Evidence map›Paper›PMID 40853970›Full record

ArticlePloS one2025

Probing the effect of PEG-DNA interactions and buffer viscosity on tethered DNA in shear flow.

Fatema Tuz Zohra, Huda Al-Zuhairi, Jefferson Reinoza, HyeongJun Kim, Andreas Hanke

Abstract read
In one paragraph

Article in PloS one, 2025. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Fatema Tuz ZohraDepartment of Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Huda Al-ZuhairiDepartment of Physics and Astronomy, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
Jefferson ReinozaDepartment of Mechanical Engineering, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.
HyeongJun KimDepartment of Physics and Astronomy, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.ORCID https://orcid.org/0000-0002-3769-2632
Andreas HankeDepartment of Physics and Astronomy, University of Texas Rio Grande Valley, Edinburg, Texas, United States of America.

Funding

Molecular basis of bacterial chromosome segregation and organizationR35GM143093 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI KIM, HYEONGJUN · 2021 to 2025
$2.0M
NIGMS NIH HHS R35 GM143093
6 · The paper itself

Abstract

DNA flow-stretching is a widely employed, powerful technique for investigating the mechanisms of DNA-binding proteins involved in compacting and organizing chromosomal DNA. We combine single-molecule DNA flow-stretching experiments with Brownian dynamics simulations to study the effect of the crowding agent polyethylene glycol (PEG) in these experiments. PEG interacts with DNA by an excluded volume effect, resulting in compaction of single, free DNA molecules in PEG solutions. In addition, PEG increases the viscosity of the buffer solution. By stretching surface-tethered bacteriophage lambda DNA in a flow cell and tracking the positions of a quantum dot labeled at the free DNA end using total internal reflection fluorescence (TIRF) microscopy, we find that higher PEG concentrations result in increased end-to-end length of flow-stretched DNA and decreased fluctuations of the free DNA end. To better understand our experimental results, we perform Brownian dynamics simulations of a bead-spring chain model of flow-stretched DNA in a viscous buffer that models the excluded volume effect of PEG by an effective attractive interaction between DNA segments. We find quantitative agreement between our model and the experimental results for suitable PEG-DNA interaction parameters.

Indexed as

DNADNA, ViralPolyethylene GlycolsBacteriophage lambdaBuffersViscosityBuffersDNADNA, ViralPolyethylene Glycols

Identifiers

PMID40853970
PMCPMC12377632

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Registered trials

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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.