Your browser doesn't support javascript.
Comparative transcriptome analysis reveals key epigenetic targets in SARS-CoV-2 infection.
Salgado-Albarrán, Marisol; Navarro-Delgado, Erick I; Del Moral-Morales, Aylin; Alcaraz, Nicolas; Baumbach, Jan; González-Barrios, Rodrigo; Soto-Reyes, Ernesto.
  • Salgado-Albarrán M; Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, Mexico.
  • Navarro-Delgado EI; Chair of Experimental Bioinformatics, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.
  • Del Moral-Morales A; Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Mexico City, Mexico.
  • Alcaraz N; Departamento de Ciencias Naturales, Universidad Autónoma Metropolitana-Cuajimalpa (UAM-C), Mexico City, Mexico.
  • Baumbach J; The Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
  • González-Barrios R; Chair of Computational Systems Biology, University of Hamburg, Hamburg, Germany.
  • Soto-Reyes E; Computational BioMedicine Lab, Institute of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark.
NPJ Syst Biol Appl ; 7(1): 21, 2021 05 24.
Article in English | MEDLINE | ID: covidwho-1241950
ABSTRACT
COVID-19 is an infection caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome coronavirus 2), which has caused a global outbreak. Current research efforts are focused on the understanding of the molecular mechanisms involved in SARS-CoV-2 infection in order to propose drug-based therapeutic options. Transcriptional changes due to epigenetic regulation are key host cell responses to viral infection and have been studied in SARS-CoV and MERS-CoV; however, such changes are not fully described for SARS-CoV-2. In this study, we analyzed multiple transcriptomes obtained from cell lines infected with MERS-CoV, SARS-CoV, and SARS-CoV-2, and from COVID-19 patient-derived samples. Using integrative analyses of gene co-expression networks and de-novo pathway enrichment, we characterize different gene modules and protein pathways enriched with Transcription Factors or Epifactors relevant for SARS-CoV-2 infection. We identified EP300, MOV10, RELA, and TRIM25 as top candidates, and more than 60 additional proteins involved in the epigenetic response during viral infection that has therapeutic potential. Our results show that targeting the epigenetic machinery could be a feasible alternative to treat COVID-19.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Epigenesis, Genetic / Transcriptome / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: NPJ Syst Biol Appl Year: 2021 Document Type: Article Affiliation country: S41540-021-00181-x

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Epigenesis, Genetic / Transcriptome / SARS-CoV-2 / COVID-19 Limits: Humans Language: English Journal: NPJ Syst Biol Appl Year: 2021 Document Type: Article Affiliation country: S41540-021-00181-x