Whole-cell simulations of hybrid stochastic and deterministic calcium dynamics in 3 D geometry

We developed a 3D finite element simulator interface for the numerical simulation of stochastic and deterministic equations for single and multiple clusters of Ca2+ releasing channels. Mathematically, diffusion, reactions and membrane transport of calcium ions in cells are represented by a coupled system of reaction-diffusion equations. We adopted a hybrid algorithm to address the coupling of the deterministic reaction-diffusion equations for Ca2+ and Ca2+ buffers and Markovian dynamics of IP3R channel gating. Using highly unstructured meshes, our method bridges many orders of magnitude to represent accurately the Ca2+ distribution from the single channel to entire cells with multiple clusters of channels. To save computational time, a conforming finite element method is employed for the spatial discretization and adaptive and higher order linearly implicit methods, Rosenbrock type methods, are used for the time integration. This allows an efficient representation of inhomogeneous intra-cluster Ca2+ distribution at the nanometer scale even for whole-cell simulations with multiple clusters. Numerical results are demonstrated for different fine spatial resolution meshes as well as different higher order time integrators to insure the numerical convergence of schemes which we apply to study the long time behavior. The parallelization is shown to be essential by the numerical study of long time behavior of calcium concentration. We further present the parallel scalability of the deterministic equations for different arrangements of clusters. The main emphasis is on large scale and long time behavior of the studied equations that capture the detailed local dynamics as well as the temporal hierarchy of dynamical processes. Our approach thus extends our earlier simulations of release from single channels and clusters of channels and systematically integrates stochasticity on all scales of a cell’s calcium dynamics.

[1]  E J Sass,et al.  Characterization of cytosolic calcium oscillations induced by phenylephrine and vasopressin in single fura-2-loaded hepatocytes. , 1989, The Journal of biological chemistry.

[2]  T. Mazel,et al.  Reaction diffusion modeling of calcium dynamics with realistic ER geometry. , 2006, Biophysical journal.

[3]  M. Berridge,et al.  The versatility and universality of calcium signalling , 2000, Nature Reviews Molecular Cell Biology.

[4]  W. Huisinga,et al.  Hybrid stochastic and deterministic simulations of calcium blips. , 2007, Biophysical journal.

[5]  M. Berridge,et al.  Inositol trisphosphate and calcium signaling. , 1988, Cold Spring Harbor symposia on quantitative biology.

[6]  Peter Jung,et al.  Termination of Ca2+ Release for Clustered IP3R Channels , 2012, PLoS Comput. Biol..

[7]  Henk A. van der Vorst,et al.  Bi-CGSTAB: A Fast and Smoothly Converging Variant of Bi-CG for the Solution of Nonsymmetric Linear Systems , 1992, SIAM J. Sci. Comput..

[8]  M. Berridge Inositol trisphosphate and calcium signalling , 1993, Nature.

[9]  H. Rentz-Reichert,et al.  UG – A flexible software toolbox for solving partial differential equations , 1997 .

[10]  T. Rink,et al.  Calcium oscillations , 1989, Nature.

[11]  Jens Lang,et al.  ROS3P—An Accurate Third-Order Rosenbrock Solver Designed for Parabolic Problems , 2000 .

[12]  J. Verwer,et al.  Stability of Runge-Kutta Methods for Stiff Nonlinear Differential Equations , 1984 .

[13]  J. Putney,et al.  The inositol phosphate-calcium signaling system in nonexcitable cells. , 1993, Endocrine reviews.

[14]  Gerald Warnecke,et al.  Adaptive space and time numerical simulation of reaction-diffusion models for intracellular calcium dynamics , 2012, Appl. Math. Comput..

[15]  Andreas Dedner,et al.  A generic grid interface for parallel and adaptive scientific computing. Part II: implementation and tests in DUNE , 2008, Computing.

[16]  K. Gustafsson,et al.  API stepsize control for the numerical solution of ordinary differential equations , 1988 .

[17]  Ian Parker,et al.  Multi-dimensional resolution of elementary Ca2+ signals by simultaneous multi-focal imaging. , 2008, Cell calcium.

[18]  E. B. Ridgway,et al.  Free calcium increases explosively in activating medaka eggs. , 1977, Proceedings of the National Academy of Sciences of the United States of America.

[19]  G. Warnecke,et al.  Calcium domains around single and clustered IP3 receptors and their modulation by buffers. , 2010, Biophysical journal.

[20]  J. Marchant,et al.  Role of elementary Ca(2+) puffs in generating repetitive Ca(2+) oscillations. , 2001, The EMBO journal.

[21]  Wilhelm Huisinga,et al.  ADAPTIVE SIMULATION OF HYBRID STOCHASTIC AND DETERMINISTIC MODELS FOR BIOCHEMICAL SYSTEMS , 2005 .

[22]  D. Gillespie Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .

[23]  Toshiaki Hisada,et al.  Three-dimensional simulation of calcium waves and contraction in cardiomyocytes using the finite element method. , 2005, American journal of physiology. Cell physiology.

[24]  Matthias K. Gobbert,et al.  Long-Time Simulations on High Resolution Meshes to Model Calcium Waves in a Heart Cell , 2008, SIAM J. Sci. Comput..

[25]  Jens Lang,et al.  Towards a Fully Space-Time Adaptive FEM for Magnetoquasistatics , 2008, IEEE Transactions on Magnetics.

[26]  Matthias K. Gobbert,et al.  A memory-efficient finite element method for systems of reaction--diffusion equations with non-smooth forcing , 2004 .