Computational analysis of the human sinus node action potential - Model development and effects of mutations

Alan Garny
Peter Hunter

CellML version of the Fabbri et al. 2017 model

Updated on May 10, 2021 (Version 1)

Corresponding Contributor:

Alan Garny
Dataset Banner Image
16 Files
149.05 KB
4 Records

Dataset Overview

Study purpose: Fabbri et al. constructed a comprehensive mathematical model of the spontaneous electrical activity of a human sinoatrial node (SAN) pacemaker cell, starting from the recent Severi–DiFrancesco model of rabbit SAN cells.

Data collection: the model is based on electrophysiological data from isolated human SAN pacemaker cells and closely matches the action potentials and calcium transient that were recorded experimentally.

Primary conclusion: Simulated ion channelopathies explain the clinically observed changes in heart rate in corresponding mutation carriers, providing an independent qualitative validation of the model. The model shows that the modulatory role of the ‘funny current’ (If) in the pacing rate of human SAN pacemaker cells is highly similar to that of rabbit SAN cells, despite its considerably lower amplitude. The model may prove useful in the design of experiments and the development of heart‐rate modulating drugs.

Curator's Notes

Experimental Design: This is a computational study.

Completeness: Complete.

Subjects & Samples: Not applicable. This is a computational study.

Primary vs derivative data: Not applicable. This is a computational study, no primary data was collected.

Code Availability: CellML version of the Fabbri et al. 2017 model.


Root Directory

0 - 0 of 0 files

No files found.

About this dataset

Publishing history

May 10, 2021
Originally Published
May 10, 2021 (Version 1)
Last Updated

Cite this dataset