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Polymer physics predicts the effects of structural variants on chromatin architecture

机译:聚合物物理学预测结构变体对染色质建筑的影响

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摘要

Structural variants (SVs) can result in changes in gene expression due to abnormal chromatin folding and cause disease. However, the prediction of such effects remains a challenge. Here we present a polymer-physics-based approach (PRISMR) to model 3D chromatin folding and to predict enhancer-promoter contacts. PRISMR predicts higher-order chromatin structure from genome-wide chromosome conformation capture (Hi-C) data. Using the EPHA4 locus as a model, the effects of pathogenic SVs are predicted in silico and compared to Hi-C data generated from mouse limb buds and patient-derived fibroblasts. PRISMR deconvolves the folding complexity of the EPHA4 locus and identifies SV-induced ectopic contacts and alterations of 3D genome organization in homozygous or heterozygous states. We show that SVs can reconfigure topologically associating domains, thereby producing extensive rewiring of regulatory interactions and causing disease by gene misexpression. PRISMR can be used to predict interactions in silico, thereby providing a tool for analyzing the disease-causing potential of SVs.
机译:由于染色质异常折叠和引起疾病,结构变体(SVS)可能导致基因表达的变化。然而,这些效果的预测仍然是一个挑战。在这里,我们提出了一种基于聚合物 - 物理的方法(PRISMR),以模拟3D染色质折叠和预测增强剂 - 启动子接触。 PRISMR从基因组染色体构象捕获(HI-C)数据中预测高阶染色质结构。使用Epha4基因座作为模型,在硅中预测致病SV的效果,并与来自小鼠肢体芽和患者衍生的成纤维细胞产生的Hi-C数据进行比较。 Prismr Deconvolves epha4基因座的折叠复杂性,并识别纯合或杂合子状态的SV诱导的异位接触和3D基因组组织的改变。我们表明SVS可以重新配置拓扑关联结构域,从而产生了通过基因Misexpression产生的调节相互作用和引起疾病的广泛重新启动。 PRISMR可用于预测硅中的相互作用,从而提供用于分析SVS的疾病潜力的工具。

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  • 来源
    《Nature Genetics》 |2018年第5期|共9页
  • 作者单位

    Univ Napoli Federico II Dipartimento Fis Complesso Monte St Angelo Naples Italy;

    Max Planck Inst Mol Genet RG Dev &

    Dis Berlin Germany;

    Univ Napoli Federico II Dipartimento Fis Complesso Monte St Angelo Naples Italy;

    Univ Napoli Federico II Dipartimento Fis Complesso Monte St Angelo Naples Italy;

    Max Planck Inst Mol Genet RG Dev &

    Dis Berlin Germany;

    Max Planck Inst Mol Genet Dept Computat Mol Biol Berlin Germany;

    Max Planck Inst Mol Genet Dept Dev Genet Berlin Germany;

    Max Planck Inst Mol Genet RG Dev &

    Dis Berlin Germany;

    Max Delbruck Ctr Mol Med Berlin Inst Med Syst Biol Epigenet Regulat &

    Chromatin Architecture Grp;

    Max Planck Inst Mol Genet RG Dev &

    Dis Berlin Germany;

    Univ Napoli Federico II Dipartimento Fis Complesso Monte St Angelo Naples Italy;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学遗传学;
  • 关键词

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