论文标题
神经发育中形态发生的力学:体内,体外和计算机
Mechanics of Morphogenesis in Neural Development: in vivo, in vitro, and in silico
论文作者
论文摘要
中枢神经系统中的形态发生引起了人们的关注,因为阐明形态发生的基本机制将阐明发展中枢神经系统的生理和病理生理学。中枢神经系统的形态发生是一个广泛的主题,其中包括重要的形态发生事件,例如神经肿瘤和皮质折叠。在这里,我们回顾了三种类型的方法,用于提高我们对中枢神经系统形态发生的理解:体内实验,器官(体外)和计算模型(在硅中)。体内实验用于探索细胞和组织水平的力学,并根据神经形态发生的作用来解释它们。人类脑器官的最新进展为研究形态发生和神经发生提供了新的机会,以补偿体内实验的局限性,因为器官模型能够在早期人类大脑发育过程中概括一些一些关键的神经形态发生过程。由于体内和体外研究的复杂性和成本,已经开发了多种计算模型,并用于解释大脑结构的形成和形态发生。我们在中枢神经系统的形态发生研究中审查和讨论这些方法的利弊及其用法。值得注意的是,仅这些方法都不足以揭示形态发生的生物物理机制,因此使用这些方法的组合呼吁跨学科方法来检验假设并对中枢神经系统的正常和异常发育产生新的见解。
Morphogenesis in the central nervous system has received intensive attention as elucidating fundamental mechanisms of morphogenesis will shed light on the physiology and pathophysiology of the developing central nervous system. Morphogenesis of the central nervous system is of a vast topic that includes important morphogenetic events such as neurulation and cortical folding. Here we review three types of methods used to improve our understanding of morphogenesis of the central nervous system: in vivo experiments, organoids (in vitro), and computational models (in silico). The in vivo experiments are used to explore cellular- and tissue-level mechanics and interpret them on the roles of neurulation morphogenesis. Recent advances in human brain organoids have provided new opportunities to study morphogenesis and neurogenesis to compensate for the limitations of in vivo experiments, as organoid models are able to recapitulate some critical neural morphogenetic processes during early human brain development. Due to the complexity and costs of in vivo and in vitro studies, a variety of computational models have been developed and used to explain the formation and morphogenesis of brain structures. We review and discuss the Pros and Cons of these methods and their usage in the studies on morphogenesis of the central nervous system. Notably, none of these methods alone is sufficient to unveil the biophysical mechanisms of morphogenesis, thus calling for the interdisciplinary approaches using a combination of these methods in order to test hypotheses and generate new insights on both normal and abnormal development of the central nervous system.