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非洲爪蟾的视网膜神经节细胞作为一种研究神经元连接建立的模式神经元。

The Xenopus retinal ganglion cell as a model neuron to study the establishment of neuronal connectivity.

机构信息

Department of Cell Biology and Anatomy, University of Calgary, Hotchkiss Brain Institute, Calgary, Alberta, Canada.

出版信息

Dev Neurobiol. 2012 Apr;72(4):520-36. doi: 10.1002/dneu.20928.

Abstract

Neurons receive inputs through their multiple branched dendrites and pass this information on to the next neuron via long axons, which branch within the target. The shape the neuron acquires is thus the key to its proper functioning in the neural circuit in which it participates. Both axons and dendrites grow in a directed fashion to their target partner neurons by responding to a large number of molecular cues in the milieu through which they extend. They then go through the process of synaptogenesis, first choosing a neuron on which to synapse, and then the appropriate subcellular location. How a neuron acquires its unique shape, establishes and modifies appropriate synaptic connectivity, and the molecular signals involved, are key questions in developmental neurobiology. Such questions of nervous system wiring are being pursued actively with a variety of different animal models and neuron types, each with its own unique advantages. Among these, the developing retinal ganglion cell (RGC) of the South African clawed frog, Xenopus laevis, has proven particularly fruitful for revealing the secrets of how axons and dendrites acquire their final morphology and connectivity. In this review, we describe how this system can be used to understand the multiple molecular events that instruct the incorporation of RGCs into the neural circuit that controls vision.

摘要

神经元通过其多个分支的树突接收输入,并通过长轴突将信息传递到下一个神经元,轴突在靶标内分支。因此,神经元获得的形状是其在参与的神经回路中正常功能的关键。轴突和树突通过对其延伸的环境中的大量分子线索做出反应,以定向的方式生长到其目标神经元伙伴。然后,它们经历突触形成过程,首先选择要形成突触的神经元,然后选择适当的亚细胞位置。神经元如何获得其独特的形状,建立和修饰适当的突触连接,以及涉及的分子信号,是发育神经生物学中的关键问题。这些神经系统布线的问题正在通过各种不同的动物模型和神经元类型积极研究,每种模型和类型都有其独特的优势。在这些模型和类型中,南非爪蟾(Xenopus laevis)的发育视网膜神经节细胞(RGC)已被证明对于揭示轴突和树突如何获得最终形态和连接性的秘密特别有成效。在这篇综述中,我们描述了如何利用这个系统来理解指导 RGC 纳入控制视觉的神经回路的多个分子事件。

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