Literature DB >> 12825298

Upscaling and automation of electrophysiology: toward high throughput screening in ion channel drug discovery.

Margit Asmild1, Nicholas Oswald, Karen M Krzywkowski, Søren Friis, Rasmus B Jacobsen, Dirk Reuter, Rafael Taboryski, Jonathan Kutchinsky, Ras K Vestergaard, Rikke L Schrøder, Claus B Sørensen, Morten Bech, Mads P G Korsgaard, Niels J Willumsen.   

Abstract

Effective screening of large compound libraries in ion channel drug discovery requires the development of new electrophysiological techniques with substantially increased throughputs compared to the conventional patch clamp technique. Sophion Bioscience is aiming to meet this challenge by developing two lines of automated patch clamp products, a traditional pipette-based system called Apatchi-1, and a silicon chip-based system QPatch. The degree of automation spans from semi-automation (Apatchi-1) where a trained technician interacts with the system in a limited way, to a complete automation (QPatch 96) where the system works continuously and unattended until screening of a full compound library is completed. The performance of the systems range from medium to high throughputs.

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Year:  2003        PMID: 12825298

Source DB:  PubMed          Journal:  Receptors Channels        ISSN: 1060-6823


  6 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.  Mammalian electrophysiology on a microfluidic platform.

Authors:  Cristian Ionescu-Zanetti; Robin M Shaw; Jeonggi Seo; Yuh-Nung Jan; Lily Y Jan; Luke P Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-20       Impact factor: 11.205

Review 3.  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

4.  Automated electrophysiology makes the pace for cardiac ion channel safety screening.

Authors:  Clemens Möller; Harry Witchel
Journal:  Front Pharmacol       Date:  2011-11-23       Impact factor: 5.810

Review 5.  BioMEMS -Advancing the Frontiers of Medicine.

Authors:  Teena James; Manu Sebastian Mannoor; Dentcho V Ivanov
Journal:  Sensors (Basel)       Date:  2008-09-26       Impact factor: 3.576

6.  Machine learning for automatic prediction of the quality of electrophysiological recordings.

Authors:  Thomas Nowotny; Jean-Pierre Rospars; Dominique Martinez; Shereen Elbanna; Sylvia Anton
Journal:  PLoS One       Date:  2013-12-04       Impact factor: 3.240

  6 in total

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