Evidence map›Paper›PMID 28341774›Full record

ArticleGenome research2017

RNA-DNA hybrid (R-loop) immunoprecipitation mapping: an analytical workflow to evaluate inherent biases.

László Halász, Zsolt Karányi, Beáta Boros-Oláh, Tímea Kuik-Rózsa, Éva Sipos, Éva Nagy, Ágnes Mosolygó-L, Anett Mázló, Éva Rajnavölgyi, Gábor Halmos and 1 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  13. Endonuclease G promotes hepatic mitochondrial respiration by selectively increasing mitochondrial tRNAProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  15. Article
  16. Review
  17. Article
  18. Review
  19. Chromosomal R-loops: who R they?Biologia futura · 2024
    Review
  20. Article

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

László HalászMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Zsolt KarányiMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Beáta Boros-OláhMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Tímea Kuik-RózsaMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Éva SiposMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Éva NagyMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Ágnes Mosolygó-LMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
Anett MázlóDepartment of Immunology, University of Debrecen, 4032 Debrecen, Hungary.
Éva RajnavölgyiDepartment of Immunology, University of Debrecen, 4032 Debrecen, Hungary.
Gábor HalmosDepartment of Biopharmacy, University of Debrecen, 4032 Debrecen, Hungary.
Lóránt SzékvölgyiMTA-DE Momentum, Genome Architecture and Recombination Research Group, Research Centre for Molecular Medicine, University of Debrecen, 4032 Debrecen, Hungary.
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ArtifactsBase PairingCD4-Positive T-LymphocytesChromosome MappingComplex MixturesDNADNA Restriction EnzymesFixativesFormaldehydeHumansImmunoprecipitationJurkat CellsLiquid-Liquid ExtractionNucleic Acid HybridizationPrimary Cell CultureRNAComplex MixturesDNADNA Restriction EnzymesFixativesFormaldehydeRNA

Identifiers

PMID28341774
PMCPMC5453320
OpenAlexW2600482014

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.