【摘要】 目的寻找多囊卵巢综合征的潜在治疗药靶。方法采用Grapweb软件中的MCL clustering算法,在蛋白质互作网络中,分别以2型糖尿病和多囊卵巢综合征的已知致病基因为种子,挖掘两种疾病共病性模块;以DAVID功能富集分析软件进行模块中基因的GO功能注释和通路富集显著性分析(FDR<0.05)。结果获得了68个共病性模块,其中2个为多囊卵巢综合征的潜在药靶模块。结论得到PPARG、ESR1与ESR2等潜在治疗药物靶点。更多还原

【Abstract】 Objective To look for potential targets of polycystic ovary syndrome. Methods In the protein-protein interaction network,known disease genes of type 2 diabetes and polycystic ovary syndrome as seeds to mine diseases related modules by MCL clustering in grapweb; In DAVID,gene-annotation enrichment analysis,functional annotation clustering and Bio Carta &KEGG pathway mapping for module’s disease-related genes were formation by using hypergeometric distribution method( FDR < 0. 05). Results Sixty-eight co-morbility modules were got,in which two pairs of modules contained type 2 polycystic ovary syndromes’ targets. Conclusion PPARG,ESR1,ESR2 and potential drugs are obtained potential targets.更多还原