifier.pmid32326627
dc.identifier.sophos39516
dc.issue.number8es
dc.journal.titleINTERNATIONAL JOURNAL OF MOLECULAR SCIENCESes
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Pediatríaes
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)es
dc.rights.accessRightsopenAccess
dc.subject.decsARN*
dc.subject.decsinfecciones por Escherichia coli*
dc.subject.decsfibroblastos*
dc.subject.decsmonocitos*
dc.subject.decshumanos*
dc.subject.decsregulación negativa*
dc.subject.decsminería de datos*
dc.subject.decsadulto*
dc.subject.decscélulas endoteliales de la vena umbilical humana*
dc.subject.decsinfecciones por Rotavirus*
dc.subject.decscélulas endoteliales*
dc.subject.keywordCHUSes
dc.subject.keywordIDISes
dc.typefidesArtículo Originales
dc.typesophosArtículo Originales
dc.volume.number21es


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Atribución 4.0 Internacional
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