Rapid characterisation of hERG channel kinetics II: temperature dependence by Lei, CL, Clerx, M, Beattie, KA, Melgari, D, Hancox, JC, Gavaghan, DJ, Polonchuk, L, Wang, K, Mirams, GR

“…In this Part II, we use this protocol to study the temperature dependence of hERG kinetics using Chinese hamster ovary cells overexpressing hERG1a on the Nanion SyncroPatch 384PE, a 384-well automated patch-clamp platform, with temperature control. …”

Rapid characterisation of hERG channel kinetics I: using an automated high-throughput system by Lei, CL, Clerx, M, Gavaghan, D, Polonchuk, L, Mirams, GR, Wang, K

“…We demonstrate its use on the Nanion SyncroPatch 384PE, a 384-well automated patch-clamp platform, by applying it to Chinese hamster ovary cells stably expressing hERG1a. From these recordings, we construct 124 cell-specific variants/parameterizations of a hERG model at 25°C. …”

Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment by Farm, HJ, Clerx, M, Cooper, F, Polonchuk, L, Wang, K, Gavaghan, DJ, Lei, CL

“…Here, we study the impact of including state-dependent drug binding in a mathematical model of hERG when translating hERG inhibition to action potential changes. …”

Model-driven design and uncertainty quantification for cardiac electrophysiology experiments by Lei, CL

“…We then design and perform high-throughput experiments to construct and validate cell-specific mathematical models for <em>human Ether-à-go-go-Related Gene</em> (hERG) channel dynamics, and to study its temperature dependence, which is important for cardiac safety pharmacology and cardiac action potential models. …”

Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments by Lei, CL, Clerx, M, Whittaker, D, Gavaghan, DJ, de Boer, TP, Mirams, GR

“…In a previous study, we fitted cell-specific models to hERG1a (Kv11.1) recordings simultaneously measured using an automated high-throughput system, and studied cell-cell variability by inspecting the resulting model parameters. …”