Evidence map›Paper›PMID 32778583›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Physical modeling of the heritability and maintenance of epigenetic modifications.

Sarah H Sandholtz, Quinn MacPherson, Andrew J Spakowitz

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-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

24 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. A Self-Organized Liquid Reaction Container for Cellular Memory.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. 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
  4. Article
  5. Article
  6. Physical modeling of nucleosome clustering in euchromatin resulting from interactions between epigenetic reader proteins.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Two-way feedback between chromatin compaction and histone modification state explainsProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

3 authors at 1 institution in 1 country.

Sarah H SandholtzDepartment of Chemistry, Stanford University, Stanford, CA 94305.ORCID 0000-0001-6605-4931
Quinn MacPhersonDepartment of Physics, Stanford University, Stanford, CA 94305.
Andrew J SpakowitzDepartment of Chemical Engineering, Stanford University, Stanford, CA 94305; ajspakow@stanford.edu.ORCID 0000-0002-0585-1942
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We develop a predictive theoretical model of the physical mechanisms that govern the heritability and maintenance of epigenetic modifications. This model focuses on a particular modification, methylation of lysine-9 of histone H3 (H3K9), which is one of the most representative and critical epigenetic marks that affects chromatin organization and gene expression. Our model combines the effect of segregation and compaction on chromosomal organization with the effect of the interaction between proteins that compact the chromatin (heterochromatin protein 1) and the methyltransferases that affect methyl spreading. Our chromatin model demonstrates that a block of H3K9 methylations in the epigenetic sequence determines the compaction state at any particular location in the chromatin. Using our predictive model for chromatin compaction, we develop a methylation model to address the reestablishment of the methylation sequence following DNA replication. Our model reliably maintains methylation over generations, thereby establishing the robustness of the epigenetic code.

Indexed as

DNA MethylationEpigenesis, GeneticModels, GeneticChromatinChromobox Protein Homolog 5Chromosomal Proteins, Non-HistoneHistone MethyltransferasesHumansChromatinChromobox Protein Homolog 5Chromosomal Proteins, Non-HistoneHistone Methyltransferaseschromosome modelingepigeneticsgenome organizationheritabilityMonte Carlo simulations

Identifiers

PMID32778583
PMCPMC7456148
OpenAlexW3048583225

What OpenQuestion holds

Textmetadata
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.