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Current theoretical models fail to predict the topological complexity of the human genome

机译:当前的理论模型无法预测人类基因组的拓扑复杂性

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摘要

Understanding the folding of the human genome is a key challenge of modern structural biology. The emergence of chromatin conformation capture assays (e.g., Hi-C) has revolutionized chromosome biology and provided new insights into the three dimensional structure of the genome. The experimental data are highly complex and need to be analyzed with quantitative tools. It has been argued that the data obtained from Hi-C assays are consistent with a fractal organization of the genome. A key characteristic of the fractal globule is the lack of topological complexity (knotting or inter-linking). However, the absence of topological complexity contradicts results from polymer physics showing that the entanglement of long linear polymers in a confined volume increases rapidly with the length and with decreasing volume. In vivo and in vitro assays support this claim in some biological systems. We simulate knotted lattice polygons confined inside a sphere and demonstrate that their contact frequencies agree with the human Hi-C data. We conclude that the topological complexity of the human genome cannot be inferred from current Hi-C data.
机译:了解人类基因组的折叠是现代结构生物学的关键挑战。染色质构象捕获测定法(例如Hi-C)的出现彻底改变了染色体生物学,并提供了对基因组三维结构的新见解。实验数据非常复杂,需要使用定量工具进行分析。有人认为,从Hi-C分析获得的数据与基因组的分形组织是一致的。分形小球的关键特征是缺乏拓扑复杂性(打结或互连)。但是,拓扑复杂性的缺乏与聚合物物理学的结果相矛盾,聚合物物理学表明有限空间中长线性聚合物的纠缠随长度的增加和体积的减小而迅速增加。体内和体外测定支持某些生物学系统中的这一主张。我们模拟了限制在球体内的打结的晶格多边形,并证明它们的接触频率与人类Hi-C数据一致。我们得出结论,不能从当前的Hi-C数据推断出人类基因组的拓扑复杂性。

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