Comparative transcriptome analysis of SARS-CoV, MERS-CoV, and SARS-CoV-2 to identify potential pathways for drug repurposing.
Comput Biol Med
; 128: 104123, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: covidwho-967558
ABSTRACT
The ongoing COVID-19 pandemic caused by the coronavirus, SARS-CoV-2, has already caused in excess of 1.25 million deaths worldwide, and the number is increasing. Knowledge of the host transcriptional response against this virus and how the pathways are activated or suppressed compared to other human coronaviruses (SARS-CoV, MERS-CoV) that caused outbreaks previously can help in the identification of potential drugs for the treatment of COVID-19. Hence, we used time point meta-analysis to investigate available SARS-CoV and MERS-CoV in-vitro transcriptome datasets in order to identify the significant genes and pathways that are dysregulated at each time point. The subsequent over-representation analysis (ORA) revealed that several pathways are significantly dysregulated at each time point after both SARS-CoV and MERS-CoV infection. We also performed gene set enrichment analyses of SARS-CoV and MERS-CoV with that of SARS-CoV-2 at the same time point and cell line, the results of which revealed that common pathways are activated and suppressed in all three coronaviruses. Furthermore, an analysis of an in-vivo transcriptomic dataset of COVID-19 patients showed that similar pathways are enriched to those identified in the earlier analyses. Based on these findings, a drug repurposing analysis was performed to identify potential drug candidates for combating COVID-19.
Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Antivirales
/
Bases de Datos de Ácidos Nucleicos
/
Síndrome Respiratorio Agudo Grave
/
Coronavirus Relacionado al Síndrome Respiratorio Agudo Severo
/
Reposicionamiento de Medicamentos
/
Transcriptoma
/
Coronavirus del Síndrome Respiratorio de Oriente Medio
/
SARS-CoV-2
/
COVID-19
Tipo de estudio:
Estudio experimental
/
Revisiones
Límite:
Humanos
Idioma:
Inglés
Revista:
Comput Biol Med
Año:
2021
Tipo del documento:
Artículo
País de afiliación:
J.compbiomed.2020.104123
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