Literature DB >> 31053798

High-resolution, strand-specific R-loop mapping via S9.6-based DNA-RNA immunoprecipitation and high-throughput sequencing.

Lionel A Sanz1, Frédéric Chédin2.   

Abstract

R-loops are prevalent three-stranded non-B DNA structures composed of an RNA-DNA hybrid and a single strand of DNA. R-loops are implicated in various basic nuclear processes, such as class-switch recombination, transcription termination and chromatin patterning. Perturbations in R-loop metabolism have been linked to genomic instability and have been implicated in human disorders, including cancer. As a consequence, the accurate mapping of these structures has been of increasing interest in recent years. Here, we describe two related immunoprecipitation-based methods for mapping R-loop structures: basic DRIP-seq (DNA-RNA immunoprecipitation followed by high-throughput DNA sequencing), an easy, robust, but resolution-limited technique; and DRIPc-seq (DNA-RNA immunoprecipitation followed by cDNA conversion coupled to high-throughput sequencing), a high-resolution and strand-specific iteration of the method that permits accurate R-loop mapping genome wide. Briefly, after gentle DNA extraction and restriction digestion with a cocktail of enzymes, R-loop structures are immunoprecipitated with the anti-RNA-DNA hybrid S9.6 antibody. Compared with DRIP-seq, in which the immunoprecipitated DNA is directly sequenced, DRIPc-seq permits the recovery of the RNA moiety of R-loops, and these RNA strands are subjected to strand-specific RNA sequencing (RNA-seq) analysis. DRIPc-seq can be performed in 5 d and can be applied to any cell type, provided sufficient starting material can be collected. Accurately mapping R-loop distribution in various cell lines and under varied conditions is essential to understanding the formation, roles and dynamic resolution of these important structures.

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Year:  2019        PMID: 31053798      PMCID: PMC6615061          DOI: 10.1038/s41596-019-0159-1

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  54 in total

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2.  The R-Loop Atlas of Arabidopsis Development and Responses to Environmental Stimuli.

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Journal:  Plant Cell       Date:  2020-02-19       Impact factor: 11.277

3.  Noncoding RNA processing by DIS3 regulates chromosomal architecture and somatic hypermutation in B cells.

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Journal:  Nat Genet       Date:  2021-02-01       Impact factor: 38.330

4.  Characterization of R-Loop Structures Using Single-Molecule R-Loop Footprinting and Sequencing.

Authors:  Maika Malig; Frederic Chedin
Journal:  Methods Mol Biol       Date:  2020

5.  Chromatin Remodeling and Immediate Early Gene Activation by SLFN11 in Response to Replication Stress.

Authors:  Junko Murai; Hongliang Zhang; Lorinc Pongor; Sai-Wen Tang; Ukhyun Jo; Fumiya Moribe; Yixiao Ma; Masaru Tomita; Yves Pommier
Journal:  Cell Rep       Date:  2020-03-24       Impact factor: 9.423

6.  qDRIP: a method to quantitatively assess RNA-DNA hybrid formation genome-wide.

Authors:  Magdalena P Crossley; Michael J Bocek; Stephan Hamperl; Tomek Swigut; Karlene A Cimprich
Journal:  Nucleic Acids Res       Date:  2020-08-20       Impact factor: 16.971

Review 7.  R-loops as Janus-faced modulators of DNA repair.

Authors:  Aline Marnef; Gaëlle Legube
Journal:  Nat Cell Biol       Date:  2021-04-09       Impact factor: 28.824

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Journal:  EMBO J       Date:  2021-02-26       Impact factor: 11.598

9.  The SWI/SNF chromatin remodeling complex helps resolve R-loop-mediated transcription-replication conflicts.

Authors:  Aleix Bayona-Feliu; Sonia Barroso; Sergio Muñoz; Andrés Aguilera
Journal:  Nat Genet       Date:  2021-05-13       Impact factor: 38.330

10.  San1 deficiency leads to cardiomyopathy due to excessive R-loop-associated DNA damage and cardiomyocyte hypoplasia.

Authors:  Zhiheng Liu; Xu Gao; Zhou Zhou; Sung Wook Kang; Yong Yang; Hao Liu; Chunqin Zhang; Zheng Wen; Xiaoquan Rao; Daowen Wang; Donnell White; Qinglin Yang; Qinqiang Long
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2021-07-31       Impact factor: 5.187

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