Evidence map›Paper›PMID 42186817›Full record

ArticleNucleic acids research2026

Physics-based nucleosome-resolution modeling of epigenetic-driven chromatin domain dynamics.

Chenyang Gu, Shoji Takada, Giovanni B Brandani

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. Not yet cited in PubMed.

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

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

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

3 authors.

Chenyang GuDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
Shoji TakadaDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.
Giovanni B BrandaniDepartment of Biophysics, Graduate School of Science, Kyoto University, Kyoto 606-8502, Japan.

Funding

JSPS 21H02441JSPS 24K01991JSPS 25H02372JSPS 25K09579MEXT JPMXP1020230119
6 · The paper itself

Abstract

Chromatin spatially organizes the eukaryotic genome to support key cellular processes such as gene regulation, but the interplay between epigenetics, chromatin structure, and function is still poorly understood. We propose a nucleosome-resolution coarse-grained model that captures the essential features of chromatin organization over multiple scales: from nucleosome dynamics to chromatin fiber folding, and liquid-liquid phase separation. The model describes the effects of DNA linker length, histone tail acetylation, linker histone H1, and multibromodomain proteins such as BRD4. It is designed to be experimentally accurate but computationally efficient, allowing the study of 100 kb genomic regions on a timescale of seconds with moderate resources. We apply this model to explore the structure and dynamics of two active loci of mouse embryonic stem cells, Pou5f1 and Sox2, as determined solely by epigenetics. Our simulations reveal that chromatin folds into liquid-like domains characterized by similar histone modifications. These domains are highly dynamic, driving the formation of transient contacts between distant cis-regulatory regions. In silico mutation studies further clarify the roles of individual epigenetic factors. Overall, our physics-based modeling establishes that epigenetic-dependent nucleosome interactions play a key role in shaping the functional organization of genomic loci.

Indexed as

ChromatinEpigenesis, GeneticNucleosomesAcetylationAnimalsDNAHistonesMiceModels, MolecularMouse Embryonic Stem CellsOctamer Transcription Factor-3Phase SeparationSOXB1 Transcription FactorsTranscription FactorsChromatinDNAHistonesNucleosomesOctamer Transcription Factor-3SOXB1 Transcription FactorsTranscription Factors

Identifiers

PMID42186817
PMCPMC13202176

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.