Screening key target genes for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on bioinformatics and gene network
Journal Title: Precision Medicine Research - Year 2020, Vol 2, Issue 2
Abstract
Background: To provide a reference for the clinical development of drugs to suppress severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods: Retrieving genes related to SARS-CoV-2 with Genecards database and then importing the obtained gene data into the database of Database for Annotation, Visualization and Integrated Discovery (DAVID) (Version 6.8) to collect relevant information on pathways and genes. Genes enriched in the first 20 most significant pathways and genes with gene occurrence frequency ≥ 6 were respectively imported into the STRING database to construct protein-protein interaction (PPI) network diagrams, and the two network diagrams were compared. Results: In the two network graphs, RELA, MAPK1, MAPK3, PIK3CA, PIK3R1, MAPK8, JAK1, STAT1, TNF, IL6, MAPK14, and IL1B ranked higher, and the occurrence frequency of the first 20 pathways was ≥ 10. Conclusion: The pathogenesis of SARS-CoV-2 is associated with multiple pathways such as influenza A, TNF signaling pathway, chemokine signaling pathway, toll-like receptor signaling pathway, T cell receptor signaling pathway et al. RELA, MAPK1, MAPK3, PIK3CA, PIK3R1, MAPK8, JAK1, STAT1, TNF, IL6, MAPK14 and IL1B are closely related to SARS-CoV-2 and need further study. Gene interaction network and pathway analysis of diseaseassociated genes will help us to screen the key target genes of SARS-CoV-2 and provide a reference for the clinical development of effective drugs.
Authors and Affiliations
Zhi-Hua Yang， Hai-Feng Yan, Lin-Wang, Miao-Ru Han
Keywords
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- EP ID EP685210
- DOI 10.12032/PMR201900027
- Views 203
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