McGuinness R P, Proctor J M, Gallant D L, van Staden C J, Ly J T, Tang F L, Lee P H
MDS Analytical Technologies, Sunnyvale, CA 94089, USA.
Comb Chem High Throughput Screen. 2009 Sep;12(8):812-23. doi: 10.2174/138620709789104861. Epub 2009 Sep 1.
Drug discovery efforts advance in step with advancements in assay technologies, as new technologies provide new lenses through which biology can be viewed. The novel information gathered results in the better understanding of drug-target interactions leading to better decision making during the drug discovery process. One area of rapid development is within label-free technologies. Label-free technologies offer many distinct advantages to the drug discovery workflow. One such novel technology is the CellKey System, an impedance-based label-free live cell assay platform. The system is based on impedance technology and is a universal platform for the functional measurement of all classes of G-protein coupled receptors (GPCRs). Data are generated in a kinetic fashion on both endogenously expressed and transfected receptors in a wide variety of cell types. In the studies detailed here, we used the system to perform an enhanced selectivity screen of a small panel of compounds simultaneously against two unrelated GPCR targets signaling through different pathways. Utilizing both the quantitative measures of cellular activation and the qualitative information inherent in the rich output data, we gained knowledge not only about the relative selectivity of each compound across both targets, but also about the character of the interaction of each with the cellular target. In this manner, we successfully demonstrated proof of principal for using an impedance-based technology to perform selectivity analyses and to triage lead compounds in a simplified format.
药物研发工作与检测技术的进步同步推进,因为新技术提供了观察生物学的新视角。收集到的新信息有助于更好地理解药物与靶点的相互作用,从而在药物研发过程中做出更优决策。快速发展的一个领域是无标记技术。无标记技术为药物研发工作流程带来了许多独特优势。一种这样的新技术是CellKey系统,它是基于阻抗的无标记活细胞检测平台。该系统基于阻抗技术,是用于各类G蛋白偶联受体(GPCR)功能测量的通用平台。数据以动力学方式在多种细胞类型中内源性表达和转染的受体上生成。在本文详细介绍的研究中,我们使用该系统对一小批化合物同时针对两个通过不同途径信号传导的不相关GPCR靶点进行增强选择性筛选。利用细胞激活的定量测量以及丰富输出数据中固有的定性信息,我们不仅了解了每种化合物对两个靶点的相对选择性,还了解了每种化合物与细胞靶点相互作用的特性。通过这种方式,我们成功地证明了使用基于阻抗的技术以简化形式进行选择性分析和筛选先导化合物的原理。