植物细胞内质网网络流的出现和稳定性。

IF 1.9 4区 数学 Q2 BIOLOGY
Graham M. Donovan , Congping Lin , Imogen Sparkes , Peter Ashwin
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引用次数: 0

摘要

内质网(ER)网络的几何结构非常复杂,动态性很强,并经历着广泛的重塑和大量流动。众所周知,内质网的动态是由肌动蛋白驱动的。ER 在细胞质中的运动会对细胞质产生作用力,从而引起流动。然而,ER 显然也会被大量的细胞质流被动地传送。我们将复杂的ER网络结构考虑在内,提出了一种肌球蛋白样马达、肌动蛋白排列和ER网络动力学之间的正反馈机制,以促进ER流动的出现。利用这个模型,我们证明了ER流可能是这种三向相互作用的一个新兴特征,而持久点密度可能是ER流出现的一个关键驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emergence and stability of endoplasmic reticulum network streaming in plant cells
The endoplasmic reticulum (ER) network is highly complex and highly dynamic in its geometry, and undergoes extensive remodeling and bulk flow. It is known that the ER dynamics are driven by actin–myosin dependent processes. ER motion through the cytoplasm will cause forces on the cytoplasm that will induce flow. However, ER will also clearly be passively transported by the bulk cytoplasmic streaming. We take the complex ER network structure into account and propose a positive-feedback mechanism among myosin-like motors, actin alignment, ER network dynamics for the emergence of ER flow. Using this model, we demonstrate that ER streaming may be an emergent feature of this three-way interaction and that the persistent-point density may be a key driver of the emergence of ER streaming.
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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