多中心染色体周围重复序列对异染色质组装作用的数学模型

IF 4.3 2区 生物学 PLoS Computational Biology Pub Date : 2024-04-01 DOI:10.1371/journal.pcbi.1012027
P. Ghimire, Mo Motamedi, Richard Joh
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引用次数: 0

摘要

虽然真核生物中中心周重复序列的长度和构成序列差异很大,但多个中心周重复序列的存在是真核染色体的保守特征之一。围中心染色质异染色质在人类疾病中经常被误调,人类实体癌中的围中心染色质重复序列会扩大。在这篇文章中,我们建立了一个裂殖酵母围中心染色质区 H3K9 的 RNAi- 依赖性甲基化数学模型。我们的模型将拷贝数作为一个明确的参数,预测只有当重复拷贝数很多时,周室才会沉默。如果重复序列的拷贝数减少,它就会变得双稳态或沉默。这表明,仅中心染色体周围重复序列的拷贝数就能决定裂殖酵母中异染色质沉默的命运。通过敏感性分析,我们确定了有利于双稳态和去沉默的参数。随机模拟显示,更快的细胞分裂和噪声有利于去沉默状态。这些结果表明了近中心染色体重复拷贝数在基因沉默中所起的意想不到的作用,并为拷贝数如何分别允许或保护基因组的重复部分和独特部分免受异染色质沉默提供了定量依据。
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Mathematical model for the role of multiple pericentromeric repeats on heterochromatin assembly
Although the length and constituting sequences for pericentromeric repeats are highly variable across eukaryotes, the presence of multiple pericentromeric repeats is one of the conserved features of the eukaryotic chromosomes. Pericentromeric heterochromatin is often misregulated in human diseases, with the expansion of pericentromeric repeats in human solid cancers. In this article, we have developed a mathematical model of the RNAi-dependent methylation of H3K9 in the pericentromeric region of fission yeast. Our model, which takes copy number as an explicit parameter, predicts that the pericentromere is silenced only if there are many copies of repeats. It becomes bistable or desilenced if the copy number of repeats is reduced. This suggests that the copy number of pericentromeric repeats alone can determine the fate of heterochromatin silencing in fission yeast. Through sensitivity analysis, we identified parameters that favor bistability and desilencing. Stochastic simulation shows that faster cell division and noise favor the desilenced state. These results show the unexpected role of pericentromeric repeat copy number in gene silencing and provide a quantitative basis for how the copy number allows or protects repetitive and unique parts of the genome from heterochromatin silencing, respectively.
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来源期刊
PLoS Computational Biology
PLoS Computational Biology 生物-生化研究方法
CiteScore
7.10
自引率
4.70%
发文量
820
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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