染色质折叠的多尺度拓扑结构

Kevin J. Emmett, Benjamin Schweinhart, R. Rabadán
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引用次数: 31

摘要

细胞核中DNA的三维结构(染色质)在许多细胞过程中起着重要作用。最近的实验进展导致了在全基因组尺度上捕获有关染色质构象信息的高通量方法。需要新的模型在全球范围内定量地解释这些数据。在这里,我们介绍使用拓扑数据分析工具来研究染色质构象。我们使用持久同源性来识别和表征接触图数据中的保守环和空洞,并确定相互作用的尺度。我们在模拟数据上演示了该方法的实用性,然后从细菌基因组和人类细胞系中查看数据。我们在这些数据集中确定了大量的多尺度拓扑结构。
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Multiscale Topology of Chromatin Folding
The three dimensional structure of DNA in the nucleus (chromatin) plays an important role in many cellular processes. Recent experimental advances have led to high-throughput methods of capturing information about chromatin conformation on genome-wide scales. New models are needed to quantitatively interpret this data at a global scale. Here we introduce the use of tools from topological data analysis to study chromatin conformation. We use persistent homology to identify and characterize conserved loops and voids in contact map data and identify scales of interaction. We demonstrate the utility of the approach on simulated data and then look data from both a bacterial genome and a human cell line. We identify substantial multiscale topology in these datasets.
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