摘要
目的 运用生物信息学方法分析筛选嗜铬细胞瘤/副神经节瘤(PCPG)核心差异表达基因(DEGs)。方法 通过基因表达综合数据库(GEO)获取GSE60458微阵列芯片数据,应用在线NetworkAnalyst 3.0系统鉴定DEGs, KOBAS v3.0平台分析预测DEGs的作用通路,STRING v11.0工具绘制核心DEGs蛋白质相互作用网络图,GEPIA2平台验证核心DEGs表达水平。结果 从GSE60458芯片中共获得1 903个DEGs,其中表达上调基因864个,表达下调基因1 039个。GO分析共富集1 593条通路,KEGG通路分析共富集145条通路。10个核心DEGs(CYP11A1、CYP11B1、CYP11B2、CYP17A1、HSD3B2、HSD3B1、STAR、SULT2A1、NR4A1、EGR4)主要参与甾类激素的生物合成过程。与Normal组相比较,PCPG组病人CYP11A1、CYP11B1、CYP11B2、CYP17A1、HSD3B2、STAR和SULT2A1等7个核心DEGs的表达水平显著下调(P<0.05),而HSD3B1、NR4A1和EGR4等3个核心DEGs表达水平无明显变化。结论 本研究筛选出的核心DEGs可能影响甾类激素的生物合成,参与调控PCPG的发生发展。
Objective To investigate the core differentially expressed genes(DEGs) in pheochromocytoma/paraganglioma(PCPG) based on bioinformatics. Methods Gene Expression Omnibus database was used to obtain GSE60458 microarray data. The online NetworkAnalyst 3.0 system was used to identify DEGs. KOBAS v3.0 was used for bioinformatics analysis to predict the pathway of DEGs, and STRING v11.0 was used to plot the protein-protein interaction network of core DEGS. The GEPIA2 platform was used to verify the expression level of core DEGs. Results A total of 1 903 DEGs were obtained from GSE60458 microarray, among which there were 864 upregulated genes and 1 039 downregulated genes. A total of 1 593 pathways were enriched by gene ontology analysis and 145 pathways were enriched by KEGG pathway analysis. Ten core DEGs(CYP11A1, CYP11B1, CYP11B2, CYP17A1, HSD3B2, HSD3B1, STAR, SULT2A1, NR4A1, and EGR4) were mainly involved in ste-roid hormone biosynthesis. Compared with the Normal group, the PCPG group had significant reductions in the expression levels of the 7 core DEGs of CYP11 A1, CYP11 B1, CYP11B2, CYP17A1, HSD3B2, STAR and SULT2A1(P<0.05), while there were no significant changes in the expression levels of the 3 core DEGs of HSD3B1, NR4A1, and EGR4. Conclusion The core DEGs screened out in this study may affect steroid hormone biosynthesis and participate in regulating the development and progression of PCPG.
作者
李雪丽
曹彩霞
宋洁
冯文静
钟丽娜
杨学成
LI Xueli;CAO Caixia;SONG Jie;FENG Wenjing;ZHONG Lina;YANG Xuecheng(Department of Endocrinology and Metabolism,The Affiliated Hospital of Qingdao University,Qingdao 266003,China)
出处
《青岛大学学报(医学版)》
2022年第2期183-188,共6页
Journal of Qingdao University(Medical Sciences)
基金
山东省自然科学基金资助项目(ZR2020MH104)
山东省医药卫生科技发展计划项目(2018WS381)。
关键词
嗜铬细胞瘤
副神经节瘤
基因表达
计算生物学
pheochromocytoma
paraganglioma
gene expression
computational biology