PO.MCB06.02 · 分子与细胞生物学

原发性乳腺癌的空间及单细胞DNA甲基化分析揭示谱系独立的表观遗传可塑性

Spatial and single-cell DNA methylation analysis of primary breast cancer reveals lineage independent epigenetic plasticity

海报缩略图:原发性乳腺癌的空间及单细胞DNA甲基化分析揭示谱系独立的表观遗传可塑性
编号 1954 展板 6 时间 4/20 09:00–12:00 区域 Section 22 主讲 Hisham Mohammed, PhD
分会场 DNA Methylation
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作者与单位 Authors & Affiliations

Ruslan Strogantsev1, Aysegul Ors2, Jamie Endicott3, Aaron R. Doe4, Hugo Cros5, Joseph Hwang5, Hisham Mohammed5

1Knight Cancer Institute, Oregon Health & Science University, Portland, OR,2Aysegul Ors (Individual),3OHSU Knight Cancer Institute, Portland, OR,4Oregon Health and Science University, Portland, OR,5CEDAR, Knight Cancer Institute, Oregon Health & Science University, Portland, OR

摘要 Abstract

中文摘要
引言:肿瘤内异质性受刚性遗传进化与可塑性表观遗传状态之间相互作用的支配。然而,剖析这些力量各自的贡献仍然是一项挑战。虽然单细胞方法已追踪遗传系统发育,但表观遗传进化的空间逻辑以及它在多大程度上作为表型的独立驱动因素仍未解决。我们提出一个全面的空间和单细胞多组学图谱来解耦这些机制。 方法:我们生成了一个大规模数据集,包括来自超过22名患者的单细胞DNA甲基化谱、来自8名患者的匹配单细胞NMT-seq(核小体、甲基化、转录),以及来自11名患者的空间DNA甲基化图谱。我们利用空间测序方法,在肿瘤切片上以50微米分辨率实现高质量DNA甲基化恢复。 结果:如预期,我们观察到癌症基因组特征性的部分甲基化结构域(PMD)中广泛而显著的去甲基化。通过利用可变/波动的DNA甲基化位点作为天然条形码,我们重建了每个肿瘤的系统发育谱系。我们证明,表观遗传定义的克隆并非随机分散,而是形成空间连贯、相邻的结构域,证实肿瘤扩张遵循空间逻辑。整合匹配的遗传数据,我们发现甲基化谱系与拷贝数变异(CNV)亚克隆状态一致。然而,我们的多组学分析揭示了一个关键分歧。虽然亚克隆特异性DNA甲基化模式与遗传学一致,但我们观察到以染色质可及性、转录因子富集和RNA表达的协调转变为特征的主导表观遗传状态,这些状态独立于潜在的遗传系统发育而出现。 结论:本研究提供了癌症表观遗传结构的首个高分辨率空间图谱。我们展示了一个双层进化模型:虽然单个CpG表观突变可记录克隆的遗传历史,但DNA甲基化也可同时驱动广泛的、系统发育独立的状态变化,从而决定细胞表型。这些发现确立了表观遗传可塑性是超越基因组约束的、独特的肿瘤异质性关键驱动因素。
查看英文原文 English abstract
Introduction: Intra-tumoral heterogeneity is governed by the interplay between rigid genetic evolution and plastic epigenetic states. However, dissecting the distinct contributions of these forces remains a challenge. While single-cell methods have traced genetic phylogeny, the spatial logic of epigenetic evolution and the extent to which it acts as an independent driver of phenotype remains unresolved. We present a comprehensive spatial and single-cell multi-omic atlas to decouple these mechanisms. Methods: We generated a large-scale dataset comprising single-cell DNA methylation profiles from >22 patients, matched single-cell NMT-seq (nucleosome, methylation, transcription) from 8 patients, and spatial DNA methylation maps from 11 patients. We utilized our spatial sequencing approach achieving high-quality DNA methylation recovery at 50-micron resolution across tumor sections. Results: We observed widespread, dramatic demethylation in Partially Methylated Domains (PMDs) characteristic of the cancer genome as expected. By leveraging variable/fluctuating DNA methylation sites as native barcodes, we reconstructed the phylogenetic lineage of each tumor. We demonstrate that epigenetically defined clones are not randomly dispersed but form spatially coherent, adjacent domains, confirming that tumor expansion follows a spatial logic. Integrating matched genetic data, we found that methylation lineages align with Copy Number Variation (CNV) sub-clone status. However, our multi-omic analysis revealed a critical divergence. While sub-clone specific DNA methylation patterns tracked with genetics, we observed dominant epigenetic states characterized by coordinated shifts in chromatin accessibility, transcription factor enrichment, and RNA expression that emerged independently of the underlying genetic phylogeny. Conclusion: This study provides the first high-resolution spatial map of epigenetic architecture in cancer. We demonstrate a dual-layer model of evolution: while single CpG epimutations can record the genetic history of the clone, DNA methylation can also simultaneously drive broad, phylogenetically independent state changes that dictates cell phenotype. These findings establish epigenetic plasticity as a distinct, key driver of tumor heterogeneity beyond the constraints of the genome.
利益披露 Disclosure
R. Strogantsev, None.. H. Cros, None.. J. Hwang, None.. H. Mohammed, None.

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