动物造模,冠状病毒感染动物模型 z-bio 2022-08-05 326

　　Objective To construct a comparative transcriptomic database of animal models of coronavirus infection, compare the similarities and differences between human and animal models of coronavirus infection from the level of gene expression, and provide data support for animal experiments and clinical research.

　　Methods The transcriptome data of animal models and humans infected with coronaviruses (mainly SARS-CoV, SARS-CoV-2, MERS-CoV) were downloaded from GEO, ArrayExpress and other databases, and the sequencing data were quality controlled, standardized, and batches were removed. The secondary effect was analyzed, and the gene expression changes caused by different virus strains infecting different species, cells or tissues were analyzed, a database based on the Django web application framework was constructed, a search interface was established, and data analysis and visual display functions were provided.

　　RESULTS: This study systematically organized 43 sets of sequencing data sets and established a comparative transcriptomic database of animal models of coronavirus infection. The database contains 3 coronaviruses, 4 species, 14 tissues/cells, and 2373 samples. The database shows the differential expression of different genes in different species, different virus strains, different infection times, different titers, and different cells or tissues. At the same time, embedding bioinformatics analysis tools can mine gene expression differences, enrich the molecular functions and signaling pathways of differential genes, and predict potential effects on cells.

　　Conclusion In this paper, a comparative transcriptomic database of coronavirus infection animal models was established. It can provide data resources and analysis tools for the study of gene expression levels in animal models of coronavirus infection.