基于生物信息学分析库欣综合征核心基因与互作miRNA  

Identification of core genes and interacting miRNA of Cushing’s syndrome based on bioinformatics

作　　者：党春晓 刘鹏飞[1] 王鼎 郝迎新 刘金星[1] 于潇 DANG Chunxiao;LIU Pengfei;WANG Ding;HAO Yingxin;LIU Jinxing;YU Xiao(Shandong University of Traditional Chinese Medicine,Jinan 250014,Shandong,China;Department of Gynaecology,Affiliated Hospital of Shandong University of Traditional Chinese Medicine,Jinan 250014,Shandong,China;Department of Acupuncture,Anqiu Traditional Chinese Medicine Hospital,Weifang 262100,Shandong,China)

机构地区：[1]山东中医药大学,山东济南250014 [2]山东中医药大学附属医院妇科,山东济南250014 [3]安丘市中医院针灸科,山东潍坊262100

出　　处：《中南医学科学杂志》2023年第1期15-18,共4页Medical Science Journal of Central South China

基　　金：国家自然科学基金(82104917);山东省自然科学基金(ZR2021MH079,ZR2019PH053)。

摘　　要：目的 利用生物信息学筛选库欣综合征(CS)的核心基因及通路,并预测其相互作用的微小核糖核酸(miRNA)及小分子药物。方法 从GEO数据库下载CS基因芯片数据集并筛选出差异表达基因(DEG),随后对差异基因进行功能富集分析、蛋白互作分析、核心基因筛选,预测互作miRNA及小分子药物并进行验证。结果 共筛选出10个核心基因并预测出479个互作miRNA,相关通路集中在PI3K-Akt、cAMP、CS及MAPK信号通路等,奥那司匹、拉帕替尼是较为显著的小分子药物。结论 利用生物信息学方法筛选出参与CS发生发展的前5条信号通路、10个核心基因及479个互作miRNA,并预测出奥那司匹、拉帕替尼等小分子药物。Aim Bioinformatics was used to reveal the core genes and pathways of Cushing’s syndrome(CS), and predict the miRNA and small molecule drugs that may interact with it. Methods The microarray data set was downloaded from the GEO database and differentially expressed genes(DEG) were screened. Then, functional enrichment analysis, protein interaction analysis and core gene screening were performed on the differentially expressed genes, and interaction miRNA and small molecule drugs were predicted and verified. Results A total of 10 core genes were screened and 479 interaction miRNA were predicted, and the related pathways were concentrated in the PI3K-Akt, cAMP, CS and MAPK signaling pathway, etc. Onasipine and lapatinib were relatively significant small molecule drugs.Conclusion The top 5 signal pathways, 10 core genes and 479 interaction miRNA involved in the development of CS were screened by bioinformatics methods, and small molecule drugs such as Onasipine and lapatinib were predicted.

关 键 词：库欣综合征 生物信息学 核心基因 MIRNA 

分 类 号：R586.2[医药卫生—内分泌]