Evidence map›Paper›PMID 26045257›Full record

ReviewTrends in cell biology2015

Breaking bad: R-loops and genome integrity.

Julie Sollier, Karlene A Cimprich

Open access · greenAbstract readReview
In one paragraph

Review in Trends in cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 238 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
238citing papers in PubMed, 1 pooled it
16.9field-weighted citation impact, top 1% 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

238 citing papers in PubMed, 1 synthesis or guideline pooled it, 405 citations in OpenAlex.

  1. Synthetic lethal mutants inJournal of bacteriology · 2023
    Pooled it
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  19. R-loops: a key driver of inflammatory responses in cancer.Experimental & molecular medicine · 2025
    Review
  20. Article

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

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

2 authors at 1 institution in 1 country.

Julie SollierDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Karlene A CimprichDepartment of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: cimprich@stanford.edu.
Stanford University · US

Funding

Transcription-Associated Genome InstabilityR01GM119334 · NIGMS · STANFORD UNIVERSITY · PI Karlene A Cimprich · 2016 to 2026
$4.0M
Mechanisms Linking Genome Stability to RNA MetabolismR01GM100489 · NIGMS · STANFORD UNIVERSITY · PI CIMPRICH, KARLENE A · 2012 to 2015
$1.5M
NIGMS NIH HHS GM100489NIGMS NIH HHS R01 GM100489NIGMS NIH HHS R01 GM119334
6 · The paper itself

Abstract

R-loops, nucleic acid structures consisting of an RNA-DNA hybrid and displaced single-stranded (ss) DNA, are ubiquitous in organisms from bacteria to mammals. First described in bacteria where they initiate DNA replication, it now appears that R-loops regulate diverse cellular processes such as gene expression, immunoglobulin (Ig) class switching, and DNA repair. Changes in R-loop regulation induce DNA damage and genome instability, and recently it was shown that R-loops are associated with neurodegenerative disorders. We discuss recent developments in the field; in particular, the regulation and effects of R-loops in cells, their effect on genomic and epigenomic stability, and their potential contribution to the origin of diseases including cancer and neurodegenerative disorders.

Indexed as

Genomic InstabilityAnimalsChromatinDNA DamageDNA RepairDNA, Single-StrandedEpigenesis, GeneticHumansChromatinDNA, Single-Strandedepigenomic stabilitygene expressiongenomic instabilityR-loop

Identifiers

PMID26045257
PMCPMC4554970
OpenAlexW1686075321

What OpenQuestion holds

Textmetadata
LicenceTDM
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.