Resolving artefacts in voltage-clamp experiments with computational modelling: an application to fast sodium current...

Area of Science:

• Cellular electrophysiology
• Computational biology
• Ion channel biophysics

Background:

• Patch-clamp voltage clamp is the gold standard for cellular electrophysiology.
• Experimental artifacts in voltage-clamp recordings can lead to inaccurate conclusions.
• Accurate electrophysiological data is vital for drug safety, disease modeling, and basic research.

Purpose of the Study:

• To develop a computational approach for predicting and explaining experimental artifacts in voltage-clamp recordings.
• To validate the computational model using electrical cell experiments.
• To improve the interpretation of electrophysiological data, particularly for challenging currents like cardiac sodium current.

Main Methods:

• Developed a computational model simulating voltage-clamp procedures and inadequacies (e.g., voltage offset, series resistance, capacitance, amplifier compensations).
• Validated the model through electrical model cell experiments.
• Applied the model to cardiac fast sodium current recordings to resolve artifacts.

Main Results:

• The computational model successfully predicted and explained experimental artifacts in voltage-clamp experiments.
• Artifacts in cardiac fast sodium current recordings were resolved by coupling observed current with simulated membrane voltage.
• Standard data averaging methods can introduce biases in current-voltage relationships, comparable to disease mutation effects.

Conclusions:

• The developed computational pipeline offers a new standard for assessing and interpreting voltage-clamp experiments.
• This approach can rectify and enhance the understanding of ion channel mutations and related research.
• Improved accuracy in electrophysiology data interpretation will benefit drug discovery and clinical applications.