Literature DB >> 32681510

Mapping Transcriptome-Wide and Genome-Wide RNA-DNA Contacts with Chromatin-Associated RNA Sequencing (ChAR-seq).

Charles Limouse1, David Jukam2, Owen K Smith3,4, Kelsey A Fryer3,5, Aaron F Straight6,7.   

Abstract

RNAs play key roles in the cell as molecular intermediates for protein synthesis and as regulators of nuclear processes such as splicing, posttranscriptional regulation, or chromatin remodeling. Various classes of non-coding RNAs, including long non-coding RNAs (lncRNAs), can bind chromatin either directly or via interaction with chromatin binding proteins. It has been proposed that lncRNAs regulate cell-state-specific genes by coordinating the locus-dependent activity of chromatin-modifying complexes. Yet, the vast majority of lncRNAs have unknown functions, and we know little about the specific loci they regulate. A key step toward understanding chromatin regulation by RNAs is to map the genomic loci with which every nuclear RNA interacts and, reciprocally, to identify all RNAs that target a given locus. Our ability to generate such data has been limited, until recently, by the lack of methods to probe the genomic localization of more than a few RNAs at a time. Here, we describe a protocol for ChAR-seq, an RNA-DNA proximity ligation method that maps the binding loci for thousands of RNAs at once and without the need for specific RNA or DNA probe sequences. The ChAR-seq approach generates chimeric RNA-DNA molecules in situ and then converts those chimeras to DNA for next-generation sequencing. Using ChAR-seq we detect many types of chromatin-associated RNA, both coding and non-coding. Understanding the RNA-DNA interactome and its changes during differentiation or disease with ChAR-seq will likely provide key insights into chromatin and RNA biology.

Entities:  

Keywords:  ChAR-seq; Chromatin; Next-generation sequencing; Non-coding RNA; Proximity ligation; RNA; Transcriptome

Mesh:

Substances:

Year:  2020        PMID: 32681510      PMCID: PMC7607860          DOI: 10.1007/978-1-0716-0680-3_10

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  22 in total

1.  RNA antisense purification (RAP) for mapping RNA interactions with chromatin.

Authors:  Jesse Engreitz; Eric S Lander; Mitchell Guttman
Journal:  Methods Mol Biol       Date:  2015

Review 2.  Enhancers as non-coding RNA transcription units: recent insights and future perspectives.

Authors:  Wenbo Li; Dimple Notani; Michael G Rosenfeld
Journal:  Nat Rev Genet       Date:  2016-03-07       Impact factor: 53.242

3.  Genomic maps of long noncoding RNA occupancy reveal principles of RNA-chromatin interactions.

Authors:  Ci Chu; Kun Qu; Franklin L Zhong; Steven E Artandi; Howard Y Chang
Journal:  Mol Cell       Date:  2011-09-29       Impact factor: 17.970

4.  Coordinated methyl and RNA binding is required for heterochromatin localization of mammalian HP1alpha.

Authors:  Christian Muchardt; Marie Guilleme; Jacob-S Seeler; Didier Trouche; Anne Dejean; Moshe Yaniv
Journal:  EMBO Rep       Date:  2002-09-13       Impact factor: 8.807

5.  Chromatin-associated RNA sequencing (ChAR-seq) maps genome-wide RNA-to-DNA contacts.

Authors:  Jason C Bell; David Jukam; Nicole A Teran; Viviana I Risca; Owen K Smith; Whitney L Johnson; Jan M Skotheim; William James Greenleaf; Aaron F Straight
Journal:  Elife       Date:  2018-04-12       Impact factor: 8.140

6.  RNA-dependent stabilization of SUV39H1 at constitutive heterochromatin.

Authors:  Whitney L Johnson; William T Yewdell; Jason C Bell; Shannon M McNulty; Zachary Duda; Rachel J O'Neill; Beth A Sullivan; Aaron F Straight
Journal:  Elife       Date:  2017-08-01       Impact factor: 8.140

7.  Widespread transcription at neuronal activity-regulated enhancers.

Authors:  Tae-Kyung Kim; Martin Hemberg; Jesse M Gray; Allen M Costa; Daniel M Bear; Jing Wu; David A Harmin; Mike Laptewicz; Kellie Barbara-Haley; Scott Kuersten; Eirene Markenscoff-Papadimitriou; Dietmar Kuhl; Haruhiko Bito; Paul F Worley; Gabriel Kreiman; Michael E Greenberg
Journal:  Nature       Date:  2010-04-14       Impact factor: 49.962

8.  Single-cell profiling reveals that eRNA accumulation at enhancer-promoter loops is not required to sustain transcription.

Authors:  Samir Rahman; Cornelia E Zorca; Tatiana Traboulsi; Emmanuel Noutahi; Matthew R Krause; Sylvie Mader; Daniel Zenklusen
Journal:  Nucleic Acids Res       Date:  2017-04-07       Impact factor: 16.971

9.  GRID-seq reveals the global RNA-chromatin interactome.

Authors:  Xiao Li; Bing Zhou; Liang Chen; Lan-Tao Gou; Hairi Li; Xiang-Dong Fu
Journal:  Nat Biotechnol       Date:  2017-09-18       Impact factor: 54.908

10.  Transposable elements drive widespread expression of oncogenes in human cancers.

Authors:  Hyo Sik Jang; Nakul M Shah; Alan Y Du; Zea Z Dailey; Erica C Pehrsson; Paula M Godoy; David Zhang; Daofeng Li; Xiaoyun Xing; Sungsu Kim; David O'Donnell; Jeffrey I Gordon; Ting Wang
Journal:  Nat Genet       Date:  2019-03-29       Impact factor: 38.330

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.