Evidence map›Paper›PMID 23874171›Full record

ArticlePLoS computational biology2013

The role of multiple marks in epigenetic silencing and the emergence of a stable bivalent chromatin state.

Swagatam Mukhopadhyay, Anirvan M Sengupta

Abstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Measuring the buffering capacity of gene silencing inProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  2. Article
  3. Review
  4. Article
  5. 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

2 authors.

Swagatam MukhopadhyayCold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA. smukhopa@cshl.edu
Anirvan M Sengupta

Funding

Locating Regulatory Elements in GenomesR01HG003470 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI SENGUPTA, ANIRVAN M · 2006 to 2008
$896k
NHGRI NIH HHS R01 HG003470NHGRI NIH HHS R01 HG03470
6 · The paper itself

Abstract

We introduce and analyze a minimal model of epigenetic silencing in budding yeast, built upon known biomolecular interactions in the system. Doing so, we identify the epigenetic marks essential for the bistability of epigenetic states. The model explicitly incorporates two key chromatin marks, namely H4K16 acetylation and H3K79 methylation, and explores whether the presence of multiple marks lead to a qualitatively different systems behavior. We find that having both modifications is important for the robustness of epigenetic silencing. Besides the silenced and transcriptionally active fate of chromatin, our model leads to a novel state with bivalent (i.e., both active and silencing) marks under certain perturbations (knock-out mutations, inhibition or enhancement of enzymatic activity). The bivalent state appears under several perturbations and is shown to result in patchy silencing. We also show that the titration effect, owing to a limited supply of silencing proteins, can result in counter-intuitive responses. The design principles of the silencing system is systematically investigated and disparate experimental observations are assessed within a single theoretical framework. Specifically, we discuss the behavior of Sir protein recruitment, spreading and stability of silenced regions in commonly-studied mutants (e.g., sas2[Formula: see text], dot1[Formula: see text]) illuminating the controversial role of Dot1 in the systems biology of yeast silencing.

Indexed as

Epigenesis, GeneticGene SilencingAcetylationChromatinDNA MethylationHistonesSirtuinsChromatinHistonesSirtuins

Identifiers

PMID23874171
PMCPMC3715441

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.