Evidence map›Paper›PMID 29813054›Full record

ArticlePLoS computational biology2018

How epigenome drives chromatin folding and dynamics, insights from efficient coarse-grained models of chromosomes.

Surya K Ghosh, Daniel Jost

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

41 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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
    Article
  6. Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Understanding and Simulating the Dynamics of a Polymer-Like Chromatin.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  11. Article
  12. Motorized chain models of the ideal chromosome.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. 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
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Surya K GhoshUniv Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, F-38000 Grenoble, France.ORCID 0000-0002-9857-6483
Daniel JostUniv Grenoble Alpes, CNRS, Grenoble INP, TIMC-IMAG, F-38000 Grenoble, France.
Institut polytechnique de Grenoble · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 3D organization of chromosomes is crucial for regulating gene expression and cell function. Many experimental and polymer modeling efforts are dedicated to deciphering the mechanistic principles behind chromosome folding. Chromosomes are long and densely packed-topologically constrained-polymers. The main challenges are therefore to develop adequate models and simulation methods to investigate properly the multi spatio-temporal scales of such macromolecules. Here, we proposed a generic strategy to develop efficient coarse-grained models for self-avoiding polymers on a lattice. Accounting accurately for the polymer entanglement length and the volumic density, we show that our simulation scheme not only captures the steady-state structural and dynamical properties of the system but also tracks the same dynamics at different coarse-graining. This strategy allows a strong power-law gain in numerical efficiency and offers a systematic way to define reliable coarse-grained null models for chromosomes and to go beyond the current limitations by studying long chromosomes during an extended time period with good statistics. We use our formalism to investigate in details the time evolution of the 3D organization of chromosome 3R (20 Mbp) in drosophila during one cell cycle (20 hours). We show that a combination of our coarse-graining strategy with a one-parameter block copolymer model integrating epigenomic-driven interactions quantitatively reproduce experimental data at the chromosome-scale and predict that chromatin motion is very dynamic during the cell cycle.

Indexed as

ChromatinChromatin Assembly and DisassemblyEpigenesis, GeneticModels, GeneticAnimalsChromosomes, InsectComputational BiologyDrosophilaEpigenomicsMolecular Dynamics SimulationChromatin

Identifiers

PMID29813054
PMCPMC6003694
OpenAlexW2951871954

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.