Evidence map›Paper›PMID 28468672›Full record

ArticleGenome biology2017

Inferring the physical properties of yeast chromatin through Bayesian analysis of whole nucleus simulations.

Jean-Michel Arbona, Sébastien Herbert, Emmanuelle Fabre, Christophe Zimmer

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

48 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
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  3. A universal polymer signature in Hi-C resolves cohesin loop density and supports monomeric extrusion.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Condensin Accelerates Long-Range Intra-Chromosomal Interactions.bioRxiv : the preprint server for biology · 2025
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  19. HP1-driven phase separation recapitulates the thermodynamics and kinetics of heterochromatin condensate formation.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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 at 2 institutions in 1 country.

Jean-Michel ArbonaUnité Imagerie et Modélisation, Institut Pasteur, 25 rue du Docteur Roux, 75015, Paris, France.
Sébastien HerbertUnité Imagerie et Modélisation, Institut Pasteur, 25 rue du Docteur Roux, 75015, Paris, France.
Emmanuelle FabreChromosome Biology and Dynamics, Hôpital Saint Louis, Paris, France.
Christophe ZimmerUnité Imagerie et Modélisation, Institut Pasteur, 25 rue du Docteur Roux, 75015, Paris, France. czimmer@pasteur.fr.ORCID 0000-0001-9910-1589
Centre National de la Recherche Scientifique · FRHôpital Saint-Louis · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe structure and mechanical properties of chromatin impact DNA functions and nuclear architecture but remain poorly understood. In budding yeast, a simple polymer model with minimal sequence-specific constraints and a small number of structural parameters can explain diverse experimental data on nuclear architecture. However, how assumed chromatin properties affect model predictions was not previously systematically investigated.

resultsWe used hundreds of dynamic chromosome simulations and Bayesian inference to determine chromatin properties consistent with an extensive dataset that includes hundreds of measurements from imaging in fixed and live cells and two Hi-C studies. We place new constraints on average chromatin fiber properties, narrowing down the chromatin compaction to ~53-65 bp/nm and persistence length to ~52-85 nm. These constraints argue against a 20-30 nm fiber as the exclusive chromatin structure in the genome. Our best model provides a much better match to experimental measurements of nuclear architecture and also recapitulates chromatin dynamics measured on multiple loci over long timescales.

conclusionThis work substantially improves our understanding of yeast chromatin mechanics and chromosome architecture and provides a new analytic framework to infer chromosome properties in other organisms.

Indexed as

Chromatin Assembly and DisassemblyComputer SimulationBayes TheoremCell NucleusChromatinSaccharomyces cerevisiaeChromatinChromatinChromosomesNuclear architecturePolymer modelsYeast

Identifiers

PMID28468672
PMCPMC5414205
OpenAlexW2610883583

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.