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GRID-seq reveals the global RNA-chromatin interactome.
Xiao Li1, Bing Zhou1, Liang Chen1
1Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, California, USA.
Nature Biotechnology
|September 19, 2017
Summary
Scientists developed a new method, GRID-seq, to map RNA interactions with DNA in cells. This technique identifies all chromatin-interacting RNAs and their binding sites, revealing new insights into genome organization.
Area of Science:
- Genomics and Molecular Biology
- Epigenetics and Chromatin Structure
Background:
- Eukaryotic genomes interact with numerous coding and non-coding RNAs.
- Current methods lack the ability to comprehensively map these RNA-DNA interactions and binding sites.
- Understanding these interactions is crucial for deciphering genome regulation.
Purpose of the Study:
- To develop and validate a novel method for capturing in situ global RNA interactions with DNA.
- To comprehensively identify the repertoire of chromatin-interacting RNAs and their binding sites.
- To investigate the relationship between RNA-chromatin interactions and genomic regulatory elements.
Main Methods:
- Development of a deep sequencing-based method named Genome-wide RNA Interactions with DNA by deep sequencing (GRID-seq).
- Application of GRID-seq in human, mouse, and Drosophila cells.
- Analysis of identified RNA-DNA interactions to map binding sites on active promoters and enhancers.
Main Results:
- GRID-seq successfully identified a comprehensive set of chromatin-interacting coding and non-coding RNAs.
- A large number of tissue-specific RNAs were found to bind to active promoters and enhancers, particularly super-enhancers.
- Construction of a 3D global connectivity map of promoters and enhancers based on RNA-chromatin interactions.
Conclusions:
- GRID-seq is an effective method for mapping global RNA-DNA interactions and identifying chromatin-interacting RNAs.
- Coding and non-coding RNAs play significant roles in organizing active regulatory elements within the genome.
- The study reveals transcription-activity-linked genomic interactions, providing a new perspective on nuclear organization.
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