Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC 27599, United States.
Biostatistics and Research Decision Sciences, Merck & Co., Inc., 126 East Lincoln Ave, Rahway, New Jersey 07065, United States.
Brief Bioinform. 2024 Jul 25;25(5). doi: 10.1093/bib/bbae426.
Harnessing the power of single-cell genomics technologies, single-cell Hi-C (scHi-C) and its derived technologies provide powerful tools to measure spatial proximity between regulatory elements and their target genes in individual cells. Using a global background model, we propose SnapHiC-G, a computational method, to identify long-range enhancer-promoter interactions from scHi-C data. We applied SnapHiC-G to scHi-C datasets generated from mouse embryonic stem cells and human brain cortical cells. SnapHiC-G achieved high sensitivity in identifying long-range enhancer-promoter interactions. Moreover, SnapHiC-G can identify putative target genes for noncoding genome-wide association study (GWAS) variants, and the genetic heritability of neuropsychiatric diseases is enriched for single-nucleotide polymorphisms (SNPs) within SnapHiC-G-identified interactions in a cell-type-specific manner. In sum, SnapHiC-G is a powerful tool for characterizing cell-type-specific enhancer-promoter interactions from complex tissues and can facilitate the discovery of chromatin interactions important for gene regulation in biologically relevant cell types.
利用单细胞基因组学技术的力量,单细胞 Hi-C(scHi-C)及其衍生技术为测量单个细胞中调控元件与其靶基因之间的空间接近度提供了强大的工具。我们使用全局背景模型,提出了 SnapHiC-G 这一计算方法,从 scHi-C 数据中识别长程增强子-启动子相互作用。我们将 SnapHiC-G 应用于从小鼠胚胎干细胞和人类大脑皮层细胞生成的 scHi-C 数据集。SnapHiC-G 在识别长程增强子-启动子相互作用方面具有很高的灵敏度。此外,SnapHiC-G 可以识别全基因组关联研究(GWAS)变异的潜在靶基因,并且神经精神疾病的遗传遗传性以细胞类型特异性的方式富集了 SnapHiC-G 识别的相互作用内的单核苷酸多态性(SNP)。总之,SnapHiC-G 是一种从复杂组织中描述细胞类型特异性增强子-启动子相互作用的强大工具,并有助于发现对生物学相关细胞类型中基因调控重要的染色质相互作用。