Gary R. Mirams

The paper uses IVIS Lysotracker imaging and RT-qPCR to assess lysosomal abundance and autophagy-related gene expression in young and aged mouse hearts, finding preserved acidic-vesicle pool and stable gene expression.

IonBench evaluates optimization strategies for ion channel models, identifying an efficient approach that reduces computation time and improves reliability.

This paper presents a community-driven benchmarking initiative for cell-based multiscale models, highlighting variations in tool implementations and advocating for standardized benchmarks and interoperability.

This paper reviews and visualizes variability in reported midpoints of activation and inactivation of cardiac INa, finding large between-experiment variation and classifying contributing factors.

This study optimizes voltage protocols to distinguish drug-binding mechanisms of hERG channels using synthetic data, showing improved model selection when the true model is known.

The paper evaluates the predictive accuracy of IKr ion channel models using voltage-clamp data from multiple experimental protocols and identifies parameter heterogeneity across cells.

This paper compares in silico predictions of action potential duration changes with new human ex vivo recordings under IKr and ICaL inhibition, finding that no model accurately predicts all experimental outcomes.

The paper investigates deriving action potential biomarkers from a linearised action potential function.

The paper introduces voltage-clamp protocols for efficiently capturing hERG ion channel kinetics to aid in modeling.

This paper introduces an optimal experimental design for ion channel gating characterization by efficiently exploring the phase-voltage space using hERG/Kv11.1 currents.

This paper develops a computational model to identify and correct artefacts in voltage-clamp experiments, improving the accuracy of ion channel recordings.

The paper uses proteomics and other methods to study endolysosomal changes in a goat model of atrial fibrillation, identifying upregulated pathways and specific proteins.

This paper develops a method to automatically design optimal experimental protocols for calibrating cardiac electrophysiology models to better identify cell-specific parameters.

The paper describes extensions to an online resource for cardiac electrophysiology models, focusing on reproducible model development from experimental data.