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Evolving strategies for lineage tracing: Genetic markers, synthetic barcodes, and natural variants
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DOI：10.1016/j.stem.2026.05.001.png)
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Abstract
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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.
Keywords:
lineage tracing
cell fate
development
regeneration
diseases
barcoding
recombinase
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