Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Department of Cellular Biology and Anatomy, Augusta University, Augusta, Georgia, USA.
Nat Protoc. 2016 Dec;11(12):2432-2453. doi: 10.1038/nprot.2016.142. Epub 2016 Nov 10.
The zebrafish has emerged as an important model for whole-organism small-molecule screening. However, most zebrafish-based chemical screens have achieved only mid-throughput rates. Here we describe a versatile whole-organism drug discovery platform that can achieve true high-throughput screening (HTS) capacities. This system combines our automated reporter quantification in vivo (ARQiv) system with customized robotics, and is termed 'ARQiv-HTS'. We detail the process of establishing and implementing ARQiv-HTS: (i) assay design and optimization, (ii) calculation of sample size and hit criteria, (iii) large-scale egg production, (iv) automated compound titration, (v) dispensing of embryos into microtiter plates, and (vi) reporter quantification. We also outline what we see as best practice strategies for leveraging the power of ARQiv-HTS for zebrafish-based drug discovery, and address technical challenges of applying zebrafish to large-scale chemical screens. Finally, we provide a detailed protocol for a recently completed inaugural ARQiv-HTS effort, which involved the identification of compounds that elevate insulin reporter activity. Compounds that increased the number of insulin-producing pancreatic beta cells represent potential new therapeutics for diabetic patients. For this effort, individual screening sessions took 1 week to conclude, and sessions were performed iteratively approximately every other day to increase throughput. At the conclusion of the screen, more than a half million drug-treated larvae had been evaluated. Beyond this initial example, however, the ARQiv-HTS platform is adaptable to almost any reporter-based assay designed to evaluate the effects of chemical compounds in living small-animal models. ARQiv-HTS thus enables large-scale whole-organism drug discovery for a variety of model species and from numerous disease-oriented perspectives.
斑马鱼已成为用于整体生物小分子筛选的重要模型。然而,大多数基于斑马鱼的化学筛选仅达到中通量速率。在这里,我们描述了一种通用的全生物体药物发现平台,可以实现真正的高通量筛选(HTS)能力。该系统将我们的自动化体内报告物定量(ARQiv)系统与定制的机器人技术相结合,称为“ARQiv-HTS”。我们详细介绍了建立和实施 ARQiv-HTS 的过程:(i)测定设计和优化,(ii)样本量和命中标准的计算,(iii)大规模卵生产,(iv)自动化化合物滴定,(v)将胚胎分配到微量滴定板中,以及(vi)报告物定量。我们还概述了利用 ARQiv-HTS 进行基于斑马鱼的药物发现的最佳实践策略,并解决了将斑马鱼应用于大规模化学筛选的技术挑战。最后,我们提供了最近完成的首次 ARQiv-HTS 工作的详细方案,该工作涉及鉴定可提高胰岛素报告物活性的化合物。增加产生胰岛素的胰腺β细胞数量的化合物代表了糖尿病患者的潜在新疗法。对于这项工作,每个筛选会议需要 1 周的时间才能完成,并且每隔一天左右就会进行迭代,以提高通量。在筛选结束时,已经评估了超过 50 万种药物处理过的幼虫。除了这个初始示例之外,ARQiv-HTS 平台还可以适应几乎任何旨在评估化学化合物对活体小动物模型影响的基于报告物的测定。因此,ARQiv-HTS 可以实现各种模型物种和来自多种疾病方向的大规模全生物体药物发现。