High-throughput measurement of Drosophila feeding behavior.

IF 4.5 Q1 BIOCHEMICAL RESEARCH METHODS
Cell Reports Methods Pub Date : 2025-08-18 Epub Date: 2025-07-18 DOI:10.1016/j.crmeth.2025.101109
Huai-Zheng Zheng, Shuo Song, Jing-Hao Tang, Hong-Shan Liu, Man Song, Zhen-Xia Chen
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引用次数: 0

Abstract

Accurate measurement of Drosophila feeding is vital for metabolic and aging studies, but current assays lack the throughput and sensitivity needed for large-scale screens. We introduce FlyPlate-BCA, a 96-well platform that combines automated single-fly tracking with BCA protein quantification for high-resolution, longitudinal intake measurements. FlyPlate-BCA detects a 0.1× nutrient dilution with 90% power using just four replicates, three times fewer than the capillary feeder (CAFE) assay. It uncovers sucrose-driven hyperphagia independent of osmotic stress and preserved lipid-satiety responses, while extended monitoring reveals a female-specific metabolic adaptation. By delivering individual-level data at scale, FlyPlate-BCA establishes a benchmark for nutritional genomics and appetite neurobiology and streamlines nutraceutical and genetic screening.

果蝇摄食行为的高通量测量。
果蝇摄食的精确测量对于代谢和衰老研究至关重要,但目前的分析缺乏大规模筛选所需的通量和灵敏度。我们推出了FlyPlate-BCA,这是一个96孔平台,将自动单蝇跟踪与BCA蛋白质定量相结合,可实现高分辨率纵向吸入测量。FlyPlate-BCA仅使用4次重复,以90%的倍率检测0.1倍的营养稀释,比毛细管喂料法(CAFE)少3倍。它揭示了蔗糖驱动的贪食独立于渗透应激和保存的脂质饱足反应,而扩展的监测揭示了女性特有的代谢适应。通过大规模提供个人水平的数据,FlyPlate-BCA建立了营养基因组学和食欲神经生物学的基准,并简化了营养和基因筛选。
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
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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