Evidence map›Paper›PMID 39386659›Full record

ArticlebioRxiv : the preprint server for biology2025

Nucleosome placement and polymer mechanics explain genomic contacts on 100kbp scales.

John Corrette, Jiachun Li, Hanjuan Shao, Praveen Krishna Veerasubramanian, Andrew Spakowitz, Timothy L Downing, Jun Allard

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

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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

5 · Who and what money

Authors and funding

7 authors.

John CorretteMathematical, Computational and Systems Biology, University of California Irvine.
Jiachun LiDepartment of Biomedical Engineering, University of California Irvine.
Hanjuan ShaoDepartment of Biomedical Engineering, University of California Irvine.
Praveen Krishna VeerasubramanianDepartment of Biomedical Engineering, University of California Irvine.
Andrew SpakowitzDepartment of Chemical Engineering, Stanford University.
Timothy L DowningMathematical, Computational and Systems Biology, University of California Irvine.
Jun AllardMathematical, Computational and Systems Biology, University of California Irvine.ORCID 0000-0002-2758-4515

Funding

Mentor Training to enhance mentorship in an interdisciplinary training programT32GM136624 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Arthur D Lander, Qing Nie · 2020 to 2026
$3.1M
NIGMS NIH HHS T32 GM136624
6 · The paper itself

Abstract

The 3d organization of the genome - in particular, which two regions of DNA are in contact with each other - plays a role in regulating gene expression. Several factors influence genome 3d organization. Nucleosomes (where ~ 100 basepairs of DNA wrap around histone proteins) bend, twist and compactify chromosomal DNA, altering its polymer mechanics. How much does the positioning of nucleosomes between gene loci influence contacts between those gene loci? And, to what extent are polymer mechanics responsible for this? To address this question, we combine a stochastic polymer mechanics model of chromosomal DNA including twists and wrapping induced by nucleosomes with two data-driven pipelines. The first estimates nucleosome positioning from ATACseq data in regions of high accessibility. Most of the genome is low-accessibility, so we combine this with a novel image analysis method that estimates the distribution of nucleosome spacing from electron microscopy data. There are no fit parameters in the biophysical model. We apply this method to IL6, IL15, CXCL9, and CXCL10, inflammatory marker genes in macrophages, before and after inflammatory stimulation, and compare the predictions with contacts measured by conformation capture experiments (4C-seq). We find that within a 500 kilo-basepairs genomic region, polymer mechanics with nucleosomes can explain 71% of close contacts. These results suggest that, while genome contacts on 100kbp-scales are multifactorial, they may be amenable to mechanistic, physical explanation. Our work also highlights the role of nucleosomes, not just at the loci of interest, but between them, and not just the total number of nucleosomes, but their specific placement. The method generalizes to other genes, and can be used to address whether a contact is under active regulation by the cell (e.g., a macrophage during inflammatory stimulation).

Indexed as

Biophysicscomputational biologypolymer physics

Identifiers

PMID39386659
PMCPMC11463500

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LicenceCC BY-NC-ND
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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.