We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
基因芯片筛选骨性关节炎差异表达基因及实时荧光定量 PCR 验证.
- Authors
陈 财; 曾 平; 刘金富; 钱晓芬; 陆冠宇; 熊 波; 陈莉华; 黄 悦
- Abstract
BACKGROUND: The incidence of osteoarthritis is increasing as the population ages, and there is still no effective treatment. Gene chip technology has been widely used in the diagnosis and treatment of diseases. OBJECTIVE: To identify the key genes in osteoarthritis by using integrative bioinformatics and weighted gene co-expression network analysis (WGCNA) and to investigate its mechanism. METHODS: Four original data sets of synovial tissue chips in osteoarthritis patients were downloaded from Gene Expression Omnibus database, and the immune infiltration was analyzed by CIBERSORT algorithm. Differentially expressed genes were screened by R-language software. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze the selected differentially expressed genes. The text files of these differentially expressed genes were obtained through the online tool STRING (http://string-db.org/) and were imported into the Cytoscape software to edit the visual protein-protein interaction network. R-language software was used to build a bar chart of differentially expressed genes to obtain the top 10 differentially expressed genes in degree values. The four chip data sets were integrated to screen out the genes with the highest correlation of gene co-expression module by WGCNA algorithm, and the intersection genes were screened by Venn analysis method. The synovial tissues of four patients with osteoarthritis and four patients with joint trauma were collected for quantitative real-time PCR verification. RESULTS AND CONCLUSION: (1)A total of 107 differentially expressed genes were screened out, including 46 up-regulated genes and 61 down-regulated genes. (2)The gene ontology enrichment results showed that differentially expressed genes were mainly involved in biological processes such as positive regulation of ossification and cell adhesion. KEGG pathways were mainly enriched in rheumatoid arthritis pathways, nuclear factor-κB signaling pathways, and receptor protein tyrosine kinase B signaling pathways. Immune infiltration results indicated that the contents of M0 macrophages and M2 macrophages were relatively high in the synovial tissue of patients with osteoarthritis. (3)The obtained intersection genes included matrix metalloproteinase 1, tissue inhibitor of metalloproteinase 4, laminin subunit alpha 3, and follistatin 3. The results of quantitative real-time PCR confirmed that there were significant differences in the expression levels of tissue inhibitor of metalloproteinase 4, laminin subunit alpha 3, and follistatin 3 between the synovial tissue samples from patients with osteoarthritis and those with joint trauma. (4)Therefore, tissue inhibitor of metalloproteinase 4, laminin subunit alpha 3, and follistatin 3 may be therapeutic targets for osteoarthritis.
- Subjects
PROTEIN-tyrosine kinases; PROTEIN kinase B; MATRIX metalloproteinases; CELLULAR signal transduction; DRUG target
- Publication
Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu, 2022, Vol 26, Issue 12, p1907
- ISSN
2095-4344
- Publication type
Article
- DOI
10.12307/2022.515