Articles by Gregory Bass in JoVE
Creating a Structurally Realistic Finite Element Geometric Model of a Cardiomyocyte to Study the Role of Cellular Architecture in Cardiomyocyte Systems Biology Vijay Rajagopal1,2,3, Gregory Bass2,3, Shouryadipta Ghosh1,2,3, Hilary Hunt2,4, Cameron Walker5, Eric Hanssen6, Edmund Crampin2,3,4,7,8, Christian Soeller9 1Cell Structure and Mechanobiology Group, University of Melbourne, 2Systems Biology Laboratory, Melbourne School of Engineering, University of Melbourne, 3Department of Biomedical Engineering, University of Melbourne, 4School of Mathematics and Statistics, Faculty of Science, University of Melbourne, 5Department of Engineering Science, University of Auckland, 6Advanced Microscopy Facility, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, 7ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, 8School of Medicine, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, 9Living Systems Institute, University of Exeter This protocol outlines a novel method to create a spatially detailed finite element model of the intracellular architecture of cardiomyocytes from electron microscopy and confocal microscopy images. The power of this spatially detailed model is demonstrated using case studies in calcium signaling and bioenergetics.
Other articles by Gregory Bass on PubMed
Examination of the Effects of Heterogeneous Organization of RyR Clusters, Myofibrils and Mitochondria on Ca2+ Release Patterns in Cardiomyocytes PLoS Computational Biology. | Pubmed ID: 26335304 Spatio-temporal dynamics of intracellular calcium, [Ca2+]i, regulate the contractile function of cardiac muscle cells. Measuring [Ca2+]i flux is central to the study of mechanisms that underlie both normal cardiac function and calcium-dependent etiologies in heart disease. However, current imaging techniques are limited in the spatial resolution to which changes in [Ca2+]i can be detected. Using spatial point process statistics techniques we developed a novel method to simulate the spatial distribution of RyR clusters, which act as the major mediators of contractile Ca2+ release, upon a physiologically-realistic cellular landscape composed of tightly-packed mitochondria and myofibrils. We applied this method to computationally combine confocal-scale (~ 200 nm) data of RyR clusters with 3D electron microscopy data (~ 30 nm) of myofibrils and mitochondria, both collected from adult rat left ventricular myocytes. Using this hybrid-scale spatial model, we simulated reaction-diffusion of [Ca2+]i during the rising phase of the transient (first 30 ms after initiation). At 30 ms, the average peak of the simulated [Ca2+]i transient and of the simulated fluorescence intensity signal, F/F0, reached values similar to that found in the literature ([Ca2+]i ≈1 μM; F/F0≈5.5). However, our model predicted the variation in [Ca2+]i to be between 0.3 and 12.7 μM (~3 to 100 fold from resting value of 0.1 μM) and the corresponding F/F0 signal ranging from 3 to 9.5. We demonstrate in this study that: (i) heterogeneities in the [Ca2+]i transient are due not only to heterogeneous distribution and clustering of mitochondria; (ii) but also to heterogeneous local densities of RyR clusters. Further, we show that: (iii) these structure-induced heterogeneities in [Ca2+]i can appear in line scan data. Finally, using our unique method for generating RyR cluster distributions, we demonstrate the robustness in the [Ca2+]i transient to differences in RyR cluster distributions measured between rat and human cardiomyocytes.