Department of Biological Sciences, Centre for Bioimaging Sciences, Mechanobiology Institute, National University of Singapore, Singapore.
Department of Biological Sciences, Centre for Bioimaging Sciences, Mechanobiology Institute, National University of Singapore, Singapore
Philos Trans R Soc Lond B Biol Sci. 2018 May 26;373(1747). doi: 10.1098/rstb.2017.0116.
Emergence of dynamic patterns in the form of oscillations and waves on the cortex of single cells is a fascinating and enigmatic phenomenon. Here we outline various theoretical frameworks used to model pattern formation with the goal of reducing complex, heterogeneous patterns into key parameters that are biologically tractable. We also review progress made in recent years on the quantitative and molecular definitions of these terms, which we believe have begun to transform single-cell dynamic patterns from a purely observational and descriptive subject to more mechanistic studies. Specifically, we focus on the nature of local excitable and oscillation events, their spatial couplings leading to propagating waves and the role of active membrane. Instead of arguing for their functional importance, we prefer to consider such patterns as basic properties of dynamic systems. We discuss how knowledge of these patterns could be used to dissect the structure of cellular organization and how the network-centric view could help define cellular functions as transitions between different dynamical states. Last, we speculate on how these patterns could encode temporal and spatial information.This article is part of the theme issue 'Self-organization in cell biology'.
单个细胞皮层上以振荡和波形式出现的动态模式的出现是一种迷人而神秘的现象。在这里，我们概述了用于模型模式形成的各种理论框架，目的是将复杂、异质的模式简化为具有生物学可操作性的关键参数。我们还回顾了近年来在这些术语的定量和分子定义方面取得的进展，我们相信这些进展已经开始将单细胞动态模式从纯粹的观察和描述性学科转变为更具机制性的研究。具体来说，我们专注于局部兴奋和振荡事件的性质、导致传播波的空间耦合以及主动膜的作用。我们不主张它们的功能重要性，而是宁愿将这些模式视为动态系统的基本属性。我们讨论了如何利用这些模式来剖析细胞组织的结构，以及网络中心视图如何帮助将细胞功能定义为不同动态状态之间的转变。最后，我们推测这些模式如何编码时间和空间信息。本文是“细胞生物学中的自组织”专题的一部分。
