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Gene expression network analysis provides potential targets against SARS-CoV-2.
Hernández Cordero, Ana I; Li, Xuan; Yang, Chen Xi; Milne, Stephen; Bossé, Yohan; Joubert, Philippe; Timens, Wim; van den Berge, Maarten; Nickle, David; Hao, Ke; Sin, Don D.
Afiliação
  • Hernández Cordero AI; Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada. Ana.Hernandez@hli.ubc.ca.
  • Li X; Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
  • Yang CX; Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
  • Milne S; Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC, Canada.
  • Bossé Y; Division of Respiratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Joubert P; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
  • Timens W; Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec City, QC, Canada.
  • van den Berge M; Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec City, QC, Canada.
  • Nickle D; Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Hao K; Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • Sin DD; Merck Research Laboratories, Genetics and Pharmacogenomics, Boston, MA, USA.
Sci Rep ; 10(1): 21863, 2020 12 14.
Article em En | MEDLINE | ID: mdl-33318519
ABSTRACT
Cell entry of SARS-CoV-2, the novel coronavirus causing COVID-19, is facilitated by host cell angiotensin-converting enzyme 2 (ACE2) and transmembrane serine protease 2 (TMPRSS2). We aimed to identify and characterize genes that are co-expressed with ACE2 and TMPRSS2, and to further explore their biological functions and potential as druggable targets. Using the gene expression profiles of 1,038 lung tissue samples, we performed a weighted gene correlation network analysis (WGCNA) to identify modules of co-expressed genes. We explored the biology of co-expressed genes using bioinformatics databases, and identified known drug-gene interactions. ACE2 was in a module of 681 co-expressed genes; 10 genes with moderate-high correlation with ACE2 (r > 0.3, FDR < 0.05) had known interactions with existing drug compounds. TMPRSS2 was in a module of 1,086 co-expressed genes; 31 of these genes were enriched in the gene ontology biologic process 'receptor-mediated endocytosis', and 52 TMPRSS2-correlated genes had known interactions with drug compounds. Dozens of genes are co-expressed with ACE2 and TMPRSS2, many of which have plausible links to COVID-19 pathophysiology. Many of the co-expressed genes are potentially targetable with existing drugs, which may accelerate the development of COVID-19 therapeutics.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Receptores de Coronavírus / COVID-19 / Pulmão Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Receptores de Coronavírus / COVID-19 / Pulmão Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Ano de publicação: 2020 Tipo de documento: Article