Evidence map›Paper›PMID 42475682›Full record

ArticleNucleic acids research2026

Detecting extracellular G4 DNA motifs in biofilms through energy transfer between DNA-binding dyes TOTO™-1 and SYTO™60.

Line Mørkholt Lund, Gabriel Antonio Salvador Minero, Julie Kaysen, Rikke Louise Meyer, Victoria Birkedal

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. Imaging nucleic acids in biofilms.Essays in biochemistry · 2026
    Review
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.

Line Mørkholt LundInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus, Denmark.ORCID 0009-0004-2952-4235
Gabriel Antonio Salvador MineroInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0002-4946-0337
Julie KaysenInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus, Denmark.
Rikke Louise MeyerInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0002-6485-5134
Victoria BirkedalInterdisciplinary Nanoscience Center (iNANO), Aarhus University, 8000 Aarhus, Denmark.ORCID 0000-0002-1360-8870

Funding

Denmark 9040-00323BIndependent Research FundNovo Nordisk Foundation NNF20OC0061417Villum Foundation 00028321Villum Foundation 00050284
6 · The paper itself

Abstract

Secondary DNA structures in extracellular DNA are important for the function and resilience of bacterial biofilms. Non-canonical DNA structures are, however, challenging to localize and characterize. We demonstrate here a FRET-based approach to detect G-quadruplexes (G4s) in vitro and in situ in the extracellular matrix of bacterial biofilms by combining the DNA-binding dyes TOTO™-1 and SYTO™60. Upon addition of the dyes and excitation of TOTO™-1, we observed strong energy transfer (FRET) between the two dyes in synthetic G4 DNA structures. Subsequently, we demonstrate the application of FRET to visualize G4 DNA in the extracellular matrix of biofilms and that these motifs are enriched upon treatment with DNase I. Our work shows a novel and robust method for analysis of G4 DNA motifs in complex biological samples using FRET-pair dyes with high affinity toward G4s.

Indexed as

BiofilmsDNADNA, BacterialFluorescence Resonance Energy TransferFluorescent DyesG-QuadruplexesBenzoxazolesNucleotide MotifsQuinolinium Compounds1,1'-((4,4,7,7-tetramethyl)-4,7-diazaundecamethylene)bis-4-(3-methyl-2,3-dihydro(benzo-1,3-oxazole)-2-methylidene)quinoliniumBenzoxazolesDNADNA, BacterialFluorescent DyesQuinolinium Compounds

Identifiers

PMID42475682
PMCPMC13384255

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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.