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肌球蛋白马达的空间分布精确预测了全球形态发生流。

Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors.

机构信息

Kavli Institute of Theoretical Physics, University of California, Santa Barbara, United States.

Department of Physics, University of California, Santa Barbara, United States.

出版信息

Elife. 2018 Feb 9;7:e27454. doi: 10.7554/eLife.27454.

Abstract

During embryogenesis tissue layers undergo morphogenetic flow rearranging and folding into specific shapes. While developmental biology has identified key genes and local cellular processes, global coordination of tissue remodeling at the organ scale remains unclear. Here, we combine light-sheet microscopy of the embryo with quantitative analysis and physical modeling to relate cellular flow with the patterns of force generation during the gastrulation process. We find that the complex spatio-temporal flow pattern can be predicted from the measured meso-scale myosin density and anisotropy using a simple, effective viscous model of the tissue, achieving close to 90% accuracy with one time dependent and two constant parameters. Our analysis uncovers the importance of a) spatial modulation of myosin distribution on the scale of the embryo and b) the non-locality of its effect due to mechanical interaction of cells, demonstrating the need for the global perspective in the study of morphogenetic flow.

摘要

在胚胎发生过程中,组织层经历形态发生流的重新排列和折叠成特定的形状。虽然发育生物学已经确定了关键基因和局部细胞过程,但器官尺度上组织重塑的全局协调仍不清楚。在这里,我们结合胚胎的光片显微镜、定量分析和物理建模,将细胞流与原肠胚形成过程中力的产生模式联系起来。我们发现,复杂的时空流动模式可以从测量的中尺度肌球蛋白密度和各向异性使用组织的简单、有效的粘性模型来预测,使用一个时间相关和两个常数参数,实现接近 90%的准确性。我们的分析揭示了肌球蛋白分布在胚胎尺度上的空间调制的重要性,以及由于细胞的力学相互作用而导致的其效应的非局部性,证明了在形态发生流的研究中需要全局视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afd1/5843464/5b41cba5b458/elife-27454-fig1.jpg

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