构建编码基因-非编码RNA调控网络挖掘前列腺癌潜在致病因子  

Constructing the regulatory network of PCGs-IncRNA in prostate cancer and exploring potential bi- omarkers

作　　者：朱银领 刘琳[1] 段斌[1] 李坤[1] 许艳[1] 

机构地区：[1]哈尔滨医科大学生物信息科学与技术学院生物物理教研室,150081

出　　处：《国际遗传学杂志》2016年第4期181-185,共5页International Journal of Genetics

基　　金：国家自然科学基金（81372492）;黑龙江省大学生创新创业训练计划重点项目（201510226012）

摘　　要：目的基于前列腺癌的编码基因一非编码RNA调控网络识别潜在的生物标记物。方法利用前列腺癌的lncRNA、miRNA和mRNA表达谱数据及它们与转录因子之间的靶向关系，构建编码基因一非编码RNA三维调控网络，挖掘ceRNA子网，识别潜在竞争性的lncRNA并筛选前列腺癌潜在的致病因子。结果从ceRNA子网中识别出4个lncRNA竞争性的结合了5个miRNA间接调控了63个基因的表达，功能预测这些lncRNA参与了激素调节；基于网络拓扑属性，挖掘出一个包含了16个lncRNAs、2个miRNAs、4个mRNAs的生物标记物。结论多种调控因子如TF、lncRNA、miRNA、mRNA共同作用影响前列腺癌的发生发展，其中有些lncRNA作为ceRNA来发挥基因表达调控的作用。Objective Based on the Three-Dimentional regulatory network of protein-coding genes-ncRNA （PCGs-lncRNA）in prostate cancer to explore potential biomarkers. Methods In this work, we calculated the pearson correlation coefficient between lncRNAs and genes, constructed a three- dimensional regulatory network, which contains coding and non-coding biological factors, analyzed ln- cRNA＇s competing endogenous role, and predicted these lncRNA＇ s functions. Results The ceRNA network contains 4 lncRNAs, 5 miRNAs and 63 genes. Functional prediction showed that these lncRNAs can take a part in hormone regulation. From the perspective of network properties, we found a biomarker which contains 16 lncRNAs, 2 miRNAs and 4 mRNAs. Conclusion TF, miRNA, mRNA and lneRNA may all contribute to prostate cancer, and some lncRNAs may function as competing endogenous RNAs.

关 键 词：前列腺癌 调控网络 竞争性内源RNA 长非编码RNA 

分 类 号：R737.25[医药卫生—肿瘤]