Single Nigrostriatal Dopaminergic Neurons Form Widely Spread and Highly Dense Axonal Arborizations in the Neostriatum
Single Nigrostriatal Dopaminergic Neurons Form Widely Spread and Highly Dense Axonal Arborizations in the Neostriatum
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DOI：
10.1523/jneurosci.4029-08.2009
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发表时间：
2009-01-14
影响因子：
5.3
通讯作者：
Kaneko, Takeshi
中科院分区：
文献类型：
--
作者：
Matsuda, Wakoto;Furuta, Takahiro;Kaneko, Takeshi
用表达膜靶向绿色荧光蛋白的病毒载体在大鼠脑中观察单个黑质纹状体多巴胺能神经元的轴突主干。所有8个重建的酪氨酸羟化酶阳性多巴胺能神经元在新纹状体具有广泛分布和高度密集的轴突分支。除外侧苍白球有微小的树枝状突起外，所有的神经元在纹状体外均发出很小的轴突侧枝树枝状突起。每个重建的多巴胺能神经元的纹状体轴突丛覆盖新纹状体总体积的0.45-5.7%（平均值+/- SD = 2.7 +/- 1.5%）。此外，所有的多巴胺能神经元支配的纹状体和基质车厢的新纹状体，虽然每个神经元的树枝状倾向于有利于这些车厢之一。我们的研究结果表明，黑质的多巴胺能神经元可以广播多巴胺信号，并对大量的纹状体神经元产生强烈的影响。这种不同的信号应该是黑质纹状体系统在多巴胺为基础的学习功能的关键，并表明单个黑质神经元的神经变性可以影响纹状体中的多个神经元。因此，这些结果也将有助于了解帕金森病和相关综合征的临床病理学。
The axonal arbors of single nigrostriatal dopaminergic neurons were visualized with a viral vector expressing membrane-targeted green fluorescent protein in rat brain. All eight reconstructed tyrosine hydroxylase-positive dopaminergic neurons possessed widely spread and highly dense axonal arborizations in the neostriatum. All of them emitted very little axon collateral arborization outside of the striatum except for tiny arborization in the external pallidum. The striatal axonal bush of each reconstructed dopaminergic neuron covered 0.45-5.7% (mean +/- SD = 2.7 +/- 1.5%) of the total volume of the neostriatum. Furthermore, all the dopaminergic neurons innervated both striosome and matrix compartments of the neostriatum, although each neuron's arborization tended to favor one of these compartments. Our findings demonstrate that individual dopaminergic neurons of the substantia nigra can broadcast a dopamine signal and exert strong influence over a large number of striatal neurons. This divergent signaling should be a key to the function of the nigrostriatal system in dopamine-based learning and suggests that neurodegeneration of individual nigral neurons can affect multiple neurons in the striatum. Thus, these results would also contribute to understanding the clinicopathology of Parkinson's disease and related syndromes.