Gene expression network analysis provides potential targets against SARS-CoV-2

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...

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Autores principales:	Ana I. Hernández Cordero, Xuan Li, Chen Xi Yang, Stephen Milne, Yohan Bossé, Philippe Joubert, Wim Timens, Maarten van den Berge, David Nickle, Ke Hao, Don D. Sin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/04a4ce5f742b4fb4a05cf20cbace41a1
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spelling	oai:doaj.org-article:04a4ce5f742b4fb4a05cf20cbace41a12021-12-02T12:03:15ZGene expression network analysis provides potential targets against SARS-CoV-210.1038/s41598-020-78818-w2045-2322https://doaj.org/article/04a4ce5f742b4fb4a05cf20cbace41a12020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78818-whttps://doaj.org/toc/2045-2322Abstract 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.Ana I. Hernández CorderoXuan LiChen Xi YangStephen MilneYohan BosséPhilippe JoubertWim TimensMaarten van den BergeDavid NickleKe HaoDon D. SinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ana I. Hernández Cordero Xuan Li Chen Xi Yang Stephen Milne Yohan Bossé Philippe Joubert Wim Timens Maarten van den Berge David Nickle Ke Hao Don D. Sin Gene expression network analysis provides potential targets against SARS-CoV-2
description	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.
format	article
author	Ana I. Hernández Cordero Xuan Li Chen Xi Yang Stephen Milne Yohan Bossé Philippe Joubert Wim Timens Maarten van den Berge David Nickle Ke Hao Don D. Sin
author_facet	Ana I. Hernández Cordero Xuan Li Chen Xi Yang Stephen Milne Yohan Bossé Philippe Joubert Wim Timens Maarten van den Berge David Nickle Ke Hao Don D. Sin
author_sort	Ana I. Hernández Cordero
title	Gene expression network analysis provides potential targets against SARS-CoV-2
title_short	Gene expression network analysis provides potential targets against SARS-CoV-2
title_full	Gene expression network analysis provides potential targets against SARS-CoV-2
title_fullStr	Gene expression network analysis provides potential targets against SARS-CoV-2
title_full_unstemmed	Gene expression network analysis provides potential targets against SARS-CoV-2
title_sort	gene expression network analysis provides potential targets against sars-cov-2
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/04a4ce5f742b4fb4a05cf20cbace41a1
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Gene expression network analysis provides potential targets against SARS-CoV-2

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