长链非编码RNA识别及其功能挖掘方法研究

项目名称： 长链非编码RNA识别及其功能挖掘方法研究

项目编号： No.61772192

项目类型： 面上项目

立项/批准年度： 2018

项目学科： 计算机科学学科

项目作者： 陈敏

作者单位： 湖南工学院

项目金额： 16万元

中文摘要： 长链非编码RNA（lncRNA）在转录和翻译等层面上调控基因和蛋白质的功能，也与很多疾病相关联。由于lncRNA种类与结构的多样性，目前发现的关联疾病的lncRNA及lncRNA靶标仅是很少的一部分，严重制约着对细胞运行机制以及疾病病理过程的认识。本研究拟从序列、结构、表达值等多源数据上采用稀疏表示理论探索lncRNA模式特征，建立识别lncRNA及其靶标的深度学习预测模型；根据lncRNA模式与lncRNA-miRNA、lncRNA-蛋白、lncRNA-mRNA相互作用构建多重lncRNA-lncRNA功能相似性网络，并结合疾病相似性网络构建lncRNA-疾病关联预测及功能挖掘模型，系统地研究疾病在lncRNA调控下的发生机制。本研究将有助于发现新lncRNA及其靶标，有助于阐明lncRNA调控机制和lncRNA所介导的疾病发生机制，为疾病预防与治疗提供理论基础。

中文关键词： 长链非编码RNA；功能网络；深度学习；疾病；miRNA

英文摘要： Long noncoding RNA (lncRNA) regulates functions of genes and proteins at multiple levels including transcription and translation and is also associated with many diseases. Owing to diversities of structures and types of lncRNA, both the detected disease-related lncRNA and the lncRNA targets account for a little proportion. This seriously blocks understanding of both the cellular mechanisms and the pathological process of diseases. This project is intended to use the sparse representation theory to explore the lncRNA pattern from the multi-source data such as the sequence, structure and expression value, and constructs the deep leaning model to identify lncRNA and its targets. And the project uses lncRNA pattern and the relationships between lncRNA and mRNA, between lncRNA and protein, as well as between lncRNA and miRNA to construct multiple lncRNA-lncRNA functional networks, and exploit the disease-disease similarity network to establish the models to predict lncRNA-disease relationships and to dig lncRNA functions, systematically exploring mechanism of lncRNA-mediated diseases. This study will help find new lncRNA and its targets, help elucidate the mechanism of regulating targets and of lncRNA-mediated diseases, and provide a theoretical foundation for disease prevention and treatment.

英文关键词： lncRNA;functional network;deep leanning; disease;miRNA