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GRID-seq reveals the global RNA-chromatin interactome
Higher eukaryotic genomes are bound by a large number of coding and non-coding RNAs, but approaches to comprehensively map the identity and binding sites of these RNAs are lacking. Here we report a method to in situ capture global RNA interactions with DNA by deep sequencing (GRID-seq), which enable...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953555/ https://www.ncbi.nlm.nih.gov/pubmed/28922346 http://dx.doi.org/10.1038/nbt.3968 |
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author | Li, Xiao Zhou, Bing Chen, Liang Gou, Lan-Tao Li, Hairi Fu, Xiang-Dong |
author_facet | Li, Xiao Zhou, Bing Chen, Liang Gou, Lan-Tao Li, Hairi Fu, Xiang-Dong |
author_sort | Li, Xiao |
collection | PubMed |
description | Higher eukaryotic genomes are bound by a large number of coding and non-coding RNAs, but approaches to comprehensively map the identity and binding sites of these RNAs are lacking. Here we report a method to in situ capture global RNA interactions with DNA by deep sequencing (GRID-seq), which enables the comprehensive identification of the entire repertoire of chromatin-interacting RNAs and their respective binding sites. In human, mouse and Drosophila cells, we detected a large set of tissue-specific coding and non-coding RNAs that are bound to active promoters and enhancers, especially super-enhancers. Assuming that most mRNA-chromatin interactions indicate the physical proximity of a promoter and an enhancer, we constructed a three-dimensional global connectivity map of promoters and enhancers, revealing transcription activity-linked genomic interactions in the nucleus. |
format | Online Article Text |
id | pubmed-5953555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-59535552018-05-15 GRID-seq reveals the global RNA-chromatin interactome Li, Xiao Zhou, Bing Chen, Liang Gou, Lan-Tao Li, Hairi Fu, Xiang-Dong Nat Biotechnol Article Higher eukaryotic genomes are bound by a large number of coding and non-coding RNAs, but approaches to comprehensively map the identity and binding sites of these RNAs are lacking. Here we report a method to in situ capture global RNA interactions with DNA by deep sequencing (GRID-seq), which enables the comprehensive identification of the entire repertoire of chromatin-interacting RNAs and their respective binding sites. In human, mouse and Drosophila cells, we detected a large set of tissue-specific coding and non-coding RNAs that are bound to active promoters and enhancers, especially super-enhancers. Assuming that most mRNA-chromatin interactions indicate the physical proximity of a promoter and an enhancer, we constructed a three-dimensional global connectivity map of promoters and enhancers, revealing transcription activity-linked genomic interactions in the nucleus. 2017-09-18 2017-10 /pmc/articles/PMC5953555/ /pubmed/28922346 http://dx.doi.org/10.1038/nbt.3968 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Li, Xiao Zhou, Bing Chen, Liang Gou, Lan-Tao Li, Hairi Fu, Xiang-Dong GRID-seq reveals the global RNA-chromatin interactome |
title | GRID-seq reveals the global RNA-chromatin interactome |
title_full | GRID-seq reveals the global RNA-chromatin interactome |
title_fullStr | GRID-seq reveals the global RNA-chromatin interactome |
title_full_unstemmed | GRID-seq reveals the global RNA-chromatin interactome |
title_short | GRID-seq reveals the global RNA-chromatin interactome |
title_sort | grid-seq reveals the global rna-chromatin interactome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5953555/ https://www.ncbi.nlm.nih.gov/pubmed/28922346 http://dx.doi.org/10.1038/nbt.3968 |
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