Chan Zuckerberg Biohub, San Francisco, CA, USA.
Chan Zuckerberg Biohub, San Francisco, CA, USA.
Cell. 2024 Nov 14;187(23):6742-6759.e17. doi: 10.1016/j.cell.2024.09.047. Epub 2024 Oct 24.
Elucidating organismal developmental processes requires a comprehensive understanding of cellular lineages in the spatial, temporal, and molecular domains. In this study, we introduce Zebrahub, a dynamic atlas of zebrafish embryonic development that integrates single-cell sequencing time course data with lineage reconstructions facilitated by light-sheet microscopy. This atlas offers high-resolution and in-depth molecular insights into zebrafish development, achieved through the sequencing of individual embryos across ten developmental stages, complemented by reconstructions of cellular trajectories. Zebrahub also incorporates an interactive tool to navigate the complex cellular flows and lineages derived from light-sheet microscopy data, enabling in silico fate-mapping experiments. To demonstrate the versatility of our multimodal resource, we utilize Zebrahub to provide fresh insights into the pluripotency of neuro-mesodermal progenitors (NMPs) and the origins of a joint kidney-hemangioblast progenitor population.
阐明生物发育过程需要全面了解细胞谱系在空间、时间和分子领域的情况。在这项研究中,我们介绍了 Zebrahub,这是一个斑马鱼胚胎发育的动态图谱,它将单细胞测序时间序列数据与通过光片显微镜实现的谱系重建相结合。通过对十个发育阶段的单个胚胎进行测序,并辅以细胞轨迹重建,该图谱提供了对斑马鱼发育的高分辨率和深入的分子见解。Zebrahub 还包含一个交互式工具,用于导航来自光片显微镜数据的复杂细胞流和谱系,从而实现虚拟命运映射实验。为了展示我们多模态资源的多功能性,我们利用 Zebrahub 提供了对神经中胚层祖细胞(NMPs)的多能性和联合肾-血球母细胞祖细胞群体起源的新见解。