Identification of key genes and pathways in minimal change disease by bioinformatics analysis
10.3760/cma.j.cn441217-20200420-00021
- VernacularTitle:生物信息学技术筛选微小病变肾病差异表达基因及其作用通路分析
- Author:
Yaping FANG
;
Yan MI
;
Caili WANG
- From:
Chinese Journal of Nephrology
2021;37(2):130-136
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To identify the differentially expressed genes and pathways of minimal change disease (MCD) by bioinformatics analysis, and to explore the pathogenesis of MCD.Methods:The gene expression omnibus (GEO) under the National Center for Biotechnology Information (NCBI) platform of the United States was used, and the data chips GSE104948 and GSE104954 containing MCD information were selected. The data set contained the gene expression array data of 19 cases of MCD renal biopsy tissue and 36 cases of normal renal tissue. The online tool GEO2R was used to analyze data and screen differentially expressed genes, and DAVID 6.8 database was used to perform GO and KEGG functional enrichment analysis of differentially expressed genes and network analysis of genes involved in metabolic pathways. The String 11.0 database and Cytoscape 3.7.2 software were used to analyze the relationship between MCD differentially expressed genes and perform visual analysis. At the same time, the CytoHubba plug-in was used to analyze the degree of association of protein interaction networks and screen key expressed genes.Results:A total of 302 highly expressed differentially expressed genes were identified by online tool GEO2R. GO analysis showed that the products of these differential genes were mostly located in the extracellular matrix, exosomes, pernucleus and other regions, exerting cell adhesion molecule binding, deoxycytidine deaminase activity, protein homodimerization activity, 2'-5'-oligoadenylic acid synthase activity and other functions, as well as participating in the formation of extracellular matrix, cell lysis, cell apoptosis, inflammatory response, immune response and other biological processes. KEGG analysis showed that differentially expressed genes were enriched in local adhesion, NOD-like receptor and other signal pathways. Combining the results of GO analysis and Cyto Hubba analysis, the PYCARD gene was screened out as the key gene that induced the inflammatory response in MCD kidney. Conclusions:The inflammatory response may be involved in the occurrence and development of MCD, and the PYCARD gene may be a key gene in the induction of inflammatory response in MCD.
