Evidence map›Paper›PMID 25938907›Full record

ReviewCurrent opinion in cell biology2015

The Yin and Yang of R-loop biology.

Lorenzo Costantino, Douglas Koshland

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

86 citing papers in PubMed, 160 citations in OpenAlex.

  1. Review
  2. Article
  3. NAR molecular medicine · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Gene regulation inCurrent research in parasitology & vector-borne diseases · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Clinical and Mechanistic Implications of R-Loops in Human Leukemias.International journal of molecular sciences · 2023
    Review

26 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.

Lorenzo CostantinoDepartment of Molecular and Cell Biology, University of California-Berkeley, Berkeley, CA 94720, United States.
Douglas KoshlandDepartment of Molecular and Cell Biology, University of California-Berkeley, Berkeley, CA 94720, United States. Electronic address: koshland@berkeley.edu.
University of California, Berkeley · US

Funding

RNA:DNA hybrids and genome instabilityR01GM107583 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI KOSHLAND, DOUGLAS E · 2013 to 2015
$853k
NIGMS NIH HHS GM107583NIGMS NIH HHS R01 GM107583
6 · The paper itself

Abstract

RNA performs diverse functions in cells, directing translation, modulating transcription and catalyzing enzymatic reactions. Remarkably RNA can also anneal to its genomic template co- or post-transcriptionally to generate an RNA-DNA hybrid and a displaced single-stranded DNA. These unusual nucleic acid structures are called R-loops. Studies in the last decades concentrated on the detrimental effects of R-loop formation, particularly on genome stability. In fact, R-loops are thought to play a role in several human diseases like cancer and neurodegenerative syndromes. But recent data has revealed that R-loops can also have a positive impact on cell processes, like regulating gene expression, chromosome structure and DNA repair. Here we summarize our current understanding of the formation and dissolution of R-loops, and discuss their negative and positive impact on genome structure and function.

Indexed as

AnimalsDNADNA RepairGenomeGenomic InstabilityHumansRNADNARNA

Identifiers

PMID25938907
PMCPMC4522345
OpenAlexW234872953

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.