Development and validation of a higher throughput screening approach to genotoxicity testing using the GADD45a-GFP GreenScreen HC assay.

Q2 Chemistry
Andrew W Knight, Louise Birrell, Richard M Walmsley
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引用次数: 27

Abstract

There is a pressing need to develop rapid yet accurate screening assays for the identification of genotoxic liability and for early hazard assessment in drug discovery. The GADD45a-GFP human cell-based genotoxicity assay (GreenScreen HC) has been reformatted to test 12 compounds per 96-well microplate in a higher throughput, automated screening mode and the protocol applied to the analysis of 1266 diverse, pharmacologically active compounds. Testing from a fixed starting concentration of 100 AmicroM and over 3 serial dilutions, the hit rates for genotoxicity (7.3%) and cytotoxicity (33%) endpoints of the assay have been determined in a much wider chemical space than previously reported. The degree of interference from color, autofluorescence, and low solubility has also been assessed. The assay results have been compared to an in silico approach to genotoxicity assessment using Derek for Windows software. Where carcinogenicity data were available, GreenScreen HC demonstrated a higher specificity than in silico methods while identifying genotoxic species that were not highlighted for genotoxic liability in structure-activity relationship software. Higher throughput screening from a fixed, low concentration reduces sensitivity to less potent genotoxins, but the maintenance of the previously reported high specificity is essential in early hazard assessment where misclassification can lead to the needless rejection of potentially useful compounds in drug development.

利用 GADD45a-GFP GreenScreen HC 检测法,开发并验证了基因毒性检测的高通量筛选方法。
在药物发现过程中,迫切需要开发快速而准确的筛选测定方法,用于鉴定基因毒性责任和早期危害评估。基于 GADD45a-GFP 的人体细胞基因毒性检测方法(GreenScreen HC)经过重新设计,以更高通量的自动筛选模式对每个 96 孔微孔板中的 12 种化合物进行检测,并将该方案应用于分析 1266 种不同的药理活性化合物。测试从 100 AmicroM 的固定起始浓度开始,经过 3 次连续稀释,在比以前报告的化学空间更广的范围内确定了该测定的遗传毒性(7.3%)和细胞毒性(33%)终点的命中率。此外,还评估了颜色、自发荧光和低溶解度的干扰程度。化验结果已与使用 Derek for Windows 软件进行遗传毒性评估的硅学方法进行了比较。在有致癌数据的情况下,GreenScreen HC 的特异性高于硅学方法,同时还能识别在结构-活性关系软件中未突出显示的基因毒性物种。从固定的低浓度开始进行高通量筛选会降低对低效基因毒性的敏感性,但保持之前报告的高特异性对于早期危害评估至关重要,因为在早期危害评估中,错误分类可能导致在药物开发过程中不必要地拒绝潜在有用的化合物。
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
Journal of Biomolecular Screening
Journal of Biomolecular Screening 生物-分析化学
CiteScore
2.41
自引率
0.00%
发文量
0
审稿时长
4-8 weeks
期刊介绍: Advancing the Science of Drug Discovery: SLAS Discovery reports how scientists develop and utilize novel technologies and/or approaches to provide and characterize chemical and biological tools to understand and treat human disease. SLAS Discovery is a peer-reviewed journal that publishes scientific reports that enable and improve target validation, evaluate current drug discovery technologies, provide novel research tools, and incorporate research approaches that enhance depth of knowledge and drug discovery success. SLAS Discovery emphasizes scientific and technical advances in target identification/validation (including chemical probes, RNA silencing, gene editing technologies); biomarker discovery; assay development; virtual, medium- or high-throughput screening (biochemical and biological, biophysical, phenotypic, toxicological, ADME); lead generation/optimization; chemical biology; and informatics (data analysis, image analysis, statistics, bio- and chemo-informatics). Review articles on target biology, new paradigms in drug discovery and advances in drug discovery technologies. SLAS Discovery is of particular interest to those involved in analytical chemistry, applied microbiology, automation, biochemistry, bioengineering, biomedical optics, biotechnology, bioinformatics, cell biology, DNA science and technology, genetics, information technology, medicinal chemistry, molecular biology, natural products chemistry, organic chemistry, pharmacology, spectroscopy, and toxicology.
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