Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments

Mathematical models of ion channels, which constitute indispensable components of action potential models, are commonly constructed by fitting to whole-cell patch-clamp data. 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. However, the origin of the observed variability was not identified. Here we study the source of variability by constructing a model that describes not just ion current dynamics, but the entire voltage-clamp experiment. The experimental artefact components of the model include: series resistance, membrane and pipette capacitance, voltage offsets, imperfect compensations made by the amplifier for these phenomena, and leak current. In this model, variability in the observations can be explained by either cell properties, measurement artefacts, or both. Remarkably, by assuming that variability arises exclusively from measurement artefacts, it is possible to explain a larger amount of the observed variability than when assuming cell-specific ion current kinetics. This assumption also leads to a smaller number of model parameters. This result suggests that most of the observed variability in patch-clamp data measured under the same conditions is caused by experimental artefacts, and hence can be compensated for in post-processing by using our model for the patch-clamp experiment. This study has implications for the question of the extent to which cell-cell variability in ion channel kinetics exists, and opens up routes for better correction of artefacts in patch-clamp data.

[1]  S. Santillo,et al.  Electrophysiological variability in the SH-SY5Y cellular line. , 2014, General physiology and biophysics.

[2]  M. Hines,et al.  Compensation for resistance in series with excitable membranes. , 1984, Biophysical journal.

[3]  Gary R. Mirams,et al.  Calibration of ionic and cellular cardiac electrophysiology models , 2020, Wiley interdisciplinary reviews. Systems biology and medicine.

[4]  Michael Clerx,et al.  Myokit: A simple interface to cardiac cellular electrophysiology. , 2016, Progress in biophysics and molecular biology.

[5]  Eugenio Culurciello,et al.  An Integrated Patch-Clamp Potentiostat With Electrode Compensation , 2009, IEEE Transactions on Biomedical Circuits and Systems.

[6]  Michael Clerx,et al.  Four Ways to Fit an Ion Channel Model , 2019, bioRxiv.

[7]  Stefano Severi,et al.  IKr impact on repolarization and its variability assessed by Dynamic-Clamp , 2013, Computing in Cardiology 2013.

[8]  D H Singer,et al.  Sodium current in isolated human ventricular myocytes. , 1993, The American journal of physiology.

[9]  Michael Clerx,et al.  Four ways to fit an ion channel model , 2019 .

[10]  G. Lukács,et al.  High-throughput phenotyping of heteromeric human ether-à-go-go-related gene potassium channel variants can discriminate pathogenic from rare benign variants. , 2020, Heart rhythm.

[11]  Jorge Golowasch,et al.  Ionic Current Variability and Functional Stability in the Nervous System. , 2014, Bioscience.

[12]  I. Cohen,et al.  Control of Cardiac Repolarization by Phosphoinositide 3-Kinase Signaling to Ion Channels , 2015, Circulation research.

[13]  Trine Krogh-Madsen,et al.  Cell-Specific Cardiac Electrophysiology Models , 2015, PLoS Comput. Biol..

[14]  F. Sigworth Design of the EPC-9, a computer-controlled patch-clamp amplifier. 1. Hardware , 1995, Journal of Neuroscience Methods.

[15]  E. Neher Correction for liquid junction potentials in patch clamp experiments. , 1992, Methods in enzymology.

[16]  Eugenio Culurciello,et al.  Patch-clamp amplifiers on a chip , 2010, Journal of Neuroscience Methods.

[17]  F. Sigworth Electronic Design of the Patch Clamp , 1983 .

[18]  Chon Lok Lei,et al.  Rapid characterisation of hERG channel kinetics I: using an automated high-throughput system , 2019, bioRxiv.

[19]  A Shrier,et al.  Series resistance compensation for whole-cell patch-clamp studies using a membrane state estimator. , 1999, Biophysical journal.

[20]  Yoram Rudy,et al.  Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation , 2011, PLoS Comput. Biol..

[21]  Jacques Beaumont,et al.  Extending the Conditions of Application of an Inversion of the Hodgkin–Huxley Gating Model , 2013, Bulletin of mathematical biology.

[22]  H. Koepsell,et al.  An improved method for real-time monitoring of membrane capacitance in Xenopus laevis oocytes. , 2002, Biophysical journal.

[23]  Min Wu,et al.  Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative , 2018, Clinical pharmacology and therapeutics.

[24]  David Gavaghan,et al.  Probabilistic Inference on Noisy Time Series (PINTS) , 2018, Journal of Open Research Software.

[25]  Chon Lok Lei,et al.  Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System , 2019, Biophysical journal.

[26]  Chon Lok Lei,et al.  Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology , 2017, Front. Physiol..

[27]  Gary R. Mirams,et al.  Uncertainty and variability in computational and mathematical models of cardiac physiology , 2016, The Journal of physiology.

[28]  Pras Pathmanathan,et al.  Uncertainty quantification of fast sodium current steady-state inactivation for multi-scale models of cardiac electrophysiology. , 2015, Progress in biophysics and molecular biology.

[29]  Simon R. Schultz,et al.  Progress in automating patch clamp cellular physiology , 2018, Brain and neuroscience advances.

[30]  A. Strickholm A single electrode voltage, current- and patch-clamp amplifier with complete stable series resistance compensation , 1995, Journal of Neuroscience Methods.

[31]  Alain Marty,et al.  Tight-Seal Whole-Cell Recording , 1983 .

[32]  Nikolaus Hansen,et al.  The CMA Evolution Strategy: A Comparing Review , 2006, Towards a New Evolutionary Computation.

[33]  Gary R. Mirams,et al.  Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing , 2012, British journal of pharmacology.

[34]  Martyn P Mahaut-Smith,et al.  Temperature dependence of human ether-a-go-go-related gene K+ currents. , 2006, American journal of physiology. Cell physiology.

[35]  Gary R. Mirams,et al.  Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics , 2018, The Journal of physiology.

[36]  D. Noble,et al.  A model for human ventricular tissue. , 2004, American journal of physiology. Heart and circulatory physiology.

[37]  C. Stevens,et al.  Origin of variability in quantal size in cultured hippocampal neurons and hippocampal slices. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[38]  P. Volders,et al.  Predicting changes to INa from missense mutations in human SCN5A , 2018, Scientific Reports.

[39]  Wei Chen,et al.  Assessing the Reliability of Complex Models: Mathematical and Statistical Foundations of Verification, Validation, and Uncertainty Quantification , 2012 .

[40]  Alan Finkel,et al.  Population Patch Clamp Improves Data Consistency and Success Rates in the Measurement of Ionic Currents , 2006, Journal of biomolecular screening.

[41]  E. Neher Voltage Offsets in Patch-Clamp Experiments , 1995 .

[42]  D. Bers,et al.  Surface:volume relationship in cardiac myocytes studied with confocal microscopy and membrane capacitance measurements: species-dependence and developmental effects. , 1996, Biophysical journal.

[43]  Gary R. Mirams,et al.  Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence , 2019, bioRxiv.

[44]  N. Trayanova,et al.  Computational models in cardiology , 2018, Nature Reviews Cardiology.

[45]  Pras Pathmanathan,et al.  Considering discrepancy when calibrating a mechanistic electrophysiology model , 2020, Philosophical Transactions of the Royal Society A.

[46]  C. January,et al.  Properties of HERG channels stably expressed in HEK 293 cells studied at physiological temperature. , 1998, Biophysical journal.

[47]  R. Weiler,et al.  Expression and biophysical characterization of voltage-gated sodium channels in axons and growth cones of the regenerating optic nerve. , 2010, Investigative ophthalmology & visual science.

[48]  F. J. Sigworth,et al.  Design of the EPC-9, a computer-controlled patch-clamp amplifier. 2. Software , 1995, Journal of Neuroscience Methods.

[49]  J. Hancox,et al.  Rapid characterisation of hERG channel kinetics II: temperature dependence , 2019, bioRxiv.

[50]  B. Sakmann,et al.  Single-Channel Recording , 1995, Springer US.