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The Role of Multiple Marks in Epigenetic Silencing and the Emergence of a Stable Bivalent Chromatin State

Overview of attention for article published in PLoS Computational Biology, July 2013
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Title
The Role of Multiple Marks in Epigenetic Silencing and the Emergence of a Stable Bivalent Chromatin State
Published in
PLoS Computational Biology, July 2013
DOI 10.1371/journal.pcbi.1003121
Pubmed ID
Authors

Swagatam Mukhopadhyay, Anirvan M. Sengupta

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.

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The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Netherlands 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 34%
Researcher 11 25%
Student > Master 5 11%
Professor 3 7%
Student > Doctoral Student 2 5%
Other 4 9%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 50%
Biochemistry, Genetics and Molecular Biology 10 23%
Computer Science 3 7%
Engineering 2 5%
Chemistry 2 5%
Other 1 2%
Unknown 4 9%