Evidence map›Paper›PMID 41411368›Full record

ArticlePLoS computational biology2025

Decoding the role of DNA sequence on protein-DNA co-condensation.

Rohit Kumar Singh, Pinaki Swain, Mahipal Ganji, Sandeep Choubey

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Rohit Kumar SinghThe Institute of Mathematical Sciences, CIT Campus, Tharamani, Chennai, India.
Pinaki SwainThe Institute of Mathematical Sciences, CIT Campus, Tharamani, Chennai, India.ORCID 0000-0002-6175-3597
Mahipal GanjiDepartment of Biochemistry, Indian Institute of Science, Bangalore, India.
Sandeep ChoubeyThe Institute of Mathematical Sciences, CIT Campus, Tharamani, Chennai, India.ORCID 0000-0002-7387-6148

Funding

Wellcome Trust
6 · The paper itself

Abstract

The compaction of DNA by phase-separating, DNA-binding proteins has emerged as a key mechanism for organizing chromatin and shaping genome architecture. Although experimental studies have provided insights into the governing principles of such protein-DNA co-condensation, how DNA sequence affects this process remains unclear. Guided by experimental observations, we develop a simple polymer-based model of protein-DNA co-condensation that explicitly accounts for sequence-dependent protein binding. Using coarse-grained Brownian dynamics simulations, we demonstrate that, in the case of a homogeneous DNA, only one condensate forms in equilibrium. In sharp contrast, DNA sequence heterogeneity can result in the coexistence of multiple condensates. Interestingly, we find that interfacial DNA binding affinity controls capillary forces generated by protein-DNA condensates, offering a potential mechanism to regulate chromatin structure and 3D genome organization. To demonstrate the usefulness of our modeling framework, we compare the simulation results against published data for the condensation of DNA via Dps, Sox2, and HP1. We find that DNA sequence dictates the condensation of Sox2 and HP1 with DNA. Overall, our framework provides mechanistic insights into how DNA sequence affects protein-DNA co-condensation and paves the way for developing a deeper understanding of genome organization.

Indexed as

DNADNA-Binding ProteinsBase SequenceChromatinComputational BiologyMolecular Dynamics SimulationNucleic Acid ConformationProtein BindingChromatinDNADNA-Binding Proteins

Identifiers

PMID41411368
PMCPMC12725741

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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.