基于microRNA调控网络预测卵巢癌多药耐药相关基因

发布时间：2018-04-09 11:16

本文选题：卵巢癌　切入点：多药耐药　出处：《中国肿瘤生物治疗杂志》2015年02期

【摘要】：目的:基于microRNA(miRNA)调控网络预测卵巢癌多药耐药相关基因。方法:综合运用文本挖掘、网络构建和预测等生物信息学分析方法,挖掘卵巢癌化疗耐药相关miRNA和miRNA-靶基因数据,并构建miRNA调控网络,利用已知miRNA对卵巢癌多药耐药相关基因进行预测。结果:文本挖掘出11个与卵巢癌化疗耐药相关的miRNA,包括miR-130a、miR-214、let-7i、miR-125b、miR-376c、miR-199a、miR-93、miR-141、miR-130b、miR-193b*和miR-200c。在miRNA靶基因预测数据软件Target Scan中挖掘出47 077个miRNA-靶基因数据,而Pic Tar挖掘出1 675个miRNA-靶基因数据。在miRNA调控网络中,神经素1基因(neuropilins,NRP1)是最重要的Hub-基因。结论:利用已知miRNA构建miRNA调控网络进而预测卵巢癌多药耐药相关基因是一种行之有效的方法。NRP1极有可能在卵巢癌化疗耐药形成中扮演着重要的角色,是卵巢癌潜在的药物治疗靶点。
[Abstract]:Objective: to predict multidrug resistance related genes in ovarian cancer based on microRNA-miRNA-based regulatory network.Methods: the bioinformatics analysis methods, such as text mining, network construction and prediction, were used to mine the miRNA and miRNA-target gene data related to chemoresistance of ovarian cancer, and to construct the miRNA regulatory network.Using known miRNA to predict multidrug resistance related genes in ovarian cancer.47 077 miRNA-target gene data were mined from miRNA target gene prediction software Target Scan, while 1,675 miRNA-target gene data were mined from Pic Tar.In the miRNA regulatory network, neurokinin-1 gene neuropilins1 (NRP1) is the most important Hub-gene.Conclusion: it is an effective method to construct miRNA regulatory network by using known miRNA to predict multidrug resistance-associated genes in ovarian cancer. NRP1 may play an important role in the formation of chemoresistance in ovarian cancer.It is a potential drug therapy target for ovarian cancer.
【作者单位】：广西医科大学附属肿瘤医院妇瘤科;广西医科大学医学科学实验中心生物信息学教研室;
【基金】：国家高技术研究发展计划(863计划)资助项目(No.2012AA02A507) 广西自然科学基金资助项目(桂财教2014-118号) 广西科学研究与技术开发计划课题资助项目(桂科攻14124004-1-24)~~
【分类号】：R737.31

【参考文献】