Literature DB >> 18078380

Cellular HTS assays for pharmacological characterization of Na(V)1.7 modulators.

Shephali Trivedi1, Kim Dekermendjian, Ronald Julien, Jian Huang, Per-Eric Lund, Johannes Krupp, Robert Kronqvist, Olof Larsson, Robert Bostwick.   

Abstract

Ion channels are challenging targets in the early phases of the drug discovery process, especially because of the lack of technologies available to screen large numbers of compounds in functionally relevant assays. The electrophysiological patch-clamp technique, which is the gold standard for studying ion channels, has low throughput and is not amenable to screening large numbers of compounds. However, for random high-throughput screening (HTS) of compounds against ion channel targets, a number of functional cellular assays have become available during the last few years. Here we use the sodium channel NaV1.7 stably expressed in human embryonic kidney 293 cells and compare three HTS assays-a Li flux atomic absorption spectroscopy (AAS) assay, a fluorescent imaging plate reader (FLIP, Molecular Devices, Sunnyvale, CA) membrane potential assay, and a fluorescence resonance energy transfer (FRET)-based membrane potential assay-to an automated electrophysiological assay (the Ionworks HT [Molecular Devices] platform) and characterize 11 known NaV inhibitors. Our results show that all three HTS assays are suitable for identification of NaV1.7 inhibitors, but as an HTS assay the Li-AAS assay is more robust with higher Z' values than the FLIPR and FRET-based membrane potential assays. Furthermore, there was a better correlation between the Ionworks assay and the Li-AAS assay regarding the potency of the NaV inhibitors investigated. This paper describes the first comparison between all the HTS assays available today to study voltage-gated NaVs, and the results suggest that the Li-AAS assay is more suited as a first HTS assay when starting an NaV drug discovery campaign.

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Year:  2008        PMID: 18078380     DOI: 10.1089/adt.2007.090

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  13 in total

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Review 2.  Sodium channel blockers for the treatment of neuropathic pain.

Authors:  Anindya Bhattacharya; Alan D Wickenden; Sandra R Chaplan
Journal:  Neurotherapeutics       Date:  2009-10       Impact factor: 7.620

3.  Reporting sodium channel activity using calcium flux: pharmacological promiscuity of cardiac Nav1.5.

Authors:  Hongkang Zhang; Beiyan Zou; Fang Du; Kaiping Xu; Min Li
Journal:  Mol Pharmacol       Date:  2014-11-24       Impact factor: 4.436

Review 4.  Using automated patch clamp electrophysiology platforms in pain-related ion channel research: insights from industry and academia.

Authors:  Damian C Bell; Mark L Dallas
Journal:  Br J Pharmacol       Date:  2017-07-18       Impact factor: 8.739

5.  Can robots patch-clamp as well as humans? Characterization of a novel sodium channel mutation.

Authors:  M Estacion; J S Choi; E M Eastman; Z Lin; Y Li; L Tyrrell; Y Yang; S D Dib-Hajj; S G Waxman
Journal:  J Physiol       Date:  2010-02-01       Impact factor: 5.182

6.  Advancing Ion Channel Research with Automated Patch Clamp (APC) Electrophysiology Platforms.

Authors:  Damian C Bell; Mark L Dallas
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 7.  Inhibition of NaV1.7: the possibility of ideal analgesics.

Authors:  Yutaka Kitano; Tsuyoshi Shinozuka
Journal:  RSC Med Chem       Date:  2022-08-01

8.  Classification of drugs based on properties of sodium channel inhibition: a comparative automated patch-clamp study.

Authors:  Nora Lenkey; Robert Karoly; Peter Lukacs; E Sylvester Vizi; Morten Sunesen; Laszlo Fodor; Arpad Mike
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

9.  Development of a Rapid Throughput Assay for Identification of hNav1.7 Antagonist Using Unique Efficacious Sodium Channel Agonist, Antillatoxin.

Authors:  Fang Zhao; Xichun Li; Liang Jin; Fan Zhang; Masayuki Inoue; Boyang Yu; Zhengyu Cao
Journal:  Mar Drugs       Date:  2016-02-16       Impact factor: 5.118

10.  Discovery of Novel HCN4 Blockers with Unique Blocking Kinetics and Binding Properties.

Authors:  Kosuke Nakashima; Kenji Nakao; Hideki Matsui
Journal:  SLAS Discov       Date:  2021-05-27       Impact factor: 3.341

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