Multiplex Detection of Gene Expression in the Intact Drosophila Brain Using Expansion-Assisted Iterative Fluorescence In Situ Hybridization.

IF 1.2 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES
Kari Close, Yisheng He, Jennifer Jeter, Gudrun Ihrke, Mark Eddison
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引用次数: 0

Abstract

Understanding gene expression is essential for deciphering cellular functions. However, methods for analyzing the expression of numerous genes in situ within a given tissue remain limited. The EASI-FISH protocol described here has been adapted to detect the expression of dozens of genes in the intact adult Drosophila central nervous system (CNS) using commercially available reagents. This protocol includes a new gel formulation that enhances gel robustness, enabling multiple rounds of hybridization and allowing the embedding of multiple brains per gel. This improvement increases throughput, facilitates optimal comparison of experimental conditions, and reduces reagent costs. Additionally, by employing the GAL4-UAS system for co-detection of green fluorescent protein (GFP), gene expression can be visualized in specific neuronal or glial cell types. Notably, the high resolution achieved through expansion microscopy, combined with the sensitivity of the method, allows for the detection of single RNA transcripts. This approach effectively integrates high image quality with high throughput, making it a powerful tool for studying gene expression throughout the intact fly brain.

利用扩展辅助迭代荧光原位杂交技术对完整果蝇大脑中基因表达的多重检测。
了解基因表达对于破译细胞功能至关重要。然而,在给定组织中分析大量基因原位表达的方法仍然有限。本文描述的EASI-FISH方案已适用于使用市售试剂检测完整成年果蝇中枢神经系统(CNS)中数十种基因的表达。该方案包括一种新的凝胶配方,增强了凝胶的鲁棒性,实现了多轮杂交,并允许每个凝胶嵌入多个大脑。这种改进提高了吞吐量,促进了实验条件的最佳比较,并降低了试剂成本。此外,通过使用GAL4-UAS系统共同检测绿色荧光蛋白(GFP),可以在特定的神经元或胶质细胞类型中可视化基因表达。值得注意的是,通过扩增显微镜获得的高分辨率,结合该方法的灵敏度,允许检测单个RNA转录物。该方法有效地将高图像质量与高通量相结合,使其成为研究完整果蝇大脑中基因表达的有力工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Jove-Journal of Visualized Experiments
Jove-Journal of Visualized Experiments MULTIDISCIPLINARY SCIENCES-
CiteScore
2.10
自引率
0.00%
发文量
992
期刊介绍: JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.
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