Electrical interactions in the HL-1 cardiomyocyte culture: An experimental and computational study

Download files
Access & Terms of Use
open access
Copyright: Bradd, Adrian
Altmetric
Abstract
A simplified computational model of mouse atrial cardiomyocyte electrical activity was developed, based on the HL-1 cardiomyocyte cell line. HL-1 myocytes were characterised electrically and optically: the emission spectra of di-4-ANEPPS in HL-1 cultures, the cell type and distribution, and the optical-electrical equiva- lence of the potentiometric probe were all examined. Two major cell types were determined: pacemaking and non-pacemaking, with a distribution of 70%/30% respectively. Optical mapping of the HL-1 monolayer revealed linear wavefronts and re-entrant rotor activity. Rotors were shown to be the dominant source of spontaneous activity in the HL-1 cultures. To reproduce experimentally observed electrical behaviour, a three-current generic ionic model was employed. Sharp electrode recordings of single cells were used to fit model parameters using a custom optimisation routine. An electrical cellular network model was created to replicate electrical interactions in the HL-1 mono- layer. The action potential waveshape and conduction velocity of the network model were optimised to accurately reproduce experimental data. The model was able to faithfully reproduce linear wave fronts and re-entrant rotor activity seen in the HL-1 monolayer. The radius-angle rotor relationship of the model was within one standard deviation of that observed in the HL-1 monolayer.
Persistent link to this record
Link to Publisher Version
Link to Open Access Version
Additional Link
Author(s)
Bradd, Adrian
Supervisor(s)
Lovell, Nigel
Dokos, Socrates
Creator(s)
Editor(s)
Translator(s)
Curator(s)
Designer(s)
Arranger(s)
Composer(s)
Recordist(s)
Conference Proceedings Editor(s)
Other Contributor(s)
Corporate/Industry Contributor(s)
Publication Year
2014
Resource Type
Thesis
Degree Type
Masters Thesis
UNSW Faculty
Files
download public version.pdf 12.38 MB Adobe Portable Document Format
Related dataset(s)