School of Life Sciences, Peking University, Beijing 100871, China; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Cell Rep. 2018 Apr 10;23(2):652-665. doi: 10.1016/j.celrep.2018.03.068.
The neuromodulator dopamine (DA) plays a key role in motor control, motivated behaviors, and higher-order cognitive processes. Dissecting how these DA neural networks tune the activity of local neural circuits to regulate behavior requires tools for manipulating small groups of DA neurons. To address this need, we assembled a genetic toolkit that allows for an exquisite level of control over the DA neural network in Drosophila. To further refine targeting of specific DA neurons, we also created reagents that allow for the conversion of any existing GAL4 line into Split GAL4 or GAL80 lines. We demonstrated how this toolkit can be used with recently developed computational methods to rapidly generate additional reagents for manipulating small subsets or individual DA neurons. Finally, we used the toolkit to reveal a dynamic interaction between a small subset of DA neurons and rearing conditions in a social space behavioral assay.
神经调质多巴胺（DA）在运动控制、动机行为和更高阶的认知过程中发挥着关键作用。剖析这些 DA 神经网络如何调节局部神经网络的活动以调节行为，需要用于操纵一小群 DA 神经元的工具。为了满足这一需求，我们组装了一个遗传工具包，使我们能够对果蝇中的 DA 神经网络进行精细的控制。为了进一步精确定位特定的 DA 神经元，我们还创建了能够将任何现有的 GAL4 系转化为 Split GAL4 或 GAL80 系的试剂。我们展示了如何使用这个工具包与最近开发的计算方法相结合，快速生成用于操纵小部分或单个 DA 神经元的额外试剂。最后，我们使用这个工具包在社交空间行为测定中揭示了一小部分 DA 神经元和饲养条件之间的动态相互作用。
