A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes

Recent high-throughput experiments unveil substantial electrophysiological diversity among uncoupled healthy myocytes under identical conditions. To quantify inter-cell variability, the values of a subset of the parameters in a well-regarded mathematical model of the action potential of rabbit ventr...

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Main Authors: Radostin D. Simitev, Rebecca J. Gilchrist, Zhechao Yang, Rachel C. Myles, Francis L. Burton, Godfrey L. Smith
Format: Article
Language:English
Published: The Royal Society 2025-03-01
Series:Royal Society Open Science
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Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.241539
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author Radostin D. Simitev
Rebecca J. Gilchrist
Zhechao Yang
Rachel C. Myles
Francis L. Burton
Godfrey L. Smith
author_facet Radostin D. Simitev
Rebecca J. Gilchrist
Zhechao Yang
Rachel C. Myles
Francis L. Burton
Godfrey L. Smith
author_sort Radostin D. Simitev
collection DOAJ
description Recent high-throughput experiments unveil substantial electrophysiological diversity among uncoupled healthy myocytes under identical conditions. To quantify inter-cell variability, the values of a subset of the parameters in a well-regarded mathematical model of the action potential of rabbit ventricular myocytes are estimated from fluorescence voltage measurements of a large number of cells. Statistical inference yields a population of nearly 1200 cell-specific model variants that, on a population-level replicate experimentally measured biomarker ranges and distributions, and in contrast to earlier studies, also match experimental biomarker values on a cell-by-cell basis. This model population may be regarded as a random sample from the phenotype of healthy rabbit ventricular myocytes. Univariate and bivariate joint marginal distributions of the estimated parameters are presented, and the parameter dependencies of several commonly used electrophysiological biomarkers are determined. Parameter values are weakly correlated, while summary metrics such as the action potential duration are not strongly dependent on any single electrophysiological characteristic of the myocyte. Our results demonstrate the feasibility of accurately and efficiently fitting entire action potential waveforms at scale.
format Article
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publisher The Royal Society
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spelling doaj-art-a26a5d7bee4144ce90813270da055bb92025-08-20T02:42:14ZengThe Royal SocietyRoyal Society Open Science2054-57032025-03-0112310.1098/rsos.241539A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytesRadostin D. Simitev0Rebecca J. Gilchrist1Zhechao Yang2Rachel C. Myles3Francis L. Burton4Godfrey L. Smith5School of Mathematics and Statistics, University of Glasgow, Glasgow, UKSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UKSchool of Mathematics and Statistics, University of Glasgow, Glasgow, UKSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UKSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UKSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UKRecent high-throughput experiments unveil substantial electrophysiological diversity among uncoupled healthy myocytes under identical conditions. To quantify inter-cell variability, the values of a subset of the parameters in a well-regarded mathematical model of the action potential of rabbit ventricular myocytes are estimated from fluorescence voltage measurements of a large number of cells. Statistical inference yields a population of nearly 1200 cell-specific model variants that, on a population-level replicate experimentally measured biomarker ranges and distributions, and in contrast to earlier studies, also match experimental biomarker values on a cell-by-cell basis. This model population may be regarded as a random sample from the phenotype of healthy rabbit ventricular myocytes. Univariate and bivariate joint marginal distributions of the estimated parameters are presented, and the parameter dependencies of several commonly used electrophysiological biomarkers are determined. Parameter values are weakly correlated, while summary metrics such as the action potential duration are not strongly dependent on any single electrophysiological characteristic of the myocyte. Our results demonstrate the feasibility of accurately and efficiently fitting entire action potential waveforms at scale.https://royalsocietypublishing.org/doi/10.1098/rsos.241539cellular excitabilityrabbit ventricular myocytesfluorescence voltage measurementsaction potential waveformparameter estimation in differential equationsnoisy time series
spellingShingle Radostin D. Simitev
Rebecca J. Gilchrist
Zhechao Yang
Rachel C. Myles
Francis L. Burton
Godfrey L. Smith
A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
Royal Society Open Science
cellular excitability
rabbit ventricular myocytes
fluorescence voltage measurements
action potential waveform
parameter estimation in differential equations
noisy time series
title A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
title_full A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
title_fullStr A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
title_full_unstemmed A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
title_short A large population of cell-specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
title_sort large population of cell specific action potential models replicating fluorescence recordings of voltage in rabbit ventricular myocytes
topic cellular excitability
rabbit ventricular myocytes
fluorescence voltage measurements
action potential waveform
parameter estimation in differential equations
noisy time series
url https://royalsocietypublishing.org/doi/10.1098/rsos.241539
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