Physical modeling of the heritability and maintenance of epigenetic modifications
Physical modeling of the heritability and maintenance of epigenetic modifications
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DOI:
10.1073/pnas.1920499117
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发表时间:
2020-08
期刊:
影响因子:
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通讯作者:
Sarah H. Sandholtz;Quinn MacPherson;A. Spakowitz
中科院分区:
文献类型:
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作者:
Sarah H. Sandholtz;Quinn MacPherson;A. Spakowitz
Significance Epigenetic regulation serves as the basis on which multicellular organisms differentiate genetically identical cells into various cell types, and aberrations in epigenetic modifications lead to a range of diseases. The specific biological mechanisms behind the heritability and maintenance of epigenetic modifications are currently not well understood. We develop a predictive theoretical model of the interplay between the proteins that control chromosomal compaction and those that confer posttranslational modifications to histone proteins within chromosomal DNA. Our model is built on the experimentally observed behavior for these individual biological contributions, resulting in a predictive framework that captures a robust mechanism for epigenetic heritability. 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.