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基因组背景使调控元件对遗传干扰敏感。

Genomic context sensitizes regulatory elements to genetic disruption.

机构信息

Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA.

Institute for Systems Genetics, NYU School of Medicine, New York, NY 10016, USA; Department of Biochemistry Molecular Pharmacology, NYU School of Medicine, New York, NY 10016, USA; Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, USA.

出版信息

Mol Cell. 2024 May 16;84(10):1842-1854.e7. doi: 10.1016/j.molcel.2024.04.013.

Abstract

Genomic context critically modulates regulatory function but is difficult to manipulate systematically. The murine insulin-like growth factor 2 (Igf2)/H19 locus is a paradigmatic model of enhancer selectivity, whereby CTCF occupancy at an imprinting control region directs downstream enhancers to activate either H19 or Igf2. We used synthetic regulatory genomics to repeatedly replace the native locus with 157-kb payloads, and we systematically dissected its architecture. Enhancer deletion and ectopic delivery revealed previously uncharacterized long-range regulatory dependencies at the native locus. Exchanging the H19 enhancer cluster with the Sox2 locus control region (LCR) showed that the H19 enhancers relied on their native surroundings while the Sox2 LCR functioned autonomously. Analysis of regulatory DNA actuation across cell types revealed that these enhancer clusters typify broader classes of context sensitivity genome wide. These results show that unexpected dependencies influence even well-studied loci, and our approach permits large-scale manipulation of complete loci to investigate the relationship between regulatory architecture and function.

摘要

基因组背景会显著调节调控功能,但很难系统地进行操作。鼠类胰岛素样生长因子 2(Igf2)/H19 基因座是增强子选择性的典型模型,即印迹控制区的 CTCF 占据指导下游增强子激活 H19 或 Igf2。我们使用合成调控基因组学技术,反复用 157kb 有效载荷替换天然基因座,并系统地剖析其结构。增强子缺失和异位表达揭示了天然基因座中以前未被描述的长距离调控依赖性。将 H19 增强子簇与 Sox2 基因座控制区(LCR)交换表明,H19 增强子依赖于其天然环境,而 Sox2 LCR 则自主发挥作用。对跨细胞类型的调控 DNA激活的分析表明,这些增强子簇是全基因组中更广泛的上下文敏感性类别的典型代表。这些结果表明,即使是研究充分的基因座也会受到意想不到的依赖性的影响,我们的方法允许对完整基因座进行大规模操作,以研究调控结构和功能之间的关系。

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本文引用的文献

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