高通量电生理使用全自动,多路记录系统

J. D. Trumbull, E. Maslana, D. Mckenna, Thomas A. Nemcek, W. Niforatos, Jeffrey Y. Pan, A. Parihar, C. Shieh, Julie A. Wilkins, C. Briggs, D. Bertrand
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引用次数: 21

摘要

药物发现过程的中心是发现和优化在治疗靶点上有活性的新化合物。这个过程包括直接和间接测量化合物如何影响目标的行为。必须测试的化合物的绝对数量对离子通道目标的类别提出了问题,这些目标的直接功能测量(例如,传统的贴片夹紧)过于繁琐,间接测量(例如,Ca(2+)敏感染料)缺乏足够的灵敏度或需要不可接受的妥协。我们提出了一种优化的方法,利用自动卵母细胞处理、高效灵活的液体输送、并行操作和强大的集成数据分析,从非洲爪蟾卵母细胞中获得大量直接电生理测量(双电极电压钳)。这些改进产生了显著的影响,增加了电生理学在优化先导化合物系列和发现新化合物方面的贡献。详细介绍了系统的设计,并提供了支持潜在客户优化和发现的数据示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Throughput Electrophysiology Using a Fully Automated, Multiplexed Recording System
The drug discovery process centers around finding and optimizing novel compounds active at therapeutic targets. This process involves direct and indirect measures of how compounds affect the behavior of the target in question. The sheer number of compounds that must be tested poses problems for classes of ion channel targets for which direct functional measurements (e.g., traditional patch-clamping) are too cumbersome and indirect measurements (e.g., Ca(2+)-sensitive dyes) lack sufficient sensitivity or require unacceptable compromises. We present an optimized process for obtaining large numbers of direct electrophysiological measurements (two-electrode voltage-clamp) from Xenopus oocytes using a combination of automated oocyte handling, efficient and flexible liquid delivery, parallel operation, and powerful integrated data analysis. These improvements have had a marked impact, increasing the contribution electrophysiology makes in optimizing lead compound series and the discovery of new ones. The design of the system is detailed along with examples of data generated in support of lead optimization and discovery.
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