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增强子连接组的功能研究对卵巢癌易感位点的候选靶基因进行了优先排序。

Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci.

作者信息

Wang Wei, Song Fengju, Feng Xiangling, Chu Xinlei, Dai Hongji, Tian Jing, Fang Xuan, Song Fangfang, Liu Ben, Li Lian, Li Xiangchun, Zhao Yanrui, Zheng Hong, Chen Kexin

机构信息

Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.

Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.

出版信息

Front Genet. 2021 Mar 19;12:646179. doi: 10.3389/fgene.2021.646179. eCollection 2021.

Abstract

Identifying causal regulatory variants and their target genes from the majority of non-coding disease-associated genetic loci is the main challenge in post-Genome-Wide Association Studies (GWAS) functional studies. Although chromosome conformation capture (3C) and its derivative technologies have been successfully applied to nominate putative causal genes for non-coding variants, many GWAS target genes have not been identified yet. This study generated a high-resolution contact map from epithelial ovarian cancer (EOC) cells with two H3K27ac-HiChIP libraries and analyzed the underlying gene networks for 15 risk loci identified from the largest EOC GWAS. By combinatory analysis of 4,021 fine-mapped credible variants of EOC GWAS and high-resolution contact map, we obtained 162 target genes that mainly enriched in cancer related pathways. Compared with GTEx eQTL genes in ovarian tissue and annotated proximal genes, 132 HiChIP targets were first identified for EOC causal variants. More than half of the credible variants (CVs) involved interactions that were over 185 kb in distance, indicating that long-range transcriptional regulation is an important mechanism for the function of GWAS variants in EOC. We also found that many HiChIP gene targets showed significantly differential expressions between normal ovarian and EOC tumor samples. We validated one of these targets by manipulating the rs9303542 located region with CRISPR-Cas9 deletion and dCas9-VP64 activation experiments and found altered expression of HOXB7 and HOXB8 at 17q21.32. This study presents a systematic analysis to identify putative target genes for causal variants of EOC, providing an in-depth investigation of the mechanisms of non-coding regulatory variants in the etiology and pathogenesis of ovarian cancer.

摘要

从大多数非编码疾病相关基因座中识别因果调控变异及其靶基因是全基因组关联研究(GWAS)后功能研究的主要挑战。尽管染色体构象捕获(3C)及其衍生技术已成功应用于为非编码变异提名假定的因果基因,但许多GWAS靶基因尚未被识别。本研究利用两个H3K27ac-HiChIP文库生成了上皮性卵巢癌(EOC)细胞的高分辨率接触图谱,并分析了从最大规模的EOC GWAS中确定的15个风险位点的潜在基因网络。通过对EOC GWAS的4021个精细定位的可信变异与高分辨率接触图谱进行组合分析,我们获得了162个主要富集于癌症相关通路的靶基因。与卵巢组织中的GTEx eQTL基因和注释的近端基因相比,132个HiChIP靶标首次被确定为EOC因果变异的靶标。超过一半的可信变异(CVs)涉及距离超过185 kb的相互作用,表明长程转录调控是EOC中GWAS变异发挥功能的重要机制。我们还发现,许多HiChIP基因靶标在正常卵巢和EOC肿瘤样本之间表现出显著的差异表达。我们通过CRISPR-Cas9缺失和dCas9-VP64激活实验对rs9303542所在区域进行操作,验证了其中一个靶标,并发现17q21.32处的HOXB7和HOXB8表达发生了改变。本研究提供了一项系统分析,以识别EOC因果变异的假定靶基因,深入研究了非编码调控变异在卵巢癌病因和发病机制中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba26/8017555/d262a96e4eca/fgene-12-646179-g001.jpg

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