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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.
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
profles 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 identifed 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.
Item Metadata
| Title |
Gene expression network analysis provides potential targets against SARS‑CoV‑2
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| Creator | |
| Contributor | |
| Publisher |
Nature Research
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| Date Issued |
2020
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| Description |
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
profles 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 identifed 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.
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| Genre | |
| Type | |
| Language |
eng
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| Date Available |
2021-07-07
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution 4.0 International
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| DOI |
10.14288/1.0400058
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| URI | |
| Affiliation | |
| Citation |
Hernández Cordero, A. I., Li, X., Yang, C. X., Milne, S., Bossé, Y., Joubert, P., . . . Sin, D. D. (2020). Gene expression network analysis provides potential targets against SARS-CoV-2. Scientific Reports, 10(1), 21863-21863.
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| Publisher DOI |
10.1038/s41598-020-78818-w
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| Peer Review Status |
Reviewed
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| Scholarly Level |
Researcher; Postdoctoral; Graduate
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| Copyright Holder |
Authors
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| Rights URI | |
| Aggregated Source Repository |
DSpace
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Rights
Attribution 4.0 International