DNA甲基化
染色质
仿形(计算机编程)
计算生物学
DNA
RNA序列
表观遗传学
吞吐量
生物
计算机科学
遗传学
基因
基因表达
转录组
操作系统
无线
作者
shen qingmei,En-Ze Deng,Jingna Zhang,Qin Yang,Dan Su,Xiaoying Fan
标识
DOI:10.1101/2025.02.25.640234
摘要
Abstract DNA methylation and chromatin accessibility are fundamental epigenetic mechanisms that orchestrate gene expression programs, define cellular states, and drive developmental trajectories. scCOOL-seq has enabled simultaneously measuring the two modalities in the same single cells, but in quite a low throughput manner. We present single-cell split-pool ligation-based multi-omics sequencing technology (SpliCOOL-seq), which improves the throughput to thousands of cells by combining split-pool ligation based single-cell indexing after in situ tagmentation with universal Tn5 transposase and scCOOL-seq. SpliCOOL-seq achieved higher sensitivity than previous high throughput single-cell DNA methylation sequencing methods and can clearly distinguish different lung cancer cells based on both genetic and multiple epigenetic modalities. We show that the two DNMT inhibitors, 5-Azacitidine and Decitabine, both cause large scale demethylation but in distinct patterns. Applied to the primary lung tumor, SpliCOOL-seq clearly captured subclones within the tumor lesion and revealed candidate genes related to tumorigenesis. Furthermore, we presented the first report on the heterogeneity of scDNAm age acceleration among tumor subclones as predicted from a single-cell perspective. In conclusion, SpliCOOL-seq achieves parallel profiling of whole genome DNA methylation and chromatin accessibility in the same individual cells in a high-throughput manner and is hopefully used to illustrate regulatory interactions under different cell states.
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