MICHAEL CLERX MICHAEL.CLERX@NOTTINGHAM.AC.UK
Senior Research Fellow
Variability in reported midpoints of (in)activation of cardiac INa
Clerx, Michael; G.A. Volders, Paul; R. Mirams, Gary
Authors
Paul G.A. Volders
Prof. GARY MIRAMS GARY.MIRAMS@NOTTINGHAM.AC.UK
Professor of Mathematical Biology
Abstract
Electrically active cells like cardiomyocytes show variability in their size, shape, and electrical activity. But should we expect variability in the properties of their ionic currents? In this brief review we gather and visualise measurements of two important electrophysiological parameters: the midpoints of activation and inactivation of the cardiac fast sodium current, INa. We find a considerable variation in reported mean values between experiments, with a smaller cell-to-cell variation within experiments. We show how the between-experiment variability can be decomposed into a correlated and an uncorrelated component, and that the correlated component is much larger and affects both midpoints almost equally. We then review biological and methodological issues that might explain the observed variability, and attempt to classify each as within-experiment or correlated and uncorrelated between-experiment factors. Although the existence of some variability in measurements of ionic currents is well-known, we believe that this is the first work to systematically review it and that the scale of the observed variability is much larger than commonly appreciated, which has implications for modelling and experimental design.
Citation
Clerx, M., G.A. Volders, P., & R. Mirams, G. Variability in reported midpoints of (in)activation of cardiac INa
Working Paper Type | Preprint |
---|---|
Deposit Date | Jul 29, 2024 |
Publicly Available Date | Jul 29, 2024 |
DOI | https://doi.org/10.1101/2024.05.08.593173 |
Public URL | https://nottingham-repository.worktribe.com/output/34874066 |
Files
Variability in reported midpoints
(538 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Geometrically-derived action potential markers for model development: a principled approach?
(2024)
Preprint / Working Paper
Optimising experimental designs for model selection of ion channel drug binding mechanisms
(2024)
Preprint / Working Paper
Evaluating the predictive accuracy of ion channel models using data from multiple experimental designs
(2024)
Preprint / Working Paper
A range of voltage-clamp protocol designs for rapid capture of hERG kinetics
(2024)
Preprint / Working Paper
Resolving artefacts in voltage-clamp experiments with computational modelling: an application to fast sodium current recordings
(2024)
Preprint / Working Paper
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search