RNA-DNA hybrid (R-loop) immunoprecipitation mapping

An analytical workflow to evaluate inherent biases

László Halász, Z. Karányi, Beáta Boros-Oláh, Tímea Kuik-Rózsa, Éva Sipos, Éva Nagy, Ágnes Mosolygó-L, Anett Mázló, E. Rajnavolgyi, Gábor Halmos, Lóránt Székvölgyi

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

The impact of R-loops on the physiology and pathology of chromosomes has been demonstrated extensively by chromatin biology research. The progress in this field has been driven by technological advancement of R-loop mapping methods that largely relied on a single approach, DNA-RNA immunoprecipitation (DRIP). Most of the DRIP protocols use the experimental design that was developed by a few laboratories, without paying attention to the potential caveats that might affect the outcome of RNA-DNA hybrid mapping. To assess the accuracy and utility of this technology, we pursued an analytical approach to estimate inherent biases and errors in the DRIP protocol. By performing DRIP-sequencing, qPCR, and receiver operator characteristic (ROC) analysis, we tested the effect of formaldehyde fixation, cell lysis temperature, mode of genome fragmentation, and removal of free RNA on the efficacy of RNA-DNA hybrid detection and implemented workflows that were able to distinguish complex and weak DRIP signals in a noisy background with high confidence. We also show that some of the workflows perform poorly and generate random answers. Furthermore, we found that the most commonly used genome fragmentation method (restriction enzyme digestion) led to the overrepresentation of lengthy DRIP fragments over coding ORFs, and this bias was enhanced at the first exons. Biased genome sampling severely compromised mapping resolution and prevented the assignment of precise biological function to a significant fraction of R-loops. The revised workflow presented herein is established and optimized using objective ROC analyses and provides reproducible and highly specific RNA-DNA hybrid detection.

Original languageEnglish
Pages (from-to)1063-1073
Number of pages11
JournalGenome Research
Volume27
Issue number6
DOIs
Publication statusPublished - Jun 1 2017

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Workflow
Immunoprecipitation
RNA
DNA
Genome
RNA Sequence Analysis
Formaldehyde
Open Reading Frames
Chromatin
Digestion
Exons
Research Design
Chromosomes
Pathology
Technology
Temperature
Enzymes

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

Halász, L., Karányi, Z., Boros-Oláh, B., Kuik-Rózsa, T., Sipos, É., Nagy, É., ... Székvölgyi, L. (2017). RNA-DNA hybrid (R-loop) immunoprecipitation mapping: An analytical workflow to evaluate inherent biases. Genome Research, 27(6), 1063-1073. https://doi.org/10.1101/gr.219394.116

RNA-DNA hybrid (R-loop) immunoprecipitation mapping : An analytical workflow to evaluate inherent biases. / Halász, László; Karányi, Z.; Boros-Oláh, Beáta; Kuik-Rózsa, Tímea; Sipos, Éva; Nagy, Éva; Mosolygó-L, Ágnes; Mázló, Anett; Rajnavolgyi, E.; Halmos, Gábor; Székvölgyi, Lóránt.

In: Genome Research, Vol. 27, No. 6, 01.06.2017, p. 1063-1073.

Research output: Contribution to journalArticle

Halász, L, Karányi, Z, Boros-Oláh, B, Kuik-Rózsa, T, Sipos, É, Nagy, É, Mosolygó-L, Á, Mázló, A, Rajnavolgyi, E, Halmos, G & Székvölgyi, L 2017, 'RNA-DNA hybrid (R-loop) immunoprecipitation mapping: An analytical workflow to evaluate inherent biases', Genome Research, vol. 27, no. 6, pp. 1063-1073. https://doi.org/10.1101/gr.219394.116
Halász, László ; Karányi, Z. ; Boros-Oláh, Beáta ; Kuik-Rózsa, Tímea ; Sipos, Éva ; Nagy, Éva ; Mosolygó-L, Ágnes ; Mázló, Anett ; Rajnavolgyi, E. ; Halmos, Gábor ; Székvölgyi, Lóránt. / RNA-DNA hybrid (R-loop) immunoprecipitation mapping : An analytical workflow to evaluate inherent biases. In: Genome Research. 2017 ; Vol. 27, No. 6. pp. 1063-1073.
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