Graduate Program in Neuroscience, University of Washington, Seattle, WA 98195, USA; Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA.
Center for the Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Department of Pharmacology, University of Washington, Seattle, WA 98195, USA.
Neuron. 2024 Aug 21;112(16):2721-2731.e5. doi: 10.1016/j.neuron.2024.05.026. Epub 2024 Jun 19.
The ventral tegmental area (VTA) is a critical node in circuits governing motivated behavior and is home to diverse populations of neurons that release dopamine, gamma-aminobutyric acid (GABA), glutamate, or combinations of these neurotransmitters. The VTA receives inputs from many brain regions, but a comprehensive understanding of input-specific activation of VTA neuronal subpopulations is lacking. To address this, we combined optogenetic stimulation of select VTA inputs with single-nucleus RNA sequencing (snRNA-seq) and highly multiplexed in situ hybridization to identify distinct neuronal clusters and characterize their spatial distribution and activation patterns. Quantification of immediate-early gene (IEG) expression revealed that different inputs activated select VTA subpopulations, which demonstrated cell-type-specific transcriptional programs. Within dopaminergic subpopulations, IEG induction levels correlated with differential expression of ion channel genes. This new transcriptomics-guided circuit analysis reveals the diversity of VTA activation driven by distinct inputs and provides a resource for future analysis of VTA cell types.
腹侧被盖区(VTA)是调节动机行为的关键节点,其中存在多种释放多巴胺、γ-氨基丁酸(GABA)、谷氨酸或这些神经递质组合的神经元群体。VTA 接收来自许多脑区的输入,但对 VTA 神经元亚群的特定输入激活的全面理解还很缺乏。为了解决这个问题,我们将特定 VTA 输入的光遗传学刺激与单细胞核 RNA 测序(snRNA-seq)和高度多重原位杂交相结合,以鉴定不同的神经元簇,并描述它们的空间分布和激活模式。即时早期基因(IEG)表达的定量分析表明,不同的输入激活了特定的 VTA 亚群,这些亚群表现出细胞类型特异性的转录程序。在多巴胺能亚群中,IEG 的诱导水平与离子通道基因的差异表达相关。这种新的基于转录组学的回路分析揭示了不同输入驱动的 VTA 激活的多样性,并为未来 VTA 细胞类型的分析提供了资源。