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De novo deciphering three-dimensional chromatin interaction and topological domains by wavelet transformation of epigenetic profiles

机译:通过表观遗传谱的小波变换从头破译三维染色质相互作用和拓扑域

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摘要

Defining chromatin interaction frequencies and topological domains is a great challenge for the annotations of genome structures. Although the chromosome conformation capture (3C) and its derivative methods have been developed for exploring the global interactome, they are limited by high experimental complexity and costs. Here we describe a novel computationalmethod, called CITD, for de novo prediction of the chromatin interaction map by integrating histone modification data. We used the public epigenomic data from human fibroblast IMR90 cell and embryonic stem cell (H1) to develop and test CITD, which can not only successfully reconstruct the chromatin interaction frequencies discovered by the Hi-C technology, but also provide additional novel details of chromosomal organizations. We predicted the chromatin interaction frequencies, topological domains and their states (e.g. active or repressive) for 98 additional cell types from Roadmap Epigenomics and ENCODE projects. A total of 131 protein-coding genes located near 78 preserved boundaries among 100 cell types are found to be significantly enriched in functional categories of the nucleosome organization and chromatin assembly. CITD and its predicted results can be used for complementing the topological domains derived from limited Hi-C data and facilitating the understanding of spatial principles underlying the chromosomal organization.
机译:定义染色质相互作用频率和拓扑结构域对于注释基因组结构是一个巨大的挑战。尽管已经开发了染色体构象捕获(3C)及其衍生方法来探索全球相互作用组,但它们受到实验复杂性和成本较高的限制。在这里,我们描述了一种新的计算方法,称为CITD,用于通过整合组蛋白修饰数据对染色质相互作用图进行从头预测。我们使用来自人类成纤维细胞IMR90细胞和胚胎干细胞(H1)的公共表观基因组数据来开发和测试CITD,它不仅可以成功地重建Hi-C技术发现的染色质相互作用频率,而且还可以提供染色体的其他新细节组织。我们从Roadmap Epigenomics和ENCODE项目预测了98种其他细胞类型的染色质相互作用频率,拓扑结构域及其状态(例如活动或抑制)。发现位于100个细胞类型中78个保留边界附近的131个蛋白质编码基因在核小体组织和染色质组装的功能类别中显着丰富。 CITD及其预测结果可用于补充从有限的Hi-C数据得出的拓扑结构域,并促进对染色体组织基础的空间原理的理解。

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