Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, we collected open access data to analyze the mechanisms associated with SARS-CoV-2 infection. Gene set enrichment analysis (GSEA) revealed that apoptosis-related pathways were enriched in the cells after SARS-CoV-2 infection, and the results of differential expression analysis showed that biological functions related to endoplasmic reticulum stress (ERS) and lipid metabolism were disordered. TMBIM6 was identified as a potential target for SARS-CoV-2 in host cells through weighted gene coexpression network analysis (WGCNA) of the time course of expression of host and viral proteins. The expression and related functions of TMBIM6 were subsequently analyzed to illuminate how viral proteins interfere with the physiological function of host cells. The potential function of viral proteins was further analyzed by GEne Network Inference with Ensemble of trees (GENIE3). This study identified TMBIM6 as a target protein associated with the pathogenesis of SARS-CoV-2, which might provide a novel therapeutic approach for COVID-19 in the future.
【저자키워드】 COVID-19, SARS-CoV-2, Apoptosis, bioinformatics, TMBIM6, multiomics data, 【초록키워드】 coronavirus disease, Biological functions, Apoptosis, Coronavirus disease 2019, coronavirus, Pathogenesis, Stress, SARS-COV-2 infection, Viral proteins, severe acute respiratory syndrome Coronavirus, metabolism, Endoplasmic reticulum, biological function, Viral, TMBIM6, pathway, network, respiratory, expression, enrichment analysis, mechanism, WGCNA, function, Therapeutic approach, Analysis, lipid metabolism, physiological, the cells, host cells, host cell, Open Access, acute respiratory syndrome, Inference, Viral protein, gene set enrichment analysis, differential expression, acute respiratory syndrome coronavirus, acute respiratory syndrome coronavirus 2, Differential expression analysis, target protein, GSEA, trees, weighted gene coexpression network analysis, pathogenesis of SARS-CoV-2, Host, Cell, Course, analyzed, collected, caused, interfere, coexpression network, 【제목키워드】 virus, Data analysis, host cell,