Validation of a Medium-Throughput Electrophysiological Assay for KCNQ2/3 Channel Enhancers Using IonWorks HT

Author:

Jow Flora1,Ru Shen 1,Chanda Pranab1,Tseng Eugene1,Zhang Howard1,Kennedy Jeffrey1,Dunlop John1,Bowlby Mark R.2

Affiliation:

1. Discovery Neuroscience, Wyeth Research, Princeton, New Jersey

2. Discovery Neuroscience, Wyeth Research, Princeton, New Jersey,

Abstract

Enhancers of KCNQ channels are known to be effective in chronic pain models. To discover novel enhancers of KCNQ channels, the authors developed a medium-throughput electrophysiological assay by using the IonWorks platform. Screening of 20 CHO-K1 clones stably expressing KCNQ2/3 was performed on the IonWorks HT until the best clone (judged from seal rate, current level, and stability) was obtained. The KCNQ2/3 current amplitude in the cells was found to increase from 60 ± 15 pA to 473 ± 80 pA (at —10 mV), and the expression rate was increased by 56% when the cells were incubated at 27 °C overnight. The clone used for compound screening had a seal rate of greater than 90% and an overall success rate of greater than 70%. The voltage step protocol (hold cells at —80 mV and depolarize to —10 mV for 1 s) was designed to provide moderate current but still allow for pharmacological current enhancement. EC50s were generated from 8-point concentration-response curves with a control compound on each plate using compounds that were also tested with conventional patch clamp. The authors found that there was a very good correlation ( R2 > 0.9) between the 2 assays, thus demonstrating the highly predictive nature of the IonWorks assay. ( Journal of Biomolecular Screening 2007;1059-1067)

Publisher

Elsevier BV

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3