PT  - JOURNAL ARTICLE
AU  - Hanming Gu
AU  - Gongsheng Yuan
TI  - Identification of potential key genes for SARS-CoV-2 infected human bronchial organoids based on bioinformatics analysis
AID  - 10.1101/2020.08.18.256735
DP  - 2020 Jan 01
TA  - bioRxiv
PG  - 2020.08.18.256735
4099  - http://biorxiv.org/content/early/2020/08/19/2020.08.18.256735.short
4100  - http://biorxiv.org/content/early/2020/08/19/2020.08.18.256735.full
AB  - There is an urgent need to understand the pathogenesis of the severe acute respiratory syndrome coronavirus clade 2 (SARS-CoV-2) that leads to COVID-19 and respiratory failure. Our study is to discover differentially expressed genes (DEGs) and biological signaling pathways by using a bioinformatics approach to elucidate their potential pathogenesis. The gene expression profiles of the GSE150819 datasets were originally produced using an Illumina NextSeq 500 (Homo sapiens). KEGG (Kyoto Encyclopedia of Genes and Genomes) and GO (Gene Ontology) were utilized to identify functional categories and significant pathways. KEGG and GO results suggested that the Cytokine-cytokine receptor interaction, P53 signaling pathway, and Apoptosis are the main signaling pathways in SARS-CoV-2 infected human bronchial organoids (hBOs). Furthermore, NFKBIA, C3, and CCL20 may be key genes in SARS-CoV-2 infected hBOs. Therefore, our study provides further insights into the therapy of COVID-19.Competing Interest StatementThe authors have declared no competing interest.