Multigenerational cell tracking of DNA replication and heritable DNA damage

生物 表观遗传学 基因组不稳定性 遗传学 计算生物学 DNA修复 基因组 DNA复制 拷贝数变化 基因组学 细胞命运测定 癌症的体细胞进化 表型 细胞周期 细胞 DNA损伤 DNA 基因 转录因子
作者
Ανδρέας Παναγόπουλος,Merula Stout,Sinan Kilic,Peter Leary,Julia Vornberger,Virginia Pasti,Antonio Galarreta,Aleksandra Lezaja,Kyra Kirschenbühler,Ralph Imhof,Hubert Rehrauer,Urs Ziegler,Matthias Altmeyer
出处
期刊:Nature [Nature Portfolio]
被引量:1
标识
DOI:10.1038/s41586-025-08986-0
摘要

Abstract Cell heterogeneity is a universal feature of life. Although biological processes affected by cell-to-cell variation are manifold, from developmental plasticity to tumour heterogeneity and differential drug responses, the sources of cell heterogeneity remain largely unclear 1,2 . Mutational and epigenetic signatures from cancer (epi)genomics are powerful for deducing processes that shaped cancer genome evolution 3–5 . However, retrospective analyses face difficulties in resolving how cellular heterogeneity emerges and is propagated to subsequent cell generations. Here, we used multigenerational single-cell tracking based on endogenously labelled proteins and custom-designed computational tools to elucidate how oncogenic perturbations induce sister cell asymmetry and phenotypic heterogeneity. Dual CRISPR-based genome editing enabled simultaneous tracking of DNA replication patterns and heritable endogenous DNA lesions. Cell lineage trees of up to four generations were tracked in asynchronously growing cells, and time-resolved lineage analyses were combined with end-point measurements of cell cycle and DNA damage markers through iterative staining. Besides revealing replication and repair dynamics, damage inheritance and emergence of sister cell heterogeneity across multiple cell generations, through combination with single-cell transcriptomics, we delineate how common oncogenic events trigger multiple routes towards polyploidization with distinct outcomes for genome integrity. Our study provides a framework to dissect phenotypic plasticity at the single-cell level and sheds light onto cellular processes that may resemble early events during cancer development.
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