Identification of key genes and pathways in the hPSC-derived lungs infected by the SARS-CoV-2 (preprint)

Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has led to numerous infections and deaths in the world. Our research is to explore the differentially expressed genes (DEGs) and signaling pathways in hPSC-derived lungs by using a bioinformatics method to clarify their potential pathogenesis. The gene expression profile of GSE155241 dataset was originally created by using an Illumina NovaSeq 6000 (Homo sapiens) platform. Functional categories and significant pathways were identified by the KEGG and GO analysis. The results suggested that brain disorders and mitochondrial dysfunctions are the main signaling pathways affected by the SARS-CoV-2 infection. Furthermore, key genes e.g. CDC20, NCBP1 and inhibitors e.g. MEK1-2-inhibitor, tivozanib may paly critical roles in COVID-19. Therefore, our study provides insights into the treatment of COVID-19 and related disorders.

Identification of potential biomarkers and inhibitors in SARS-CoV-2 infected macaques (preprint)

The COVID-19 pandemic caused by the infection with SARS-CoV-2 has overwhelmed many health systems globally. Our study is to identify differentially expressed genes (DEGs) and the associated biological pathways of COVID-19 to elucidate the potential pathogenesis and metabolism. The gene expression profile of the GSE155363 dataset was originally produced using the high-throughput Illumina HiSeq 4000 (Macaca mulatta). Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed to discover their functional categories and biochemical pathways. The results suggested that four biological pathways: Fatty acid elongation, Biosynthesis of unsaturated fatty acids, Fatty acid metabolism, and Ribosome were mostly involved in the macaques with COVID-19. Thus, our study provides novel insights into the underlying pathogenesis of COVID-19.

Identification of potential biomarkers and inhibitors for SARS-CoV-2 infection (preprint)

The COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has overwhelmed many health systems globally. Here, we aim to identify biological markers and associated biological processes of COVID-19 using a bioinformatics approach to elucidate their potential pathogenesis. The gene expression profile of the GSE152418 dataset was originally produced by using the high-throughput Illumina NovaSeq 6000. Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) and Gene Ontology (GO) enrichment analyses were applied to identify functional categories and biochemical pathways. KEGG and GO results suggested that biological pathways such as Cancer pathways and Insulin pathways were mostly affected in the development of COVID-19. Moreover, we identified several genes including EP300, CREBBP, and POLR2A were involved in the virus activities in COVID-19 patients. We further predicted that some inhibitors may have the potential to block the SARS-CoV-2 infection based on the L1000FWD analysis. Therefore, our study provides further insights into the underlying pathogenesis of COVID-19.

Identification of potential key genes for SARS-CoV-2 infected human bronchial organoids based on bioinformatics analysis (preprint)

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.

Identification of key genes in SARS-CoV-2 patients on bioinformatics analysis (preprint)

The COVID-19 pandemic has infected millions of people and overwhelmed many health systems globally. Our study is to identify differentially expressed genes (DEGs) and associated biological processes of COVID-19 using a bioinformatics approach to elucidate their potential pathogenesis. The gene expression profiles of the GSE152075 datasets were originally produced by using the high-throughput Illumina NextSeq 500. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed to identify functional categories and biochemical pathways. GO and KEGG results suggested that several biological pathways such as Fatty acid metabolism and Cilium morphogenesis are mostly involved in the development of COVID-19. Moreover, several genes are critical for virus invasion and adhesion including FLOC, DYNLL1, FBXL3, and FBXW11 and show significant differences in COVID-19 patients. Thus, our study provides further insights into the underlying pathogenesis of COVID-19.