voltageclampmodel
Code to add a mathematical model of voltage-clamp artefacts to your ion channel simulations
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Repository
Code to add a mathematical model of voltage-clamp artefacts to your ion channel simulations
Basic Info
- Host: GitHub
- Owner: CardiacModelling
- License: bsd-3-clause
- Language: Python
- Default Branch: master
- Homepage: https://compbio.fhs.um.edu.mo/vpatch
- Size: 231 MB
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- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
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Metadata Files
README.md
Voltage-Clamp Experiment Model
A detailed mathematical model of a voltage-clamp experiment with imperfect patch-clamp amplifier compensations
Release Notes
March 2021
The latest version of this repository includes supercharging compensation, following the equations in the paper "Resolving Artifacts in Voltage-Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings" by Chon Lok Lei, Alexander P. Clark, Michael Clerx, Siyu Wei, Meye Bloothooft, Teun P. de Boer, David J. Christini, Trine Krogh-Madsen, and Gary R. Mirams (doi:10.1002/advs.202500691), as well as in Chapter 6 of Chon Lok Lei's thesis.
April 2020
This repo contains all data and code for reproducing the results in the paper "Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments" by Chon Lok Lei, Michael Clerx, Dominic Whittaker, David Gavaghan, Teun de Boer, and Gary Mirams. doi:10.1098/rsta.2019.0348. A permanently archived version (without supercharging) for reproducing the results in the paper is available as a tagged release or on Zenodo at https://doi.org/10.5281/zenodo.3754184.
Installing
To run the code to generate the data and figures shown in the paper, please follow these steps first:
- Clone hERGRapidCharacterisation to the relative path
../hERGRapidCharacterisation. - To setup, either run (for Linux/macOS users)
console $ bash setup.shor install PINTS and Myokit manually with Python 3.5+.
Results
Section 3: Validating the mathematical model with electrical model cell experiments
- model-cell-experiments: Application of the voltage-clamp experiment model to electrical model cell experiments.
- contains results and code to reproduce Figures 4, 5; Table 2; Figures S4, S5; Tables S1, S2.
Section 4: Application to variability in CHO-hERG1a patch-clamp data
herg-syn-study: Synthetic studies with the voltage-clamp experiment model.
- contains results and code to reproduce Figure S6.
herg-real-data: Application of the voltage-clamp experiment model to data in hERGRapidCharacterisation.
- Contains results and code to reproduce Hypothesis 2: Figures 7, 8; Figures S7, S8, S9; Tables S3, S4.
- Also contains results and code that are mentioned but not shown in the paper: full voltage-clamp experiment model fitting to hERG data; independent kinetics with independent artefacts 'Hypothesis 3'.
Supporting files
lib: Contains all modules/utility functions.
mmt-model-files: Myokit model files, contains IKr model and voltage clamp experiment model etc.
protocol-time-series: Contains protocols as time series, stored as
.csvfiles, with time points (ins) and voltage (inmV)data,data-autoLC,manualselection,qc: symbolic links to hERGRapidCharacterisationcellml: CellML version of the models in mmt-model-files.
Acknowledging this work
If you publish any work based on the contents of this repository please cite (CITATION file):
Lei, C.L., Clerx, M., Whittaker, D.G., Gavaghan D.J., de Boer, T.P. and Mirams, G.R. (2020). Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments. Philosophical Transactions of the Royal Society A, 378: 20190348.
Lei, C.L., Clark, A.P., Clerx, M., Wei, S., Bloothooft, M., de Boer, T.P., Christini, D.J., Krogh-Madsen, T., and Mirams, G.R. (2025). Resolving Artifacts in Voltage-Clamp Experiments with Computational Modeling: An Application to Fast Sodium Current Recordings. Advanced Science, 12, 30: 12, e00691.
Owner
- Name: Cardiac Modelling
- Login: CardiacModelling
- Kind: organization
- Location: United Kingdom
- Website: https://www.maths.nottingham.ac.uk/plp/pmzgm/
- Repositories: 20
- Profile: https://github.com/CardiacModelling
Codes and Resources from the University of Nottingham's cardiac modelling team
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