Reconstructing lineage relationships between cells within a tissue or organism is a long-standing aim in biology. Traditionally, lineage tracing has been achieved through the (genetic) labeling of a cell followed by the tracking of its offspring. Currently, lineage trajectories can also be predicted using single-cell transcriptomics. Although single-cell transcriptomics provides detailed phenotypic information, the predicted lineage trajectories do not necessarily reflect genetic relationships. Recently, techniques have been developed that unite these strategies. In this Review, we discuss transcriptome-based lineage trajectory prediction algorithms, single-cell genetic lineage tracing, and the promising combination of these techniques for stem cell and cancer research.

中文翻译：

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单细胞转录组学符合谱系追踪。

重建组织或生物体内细胞之间的谱系关系是生物学的长期目标。传统上，沿袭是通过对细胞进行（遗传）标记，然后对其后代进行追踪来实现的。当前，谱系轨迹也可以使用单细胞转录组学进行预测。尽管单细胞转录组学提供详细的表型信息，但预测的谱系轨迹不一定反映遗传关系。最近，已经开发出将这些策略结合在一起的技术。在这篇综述中，我们讨论了基于转录组的谱系轨迹预测算法，单细胞遗传谱系跟踪以及将这些技术用于干细胞和癌症研究的有希望的组合。