Suppr超能文献

利用家蚕大脑中的GAL4/UAS系统对神经分泌细胞进行绿色荧光蛋白标记,可实现对神经元的选择性细胞内染色。

GFP labeling of neurosecretory cells with the GAL4/UAS system in the silkmoth brain enables selective intracellular staining of neurons.

作者信息

Yamagata Tomoko, Sakurai Takeshi, Uchino Keiro, Sezutsu Hideki, Tamura Toshiki, Kanzaki Ryohei

机构信息

Research Center for Advanced Science and Technology, University of Tokyo, Tokyo, Japan.

出版信息

Zoolog Sci. 2008 May;25(5):509-16. doi: 10.2108/zsj.25.509.

Abstract

The microbrain of the silkmoth, Bombyx mori, is a model system for analyzing the neural mechanisms underlying stimulus-driven behavior, and numerous studies using physiological and morphological methods have accumulated. However, one of the limitations of this system is a lack of methodology for labeling specific subsets of neurons. Targeted gene expression with the GAL4/UAS system, which was recently developed, may overcome this disadvantage. To test the GAL4/UAS system in the silkmoth brain, we generated two GAL4 driver lines in which GAL4 expression was under the control of either the bombyxin or prothoracicotropic hormone (PTTH) promoter. Crosses of moths from these lines with a UAS-GFP line showed that green fluorescent protein (GFP) was exclusively expressed in bombyxin or PTTH neurosecretory brain cells. Using these lines, we developed a visually guided method to selectively insert an electrode into and intracellulary stain GFP-expressing cells using fluorescence as a landmark. This work provides a novel method to visualize specific subsets of neurons in the silkmoth brain and to observe detailed structures in a single identified neuron from different individuals.

摘要

家蚕的微脑是用于分析刺激驱动行为背后神经机制的模型系统,并且已经积累了许多使用生理学和形态学方法的研究。然而,该系统的局限性之一是缺乏标记特定神经元亚群的方法。最近开发的GAL4/UAS系统进行的靶向基因表达可能会克服这一缺点。为了在家蚕大脑中测试GAL4/UAS系统,我们生成了两个GAL4驱动系,其中GAL4的表达受家蚕素或促前胸腺激素(PTTH)启动子的控制。来自这些品系的蛾子与UAS-GFP品系杂交表明,绿色荧光蛋白(GFP)仅在家蚕素或PTTH神经分泌脑细胞中表达。利用这些品系,我们开发了一种视觉引导方法,以荧光为标记,选择性地将电极插入并对表达GFP的细胞进行细胞内染色。这项工作提供了一种新方法,可在家蚕大脑中可视化特定的神经元亚群,并观察来自不同个体的单个已识别神经元的详细结构。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验