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Stochastic modeling of epigenetic memory

Simone Bruno et al · Nature Portfolio · 2026

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Author / responsible party
Simone Bruno et al
Publisher
Nature Portfolio
Year
2026
ISSN
2056-7189
ISSN
2056-7189
Language
English

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Abstract Here, we review mathematical models of epigenetic memory, focusing on chromatin modifications as key mechanisms to achieve long-term maintenance of epigenetic states. After reviewing the main stochastic modeling frameworks, we focus on stochastic models of chromatin modifications to analyze residence time in memory states, which underpins the long-term maintenance of epigenetic information. We review these concepts through increasingly complicated chromatin modification circuits, including histone modifications, DNA methylation, and their combination.

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APA 7

al, S. B. E. (2026). Stochastic modeling of epigenetic memory. https://doi.org/10.1038/s41540-026-00664-9

MLA

al, Simone Bruno et. "Stochastic modeling of epigenetic memory." 2026. https://doi.org/10.1038/s41540-026-00664-9.

Chicago

al, Simone Bruno et. 2026. "Stochastic modeling of epigenetic memory.". https://doi.org/10.1038/s41540-026-00664-9.

Harvard

al, S. B. E. 2026, Stochastic modeling of epigenetic memory, Nature Portfolio, available at: https://doi.org/10.1038/s41540-026-00664-9 [Accessed 7 Aug. 2026].

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Title
Stochastic modeling of epigenetic memory
Author / contributors
Simone Bruno et al
Publisher
Nature Portfolio
Publication year
2026
ISSN
2056-7189
ISSN
2056-7189
Language
English
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