Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
Nature. 2019 Jun;570(7759):77-82. doi: 10.1038/s41586-019-1184-5. Epub 2019 May 13.
Ontogeny describes the emergence of complex multicellular organisms from single totipotent cells. This field is particularly challenging in mammals, owing to the indeterminate relationship between self-renewal and differentiation, variation in progenitor field sizes, and internal gestation in these animals. Here we present a flexible, high-information, multi-channel molecular recorder with a single-cell readout and apply it as an evolving lineage tracer to assemble mouse cell-fate maps from fertilization through gastrulation. By combining lineage information with single-cell RNA sequencing profiles, we recapitulate canonical developmental relationships between different tissue types and reveal the nearly complete transcriptional convergence of endodermal cells of extra-embryonic and embryonic origins. Finally, we apply our cell-fate maps to estimate the number of embryonic progenitor cells and their degree of asymmetric partitioning during specification. Our approach enables massively parallel, high-resolution recording of lineage and other information in mammalian systems, which will facilitate the construction of a quantitative framework for understanding developmental processes.
个体发生描述了从单个全能细胞中出现复杂的多细胞生物体。由于自我更新和分化之间的不确定关系、祖细胞场大小的变化以及这些动物的内部妊娠,这个领域在哺乳动物中尤其具有挑战性。在这里,我们展示了一种灵活、高信息量、多通道的分子记录器,具有单细胞读出功能,并将其用作进化谱系示踪剂,从受精到原肠胚形成组装小鼠细胞命运图谱。通过将谱系信息与单细胞 RNA 测序图谱相结合,我们重现了不同组织类型之间的典型发育关系,并揭示了来自胚胎外和胚胎起源的内胚层细胞几乎完全的转录趋同。最后,我们将我们的细胞命运图谱应用于估计胚胎祖细胞的数量及其在特化过程中的不对称分配程度。我们的方法能够在哺乳动物系统中大规模并行、高分辨率地记录谱系和其他信息,这将有助于构建理解发育过程的定量框架。