Evidence map›Paper›PMID 38900792›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Physical modeling of nucleosome clustering in euchromatin resulting from interactions between epigenetic reader proteins.

Joseph G Wakim, Andrew J Spakowitz

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Physical models reveal indirect reader protein interactions that facilitate epigenetic crosstalk.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. A physical model of euchromatin organization.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Joseph G WakimDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305.ORCID 0000-0001-5139-9849
Andrew J SpakowitzDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305.ORCID 0000-0002-0585-1942

Funding

Live-cell multiplex super-resolution imaging of chromatin state transitionsU01DK127419 · NIDDK · STANFORD UNIVERSITY · PI BINTU, LACRAMIOARA, BOETTIGER, ALISTAIR N. · 2020 to 2024
$5.3M
National Science Foundation (NSF) 2022182NIDDK NIH HHS U01 DK127419
6 · The paper itself

Abstract

Euchromatin is an accessible phase of genetic material containing genes that encode proteins with increased expression levels. The structure of euchromatin in vitro has been described as a 30-nm fiber formed from ordered nucleosome arrays. However, recent advances in microscopy have revealed an in vivo euchromatin architecture that is much more disordered, characterized by variable-length linker DNA and sporadic nucleosome clusters. In this work, we develop a theoretical model to elucidate factors contributing to the disordered in vivo architecture of euchromatin. We begin by developing a 1D model of nucleosome positioning that captures the interactions between bound epigenetic reader proteins to predict the distribution of DNA linker lengths between adjacent nucleosomes. We then use the predicted linker lengths to construct 3D chromatin configurations consistent with the physical properties of DNA within the nucleosome array, and we evaluate the distribution of nucleosome cluster sizes in those configurations. Our model reproduces experimental cluster-size distributions, which are dramatically influenced by the local pattern of epigenetic marks and the concentration of reader proteins. Based on our model, we attribute the disordered arrangement of euchromatin to the heterogeneous binding of reader proteins and subsequent short-range interactions between bound reader proteins on adjacent nucleosomes. By replicating experimental results with our physics-based model, we propose a mechanism for euchromatin organization in the nucleus that impacts gene regulation and the maintenance of epigenetic marks.

Indexed as

Epigenesis, GeneticEuchromatinNucleosomesDNADNAEuchromatinNucleosomeschromatinepigeneticseuchromatin organizationpolymer physics

Identifiers

PMID38900792
PMCPMC11214050

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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.