Lu Bingxin, Winnall Samuel, Cross William, Barnes Chris P
Department of Cell and Developmental Biology, University College London, Gower Street, London, UK.
UCL Genetics Institute, University College London, Gower Street, London, UK.
Nat Commun. 2025 Mar 28;16(1):3033. doi: 10.1038/s41467-025-58245-z.
Chromosomal instability (CIN) is pervasive in human tumours and often leads to structural or numerical chromosomal aberrations. Somatic structural variants (SVs) are intimately related to copy number alterations but the two types of variant are often studied independently. Additionally, despite numerous studies on detecting various SV patterns, there are still no general quantitative models of SV generation. To address this issue, we develop a computational cell-cycle model for the generation of SVs from end-joining repair and replication after double-strand break formation. Our model provides quantitative information on the relationship between breakage fusion bridge cycle, chromothripsis, seismic amplification, and extra-chromosomal circular DNA. Given whole-genome sequencing data, the model also allows us to infer important parameters in SV generation with Bayesian inference. Our quantitative framework unifies disparate genomic patterns resulted from CIN, provides a null mutational model for SV, and reveals deeper insights into the impact of genome rearrangement on tumour evolution.
染色体不稳定性(CIN)在人类肿瘤中普遍存在,常导致染色体结构或数量异常。体细胞结构变异(SVs)与拷贝数改变密切相关,但这两种变异类型通常是独立研究的。此外,尽管有许多关于检测各种SV模式的研究,但仍没有生成SV的通用定量模型。为了解决这个问题,我们开发了一个计算细胞周期模型,用于在双链断裂形成后通过末端连接修复和复制生成SV。我们的模型提供了关于断裂融合桥循环、染色体碎裂、地震式扩增和染色体外环状DNA之间关系的定量信息。给定全基因组测序数据,该模型还允许我们通过贝叶斯推理推断SV生成中的重要参数。我们的定量框架统一了由CIN产生的不同基因组模式,为SV提供了一个零突变模型,并揭示了对基因组重排对肿瘤进化影响的更深入见解。