功能性LncRNA固有属性与互作特征研究

长非编码RNA(LncRNA)是生命科学前沿持续研究热点，高通量测序获得近百万预测LncRNA（HTLncRNA)，而实验证实功能性LncRNA（EVLncRNA）只有4000左右。LncRNA功能依赖其结构和动力学等固有属性，并通过与其他成分（LncRNA-X）相互作用来行使。因此，本项目拟开展功能性LncRNA固有和互作特征研究：首先，拓展优化EVLncRNA数据资源库，构建EVLncRNA-X互作数据库；其二，基于深度机器学习发展从HTLncRNA到EVLncRNA，从HTLncRNA-X到EVLncRNA-X预测方法；其三，发展EVLncRNA及其互作多参量石墨烯生物传感检测技术；最后，融合生物信息、计算机模拟和纳米生物传感等技术构建EVLncRNA综合研究平台，开展针对干细胞类器官相关EVLncRNA的研究。这对功能性LncRNA发现鉴定及其结构功能认识具有重要意义。

Long non-coding RNA (LncRNA) is a hot spot of research with a long term concern in biological science. Nearly a million predicated LncRNAs were rapidly obtained with the high-throughput sequencing method (HTLncRNA); however, only about 4,000 LncRNAs were verified by biological experiments (EVLncRNA). The functions of LncRNA depend on its inherent properties such as structure and dynamics, and the interaction with other components (LncRNA-X). Hence, this project plans to study the inherent and interacted properties of functional LncRNA. Firstly, develop the EVLncRNA database and build the EVLncRNA-X database. Secondly, develop the predicted method to distinguish EVLncRNA/EVLncRNA-X from HTLncRNA/HTLncRNA-X based on deep machine learning arithmetic. Thirdly, develop multi-parameter detection technology with graphene material to detect EVLncRNA and EVLncRNA-X. Finally, the synthetic platform will be established for us to study EVLncRNA and EVLncRNA-X by combining the bioinformatical method, computer simulation, and nano-biosensor technology, which will be used to study the EVLncRNA of stem cell organoid. This project would be of benefit for both identification of functional LncRNA and its structural-function relationship.