多囊卵巢综合征中环状RNA差异表达的生物信息学分析  

Bioinformatics analysis of circular RNAs differential expression in polycystic ovary syndrome

作　　者：吴登辉 于津澜 张蛟[3] 杨丽珍[4] 孙玉华[4] 张跃辉[4] WU Denghui;YU Jinlan;ZHANG Jiao;YANG Lizhen;SUN Yuhua;ZHANG Yuehui(The First Clinical Medical College,Heilongjiang University of Chinese Medicine,Harbin,Heilongjiang 150040,P.R.China;Department of Gynecology,Daoli District People’s Hospital,Harbin,Heilongjiang 150040,P.R.China;Department of Traditional Chinese Medicine,the Second Affiliated Hospital of Heilongjiang University of Chinese Medicine,Harbin,Heilongjiang 150040,P.R.China;Department of Gynecology,the First Affiliated Hospital of Heilongjiang University of Chinese Medicine,Harbin,Heilongjiang 150040,P.R.China)

机构地区：[1]黑龙江中医药大学第一临床医学院,哈尔滨150040 [2]哈尔滨市道里区人民医院妇科,哈尔滨150040 [3]黑龙江中医药大学附属第二医院国医堂,哈尔滨150040 [4]黑龙江中医药大学附属第一医院妇一科,哈尔滨150040

出　　处：《华西医学》2022年第2期231-236,共6页West China Medical Journal

基　　金：国家自然科学基金(81774136,82074259);黑龙江中医药大学研究生创新项目(2020yjscx025)。

摘　　要：目的利用生物信息学探讨多囊卵巢综合征中环状RNA(circular RNA,circRNA)的差异表达,并预测与之相结合的微RNA(microRNA,miRNA)。方法通过基因表达综合数据库查找多囊卵巢综合征的卵丘细胞基因芯片表达谱,采用数据库自带的GEO2R工具筛选出差异circRNA,并利用DAVID 6.8数据库对差异circRNA基因进行基因本体分析及京都基因和基因组数据库信号通路分析,使用Circular RNA interactome预测潜在调控的miRNA,并利用Cytoscape软件建立circRNA-miRNA网络图,预测差异最显著的上调和下调的circRNA潜在调控的miRNA各5个。结果共获得多囊卵巢综合征差异circRNA 247个,预测到与上调circRNA基因结合的miRNA共277个,与下调circRNA基因结合的miRNA共125个,前10个能够与多个差异circRNA结合的miRNA分别为hsa-miR-557、hsa-miR-507、hsa-miR-224、hsa-miR-136、hsa-miR-127-5p、hsa-miR-579、hsa-miR-502-5p、hsa-miR-186、hsa-miR-1253、hsa-miR-432。结论circRNA的差异表达分析有利于了解circRNA在多囊卵巢综合征中发挥的主要作用,分析预测潜在调控的miRNA能帮助了解该病的相关发病机制。Objective To explore the differential expression of circular RNAs(circRNAs)in polycystic ovary syndrome(PCOS)by bioinformatics,and predict the microRNAs(miRNAs)associated with them.Methods The expression profile of cumulus cells gene chip in PCOS was searched in the Gene Expression Omnibus database,and differential circRNAs were screened by GEO2 R tool of the database.The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathways of different circRNA genes were analyzed using the DAVID 6.8 database.Circular RNA interactome was used to predict the potential regulated miRNAs.Cytoscape software was used to establish circRNAmiRNA network map.The potential regulatory miRNAs were predicted by the 10 circRNAs with the most significant differences in up-regulation and down-regulation.Results A total of 247 circRNAs were obtained in PCOS,and 277 miRNAs binding to up-regulated circRNA genes and 125 miRNAs binding to down-regulated circRNA genes were predicted.The top 10 miRNAs that could bind to multiple differential circRNAs were hsa-miR-557,hsa-miR-507,hsa-miR-224,hsa-miR-136,hsa-miR-127-5 p,hsa-miR-579,hsa-miR-502-5 p,hsa-miR-186,hsa-miR-1253,and hsa-miR-432.Conclusion The differential expression analysis of circRNAs is helpful to understand the main role of circRNAs in PCOS,and the prediction of potential regulated miRNAs can help to understand the pathogenesis of the disease.

关 键 词：多囊卵巢综合征 生物信息学 环状RNA 微RNA 

分 类 号：R711.75[医药卫生—妇产科学] Q811.4[医药卫生—临床医学]