RT Journal Article
T1 RNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humans
A1 Barral Arca, Ruth
A1 Gómez Carballa, Alberto
A1 Cebey López, Miriam
A1 Currás Tuala, María José
A1 Pischedda, Sara
A1 Viz Lasheras, Sandra
A1 Bello Paderne, Xabier
A1 Martinón Torres, Federico
A1 Salas Ellacuriaga, Antonio
K1 Biomarkers
K1 RNA-seq
K1 lncRNA
K1 Virus
K1 Machine learning
AB There 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
PB MDPI
YR 2020
FD 2020
LK http://hdl.handle.net/10347/23849
UL http://hdl.handle.net/10347/23849
LA eng
NO Barral-Arca, R.; Gómez-Carballa, A.; Cebey-López, M.; Currás-Tuala, M.J.; Pischedda, S.; Viz-Lasheras, S.; Bello, X.; Martinón-Torres, F.; Salas, A. RNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humans. Int. J. Mol. Sci. 2020, 21, 2748
NO This study received support from the Instituto de Salud Carlos III: project GePEM (Instituto de Salud Carlos III(ISCIII)/PI16/01478/Cofinanciado FEDER), DIAVIR (Instituto de Salud Carlos III(ISCIII)/DTS19/00049/Cofinanciado FEDER; Proyecto de Desarrollo Tecnológico en Salud) and Resvi-Omics (Instituto de Salud Carlos III(ISCIII)/PI19/01039/Cofinanciado FEDER) and project BI-BACVIR (PRIS-3; Agencia de Conocimiento en Salud (ACIS)—Servicio Gallego de Salud (SERGAS)—Xunta de Galicia; Spain) given to A.S.; and project ReSVinext (Instituto de Salud Carlos III(ISCIII)/PI16/01569/Cofinanciado FEDER), and Enterogen (Instituto de Salud Carlos III(ISCIII)/ PI19/01090/Cofinanciado FEDER) given to F.M.-T
DS Minerva
RD 24 abr 2026