Literature DB >> 16548779

QPatch: the past, present and future of automated patch clamp.

Chris Mathes1.   

Abstract

The QPatch 16 significantly increases throughput for gigaseal patch clamp experiments, making direct measurements in ion channel drug discovery and safety testing feasible. Released to the market in the Autumn of 2004 by Sophion Bioscience, the QPatch originated from work done at NeuroSearch (Denmark) in the early days of automated patch clamp. Today, the QPatch provides many unique features. For example, only the QPatch includes an automated cell preparation station making several hours of unattended operation possible. The 16-channel electrode array, called the QPlate, includes glass-coated microfluidic channels for less compound absorption and, hence, more accurate IC(50) values. The microfluidic pathways also allow for very small amounts of compound used for each experiment ( approximately 5 microl per addition). Only the QPatch has four independent pipetting heads for more efficient liquid handling (especially for ligand-gated ion channel experiments). Patch clamp recordings with the QPatch match the high quality of conventional patch clamp and in some cases the results are even better. For example, only the QPatch includes 100% series resistance compensation for the elimination of false positives due to voltage errors. Finally, the modular QPatch 16 was designed with more channels in mind. The upgrade pathway to 48-channels (the QPatch HT) will be discussed.

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Year:  2006        PMID: 16548779     DOI: 10.1517/14728222.10.2.319

Source DB:  PubMed          Journal:  Expert Opin Ther Targets        ISSN: 1472-8222            Impact factor:   6.902


  17 in total

1.  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

2.  High-affinity σ1 protein agonist reduces clinical and pathological signs of experimental autoimmune encephalomyelitis.

Authors:  B Oxombre; C Lee-Chang; A Duhamel; M Toussaint; M Giroux; M Donnier-Maréchal; P Carato; D Lefranc; H Zéphir; L Prin; P Melnyk; P Vermersch
Journal:  Br J Pharmacol       Date:  2015-02-10       Impact factor: 8.739

3.  2,3-Dihydro-1-benzofuran derivatives as a series of potent selective cannabinoid receptor 2 agonists: design, synthesis, and binding mode prediction through ligand-steered modeling.

Authors:  Philippe Diaz; Sharangdhar S Phatak; Jijun Xu; Frank R Fronczek; Fanny Astruc-Diaz; Charles M Thompson; Claudio N Cavasotto; Mohamed Naguib
Journal:  ChemMedChem       Date:  2009-10       Impact factor: 3.466

4.  Oxycodone is associated with dose-dependent QTc prolongation in patients and low-affinity inhibiting of hERG activity in vitro.

Authors:  Søren Fanoe; Gorm Boje Jensen; Per Sjøgren; Mads P G Korsgaard; Morten Grunnet
Journal:  Br J Clin Pharmacol       Date:  2008-10-15       Impact factor: 4.335

5.  The importance of being profiled: improving drug candidate safety and efficacy using ion channel profiling.

Authors:  Gregory J Kaczorowski; Maria L Garcia; Jacob Bode; Stephen D Hess; Umesh A Patel
Journal:  Front Pharmacol       Date:  2011-12-13       Impact factor: 5.810

6.  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

7.  Imidazolopiperazines: lead optimization of the second-generation antimalarial agents.

Authors:  Advait Nagle; Tao Wu; Kelli Kuhen; Kerstin Gagaring; Rachel Borboa; Caroline Francek; Zhong Chen; David Plouffe; Xuena Lin; Christopher Caldwell; Jared Ek; Suzanne Skolnik; Fenghua Liu; Jianling Wang; Jonathan Chang; Chun Li; Bo Liu; Thomas Hollenbeck; Tove Tuntland; John Isbell; Tiffany Chuan; Philip B Alper; Christoph Fischli; Reto Brun; Suresh B Lakshminarayana; Matthias Rottmann; Thierry T Diagana; Elizabeth A Winzeler; Richard Glynne; David C Tully; Arnab K Chatterjee
Journal:  J Med Chem       Date:  2012-04-23       Impact factor: 7.446

8.  Automated and manual patch clamp data of human induced pluripotent stem cell-derived dopaminergic neurons.

Authors:  Denise Franz; Hervør Lykke Olsen; Oliver Klink; Jan Gimsa
Journal:  Sci Data       Date:  2017-04-25       Impact factor: 6.444

9.  Optimization of the Urea Linker of Triazolopyridazine MMV665917 Results in a New Anticryptosporidial Lead with Improved Potency and Predicted hERG Safety Margin.

Authors:  Edmund Oboh; Tanner J Schubert; Jose E Teixeira; Erin E Stebbins; Peter Miller; Emily Philo; Haresh Thakellapalli; Scott D Campbell; David W Griggs; Christopher D Huston; Marvin J Meyers
Journal:  J Med Chem       Date:  2021-08-03       Impact factor: 8.039

10.  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

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