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助力药物研发:斑马鱼中的自动化高内涵炎症检测法

Facilitating drug discovery: an automated high-content inflammation assay in zebrafish.

作者信息

Wittmann Christine, Reischl Markus, Shah Asmi H, Mikut Ralf, Liebel Urban, Grabher Clemens

机构信息

Institute for Toxicology and Genetics, Karlsruhe Institute of Technology, Karlsruhe, Germany.

出版信息

J Vis Exp. 2012 Jul 16(65):e4203. doi: 10.3791/4203.

Abstract

Zebrafish larvae are particularly amenable to whole animal small molecule screens due to their small size and relative ease of manipulation and observation, as well as the fact that compounds can simply be added to the bathing water and are readily absorbed when administered in a <1% DMSO solution. Due to the optical clarity of zebrafish larvae and the availability of transgenic lines expressing fluorescent proteins in leukocytes, zebrafish offer the unique advantage of monitoring an acute inflammatory response in vivo. Consequently, utilizing the zebrafish for high-content small molecule screens aiming at the identification of immune-modulatory compounds with high throughput has been proposed, suggesting inflammation induction scenarios e.g. localized nicks in fin tissue, laser damage directed to the yolk surface of embryos or tailfin amputation. The major drawback of these methods however was the requirement of manual larva manipulation to induce wounding, thus preventing high-throughput screening. Introduction of the chemically induced inflammation (ChIn) assay eliminated these obstacles. Since wounding is inflicted chemically the number of embryos that can be treated simultaneously is virtually unlimited. Temporary treatment of zebrafish larvae with copper sulfate selectively induces cell death in hair cells of the lateral line system and results in rapid granulocyte recruitment to injured neuromasts. The inflammatory response can be followed in real-time by using compound transgenic cldnB::GFP/lysC::DsRED2 zebrafish larvae that express a green fluorescent protein in neuromast cells, as well as a red fluorescent protein labeling granulocytes. In order to devise a screening strategy that would allow both high-content and high-throughput analyses we introduced robotic liquid handling and combined automated microscopy with a custom developed software script. This script enables automated quantification of the inflammatory response by scoring the percent area occupied by red fluorescent leukocytes within an empirically defined area surrounding injured green fluorescent neuromasts. Furthermore, we automated data processing, handling, visualization, and storage all based on custom developed MATLAB and Python scripts. In brief, we introduce an automated HC/HT screen that allows testing of chemical compounds for their effect on initiation, progression or resolution of a granulocytic inflammatory response. This protocol serves a good starting point for more in-depth analyses of drug mechanisms and pathways involved in the orchestration of an innate immune response. In the future, it may help identifying intolerable toxic or off-target effects at earlier phases of drug discovery and thereby reduce procedural risks and costs for drug development.

摘要

斑马鱼幼体特别适合用于全动物小分子筛选,这是因为它们体型小,相对易于操作和观察,而且化合物只需添加到养殖水中,以<1%二甲基亚砜溶液给药时很容易被吸收。由于斑马鱼幼体具有光学透明性,且有在白细胞中表达荧光蛋白的转基因品系,斑马鱼在监测体内急性炎症反应方面具有独特优势。因此,有人提议利用斑马鱼进行高内涵小分子筛选,旨在高通量鉴定免疫调节化合物,提出了炎症诱导方案,例如鳍组织局部切口、针对胚胎卵黄表面的激光损伤或尾鳍截肢。然而,这些方法的主要缺点是需要人工操作幼体来诱导伤口,从而阻碍了高通量筛选。化学诱导炎症(ChIn)试验的引入消除了这些障碍。由于伤口是通过化学方式造成的,可同时处理的胚胎数量实际上是无限的。用硫酸铜对斑马鱼幼体进行短暂处理会选择性地诱导侧线系统毛细胞死亡,并导致粒细胞迅速募集到受损的神经丘。通过使用在神经丘细胞中表达绿色荧光蛋白以及用红色荧光蛋白标记粒细胞的复合转基因cldnB::GFP/lysC::DsRED2斑马鱼幼体,可以实时跟踪炎症反应。为了设计一种既能进行高内涵分析又能进行高通量分析的筛选策略,我们引入了机器人液体处理技术,并将自动显微镜与定制开发的软件脚本相结合。该脚本通过对受损绿色荧光神经丘周围经验定义区域内红色荧光白细胞所占面积百分比进行评分,实现对炎症反应的自动定量。此外,我们基于定制开发的MATLAB和Python脚本实现了数据处理、处理、可视化和存储的自动化。简而言之,我们介绍了一种自动化的高内涵/高通量筛选方法,可用于测试化合物对粒细胞炎症反应的起始、进展或消退的影响。该方案为更深入分析参与先天免疫反应调控的药物机制和途径提供了一个良好的起点。未来,它可能有助于在药物发现的早期阶段识别难以忍受的毒性或脱靶效应,从而降低药物开发的程序风险和成本。

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