Science · 2018 · 955 citations · 46 references
Life SciencesCell BiologyDevelopmental BiologyCell Fate SpecificationEmbryogenesisTranscriptomicsCell Fate PlasticityCell-fate DynamicsDevelopmental Cell Fate SpecificationDevelopmental TranscriptomicsFish Developmental BiologyLineage ReconstructionBranch PointsCanalizationComputational Reconstruction AlgorithmsDevelopmental Cell Type DynamicsDevelopmental Trajectory ReconstructionEarly Developmental TrajectoriesSingle-cell Analysis Of EmbryosSingle-cell Transcriptomics Of Early Embryos
During embryogenesis, cells acquire distinct fates by transitioning through transcriptional states. To uncover these transcriptional trajectories during zebrafish embryogenesis, we sequenced 38,731 cells and developed URD, a simulated diffusion‑based computational reconstruction method. URD mapped 25 cell‑type trajectories through early somitogenesis, revealing spatial origins, canalized Nodal mutant transcriptomes, and trans‑specifying cells at branch points, thereby reconstructing vertebrate embryonic transcriptional pathways and demonstrating concurrent canalization and plasticity.
During embryogenesis, cells acquire distinct fates by transitioning through transcriptional states. To uncover these transcriptional trajectories during zebrafish embryogenesis, we sequenced 38,731 cells and developed URD, a simulated diffusion-based computational reconstruction method. URD identified the trajectories of 25 cell types through early somitogenesis, gene expression along them, and their spatial origin in the blastula. Analysis of Nodal signaling mutants revealed that their transcriptomes were canalized into a subset of wild-type transcriptional trajectories. Some wild-type developmental branch points contained cells that express genes characteristic of multiple fates. These cells appeared to trans-specify from one fate to another. These findings reconstruct the transcriptional trajectories of a vertebrate embryo, highlight the concurrent canalization and plasticity of embryonic specification, and provide a framework with which to reconstruct complex developmental trees from single-cell transcriptomes.
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