Evidence map›Paper›PMID 35385468›Full record

ArticlePLoS computational biology2022

Epigenetic cell memory: The gene's inner chromatin modification circuit.

Simone Bruno, Ruth J Williams, Domitilla Del Vecchio

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
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  4. Nonlinearities and Switch-Like Behavior in Gene Expression: From Genetics to Biochemistry and Back.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Review
  5. Article
  6. Stochastic modeling of epigenetic memory.NPJ systems biology and applications · 2026
    Review
  7. Article
  8. Article
  9. Reversing transgene silencing via targeted chromatin editing.bioRxiv : the preprint server for biology · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
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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

3 authors at 2 institutions in 1 country.

Simone BrunoDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-9235-8226
Ruth J WilliamsDepartment of Mathematics, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0003-2822-4324
Domitilla Del VecchioDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
Massachusetts Institute of Technology · USUniversity of California San Diego · US

Funding

Synthetic Genetic Controller Circuits to Reprogram Cell FateR01EB024591 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI COLLINS, JAMES J, DEL VECCHIO, DOMITILLA · 2017 to 2020
$2.5M
NIBIB NIH HHS R01 EB024591
6 · The paper itself

Abstract

Epigenetic cell memory allows distinct gene expression patterns to persist in different cell types despite a common genotype. Although different patterns can be maintained by the concerted action of transcription factors (TFs), it was proposed that long-term persistence hinges on chromatin state. Here, we study how the dynamics of chromatin state affect memory, and focus on a biologically motivated circuit motif, among histones and DNA modifications, that mediates the action of TFs on gene expression. Memory arises from time-scale separation among three circuit's constituent processes: basal erasure, auto and cross-catalysis, and recruited erasure of modifications. When the two latter processes are sufficiently faster than the former, the circuit exhibits bistability and hysteresis, allowing active and repressed gene states to coexist and persist after TF stimulus removal. The duration of memory is stochastic with a mean value that increases as time-scale separation increases, but more so for the repressed state. This asymmetry stems from the cross-catalysis between repressive histone modifications and DNA methylation and is enhanced by the relatively slower decay rate of the latter. Nevertheless, TF-mediated positive autoregulation can rebalance this asymmetry and even confers robustness of active states to repressive stimuli. More generally, by wiring positively autoregulated chromatin modification circuits under time scale separation, long-term distinct gene expression patterns arise, which are also robust to failure in the regulatory links.

Indexed as

ChromatinHistonesEpigenesis, GeneticEpigenomicsHistone CodeChromatinHistones

Identifiers

PMID35385468
PMCPMC8985953
OpenAlexW4225729685

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.