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首页> 外文期刊>Journal of Physics, D. Applied Physics: A Europhysics Journal >Developmental switching in Physarum polycephalum: Petri net analysis of single cell trajectories of gene expression indicates responsiveness and genetic plasticity of the Waddington quasipotential landscape
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Developmental switching in Physarum polycephalum: Petri net analysis of single cell trajectories of gene expression indicates responsiveness and genetic plasticity of the Waddington quasipotential landscape

机译:Physarum Polycephalum的发育切换:基因表达单细胞轨迹的Petri净分析表明Waddington Quasipotential景观的响应性和遗传可塑性

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摘要

The developmental switch to sporulation in Physarum polycephalum is a phytochrome-mediated far-red light-induced cell fate decision that synchronously encompasses the entire multinucleate plasmodial cell and is associated with extensive reprogramming of the transcriptome. By repeatedly taking samples of single cells after delivery of a light stimulus pulse, we analysed differential gene expression in two mutant strains and in a heterokaryon of the two strains all of which display a different propensity for making the cell fate decision. Multidimensional scaling of the gene expression data revealed individually different single cell trajectories eventually leading to sporulation. Characterization of the trajectories as walks through states of gene expression discretized by hierarchical clustering allowed the reconstruction of Petri nets that model and predict the observed behavior. Structural analyses of the Petri nets indicated stimulus- and genotype-dependence of both, single cell trajectories and of the quasipotential landscape through which these trajectories are taken. The Petri net-based approach to the analysis and decomposition of complex cellular responses and of complex mutant phenotypes may provide a scaffold for the data-driven reconstruction of causal molecular mechanisms that shape the topology of the quasipotential landscape.
机译:对Phy Polycephalum的发育开发开关是一种植物介导的远红光诱导的细胞命运决策,其同步地包围整个多核疟原虫细胞,并且与转录组的广泛重编程相关。通过在递送光刺激脉冲后反复采用单细胞样品,我们分析了两个突变菌株中的差异基因表达,并在两个菌株的异质酮中显示出不同的倾向,用于制造细胞命运决定。基因表达数据的多维缩放揭示了单独的单细胞轨迹最终导致孢子。通过分层聚类离散化的基因表达状态的轨迹表征轨迹允许重建培养网的模型和预测观察到的行为。 Petri网的结构分析表明刺激和基因型依赖,单细胞轨迹和Quasipotential横向所采用,这些轨迹所采用。复杂细胞反应和复杂突变表型的分析和分解的培养基的基于方法可以为塑造Quasipotence横向拓扑的因果分子机制提供数据驱动重建的支架。

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