Spatial and temporal scales of dopamine transmission.
Spatial and temporal scales of dopamine transmission.
复制标题
多巴胺传递的时空尺度。
DOI：
10.1038/s41583-021-00455-7
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发表时间：
2021-06
期刊：
影响因子：
--
通讯作者：
Kaeser PS
中科院分区：
文献类型：
--
作者：
Liu C;Goel P;Kaeser PS
多巴胺是一种典型的神经调节剂，通过g蛋白偶联受体信号控制神经回路功能。神经调节剂是一种体积递质，释放后扩散，在许多靶细胞上广泛激活受体，但我们才刚刚开始了解多巴胺在空间和时间上传递的具体组织。虽然多巴胺的一些作用是通过缓慢和弥漫性信号介导的，但最近的研究表明，多巴胺的某些功能需要时空精度。在此，我们回顾文献并建立一个新的多巴胺传递模型。我们关注纹状体中的多巴胺信号，并讨论释放机制和受体组织。然后，我们提出了区域重叠模型，其中释放和受体在微米尺度的结构中相对排列。这种结构不同于点对点突触传递或通常提出的神经调节的广泛组织。它可以激活基线活动期间靠近释放位点的受体亚群，并且当多巴胺神经元群同步放电时，这些微米级区域与更广泛的受体激活之间存在重叠。这种信号结构与多巴胺神经元的特性相匹配，解释了放电模式中的开关如何支持编码动力学，并可能导致不同的通路调制。
Dopamine is a prototypical neuromodulator for the control of circuit function through G-protein coupled receptor signaling. Neuromodulators are volume transmitters with release followed by diffusion for widespread receptor activation on many target cells, but we are only beginning to understand the specific organization of dopamine transmission in space and time. While some roles of dopamine are mediated by slow and diffuse signaling, recent studies suggest that certain dopamine functions necessitate spatiotemporal precision. Here, we review the literature and develop a new model for dopamine transmission. We focus on dopamine signaling in the striatum and discuss release mechanisms and receptor organization. We then propose the domain-overlap model, in which release and receptors are arranged relative to one another in micrometer-scale structures. This architecture is different from point-to-point synaptic transmission or the widespread organization often proposed for neuromodulation. It enables activation of receptor subsets that are close to release sites during baseline activity, and overlap between these micrometer-scale domains with broader receptor activation when firing is synchronized across dopamine neuron populations. This signaling structure is matched to the properties of dopamine neurons, explaining how switches in firing modes support coding dynamics and may lead to distinct pathway modulation.
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影响因子：
11.2
作者：
Beeler, Jeff A.;Cao, Zhen Fang Huang;Kheirbek, Mazen A.;Ding, Yunmin;Koranda, Jessica;Murakami, Mari;Kang, Un Jung;Zhuang, Xiaoxi
通讯作者：
Zhuang, Xiaoxi
影响因子：
64.8
作者：
Cui, Guohong;Jun, Sang Beom;Jin, Xin;Pham, Michael D.;Vogel, Steven S.;Lovinger, David M.;Costa, Rui M.
通讯作者：
Costa, Rui M.
影响因子：
7.3
作者：
BOWERY, B;ROTHWELL, LA;SEABROOK, GR
通讯作者：
SEABROOK, GR
DOI：
10.1523/jneurosci.4342-12.2013
发表时间：
2013-01-30
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Borisovska M;Bensen AL;Chong G;Westbrook GL
通讯作者：
Westbrook GL
影响因子：
2.7
作者：
Callier, S;Snapyan, M;Vernier, P
通讯作者：
Vernier, P