中国组织工程研究 ›› 2023, Vol. 27 ›› Issue (20): 3224-3229.doi: 10.12307/2023.406

• 组织工程相关大数据分析 Big data analysis in tissue engineering • 上一篇    下一篇

类风湿性关节炎滑膜组织差异基因的筛选和分析

王晨宇1,姚佳炜2,徐雄峰3,邱  波4   

  1. 武汉大学人民医院,1骨科,2国际医疗部科,3急诊科,4骨二科,湖北省武汉市    430060
  • 收稿日期:2022-05-06 接受日期:2022-06-17 出版日期:2023-07-18 发布日期:2022-11-21
  • 通讯作者: 邱波,博士,主任医师,武汉大学人民医院骨二科,湖北省武汉市 430060
  • 作者简介:王晨宇,男,1997年生,河南省鹿邑县人,汉族,武汉大学在读硕士,医师。
  • 基金资助:
    湖北省科技支撑计划项目(2015BCA316),项目负责人:邱波

Screening and analysis of differentially expressed genes in synovial tissue of rheumatoid arthritis

Wang Chenyu1, Yao Jiawei2, Xu Xiongfeng3, Qiu Bo4   

  1. 1Department of Orthopedics, 2International Medical Services, 3Department of Emergency, 4Second Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China
  • Received:2022-05-06 Accepted:2022-06-17 Online:2023-07-18 Published:2022-11-21
  • Contact: Qiu Bo, MD, Chief physician, Second Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China
  • About author:Wang Chenyu, Master candidate, Physician, Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei Province, China
  • Supported by:
    Funding: Hubei Province Science and Technology Support Program, No. 2015BCA316 (to QB)

摘要:


文题释义:

类风湿性关节炎:是一种病因未明的慢性、以炎性滑膜炎为主的系统性疾病。其特征是手、足小关节的多关节、对称性、侵袭性关节炎症,经常伴有关节外器官受累及血清类风湿因子阳性,可以导致关节畸形及功能丧失。
Hub基因:又称关键基因,是指在相关疾病或某生物学过程中发挥至关重要作用的基因,其表达可影响其他基因的调控,往往作为相关疾病重要的作用靶点和研究热点。

背景:类风湿性关节炎为自身免疫性疾病,研究其发病机制并进行相应的靶向治疗是目前主要的研究方向。
目的:对类风湿性关节炎滑膜炎基因芯片数据进行生物信息学分析,寻找差异基因,建立和完善类风湿性关节炎的基因调控网络。
方法:利用GEO2R对数据库中筛选出的类风湿性关节炎芯片进行基因差异表达分析,使用R语言及 DAVID 对差异基因进行基因本体论富集分析和DAVID功能富集分析,String数据库进行蛋白网络互作分析,Cystoscape软件获取关键基因,实时荧光定量PCR和Western blot对部分关键靶基因进行实验验证。
结果与结论:①类风湿性关节炎患者的滑膜组织中2 064个基因呈差异性表达,其中上调基因625个,下调基因1 439个;②差异基因主要涉及免疫反应激活细胞表面受体信号通路和抗原受体介导的信号通路等生物反应;③根据蛋白互作网络分析筛选出10个关键靶基因,包括表皮生长因子受体(epidermal growth factor receptor,EGFR)、MYC、RELA、ITGB2、LCK、EPHB2、IRF4、NRAS、FN1、MAPK1;④基于蛋白互作网络的蛋白互作线数量与Cystoscape算法评分得到EGFR、MYC、RELA、ITGB2、LCK五个显著性较高的基因,并对其进行实验验证;⑤实时荧光定量PCR和Western blot实验结果表明,类风湿性关节炎组滑膜组织中 EGFR、MYC、RELA、ITGB2、LCK基因的 mRNA和蛋白表达水平较对照组滑膜组织显著增高,其中EGFR最为显著;⑥提示膝关节类风湿性关节炎滑膜组织有明显不同的基因表达特征,其中EGFR是类风湿性关节炎滑膜组织最有价值的差异表达基因。
https://orcid.org/0000-0002-4338-2657(王晨宇)

关键词: 类风湿性关节炎, 滑膜组织, 差异基因, 生物信息学, 基因调控网络

Abstract: BACKGROUND: Rheumatoid arthritis is an autoimmune disease. Research on rheumatoid arthritis mainly focuses on its pathogenesis and target therapy. 
OBJECTIVE: To search for differential genes by bioinformatics analysis of rheumatoid arthritis synovitis gene chip datasets, and to establish and improve the gene regulation network of rheumatoid arthritis. 
METHODS: GEO2R was used to analyze the differential expression of rheumatoid arthritis chips screened from the database. R language and DAVID were used for gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of differentially expressed genes. String database was used for protein-protein interaction network analysis. Cystoscape software was used to obtain key genes. qPCR and western blot were used for experimental verification of some key target genes. 
RESULTS AND CONCLUSION: There were 2 064 differentially expressed genes in the synovial tissue of patients with rheumatoid arthritis, including 625 up-regulated genes and 1 439 down-regulated genes. Differentially expressed genes are mainly involved in immune response-activated cell surface receptor signaling pathway, antigen receptor mediated signaling pathway and other biological responses. Ten key target genes, including epidermal growth factor receptor (EGFR), MYC, RELA, ITGB2, LCK, EPHB2, IRF4, NRAS, FN1, and MAPK1, were identified by the protein-protein interaction network analysis. The number of protein interaction lines based on the protein-protein interaction network and Cystoscape algorithm score were used to obtain five genes with high significance, including EGFR, MYC, RELA, ITGB2, and LCK, and the experimental verification of these genes was carried out by qPCR and western blot experiments. The mRNA and protein expression levels of EGFR, MYC, RELA, ITGB2, and LCK genes in the synovial tissue of patients with rheumatoid arthritis were significantly higher than those of the control group, and the expression of EGFR changed most significantly. To conclude, there are distinct gene expression characteristics in the synovial tissue of knee joint after rheumatoid arthritis, and EGFR is the most valuable differentially expressed gene in the synovium of rheumatoid arthritis.

Key words: rheumatoid arthritis, synovial tissue, differentially expressed gene, bioinformatics, gene regulatory network

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