A Genetic Toolkit for Simultaneous Generation of LexA- and QF-Expressing Clones in Selected Cell Types in Drosophila.

IF 2.6 Q2 NEUROSCIENCES Neuroscience Insights Pub Date : 2022-01-24 eCollection Date: 2022-01-01 DOI:10.1177/26331055211069939
Kota Banzai, Ping Shen, Daichi Kamiyama
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Abstract

Visualization and manipulation of defined motoneurons have provided significant insights into how motor circuits are assembled in Drosophila. A conventional approach for molecular and cellular analyses of subsets of motoneurons involves the expression of a wide range of UAS transgenes using available GAL4 drivers (eg, eve promoter-fused GAL4). However, a more powerful toolkit could be one that enables a single-cell characterization of interactions between neurites from neurons of interest. Here we show the development of a UAS > LexA > QF expression system to generate randomly selected neurons expressing one of the 2 binary expression systems. As a demonstration, we apply it to visualize dendrite-dendrite interactions by genetically labeling eve + neurons with distinct fluorescent reporters.

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在果蝇选定细胞类型中同时产生表达LexA和qf的克隆的遗传工具包。
对已定义运动神经元的可视化和操作为了解果蝇运动回路的组装方式提供了重要的见解。运动神经元亚群分子和细胞分析的传统方法涉及使用可用的GAL4驱动因子(例如,eve启动子融合的GAL4)表达广泛的UAS转基因。然而,一个更强大的工具包可能是能够对感兴趣的神经元的神经突之间的相互作用进行单细胞表征的工具。在这里,我们展示了一个UAS > LexA > QF表达系统的发展,以产生随机选择的神经元,表达两种二进制表达系统中的一种。作为演示,我们将其应用于可视化树突-树突相互作用,通过基因标记具有不同荧光报告的eve +神经元。
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来源期刊
Neuroscience Insights
Neuroscience Insights Neuroscience-Neuroscience (all)
CiteScore
6.10
自引率
0.00%
发文量
24
审稿时长
9 weeks
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