Department of Developmental Biology Washington, University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA; Department of Genetics Washington, University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA; Center of Regenerative Medicine, Washington University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA.
Department of Developmental Biology Washington, University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA; Department of Genetics Washington, University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA; Center of Regenerative Medicine, Washington University School of Medicine in St. Louis, 660 S. Euclid Avenue, Campus Box 8103, St. Louis, MO 63110, USA.
Dev Cell. 2021 Jan 11;56(1):7-21. doi: 10.1016/j.devcel.2020.10.021. Epub 2020 Nov 19.
Lineage tracing and fate mapping, overlapping yet distinct disciplines to follow cells and their progeny, have evolved rapidly over the last century. Lineage tracing aims to identify all progeny arising from an individual cell, placing them within a lineage hierarchy. The recent emergence of genomic technologies, such as single-cell and spatial transcriptomics, has fostered sophisticated new methods to reconstruct lineage relationships at high resolution. In contrast, fate maps, schematics showing which parts of the embryo will develop into which tissue, have remained relatively static since the 1970s. However, fate maps provide spatial information, often lost in lineage reconstruction, that can offer fundamental mechanistic insight into development. Here, we broadly review the origins of fate mapping and lineage tracing approaches. We focus on the most recent developments in lineage tracing, permitted by advances in single-cell genomics. Finally, we explore the current potential to leverage these new technologies to synthesize high-resolution fate maps and discuss their potential for interrogating development at new depths.
谱系追踪和命运图谱，这两个领域虽然重叠，但在研究细胞及其后代方面却各有侧重，它们在过去的一个世纪里迅速发展。谱系追踪旨在识别单个细胞产生的所有后代，并将它们置于谱系层次结构中。最近出现的单细胞和空间转录组学等基因组技术，为以高分辨率重建谱系关系提供了复杂的新方法。相比之下，命运图谱——显示胚胎的哪些部分将发育成哪些组织的示意图——自 20 世纪 70 年代以来一直相对稳定。然而，命运图谱提供了空间信息，这些信息通常在谱系重建中丢失，这可以为发育提供基本的机制见解。在这里，我们广泛回顾了命运图谱和谱系追踪方法的起源。我们专注于最近在单细胞基因组学进步允许下的谱系追踪的最新发展。最后，我们探讨了利用这些新技术合成高分辨率命运图谱的当前潜力，并讨论了它们在以新深度研究发育方面的潜力。
