Abstract:Abstract: In order to provide new ideas for the study of spinal cord injury (SCI), bioinformatics methods were used to screen key genes and pathways involved in the development of SCI. The gene chip data were downloaded from the GEO database. All samples in the dataset were divided into the SCI group and the normal group. The R language was used to process batch effects from samples of different datasets, and the expression data of the gene chip were quality-controlled and standardized. The quality of the standardized processed data was detected by PCA. The differentially expressed genes were obtained by analyzing the normalized gene expression matrix by Bayesian test in the limma package in the R language. The obtained differential genes were introduced into the DAVID database for GO and KEGG analyses. A protein-protein interaction (PPI) network was constructed using the STRING database, and 10 hub genes were analyzed by cytoHubba plugin in Cytoscape. The expression levels of the hub genes were monitored by boxplots, and the functions of the hub genes were obtained by querying the GeneCards database. In order to supplement the deficiency of differential gene screening, the gene expression matrix was used to perform GSEA analysis. The results showed that genes included TYROBP, ITGB2, PTPRC and FCER1G play an important role in the development of SCI. The changes of extracellular matrix inflammation, glucuronosyltransferase activity and astrocyte migration are closely related to the development mechanism of SCI. The results also indicated that the TNF signaling pathway, NF-κB signaling pathway and p53 signaling pathway play an important role in the development of SCI. The roles of these key genes and pathways in SCI are worthy of a more in-depth discussion.
引用本文:
任恩惠, 张广智, 贺学岗, 高一诚, 杨风光, 杨 亮, 马占军, 解琪琪, 汪 静. 脊髓损伤机制研究的生物信息学分析[J]. 生命科学研究, 2019, 23(6): 452-461.
REN En-hui, ZHANG Guang-zhi, HE Xue-gang, GAO Yi-cheng, YANG Feng-guang, YANG Liang, MA Zhan-jun, XIE Qi-qi, WANG Jing, KANG Xue-wen. Bioinformatics Analysis of Spinal Cord Injury Mechanism Research. Life Science Research, 2019, 23(6): 452-461.