Literature DB >> 15090242

Automated electrophysiology: high throughput of art.

Xiaobo Wang1, Min Li.   

Abstract

Electrophysiological measurements, in particular, patch clamping, have long been regarded as the "gold standard" for assaying ion channels. Despite its high information content, the technique suffers from laborious, manual processing by highly skilled workers and extremely low throughput. Recently, a number of researchers have started to automate patch clamping by either automating conventional micropipette-based patch clamping or developing planar microelectrode arrays. This article reviews the brief history of these emerging technologies and discusses the technical details, advantages, and disadvantages of each approach and technique. As will be evident from the discussion, two types of automated patch-clamping technologies are emerging. The first places emphasis on data quality, comparable to conventional patch clamping, and the second has much higher throughput. Future developments will include sophisticated patch-clamping devices with both high-quality data and high throughput capabilities and further integration of patch clamping with other cell-based assays.

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Year:  2003        PMID: 15090242     DOI: 10.1089/154065803770381057

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


  11 in total

1.  A novel method for patch-clamp automation.

Authors:  D Vasilyev; T Merrill; A Iwanow; J Dunlop; M Bowlby
Journal:  Pflugers Arch       Date:  2006-04-05       Impact factor: 3.657

2.  Electrophysiological and pharmacological validation of vagal afferent fiber type of neurons enzymatically isolated from rat nodose ganglia.

Authors:  Bai-Yan Li; John H Schild
Journal:  J Neurosci Methods       Date:  2007-04-08       Impact factor: 2.390

3.  hERG subunit composition determines differential drug sensitivity.

Authors:  N Abi-Gerges; H Holkham; E M C Jones; C E Pollard; J-P Valentin; G A Robertson
Journal:  Br J Pharmacol       Date:  2011-09       Impact factor: 8.739

4.  Whole-Cell Electrical Activity Under Direct Mechanical Stimulus by AFM Cantilever Using Planar Patch Clamp Chip Approach.

Authors:  Kalpesh V Upadhye; Joseph E Candiello; Lance A Davidson; Hai Lin
Journal:  Cell Mol Bioeng       Date:  2011-06       Impact factor: 2.321

5.  Single-cell-based sensors and synchrotron FTIR spectroscopy: a hybrid system towards bacterial detection.

Authors:  Mandana Veiseh; Omid Veiseh; Michael C Martin; Carolyn Bertozzi; Miqin Zhang
Journal:  Biosens Bioelectron       Date:  2007-04-27       Impact factor: 10.618

Review 6.  In vivo robotics: the automation of neuroscience and other intact-system biological fields.

Authors:  Suhasa B Kodandaramaiah; Edward S Boyden; Craig R Forest
Journal:  Ann N Y Acad Sci       Date:  2013-07-10       Impact factor: 5.691

7.  Robotic multiwell planar patch-clamp for native and primary mammalian cells.

Authors:  Carol J Milligan; Jing Li; Piruthivi Sukumar; Yasser Majeed; Mark L Dallas; Anne English; Paul Emery; Karen E Porter; Andrew M Smith; Ian McFadzean; Dayne Beccano-Kelly; Yahya Bahnasi; Alex Cheong; Jacqueline Naylor; Fanning Zeng; Xing Liu; Nikita Gamper; Lin-Hua Jiang; Hugh A Pearson; Chris Peers; Brian Robertson; David J Beech
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

8.  From understanding cellular function to novel drug discovery: the role of planar patch-clamp array chip technology.

Authors:  Christophe Py; Marzia Martina; Gerardo A Diaz-Quijada; Collin C Luk; Dolores Martinez; Mike W Denhoff; Anne Charrier; Tanya Comas; Robert Monette; Anthony Krantis; Naweed I Syed; Geoffrey A R Mealing
Journal:  Front Pharmacol       Date:  2011-10-03       Impact factor: 5.810

9.  Neurons on a chip - toward high throughput network and pharmacology investigations.

Authors:  John Michael Nagarah
Journal:  Front Pharmacol       Date:  2011-11-23       Impact factor: 5.810

10.  A comparison of the performance and application differences between manual and automated patch-clamp techniques.

Authors:  Xiao Yajuan; Liang Xin; Li Zhiyuan
Journal:  Curr Chem Genomics       Date:  2012-12-28
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