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势能景观确定了表观基因组的信息论本质。

Potential energy landscapes identify the information-theoretic nature of the epigenome.

作者信息

Jenkinson Garrett, Pujadas Elisabet, Goutsias John, Feinberg Andrew P

机构信息

Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Whitaker Biomedical Engineering Institute, Johns Hopkins University, Baltimore, Maryland, USA.

出版信息

Nat Genet. 2017 May;49(5):719-729. doi: 10.1038/ng.3811. Epub 2017 Mar 27.

DOI:10.1038/ng.3811
PMID:28346445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5565269/
Abstract

Epigenetics is the study of biochemical modifications carrying information independent of DNA sequence, which are heritable through cell division. In 1940, Waddington coined the term "epigenetic landscape" as a metaphor for pluripotency and differentiation, but methylation landscapes have not yet been rigorously computed. Using principles from statistical physics and information theory, we derive epigenetic energy landscapes from whole-genome bisulfite sequencing (WGBS) data that enable us to quantify methylation stochasticity genome-wide using Shannon's entropy, associating it with chromatin structure. Moreover, we consider the Jensen-Shannon distance between sample-specific energy landscapes as a measure of epigenetic dissimilarity and demonstrate its effectiveness for discerning epigenetic differences. By viewing methylation maintenance as a communications system, we introduce methylation channels and show that higher-order chromatin organization can be predicted from their informational properties. Our results provide a fundamental understanding of the information-theoretic nature of the epigenome that leads to a powerful approach for studying its role in disease and aging.

摘要

表观遗传学是对携带独立于DNA序列信息的生化修饰的研究,这些修饰可通过细胞分裂遗传。1940年,沃丁顿创造了“表观遗传景观”一词,作为多能性和分化的隐喻,但甲基化景观尚未得到严格计算。利用统计物理学和信息论的原理,我们从全基因组亚硫酸氢盐测序(WGBS)数据中推导出表观遗传能量景观,这使我们能够使用香农熵在全基因组范围内量化甲基化随机性,并将其与染色质结构相关联。此外,我们将样本特异性能量景观之间的 Jensen-Shannon 距离视为表观遗传差异的一种度量,并证明了其在辨别表观遗传差异方面的有效性。通过将甲基化维持视为一个通信系统,我们引入了甲基化通道,并表明可以从其信息特性预测高阶染色质组织。我们的结果提供了对表观基因组信息论本质的基本理解,从而产生了一种研究其在疾病和衰老中作用的强大方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3eae/5565269/2ad2808603a4/nihms852360f8.jpg
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