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多囊卵巢综合征相关基因的差异表达研究
引用本文:胡振兴,乔杰,李美芝,张小为,陈咏健,李蓉,孙春玲.多囊卵巢综合征相关基因的差异表达研究[J].北京大学学报(医学版),2004,36(6):600-604.
作者姓名:胡振兴  乔杰  李美芝  张小为  陈咏健  李蓉  孙春玲
作者单位:北京大学第三医院妇产科,北京,100083;北京大学第三医院妇产科,北京,100083;北京大学第三医院妇产科,北京,100083;北京大学第三医院妇产科,北京,100083;北京大学第三医院妇产科,北京,100083;北京大学第三医院妇产科,北京,100083;北京大学第三医院妇产科,北京,100083
基金项目:国家自然科学基金 , 国家重点基础研究发展计划(973计划)
摘    要:目的:研究多囊卵巢综合征(polycystic ovary syndrome,PCOS)患者相关基因的差异表达.方法:应用人类全基因组基因芯片U133A,以体外受精-胚胎移植(in vitro fertilization embryo transfer,IVF-ET)的多囊卵巢综合征(polycystic ovary syndrome,PCOS)患者和对照者取卵后所剩的卵泡颗粒细胞为研究对象,检测5例PCOS患者和5例对照者颗粒细胞中相关差异表达的基因.结果:与对照组比较,共筛查出与PCOS明显相关的差异表达基因46个,其中25个基因表达增加(上调),21个表达减少(下调).这些差异表达基因具有多种生物学功能,如脂类代谢调节、细胞间的信号传导和免疫炎症反应,反映了PCOS患者临床症状的多样性.结论:应用基因芯片技术,可筛查出新的PCOS遗传相关候选基因.

关 键 词:多囊卵巢综合征  卵泡颗粒细胞  基因芯片  基因表达谱
文章编号:1671-167X(2004)06-0600-05
修稿时间:2004年9月20日

The differential expression profile of polycystic ovary syndrome associated genes
Zhen-xing Hu,Jie Qiao,Mei-zhi Li,Xiao-wei Zhang,Yong-jian Chen,Rong Li,Chun-ling Sun.The differential expression profile of polycystic ovary syndrome associated genes[J].Journal of Peking University:Health Sciences,2004,36(6):600-604.
Authors:Zhen-xing Hu  Jie Qiao  Mei-zhi Li  Xiao-wei Zhang  Yong-jian Chen  Rong Li  Chun-ling Sun
Institution:Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100083, China.
Abstract:Objective:To explore the gene differential expression pattern of polycystic ovary syn-drome.Methods:We carried out microarray analysis to define the gene networks by the PCOS granulosacells in order to identify differentially expressed genes in PCOS patients.These granulosa cells of fivePCOS cases and five control cases which were derived during oocyte retrieval from women undergoingIVF.Results:As compared with control human ovarian granulosa cells,46 genes were screened out,25genes were up-regulated,and 21genes were down-regulated in PCOS.These differentially expressedgenes were involved in various biologic functions,such as regulation of fatty acid metabolism,cell-cellsignal transduction,immune and inflammatory response,reflecting the complexity of clinical manifesta-tions of PCOS.Conclusion:Microarray analysis technology is an effective mothod to identify novel PCOSassociated candidate genes.
Keywords:Polysystic ovary syndrome  Ovarian granulosa cell  Microarry  Gene expression profiling  
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