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arXiv 2002.09171cond-mat.soft
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利用逆布朗动力学从接触概率图计算染色质三维构型

Computing 3D chromatin configurations from contact probability maps by Inverse Brownian Dynamics

K. Kumari, B. Duenweg, R. Padinhateeri, J. Ravi Prakash

摘要:

染色质的三维结构,在几个基因的长度尺度上,在决定染色质的功能状态-可接近性和基因表达量方面至关重要。染色体构象捕获实验的最新进展提供了细胞群中染色质组织的部分信息,即任何片段对之间的接触计数,但不是导致这些接触计数的相互作用强度。然而,给定接触矩阵,确定整个染色质聚合物的完整3D组织是一个逆问题。在目前的工作中,一种新的逆布朗动力学(IBD)方法的基础上的粗粒度珠弹簧链模型已被提出来计算染色质的不同片段之间的最佳相互作用强度,使实验测量的接触计数概率约束得到满足。应用这种方法在两种不同的细胞类型的α-珠蛋白基因座,我们预测的3D组织相应的染色质的活性和抑制状态的基因座。我们发现,该区域的任何两个部分之间的平均距离有一个广泛的分布,不能计算为一个简单的逆关系的基础上的接触概率。多种归一化方法的结果表明,所有可测量的量可能在很大程度上取决于归一化的性质。我们认为,通过实验测量预测量,可以推断出适当的形式的归一化。

英文摘要:

The three-dimensional organization of chromatin, on the length scale of a few genes, is crucial in determining the functional state - accessibility and the amount of gene expression - of the chromatin. Recent advances in chromosome conformation capture experiments provide partial information on the chromatin organization in a cell population, namely the contact count between any segment pairs, but not on the interaction strength that leads to these contact counts. However, given the contact matrix, determining the complete 3D organization of the whole chromatin polymer is an inverse problem. In the present work, a novel Inverse Brownian Dynamics (IBD) method based on a coarse grained bead-spring chain model has been proposed to compute the optimal interaction strengths between different segments of chromatin such that the experimentally measured contact count probability constraints are satisfied. Applying this method to the α-globin gene locus in two different cell types, we predict the 3D organizations corresponding to active and repressed states of chromatin at the locus. We show that the average distance between any two segments of the region has a broad distribution and cannot be computed as a simple inverse relation based on the contact probability alone. The results presented for multiple normalization methods suggest that all measurable quantities may crucially depend on the nature of normalization. We argue that by experimentally measuring predicted quantities, one may infer the appropriate form of normalization.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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