癌症miRNA表达谱中的多isomiR相互作用识别方法研究

miRNA表达与癌症的关联是近年来生物信息学与生物医学的研究热点问题。已有大量研究致力于寻找在癌症患者中差异表达的miRNA。但目前还鲜有研究在isomiR水平上分析癌症miRNA的特异表达。isomiR是近几年刚刚发现的miRNA差异表达现象。类比于编码基因中的GWAS研究，isomiR有望成为癌症致病基因和致病miRNA的关键突破口。. 本项目受启发于GWAS的最新研究进展，提出用miRNA-疾病网络指导致病isomiR选择，进而研究多isomiR相互作用下的癌症诊断与致病机理。本项目主要研究内容包括：(1)提高miRNA-疾病网络构建方法从而找出致癌miRNA；(2)分析致癌miRNA中多isomiR相互作用的致癌机制；(3)利用测序和PCR等分子实验技术探讨和验证多isomiR在癌症中的差异表达和生物功能。通过本项目的研究，可以开拓新的生物信息学理论方法、开发癌症诊断预测软件系统。

The relationship between miRNA expression and cancer is a hot topic in bioinformatics and biomedicine. There have been lots of researches on specific expressed miRNAs on cancer. However, few works have been done on the isomiR level for cancer miRNA specific expression research. IsomiR is found in the diverse expression of miRNA in recent years. Similar to GWAS in oncogene research, isomiR is expected to be solution to oncogenic miRNAs detection. .We followed the ideas of latest researches on GWAS, proposed oncogenic isomiRs selection method based on miRNA-disease network, and would do further research on cancer diagnosis and pathway from multi isomiRs interaction. The main contents of this proposal include (1)how to improve the miRNA-disease network construction algorithm for oncogenic miRNAs; (2)detecting multi isomiR interaction from oncogenic miRNAs; (3) verifying specific expressed isomiR and miRNA by sequencing and PCR techneques. The project would develop novel bioinformatics methods and cancer diagnosis prediction software system. It can also facilitate the cancer research and drug design.