长链非编码RNA与RNA结合蛋白的互作调控网络和功能研究

长链非编码RNA（lncRNA）与RNA结合蛋白（RBP）结合，参与多种生物学过程的调控，并在肿瘤的发生发展中发挥重要作用。然而，绝大多数lncRNA的作用机制及其与RBP之间互作的规律仍有待阐明。我们前期研究开发了starBase 和ChIPBase两大功能分析平台(ESI高引用论文)实现对非编码RNA功能靶标组、互作组和lncRNA转录调控网络的研究。在此基础上，本项目拟通过大规模整合CLIP-Seq数据，开发基于概率罚分等模型并结合功能基因组数据的新算法及平台，系统地鉴定lncRNA与RBP的互作调控网络，并对新的lncRNA的功能进行准确预测。该算法和平台可有效地用于鉴定肿瘤特异的lncRNA与RBP的互作网络，探讨它们在肿瘤发生发展过程中的作用，从而扩展我们对lncRNA及其互作调控网络在生理与疾病中作用的认识。

Long non-coding RNAs (lncRNAs) play important roles in a variety of biological processes that have been implicated in regulating tumorigenesis through interaction with RNA-binding proteins (RBPs). However, for the majority of lncRNAs, the mechanism underlying their interaction with RBPs remains unknown. In our previous studies, we have developed two platforms, starBase and ChipBase (ESI highly cited papers), to decode the targetome and interactome of non-coding RNAs as well as the transcriptional regulatory networks of lncRNAs. Based on these important platforms, in the present study, we aim to develop novel algorithm and platform to systematically identify the regulatory interaction network between lncRNAs and RBPs, and predict potential functions of novel lncRNAs. Our algorithm and platform may help to identify novel tumor-specific lncRNA-RBP interaction network, and promote our understanding of their roles in carcinogenesis and progression.