从单细胞DNA测序数据推断复制时间和增殖动态
Adam C Weiner1,2, Marc J Williams1, Hongyu Shi1,3
1Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nature communications
|October 1, 2024
概括
我们开发了一种新的计算方法来研究癌细胞中的DNA复制和拷贝数变化. 这种方法有助于了解基因组不稳定性如何驱动形瘤中的癌症进化.
科学领域:
- 基因组学就是基因组学.
- 癌症生物学 癌症生物学
- 计算生物学 计算生物学
背景情况:
- 在癌症中常见的形积分症涉及DNA复制和细胞分裂中的错误.
- 副本数变化 (CNAs),复制时间 (RT) 和无体瘤细胞周期动态之间的关系尚不清楚.
研究的目的:
- 从单细胞全基因组测序 (scWGS) 数据中推断细胞特异复制和复制数状态的计算方法.
- 在各种状癌症模型中研究克隆特异性RT和扩散动态.
主要方法:
- 开发了PERT,一种用于同时推断细胞特异复制和副本数量状态的概率方法.
- 应用PERT分析了来自细胞系,异种移植和原发性癌症的5万多个细胞.
主要成果:
- 观察到RT和CNA之间的双向关系,X-无活化CNA导致了显著的RT转移.
- 发现S相丰富与稳定的细胞中的增殖率相关,但不稳定的细胞中没有.
- 使用scWGS数据证明了S相细胞的强大计算识别.
结论:
- 复制时间和细胞周期属性对于了解形瘤的基因组进化至关重要.
- PERT为分析scWGS数据提供了一个强大的工具,用于研究癌细胞动态.
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