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多巴胺传递的时空尺度。

Spatial and temporal scales of dopamine transmission.

机构信息

Department of Neurobiology, Harvard Medical School, Boston, MA, USA.

出版信息

Nat Rev Neurosci. 2021 Jun;22(6):345-358. doi: 10.1038/s41583-021-00455-7. Epub 2021 Apr 9.

Abstract

Dopamine is a prototypical neuromodulator that controls circuit function through G protein-coupled receptor signalling. Neuromodulators are volume transmitters, with release followed by diffusion for widespread receptor activation on many target cells. Yet, we are only beginning to understand the specific organization of dopamine transmission in space and time. Although some roles of dopamine are mediated by slow and diffuse signalling, recent studies suggest that certain dopamine functions necessitate spatiotemporal precision. Here, we review the literature describing dopamine signalling in the striatum, including its release mechanisms and receptor organization. We then propose the domain-overlap model, in which release and receptors are arranged relative to one another in micrometre-scale structures. This architecture is different from both point-to-point synaptic transmission and the widespread organization that is often proposed for neuromodulation. It enables the activation of receptor subsets that are within micrometre-scale domains of release sites during baseline activity and broader receptor activation with domain overlap when firing is synchronized across dopamine neuron populations. This signalling structure, together with the properties of dopamine release, may explain how switches in firing modes support broad and dynamic roles for dopamine and may lead to distinct pathway modulation.

摘要

多巴胺是一种典型的神经调质,通过 G 蛋白偶联受体信号控制回路功能。神经调质是容积性递质,释放后扩散,广泛激活许多靶细胞上的受体。然而,我们才刚刚开始了解多巴胺在空间和时间上的特定传递方式。尽管多巴胺的某些作用是通过缓慢和弥散的信号传递介导的,但最近的研究表明,某些多巴胺功能需要时空精度。在这里,我们回顾了描述纹状体中多巴胺信号传递的文献,包括其释放机制和受体组织。然后,我们提出了域重叠模型,其中释放和受体相对于彼此排列在微米级结构中。这种结构不同于点对点突触传递和通常为神经调质提出的广泛组织。它使受体亚群在基线活动期间在释放位点的微米级域内被激活,并且在多巴胺神经元群体的放电同步时,通过域重叠实现更广泛的受体激活。这种信号结构以及多巴胺释放的特性可以解释为什么发射模式的转换支持多巴胺的广泛和动态作用,并可能导致不同的途径调节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db76/8220193/d6946eb2eb76/nihms-1706632-f0001.jpg

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