Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients

Wenjuan Dai; Dawei Cao; Wei Zhang; Yangyang Wei; Daqing Ding; Bei Li; Yan Gao; Lixuan Zhao; Yi Jiang; Xiaomei Kong

doi:10.12659/MSM.928861

14 December 2020 : Database Analysis

Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients

Wenjuan Dai^1AC, Dawei Cao^1BC, Wei Zhang^1BF, Yangyang Wei^1BD, Daqing Ding^2D, Bei Li^2C, Yan Gao^2D, Lixuan Zhao^2C, Yi Jiang^1B, Xiaomei Kong^1AEG*

DOI: 10.12659/MSM.928861

Med Sci Monit 2020; 26:e928861

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Figure 4 Functional enrichment analysis of DEGs in the intersection of RVA and RVC. (A) GO analysis revealed that DEGs were significantly enriched in biological processes (BP) and molecular function (MF) terms; (B) Significantly enriched KEGG terms obtained from KEGG analysis. GO – gene ontology; KEGG – Kyoto Encyclopedia of Genes and Genomes.

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Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Cytokine Pathways Involved in COVID-19 After Rhinovirus Infection in Asthma Patients

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