基于生物信息学分析人狼疮肾炎血中相关差异基因

大理大学学报 ›› 2021, Vol. 6 ›› Issue (6): 50-54.

基于生物信息学分析人狼疮肾炎血中相关差异基因

曲靖医学高等专科学校基础医学部，云南曲靖655000

出版日期:2021-06-15 发布日期:2021-06-29
通讯作者: 陈春丽，讲师，E-mail：cclgu2008@126.com。
作者简介:崔道林，讲师，主要从事狼疮肾炎发生机制研究。
基金资助:
云南省教育厅科学研究基金项目（2019J1119）

Bioinformatic Analysis of Differentially Expressed Genes in Human Lupus Nephritis Blood

Department of Basic Medicine, Qujing Medical College, Qujing, Yunnan 655000, China

Online:2021-06-15 Published:2021-06-29

摘要/Abstract

摘要： 目的：运用生物信息学筛选人狼疮肾炎血液中相关差异基因，获取潜在狼疮肾炎生物标志物和生物制剂的特异性靶
点。方法：从GEO数据库下载基因芯片GSE72747，运用R 3.6.1软件筛选差异表达基因并可视化。运用R软件进行GO功能富
集分析和KEGG信号通路分析。借助STRING数据库构建蛋白质互作（PPI）网络。结果：筛选到59个差异表达基因，功能主要
在Fcγ受体结合和抗原结合上富集。信号通路分析结果显示，差异基因主要在AMPK信号通路和mTOR信号通路上富集。差
异基因的PPI网络包含30个节点和54个互作关系。结论：筛选出人狼疮肾炎血液中5个关键基因（EZH2，IGLL5，MS4A1，
PAX5，CD38），这些基因既可作为狼疮肾炎早期诊断的生物标志物，也可作为潜在生物制剂的特异性靶点。

关键词: 狼疮肾炎, 差异基因, 生物标志物

Abstract: Objective: Bioinformatic analysis was used to screen differentially expressed genes in human lupus nephritis（LN）blood,and to identify potential biomarkers of LN and specific drug targets. Methods: The GSE72747 gene set was downloaded from the GEO
database. Differentially expressed genes were screened and visualized using R 3.6.1 software. GO functional enrichment analysis and
KEGG signaling pathway analysis were performed using R software. Protein-protein interaction（PPI）networks were constructed using the STRING database. Results: A total of 59 differentially expressed genes were screened. The function was mainly enriched in Fcγ receptor binding and antigen binding. Signaling pathway analysis of differentially expressed genes showed enrichment of AMPK and mTOR signaling pathways. PPI networks derived from differentially expressed genes comprised 30 nodes and 54 interactions.
Conclusion: Five key differentially expressed genes（EZH2, IGLL5, MS4A1, PAX5, and CD38）in human LN blood were identified as
potential biomarkers for the early diagnosis of LN and specific targets for potential therapeutic agents.

Key words: lupus nephritis, differentially expressed genes, biomarkers

崔道林, 陈春丽. 基于生物信息学分析人狼疮肾炎血中相关差异基因[J]. 大理大学学报, 2021, 6(6): 50-54.

Cui Daolin, Chen Chunli. Bioinformatic Analysis of Differentially Expressed Genes in Human Lupus Nephritis Blood[J]. Journal of Dali University, 2021, 6(6): 50-54.

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