Xue Yan, Su Zezhuo, Lin Xinyi, Ho Mun Kay, Yu Ken H O
School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Units 1201-1206, 1223 & 1225, 12/F, Building 19W, 19 Science Park West Avenue, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China.
Biophys Rev. 2024 Feb 7;16(1):125-139. doi: 10.1007/s12551-024-01179-5. eCollection 2024 Feb.
Resolving lineage relationships between cells in an organism provides key insights into the fate of individual cells and drives a fundamental understanding of the process of development and disease. A recent rapid increase in experimental and computational advances for detecting naturally occurring somatic nuclear and mitochondrial mutation at single-cell resolution has expanded lineage tracing from model organisms to humans. This review discusses the advantages and challenges of experimental and computational techniques for cell lineage tracing using somatic mutation as endogenous DNA barcodes to decipher the relationships between cells during development and tumour evolution. We outlook the advantages of spatial clonal evolution analysis and single-cell lineage tracing using endogenous genetic markers.
解析生物体中细胞间的谱系关系,能为单个细胞的命运提供关键见解,并推动对发育和疾病过程的基本理解。最近,在以单细胞分辨率检测自然发生的体细胞核突变和线粒体突变方面,实验和计算技术取得了快速进展,这使得谱系追踪从模式生物扩展到了人类。本文综述了利用体细胞突变作为内源性DNA条形码进行细胞谱系追踪的实验和计算技术的优势与挑战,以解读发育和肿瘤进化过程中细胞间的关系。我们展望了利用内源性遗传标记进行空间克隆进化分析和单细胞谱系追踪的优势。