Evidence map›Paper›PMID 41950921›Full record

ArticleCell reports methods2026

R-PLA enables enhanced detection of R-loops in mammalian cells using proximity ligation.

Anthony Sanchez, Jullian O Perren, Meili Aiello, Zachary S Buchwald, Kyle M Miller

Abstract read
In one paragraph

Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Anthony SanchezDepartment of Radiation Oncology, Emory University, School of Medicine, Winship Cancer Institute, Atlanta, GA 30322, USA.
Jullian O PerrenDepartment of Radiation Oncology, Emory University, School of Medicine, Winship Cancer Institute, Atlanta, GA 30322, USA.
Meili AielloDepartment of Radiation Oncology, Emory University, School of Medicine, Winship Cancer Institute, Atlanta, GA 30322, USA.
Zachary S BuchwaldDepartment of Radiation Oncology, Emory University, School of Medicine, Winship Cancer Institute, Atlanta, GA 30322, USA.
Kyle M MillerDepartment of Radiation Oncology, Emory University, School of Medicine, Winship Cancer Institute, Atlanta, GA 30322, USA. Electronic address: kyle.m.miller@emory.edu.

Funding

Shaping DNA Damage Response Networks Via Histone H2A VariantsR01CA198279 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI Kyle M Miller · 2016 to 2026
$3.3M
NCI NIH HHS R01 CA198279
6 · The paper itself

Abstract

R-loops are key nucleic acid structures involved in many biological processes including DNA damage responses. Here, we develop a method for detecting and visualizing R-loops using fluorescence microscopy by combining S9.6 and RNaseH1 antibodies in a proximity ligation assay (R-PLA). The requirement of two R-loop antibodies to be in close proximity to generate the signal provides enhanced selectivity, and PLA has an amplification step, which increases sensitivity. R-PLA signals are detected as foci, helping to reduce background and increase the ease of quantifying the signal. The ability of R-PLA to produce foci allows for the specific labeling of RNaseH1-associated R-loops at DNA damage sites, telomeres, and stalled replication forks. R-PLA detected increased nucleoplasmic R-loops after DNA damage induction by various methods, including PARP inhibitor (PARPi) and ionizing radiation (IR), conditions known to induce R-loops. R-PLA is also compatible with analyzing RNaseH1-associated R-loops by flow cytometry. Therefore, R-PLA provides a selective and sensitive method for detecting R-loops associated with RNaseH1 and potentially other R-loop factors, in mammalian cells.

Indexed as

R-Loop StructuresAnimalsDNA DamageHumansMicroscopy, FluorescenceRibonuclease HRibonuclease HCP: cell biologyCP: molecular biologyDNA damagefluorescence microscopyproximity ligationR-loopsRNA-DNA hybridsRNaseH1

Identifiers

PMID41950921
PMCPMC13198002

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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.