Other

Dataset Information

0

RIC-seq for global in situ profiling of RNA-RNA spatial interactions


ABSTRACT: Highly structured RNA molecules usually interact with each other, and associate with various RNA-binding proteins, to regulate critical biological processes. However, RNA structures and interactions in intact cells remain largely unknown. Here, by coupling proximity ligation mediated by RNA-binding proteins with deep sequencing, we report an RNA in situ conformation sequencing (RIC-seq) technology for the global profiling of intra- and intermolecular RNA–RNA interactions. This technique not only recapitulates known RNA secondary structures and tertiary interactions, but also facilitates the generation of three-dimensional (3D) interaction maps of RNA in human cells. Using these maps, we identify noncoding RNA targets globally, and discern RNA topological domains and trans-interacting hubs. We reveal that the functional connectivity of enhancers and promoters can be assigned using their pairwise-interacting RNAs. Furthermore, we show that CCAT1-5L—a super-enhancer hub RNA—interacts with RNA-binding protein hnRNPK, as well as RNA derived from the MYC promoter and enhancer, to boost MYC transcription by modulating chromatin looping. Our study demonstrates the power and applicability of RIC-seq in discovering the 3D structures, interactions and regulatory roles of RNA.

ORGANISM(S): Homo sapiens Drosophila melanogaster

PROVIDER: GSE127188 | GEO | 2020/05/04

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-03-22 | GSE222816 | GEO
| PRJNA524320 | ENA
| PRJNA923609 | ENA
2024-06-01 | GSE265903 | GEO
2023-03-22 | GSE210581 | GEO
2024-05-23 | PXD036645 | Pride
2023-03-22 | GSE210582 | GEO
2023-03-22 | GSE222817 | GEO
2018-05-17 | MSV000082372 | MassIVE
2020-06-02 | GSE145784 | GEO