生物
谱系(遗传)
进化生物学
细胞谱系
计算生物学
基因组
追踪
遗传学
表型
自然(考古学)
合成生物学
基因组学
自然选择
全基因组测序
DNA测序
遗传异质性
机制(生物学)
基因
人类进化遗传学
作者
Zhixin Kang,Hui Chen,Siyang Li,Shou‐Wen Wang,Bin Zhou
标识
DOI:10.1016/j.stem.2026.05.001
摘要
Elucidating cell fate decision-making requires linking lineage history to dynamic phenotypic states. Driven by single-cell sequencing and genome engineering, lineage tracing has evolved from observational studies into a multidimensional, high-throughput discipline. Here, we synthesize its three methodological pillars: prospective tracking via genetic markers, high-throughput mapping using synthetic barcodes, and retrospective tracing leveraging endogenous natural variants. We survey their integration with multi-omics and spatial profiling, alongside computational approaches to decode cell fates from lineage data. By detailing each approach’s trade-offs, we offer a systematic guide for experimental design and highlight emerging frontiers for translating precision clonal analysis into the clinic.
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