Identification of Hub genes associated with infection of three lung cell lines by SARS‐CoV‐2 with integrated bioinformatics analysis

The genetic diversity and frequent recombination of coronavirus genomes render the variation of coronaviruses highly unpredictable. [...]exploring biomarkers of SARS‐CoV‐2 with a combination of integrated bioinformatics methods with expression profiling techniques is hopefully helpful for improving the diagnosis, treatment and prognosis of SARS‐CoV‐2 in the future. METHODS AND MATERIALS Data inclusion and DEG screening The gene expression profile of GSE147507 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE147507) in this study was obtained from National Center for Biotechnology Information Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/), on the basis of GPL18573 platform of Illumina NextSeq 500 (Homo sapiens) and GPL28369 platform of Illumina NextSeq 500 (Mustela putorius furo). [...]we choose P < .05 as the standard to screen the hub genes. In the NHBE group, (P) Enriched functional BP of the target genes; (Q) Enriched CC of the target genes; (R) Enriched MF of the target genes; (S) Enriched KEGG pathways of the target genes GO function enrichment analysis of the DEGs Composed of the biological pathway (BP), the CC, and the MF, GO enrichment analysis for the DEGs in three groups of Calu‐3, A549 and NHBE were shown in Table S2 and Figure 1H‐J,L‐N,P‐R. KEGG pathway analysis KEGG enrichment analysis was conducted on all DEGs and corresponding P‐value and P‐adjust values of each pathway were obtained.