Bee Weilin Tiger, Xie Wensheng, Truong Maggie, Will Matthew, Turunen Brandon, Zuercher William J, McMillan Lynette, Li Hu, Hornberger Keith R, Davenport Elizabeth A, Ames Robert S, Kallal Lorena A
Department of Biological Reagents and Assay Development, Molecular Discovery Research, GlaxoSmithKline, Collegeville, PA 19426-0989, USA.
J Biomol Screen. 2012 Aug;17(7):900-11. doi: 10.1177/1087057112447872. Epub 2012 May 29.
In this study, the development of an image-based high-content screening (HCS) binding assay for the seven-transmembrane (7TM) receptor Smoothened (Smo) is described. Using BacMam-based gene delivery of Smo, BODIPY-cyclopamine as a fluorescent probe, and a confocal imaging system, a robust 384-well assay that could be used for high-throughput compound profiling activities was developed. The statistically robust HCS binding assay was developed through optimization of multiple parameters, including cell transduction conditions, Smo expression levels, the image analysis algorithm, and staining procedures. Evaluation of structurally diverse compounds, including functional Smo activators, inhibitors, and related analogs, demonstrated good compound potency correlations between high-content imaging binding, membrane fluorescence polarization binding, and gene reporter assays. Statistical analysis of data from a screening test set of compounds at a single 10-µM concentration suggested that the high-content imaging Smo binding assay is amenable for use in hit identification. The 384-well HCS assay was rapidly developed and met statistical assay performance targets, thus demonstrating its utility as a fluorescent whole-cell binding assay suitable for compound screening and profiling.
在本研究中,描述了一种基于图像的七跨膜(7TM)受体平滑肌瘤(Smo)的高内涵筛选(HCS)结合测定法的开发。利用基于杆状病毒载体的Smo基因递送、BODIPY-环杷明作为荧光探针以及共聚焦成像系统,开发了一种可用于高通量化合物分析活动的稳健的384孔测定法。通过优化多个参数,包括细胞转导条件、Smo表达水平、图像分析算法和染色程序,开发了具有统计学稳健性的HCS结合测定法。对结构多样的化合物进行评估,包括功能性Smo激活剂、抑制剂和相关类似物,结果表明高内涵成像结合、膜荧光偏振结合和基因报告测定之间具有良好的化合物效价相关性。对单一10 μM浓度的化合物筛选测试集数据进行统计分析表明,高内涵成像Smo结合测定法适用于命中化合物的鉴定。384孔HCS测定法迅速开发并达到了统计测定性能目标,从而证明了其作为适用于化合物筛选和分析的荧光全细胞结合测定法的实用性。