Literature DB >> 35704208

Genome-Wide Analysis of DNA-RNA Hybrids in Yeast by DRIPc-Seq and DRIP-Seq.

María García-Rubio1, María E Soler-Oliva1, Andrés Aguilera2.   

Abstract

DNA-RNA hybrids are required for several natural processes in the cell, such as replication and transcription. However, the misregulation of its metabolism is an important source of genetic instability, a hallmark of diseases including cancer. For this reason, genome-wide detection of DNA-RNA hybrids is becoming essential to identify new factors that play a role in its formation or resolution and to understand the global changes in its dynamics because of genetic alterations or chemical treatments. Here, we describe two different immunoprecipitation-based procedures for the genome-wide profiling of DNA-RNA hybrids in the yeast Saccharomyces cerevisiae: DRIP-seq and DRIPc-seq.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  DNA–RNA hybrids; DRIP; Genome instability; R-loops; S9.6 antibody; Spike-in

Mesh:

Substances:

Year:  2022        PMID: 35704208     DOI: 10.1007/978-1-0716-2477-7_28

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


  6 in total

1.  R-loops at immunoglobulin class switch regions in the chromosomes of stimulated B cells.

Authors:  Kefei Yu; Frederic Chedin; Chih-Lin Hsieh; Thomas E Wilson; Michael R Lieber
Journal:  Nat Immunol       Date:  2003-05       Impact factor: 25.606

2.  R-loop formation is a distinctive characteristic of unmethylated human CpG island promoters.

Authors:  Paul A Ginno; Paul L Lott; Holly C Christensen; Ian Korf; Frédéric Chédin
Journal:  Mol Cell       Date:  2012-03-01       Impact factor: 17.970

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

Authors:  Lionel A Sanz; Frédéric Chédin
Journal:  Nat Protoc       Date:  2019-05-03       Impact factor: 13.491

4.  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 5.  Best practices for the visualization, mapping, and manipulation of R-loops.

Authors:  Frédéric Chédin; Stella R Hartono; Lionel A Sanz; Vincent Vanoosthuyse
Journal:  EMBO J       Date:  2021-01-07       Impact factor: 11.598

6.  S1-DRIP-seq identifies high expression and polyA tracts as major contributors to R-loop formation.

Authors:  Lamia Wahba; Lorenzo Costantino; Frederick J Tan; Anjali Zimmer; Douglas Koshland
Journal:  Genes Dev       Date:  2016-06-01       Impact factor: 11.361

  6 in total

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