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Topologically associating domains are stable units of replication-timing regulation

机译:拓扑关联域是复制时机调节的稳定单位

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摘要

Eukaryotic chromosomes replicate in a temporal order known as the replication-timing program. In mammals, replication timing is cell-type-specific with at least half the genome switching replication timing during development, primarily in units of 400-800 kilobases ('replication domains'), whose positions are preserved in different cell types, conserved between species, and appear to confine long-range effects of chromosome rearrangements. Early and late replication correlate, respectively, with open and closed three-dimensional chromatin compartments identified by high-resolution chromosome conformation capture (Hi-C), and, to a lesser extent, late replication correlates with lamina-associated domains (LADs). Recent Hi-C mapping has unveiled substructure within chromatin compartments called topologically associating domains (TADs) that are largely conserved in their positions between cell types and are similar in size to replication domains. However, TADs can be further sub-stratified into smaller domains, challenging the significance of structures at any particular scale. Moreover, attempts to reconcile TADs and LADs to replication-timing data have not revealed a common, underlying domain structure. Here we localize boundaries of replication domains to the early-replicating border of replication-timing transitions and map their positions in 18 human and 13 mouse cell types. We demonstrate that, collectively, replication domain boundaries share a near one-to-one correlation with TAD boundaries, whereas within a cell type, adjacent TADs that replicate at similar times obscure replication domain boundaries, largely accounting for the previously reported lack of alignment. Moreover, cell-type-specific replication timing of TADs partitions the genome into two large-scale sub-nuclear compartments revealing that replication-timing transitions are indistinguishable from late-replicating regions in chromatin composition and lamina association and accounting for the reduced correlation of replication timing to LADs and heterochromatin. Our results reconcile cell-type-specific sub-nuclear compartmentalization and replication timing with developmentally stable structural domains and offer a unified model for large-scale chromosome structure and function.
机译:真核染色体以被称为复制定时程序的时间顺序复制。在哺乳动物中,复制时机是特定于细胞类型的,在发育过程中至少有一半的基因组切换复制时机,主要以400-800千个碱基(“复制域”)为单位,其位置保存在不同的细胞类型中,在物种之间保存,并且似乎限制了染色体重排的远程影响。早期和晚期复制分别与通过高分辨率染色体构象捕获(Hi-C)鉴定的开放和封闭三维染色质区室相关,在较小程度上,晚期复制与层状相关域(LAD)相关。最近的Hi-C作图已经揭示了染色质区室中的子结构,称为拓扑关联域(TAD),它们在细胞类型之间的位置在很大程度上是保守的,并且大小与复制域相似。但是,TAD可以进一步细分为较小的域,这挑战了任何特定规模的结构的重要性。此外,尝试使TAD和LAD与复制定时数据保持一致,但尚未揭示出通用的基础域结构。在这里,我们将复制域的边界定位到复制时机过渡的早期复制边界,并将它们在18种人类和13种小鼠细胞类型中的位置定位。我们证明,总的来说,复制域边界与TAD边界共享近乎一一的相关性,而在一个细胞类型内,在相似时间复制的相邻TAD使复制域边界模糊,这在很大程度上说明了先前报道的缺乏对齐方式。此外,TADs的细胞类型特异性复制时机将基因组划分为两个大规模的亚核区室,这表明复制时机转变与染色质组成和层间缔合的后期复制区没有区别,并说明复制的相关性降低LAD和异染色质的定时。我们的结果使细胞类型特异性亚核区室化和复制时机与发育稳定的结构域保持一致,并为大规模染色体结构和功能提供了统一的模型。

著录项

  • 来源
    《Nature》 |2014年第7527期|402-405|共4页
  • 作者单位

    Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306, USA;

    Division of Natural Sciences, 5800 Bay Shore Road, New College of Florida, Sarasota, Florida 34243, USA;

    Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306, USA;

    Department of Biochemistry and Molecular Biology, School of Medicine, The Pennsylvania State University, Hershey, Pennsylvania 17033, USA,Bioinformatics and Genomics Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA;

    Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA;

    Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA;

    Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306, USA;

    Bioinformatics and Genomics Program, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA;

    Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, Washington 98195, USA;

    Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA;

    Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA;

    Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA;

    Computer and Information Sciences and Engineering, University of Florida, Gainesville, Florida 32611, USA;

    Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306, USA;

    Department of Genetics, Stanford University, 300 Pasteur Drive, MC-5477 Stanford, California 94305, USA;

    Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA;

    Departments of Biology and Mathematics and Computer Science, Emory University, O. Wayne Rollins Research Center, 1510 Clifton Road NE, Atlanta, Georgia 30322, USA,Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA;

    Center for Comparative Genomics and Bioinformatics, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania 16802, USA;

    Computer and Information Sciences and Engineering, University of Florida, Gainesville, Florida 32611, USA;

    Ludwig Institute for Cancer Research and University of California, San Diego School of Medicine, 9500 Gilman Drive, La Jolla, California 92093, USA;

    Department of Biological Science, 319 Stadium Drive, Florida State University, Tallahassee, Florida 32306, USA;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 02:53:16

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