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利用GEO数据库分析子宫内膜异位症潜在致病基因
引用本文:张思阳,潘虹,王彬彬.利用GEO数据库分析子宫内膜异位症潜在致病基因[J].中国计划生育学杂志,2020(4):470-474.
作者姓名:张思阳  潘虹  王彬彬
作者单位:北京协和医学院研究生院;国家卫生健康委科学技术研究所
摘    要:目的:探究作用于月经增殖期及分泌期子宫内内膜异位症的共享潜在致病基因。方法:利用两个原始数据集GSE7305、GSE25628,筛选出18例子宫内膜异位症患者在位子宫内膜与匹配的异位子宫内膜组织相比的差异表达基因(DEGs),并使用基因本体论分析,KEGG(Kyoto Encyclopedia of Genes and Genomes)分析,利用STRING 11.0建立蛋白质相互作用网络。利用Cytoscape MCODE软件筛选热点模块并使用BiNGO进行相关基因的GO分析。结果:两个数据集共享96个DEGs。基因本体论分析显示DEGs富集于补体激活等通路。CLU等基因可能介导补体激活参与子宫内膜异位症的发生发展。结论:CLU等基因可能通过参与补体激活参与子宫内膜异位症的发生发展。

关 键 词:子宫内膜异位症  致病基因  生物信息学分析  CLU基因  GEO数据库

Analysis of candidate pathogenic genes of endometriosis using GEO Database
ZHANG Siyang,PAN Hong,WANG Binbin.Analysis of candidate pathogenic genes of endometriosis using GEO Database[J].Chinese Journal of Family Planning,2020(4):470-474.
Authors:ZHANG Siyang  PAN Hong  WANG Binbin
Institution:(Graduate School of Peking Union Medical College, Beijing, 100730;National Research Institute for Family Planning)
Abstract:Objective:To explore the candidate pathogenic genes of endometriosis shared by proliferative and secretory phase during menstrual cycle.Methods:Data of 18 patients with endometriosis on GSE7305 and GSE25628 were downloaded to screen differential expressed genes(DEGs)through comparing gene expression of eutopic endometrium and corresponding ectopic endometrium.Then gene 0ntology and KEGG(Kyoto Encyclopedia of genes and genomes)were used to do bioinformatic analysis,and protein interaction network was built through String 11.0.The hub clusters were screened through Cytoscape MCODE,and advanced GO analysis was done through BiNGO.Results:There were 96 DEGs through comparing eutopic endometrium and ectopic endometrium.GO analysis showed DEGs were mainly enriched in pathway of complement activation.The results showed that CLU might be involved in the occurrence and development of endometriosis via pathway of complement activation.Conclusion:CLU gene may participate in the development of endometriosis through regulating complement activation.
Keywords:Endometriosis  Pathogenic genes  Bioinformatics analysis  CLU  GEO Database
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