Evidence map›Paper›PMID 28574479›Full record

ReviewGenes2017

R Loops in the Regulation of Antibody Gene Diversification.

Rushad Pavri

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

22 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Review
  3. R-loops: a key driver of inflammatory responses in cancer.Experimental & molecular medicine · 2025
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Nucleotide excision repair: a versatile and smart toolkit.Acta biochimica et biophysica Sinica · 2022
    Review
  11. Article
  12. Review
  13. Extrachromosomal Circular DNA (eccDNA): From Chaos to Function.Frontiers in cell and developmental biology · 2021
    Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Rushad PavriResearch Institute of Molecular Pathology (IMP), Campus Vienna Biocenter-1, Vienna Biocenter, Vienna 1030, Austria. rushad.pavri@imp.ac.at.
Research Institute of Molecular Pathology · AT

Funding

Austrian Science Fund FWF P 29163
6 · The paper itself

Abstract

For nearly three decades, R loops have been closely linked with class switch recombination (CSR), the process that generates antibody isotypes and that occurs via a complex cascade initiated by transcription-coupled mutagenesis in switch recombination sequences. R loops form during transcription of switch recombination sequences in vitro and in vivo, and there is solid evidence that R loops are required for efficient class switching. The classical model of R loops posits that they boost mutation rates by generating stable and long tracts of single-stranded DNA that serve as the substrate for activation induced deaminase (AID), the enzyme that initiates the CSR reaction cascade by co-transcriptionally mutating ssDNA in switch recombination sequences. Though logical and compelling, this model has not been supported by in vivo evidence. Indeed, several reports suggest that R loops may not be involved in recruiting AID activity to switch regions, meaning that R loops probably serve other unanticipated roles in CSR. Here, I review the key findings in this field to date and propose hypotheses that could help towards elucidating the precise function of R loops in CSR.

Indexed as

activation induced deaminase (AID)class switch recombination (CSR)Q-quadruplexes (G4)R loops

Identifiers

PMID28574479
PMCPMC5485518
OpenAlexW2620638082

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.