用基于聚合物的方法从单细胞 Hi-C 数据中重建二倍体三维染色质结构

IF 2.8 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Frontiers in bioinformatics Pub Date : 2023-12-11 DOI:10.3389/fbinf.2023.1284484
Jan Rothörl, M. Brems, Tim J. Stevens, Peter Virnau
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引用次数: 0

摘要

详细了解染色质的三维结构是研究细胞内各种过程的关键要素。由于通过实验确定这些结构的直接方法缺乏所需的空间保真度,基于单细胞 Hi-C 数据的计算推断方法受到了广泛关注。在这里,我们开发了一种渐进式模拟协议,通过使用低分辨率预测结果对模棱两可的 Hi-C 接触进行最大似然关联,从而迭代提高预测的间期结构分辨率。与最先进的方法相比,我们的程序并不局限于单倍体细胞数据,而且能使我们达到每个珠子多达 5000 碱基对的分辨率。高分辨率染色质模型能让我们了解多种结构现象。例如,我们验证了染色体区域的形成、聚集染色体中心附近的孔洞以及杆状感光细胞中 CpG 含量的反转。
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Reconstructing diploid 3D chromatin structures from single cell Hi-C data with a polymer-based approach
Detailed understanding of the 3D structure of chromatin is a key ingredient to investigate a variety of processes inside the cell. Since direct methods to experimentally ascertain these structures lack the desired spatial fidelity, computational inference methods based on single cell Hi-C data have gained significant interest. Here, we develop a progressive simulation protocol to iteratively improve the resolution of predicted interphase structures by maximum-likelihood association of ambiguous Hi-C contacts using lower-resolution predictions. Compared to state-of-the-art methods, our procedure is not limited to haploid cell data and allows us to reach a resolution of up to 5,000 base pairs per bead. High resolution chromatin models grant access to a multitude of structural phenomena. Exemplarily, we verify the formation of chromosome territories and holes near aggregated chromocenters as well as the inversion of the CpG content for rod photoreceptor cells.
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