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斑马鱼睡眠的大规模分析

Large-scale Analysis of Sleep in Zebrafish.

作者信息

Lee Daniel A, Oikonomou Grigorios, Prober David A

机构信息

Division of Biology and Biological Engineering, Tianqiao and Chrissy Chen Institute for Neuroscience, California Institute of Technology, Pasadena, California, United States of America.

出版信息

Bio Protoc. 2022 Feb 5;12(3):e4313. doi: 10.21769/BioProtoc.4313.

Abstract

Over the past decade, zebrafish have emerged as a powerful model for the study of vertebrate sleep and wake behaviors. Experimental evidence has demonstrated behavioral, anatomical, genetic, and pharmacological conservation of sleep between zebrafish and mammals, suggesting that discoveries in zebrafish can inform our understanding of mammalian sleep. Here, we describe a protocol for performing sleep behavioral experiments in larval zebrafish, using a high-throughput video tracking system. We explain how to set up a sleep behavioral experiment and provide guidelines on how to analyze the data. Using this protocol, a typical experiment can be completed in less than five days, and this method provides a scalable platform to perform genetic and pharmacological screens in a simple and cost-effective vertebrate model. By combining high-throughput behavioral assays with several advantageous features of zebrafish, this model system provides new opportunities to make discoveries that clarify the genetic and neurological mechanisms that regulate sleep.

摘要

在过去十年中,斑马鱼已成为研究脊椎动物睡眠和觉醒行为的强大模型。实验证据表明,斑马鱼和哺乳动物在睡眠的行为、解剖学、遗传学和药理学方面具有保守性,这表明在斑马鱼身上的发现可以增进我们对哺乳动物睡眠的理解。在这里,我们描述了一种使用高通量视频跟踪系统在斑马鱼幼体中进行睡眠行为实验的方案。我们解释了如何设置睡眠行为实验,并提供了数据分析指南。使用该方案,一个典型的实验可以在不到五天的时间内完成,并且该方法提供了一个可扩展的平台,用于在一个简单且经济高效的脊椎动物模型中进行遗传和药理学筛选。通过将高通量行为分析与斑马鱼的几个优势特征相结合,这个模型系统提供了新的机会来发现阐明调节睡眠的遗传和神经机制。

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Large-scale Analysis of Sleep in Zebrafish.斑马鱼睡眠的大规模分析
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