单细胞基因组和表观基因组共剖析揭示乳腺癌的硬接线和可塑性

Kaile Wang, Yun Yan, Heba Elgamal, Jianzhuo Li, Chenling Tang, Shanshan Bai, Zhenna Xiao, Emi Sei, Yiyun Lin, Junke Wang, Jessica Montalvan, Chandandeep Nagi, Alastair Thompson, Nicholas Navin
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引用次数: 0

摘要

要了解乳腺癌进展过程中基因改变对表观基因组表型的影响,单模态测量是一项挑战。在这里,我们报告了 wellDA-seq,这是第一种高基因组分辨率、高通量的方法,可以同时测量数千个单细胞的全基因组和染色质可及性图谱。利用 wellDA-seq 技术,我们对来自 2 个正常乳腺组织和 9 个肿瘤乳腺组织的 22,123 个单细胞进行了分析。通过直接将表观遗传表型映射到癌症亚克隆的遗传谱系中,我们发现了遗传硬连接和表观遗传可塑性的证据。在 6 例雌激素受体阳性乳腺癌中,我们直接确定了祖先癌细胞,并发现它们的上皮起源细胞是腔内激素反应细胞。我们还鉴定了正常乳腺组织中存在拷贝数畸变(CNA)的细胞类型,并发现乳腺癌微环境中存在 CNA 的非上皮细胞类型。这些数据让我们深入了解了乳腺肿瘤演变过程中基因改变与表观基因组表型之间的复杂关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single cell genome and epigenome co-profiling reveals hardwiring and plasticity in breast cancer
Understanding the impact of genetic alterations on epigenomic phenotypes during breast cancer progression is challenging with unimodal measurements. Here, we report wellDA-seq, the first high-genomic resolution, high-throughput method that can simultaneously measure the whole genome and chromatin accessibility profiles of thousands of single cells. Using wellDA-seq, we profiled 22,123 single cells from 2 normal and 9 tumors breast tissues. By directly mapping the epigenomic phenotypes to genetic lineages across cancer subclones, we found evidence of both genetic hardwiring and epigenetic plasticity. In 6 estrogen-receptor positive breast cancers, we directly identified the ancestral cancer cells, and found that their epithelial cell-of-origin was Luminal Hormone Responsive cells. We also identified cell types with copy number aberrations (CNA) in normal breast tissues and discovered non-epithelial cell types in the microenvironment with CNAs in breast cancers. These data provide insights into the complex relationship between genetic alterations and epigenomic phenotypes during breast tumor evolution.
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