Genome-wide detection of enhancer-hijacking events from chromatin interaction data in rearranged genomes.

Genome-wide detection of enhancer-hijacking events from chromatin interaction data in rearranged genomes.
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DOI:
10.1038/s41592-021-01164-w
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发表时间:
2021-06
期刊:
影响因子:
48
通讯作者:
Yue F
Yue F
中科院分区:
生物学1区
文献类型:
--
作者:
Wang X;Xu J;Zhang B;Hou Y;Song F;Lyu H;Yue F

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最近的努力表明,结构变异(SV)可以破坏3D基因组组织和诱导增强子劫持,但没有计算工具存在,以确定这样的事件从染色质相互作用数据。在这里,我们开发了NeoLooptoms,一个计算框架来识别由SV诱导的染色质相互作用,包括染色体间易位,大缺失和倒位。我们的框架可以自动解析复杂的SV,重建断点周围的局部Hi-C图谱,归一化拷贝数变异和等位基因效应,并预测SV诱导的染色质环。我们在来自50个癌细胞系和原发性肿瘤的Hi-C数据中应用NeoLoopplasty,并鉴定了数十个与增强子劫持相关的复发基因。为了在实验上验证NeoLoopplasty,我们通过CRISPR/Cas9删除了前列腺腺癌细胞中被劫持的增强子,这显著降低了靶癌基因的表达。总之,NeoLoopplasty能够识别可能揭示治疗靶点的关键致癌调控元件。
Recent efforts have shown that structural variations (SVs) can disrupt the 3D genome organization and induce enhancer-hijacking, yet no computational tools exist to identify such events from chromatin interaction data. Here, we develop NeoLoopFinder, a computational framework to identify the chromatin interactions induced by SVs, including inter-chromosomal translocations, large deletions, and inversions. Our framework can automatically resolve complex SVs, reconstruct local Hi-C maps surrounding the breakpoints, normalize copy number variation and allele effects, and predict chromatin loops induced by SVs. We applied NeoLoopFinder in Hi-C data from 50 cancer cell lines and primary tumors and identified tens of recurrent genes associated with enhancer-hijacking. To experimentally validate NeoLoopFinder, we deleted the hijacked enhancers in prostate adenocarcinoma cells by CRISPR/Cas9, which significantly reduced the target oncogene expression. In summary, NeoLoopFinder enables to identify critical oncogenic regulatory elements that can potentially reveal therapeutic targets.
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