A multimodal zebrafish developmental atlas reveals the state-transition dynamics of late-vertebrate pluripotent axial progenitors

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2024-10-24 DOI:10.1016/j.cell.2024.09.047
Merlin Lange, Alejandro Granados, Shruthi VijayKumar, Jordão Bragantini, Sarah Ancheta, Yang-Joon Kim, Sreejith Santhosh, Michael Borja, Hirofumi Kobayashi, Erin McGeever, Ahmet Can Solak, Bin Yang, Xiang Zhao, Yang Liu, Angela M. Detweiler, Sheryl Paul, Ilan Theodoro, Honey Mekonen, Chris Charlton, Tiger Lao, Loïc A. Royer
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Abstract

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.

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多模态斑马鱼发育图谱揭示了晚期脊椎动物多能轴突祖细胞的状态转换动力学
阐明生物体的发育过程需要全面了解细胞系的空间、时间和分子领域。在这项研究中,我们介绍了斑马鱼胚胎发育动态图谱 Zebrahub,该图谱将单细胞测序时程数据与光片显微镜帮助下的系谱重建结合在一起。该图集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,为斑马鱼的发育提供了高分辨率和深入的分子洞察。Zebrahub 还集成了一个交互式工具,用于浏览从光片显微镜数据中获得的复杂细胞流和细胞系,从而实现硅命运图谱实验。为了展示我们多模态资源的多功能性,我们利用 Zebrahub 对神经-中胚层祖细胞(NMPs)的多能性和肾脏-血管母细胞联合祖细胞群的起源提供了新的见解。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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