A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus
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Título: | A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus |
Autor/a: | Barral Arca, Ruth Gómez Carballa, Alberto Cebey López, Miriam Bello Paderne, Xabier Martinón Torres, Federico Salas Ellacuriaga, Antonio |
Centro/Departamento: | Universidade de Santiago de Compostela. Departamento de Ciencias Forenses, Anatomía Patolóxica, Xinecoloxía e Obstetricia, e Pediatría |
Palabras chave: | Meta-analysis | RNA | Transcriptomic | RSV | Respiratory syncytial virus | Array | |
Data: | 2020 |
Editor: | MDPI |
Cita bibliográfica: | Barral-Arca, R.; Gómez-Carballa, A.; Cebey-López, M.; Bello, X.; Martinón-Torres, F.; Salas, A. A Meta-Analysis of Multiple Whole Blood Gene Expression Data Unveils a Diagnostic Host-Response Transcript Signature for Respiratory Syncytial Virus. Int. J. Mol. Sci. 2020, 21, 1831 |
Resumo: | Respiratory syncytial virus (RSV) is one of the major causes of acute lower respiratory tract infection worldwide. The absence of a commercial vaccine and the limited success of current therapeutic strategies against RSV make further research necessary. We used a multi-cohort analysis approach to investigate host transcriptomic biomarkers and shed further light on the molecular mechanism underlying RSV-host interactions. We meta-analyzed seven transcriptome microarray studies from the public Gene Expression Omnibus (GEO) repository containing a total of 922 samples, including RSV, healthy controls, coronaviruses, enteroviruses, influenzas, rhinoviruses, and coinfections, from both adult and pediatric patients. We identified > 1500 genes differentially expressed when comparing the transcriptomes of RSV-infected patients against healthy controls. Functional enrichment analysis showed several pathways significantly altered, including immunologic response mediated by RSV infection, pattern recognition receptors, cell cycle, and olfactory signaling. In addition, we identified a minimal 17-transcript host signature specific for RSV infection by comparing transcriptomic profiles against other respiratory viruses. These multi-genic signatures might help to investigate future drug targets against RSV infection |
Versión do editor: | https://doi.org/10.3390/ijms21051831 |
URI: | http://hdl.handle.net/10347/23837 |
DOI: | 10.3390/ijms21051831 |
E-ISSN: | 1422-0067 |
Dereitos: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) Atribución 4.0 Internacional |
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