Suppr超能文献

自催化循环、放大与扩散:神经趋化作用中细胞极化的数学与计算模型

Autocatalytic loop, amplification and diffusion: a mathematical and computational model of cell polarization in neural chemotaxis.

作者信息

Causin Paola, Facchetti Giuseppe

机构信息

Department of Mathematics F Enriques, Università degli Studi di Milano, Milano, Italy.

出版信息

PLoS Comput Biol. 2009 Aug;5(8):e1000479. doi: 10.1371/journal.pcbi.1000479. Epub 2009 Aug 28.

Abstract

The chemotactic response of cells to graded fields of chemical cues is a complex process that requires the coordination of several intracellular activities. Fundamental steps to obtain a front vs. back differentiation in the cell are the localized distribution of internal molecules and the amplification of the external signal. The goal of this work is to develop a mathematical and computational model for the quantitative study of such phenomena in the context of axon chemotactic pathfinding in neural development. In order to perform turning decisions, axons develop front-back polarization in their distal structure, the growth cone. Starting from the recent experimental findings of the biased redistribution of receptors on the growth cone membrane, driven by the interaction with the cytoskeleton, we propose a model to investigate the significance of this process. Our main contribution is to quantitatively demonstrate that the autocatalytic loop involving receptors, cytoplasmic species and cytoskeleton is adequate to give rise to the chemotactic behavior of neural cells. We assess the fact that spatial bias in receptors is a precursory key event for chemotactic response, establishing the necessity of a tight link between upstream gradient sensing and downstream cytoskeleton dynamics. We analyze further crosslinked effects and, among others, the contribution to polarization of internal enzymatic reactions, which entail the production of molecules with a one-to-more factor. The model shows that the enzymatic efficiency of such reactions must overcome a threshold in order to give rise to a sufficient amplification, another fundamental precursory step for obtaining polarization. Eventually, we address the characteristic behavior of the attraction/repulsion of axons subjected to the same cue, providing a quantitative indicator of the parameters which more critically determine this nontrivial chemotactic response.

摘要

细胞对化学信号梯度场的趋化反应是一个复杂的过程,需要多种细胞内活动的协调。在细胞中实现前后分化的基本步骤是内部分子的局部化分布和外部信号的放大。这项工作的目标是建立一个数学和计算模型,用于在神经发育过程中轴突趋化性路径寻找的背景下对这类现象进行定量研究。为了做出转向决策,轴突在其远端结构生长锥中形成前后极化。从最近关于生长锥膜上受体受与细胞骨架相互作用驱动而发生偏向性重新分布的实验结果出发,我们提出一个模型来研究这一过程的意义。我们的主要贡献是定量证明涉及受体、细胞质成分和细胞骨架的自催化环足以引发神经细胞的趋化行为。我们评估了受体的空间偏向是趋化反应的一个先兆关键事件这一事实,确立了上游梯度感知与下游细胞骨架动力学之间紧密联系的必要性。我们进一步分析了交联效应,以及内部酶促反应对极化的贡献等,这些反应会产生具有一对一到多因子的分子。该模型表明,此类反应的酶促效率必须克服一个阈值才能产生足够的放大,这是获得极化的另一个基本先兆步骤。最终,我们研究了轴突在相同信号作用下的吸引/排斥特征行为,提供了更关键地决定这种非平凡趋化反应的参数的定量指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca06/2722090/a663d593c97b/pcbi.1000479.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验