Literature DB >> 18356919

High-throughput electrophysiology: an emerging paradigm for ion-channel screening and physiology.

John Dunlop1, Mark Bowlby, Ravikumar Peri, Dmytro Vasilyev, Robert Arias.   

Abstract

Ion channels represent highly attractive targets for drug discovery and are implicated in a diverse range of disorders, in particular in the central nervous and cardiovascular systems. Moreover, assessment of cardiac ion-channel activity of new chemical entities is now an integral component of drug discovery programmes to assess potential for cardiovascular side effects. Despite their attractiveness as drug discovery targets ion channels remain an under-exploited target class, which is in large part due to the labour-intensive and low-throughput nature of patch-clamp electrophysiology. This Review provides an update on the current state-of-the-art for the various automated electrophysiology platforms that are now available and critically evaluates their impact in terms of ion-channel screening, lead optimization and the assessment of cardiac ion-channel safety liability.

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Year:  2008        PMID: 18356919     DOI: 10.1038/nrd2552

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  117 in total

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Authors:  Sviatoslav N Bagriantsev; Daniel L Minor
Journal:  Neuron       Date:  2010-10-06       Impact factor: 17.173

2.  High-precision recording of the action potential in isolated cardiomyocytes using the near-infrared fluorescent dye di-4-ANBDQBS.

Authors:  Mark Warren; Kenneth W Spitzer; Bruce W Steadman; Tyler D Rees; Paul Venable; Tyson Taylor; Junko Shibayama; Ping Yan; Joseph P Wuskell; Leslie M Loew; Alexey V Zaitsev
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-07-02       Impact factor: 4.733

3.  Profiling diverse compounds by flux- and electrophysiology-based primary screens for inhibition of human Ether-à-go-go related gene potassium channels.

Authors:  Beiyan Zou; Haibo Yu; Joseph J Babcock; Pritam Chanda; Joel S Bader; Owen B McManus; Min Li
Journal:  Assay Drug Dev Technol       Date:  2010-12       Impact factor: 1.738

Review 4.  Single molecule sensing by nanopores and nanopore devices.

Authors:  Li-Qun Gu; Ji Wook Shim
Journal:  Analyst       Date:  2009-12-22       Impact factor: 4.616

5.  Comparison of cell expression formats for the characterization of GABA(A) channels using a microfluidic patch clamp system.

Authors:  Qin Chen; Peter D Yim; Nina Yuan; Juliette Johnson; James M Cook; Steve Smith; Cristian Ionescu-Zanetti; Zhi-Jian Wang; Leggy A Arnold; Charles W Emala
Journal:  Assay Drug Dev Technol       Date:  2012-05-10       Impact factor: 1.738

6.  Detection of proton movement directly across viral membranes to identify novel influenza virus M2 inhibitors.

Authors:  Chidananda Sulli; Soma S R Banik; Justin Schilling; Allan Moser; Xiaoxiao Xiang; Riley Payne; Antony Wanless; Sharon H Willis; Cheryl Paes; Joseph B Rucker; Benjamin J Doranz
Journal:  J Virol       Date:  2013-07-24       Impact factor: 5.103

7.  A simple method for the reconstitution of membrane proteins into giant unilamellar vesicles.

Authors:  Armelle Varnier; Frédérique Kermarrec; Iulia Blesneac; Christophe Moreau; Lavinia Liguori; Jean Luc Lenormand; Nathalie Picollet-D'hahan
Journal:  J Membr Biol       Date:  2010-02-05       Impact factor: 1.843

Review 8.  Nongenetic Optical Methods for Measuring and Modulating Neuronal Response.

Authors:  John F Zimmerman; Bozhi Tian
Journal:  ACS Nano       Date:  2018-05-04       Impact factor: 15.881

9.  Studying mechanosensitive ion channels with an automated patch clamp.

Authors:  Maria Barthmes; Mac Donald F Jose; Jan Peter Birkner; Andrea Brüggemann; Christian Wahl-Schott; Armağan Koçer
Journal:  Eur Biophys J       Date:  2014-02-14       Impact factor: 1.733

10.  High Throughput Techniques for Discovering New Glycine Receptor Modulators and their Binding Sites.

Authors:  Daniel F Gilbert; Robiul Islam; Timothy Lynagh; Joseph W Lynch; Timothy I Webb
Journal:  Front Mol Neurosci       Date:  2009-10-30       Impact factor: 5.639

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