RNA在体内往往形成复杂的高级结构并通过与其他生物大分子如RNA、DNA和蛋白质相互作用，以调控复杂的生物学过程。除了一级序列所携带的编码信息外，RNA的柔性特征使得其可以通过结构的动态变化携带更多的遗传调控信息。我们目前对RNA的原位高级结构和空间相互作用规律还知之甚少。为了研究RNA动态结构和多维度相互作用的功能性，我们将开发多种微量细胞RNA结构测序新技术，并利用icSHAPE、PARIS和RIC-seq绘制高时空分辨率和全景式RNA空间作用网络，系统注释非编码RNA所携带的结构元件信息。此外，通过整合RNA空间位置信息，发展RNA结构和空间作用模拟新体系，实现RNA高级结构的准确预测和可视化呈现，并阐明发育和分化过程中若干非编码RNA，尤其是环形RNA，结构动态变化的功能性。结合拟开发的活细胞非编码RNA动态成像技术，本项目有望从空间结构的层面阐释以非编码为核心的遗传调控新规律。

RNA usually needs to form intricate tertiary structures and then interacts with other molecules, including RNA, DNA, and proteins, to regulate many complicated biological processes. Beside the protein-coding information carried by the primary sequence, the flexibility feature makes RNA ideal for carrying more genetic information via structural dynamics. However, the in-situ higher-order structures and spatial interaction of RNA remain unknown. To systematically study the functionality of RNA structural dynamics and multi-dimensional interactions, we will not only develop RNA structure mapping methods that are suitable for small cell numbers but also optimize icSHAPE, PARIS and RIC-seq methods to map high spatial and panoramic RNA interaction networks. With these efforts, we hope to systematically annotate the structural component buried in non-coding RNAs. In addition, by integrating all the RNA spatial information, we aim to develop a new computational system to precisely model RNA structures and spatial interactions. Moreover, we will build up a database for data visualization. Among the RNA structural dynamics during development and differentiation, we will elucidate the functionality for several non-coding RNAs, especially circular RNAs. Combined with the proposed non-coding RNA imaging technology in living cells, we hope to unravel the spatial regulatory rules of non-coding RNA in genetic information flow.