TY - JOUR
T1 - Computational modeling and numerical methods for spatiotemporal calcium cycling in ventricular myocytes
AU - Nivala, Michael
AU - de Lange, Enno
AU - Rovetti, Robert J.
AU - Qu, Zhilin
PY - 2012/5/1
Y1 - 2012/5/1
N2 - Intracellular calcium (Ca) cycling dynamics in cardiac myocytes is regulated by a complex network of spatially distributed organelles, such as sarcoplasmic reticulum (SR), mitochondria, and myofibrils. In this study, we present a mathematical model of intracellular Ca cycling and numerical and computational methods for computer simulations. The model consists of a coupled Ca release unit (CRU) network, which includes a SR domain and a myoplasm domain. Each CRU contains 10 L-type Ca channels and 100 ryanodine receptor channels, with individual channels simulated stochastically using a variant of Gillespie’s method, modified here to handle time-dependent transition rates. Both the SR domain and the myoplasm domain in each CRU are modeled by 5 × 5 × 5 voxels to maintain proper Ca diffusion. Advanced numerical algorithms implemented on graphical processing units were used for fast computational simulations. For a myocyte containing 100 × 20 × 10 CRUs, a 1-s heart time simulation takes about 10 min of machine time on a single NVIDIA Tesla C2050. Examples of simulated Ca cycling dynamics, such as Ca sparks, Ca waves, and Ca alternans, are shown.
AB - Intracellular calcium (Ca) cycling dynamics in cardiac myocytes is regulated by a complex network of spatially distributed organelles, such as sarcoplasmic reticulum (SR), mitochondria, and myofibrils. In this study, we present a mathematical model of intracellular Ca cycling and numerical and computational methods for computer simulations. The model consists of a coupled Ca release unit (CRU) network, which includes a SR domain and a myoplasm domain. Each CRU contains 10 L-type Ca channels and 100 ryanodine receptor channels, with individual channels simulated stochastically using a variant of Gillespie’s method, modified here to handle time-dependent transition rates. Both the SR domain and the myoplasm domain in each CRU are modeled by 5 × 5 × 5 voxels to maintain proper Ca diffusion. Advanced numerical algorithms implemented on graphical processing units were used for fast computational simulations. For a myocyte containing 100 × 20 × 10 CRUs, a 1-s heart time simulation takes about 10 min of machine time on a single NVIDIA Tesla C2050. Examples of simulated Ca cycling dynamics, such as Ca sparks, Ca waves, and Ca alternans, are shown.
KW - Calcium cycling
KW - Graphical processing unit computing
KW - Mathematical modeling
KW - Ventricular myocyte
UR - http://www.scopus.com/inward/record.url?scp=84861894595&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861894595&partnerID=8YFLogxK
U2 - 10.3389/fphys.2012.00114
DO - 10.3389/fphys.2012.00114
M3 - Article
VL - 3
JO - Mathematics, Statistics and Data Science Faculty Works
JF - Mathematics, Statistics and Data Science Faculty Works
IS - 114
M1 - Article 114
ER -