2021-09-16

Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.; Department of Regenerative Medicine, School of Pharmaceutical Sciences, Jilin University, ChangChun, China.

Coronavirus disease 2019 (COVID-19) pandemic is caused by the novel coronavirus that has spread rapidly around the world, leading to high mortality because of multiple organ dysfunction; however, its underlying molecular mechanism is unknown. To determine the molecular mechanism of multiple organ dysfunction, a bioinformatics analysis method based on a time-order gene co-expression network (TO-GCN) was performed. First, gene expression profiles were downloaded from the gene expression omnibus database (GSE161200), and a TO-GCN was constructed using the breadth-first search (BFS) algorithm to infer the pattern of changes in the different organs over time. Second, Gene Ontology enrichment analysis was used to analyze the main biological processes related to COVID-19. The initial gene modules for the immune response of different organs were defined as the research object. The STRING database was used to construct a protein-protein interaction network of immune genes in different organs.