Islam Mirazul, Yang Yilin, Simmons Alan J, Shah Vishal M, Pavan Musale Krushna, Xu Yanwen, Tasneem Naila, Chen Zhengyi, Trinh Linh T, Molina Paola, Ramirez-Solano Marisol A, Sadien Iannish, Dou Jinzhuang, Chen Ken, Magnuson Mark A, Rathmell Jeffrey C, Macara Ian G, Winton Douglas, Liu Qi, Zafar Hamim, Kalhor Reza, Church George M, Shrubsole Martha J, Coffey Robert J, Lau Ken S
bioRxiv. 2023 Dec 19:2023.12.18.572260. doi: 10.1101/2023.12.18.572260.
Key to understanding many biological phenomena is knowing the temporal ordering of cellular events, which often require continuous direct observations [1, 2]. An alternative solution involves the utilization of irreversible genetic changes, such as naturally occurring mutations, to create indelible markers that enables retrospective temporal ordering [3-8]. Using NSC-seq, a newly designed and validated multi-purpose single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality , while incorporating assigned cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during murine embryonic development and identified new intestinal epithelial progenitor states by their unique genetic histories. NSC-seq analysis of murine adenomas and single-cell multi-omic profiling of human precancers as part of the Human Tumor Atlas Network (HTAN), including 116 scRNA-seq datasets and clonal analysis of 418 human polyps, demonstrated the occurrence of polyancestral initiation in 15-30% of colonic precancers, revealing their origins from multiple normal founders. Thus, our multimodal framework augments existing single-cell analyses and lays the foundation for multimodal recording, enabling the tracking of lineage and temporal events during development and tumorigenesis.
理解许多生物学现象的关键在于了解细胞事件的时间顺序,而这通常需要连续的直接观察[1,2]。另一种解决方案是利用不可逆的基因变化,如自然发生的突变,来创建能够进行回顾性时间排序的不可磨灭的标记[3-8]。我们使用新设计并经验证的多用途单细胞CRISPR平台NSC-seq,开发了一种分子时钟方法,用于记录细胞事件的时间和克隆性,同时纳入指定的细胞状态和谱系信息。使用这种方法,我们揭示了小鼠胚胎发育过程中组织特异性细胞扩张的精确时间,并通过其独特的遗传历史确定了新的肠上皮祖细胞状态。作为人类肿瘤图谱网络(HTAN)的一部分,对小鼠腺瘤进行NSC-seq分析以及对人类癌前病变进行单细胞多组学分析,包括116个scRNA-seq数据集和对418个人类息肉的克隆分析,结果表明15%-30%的结肠癌前病变存在多祖先起源,揭示了它们源自多个正常祖细胞。因此,我们的多模态框架增强了现有的单细胞分析,并为多模态记录奠定了基础,能够追踪发育和肿瘤发生过程中的谱系和时间事件。