A Discrete Model of the Red Blood Cell Cytoskeleton and Its Use in Immersed Boundary Method Simulations
Thomas Fai, New York University
The red blood cell cytoskeleton, which is anchored to a lipid bilayer membrane, is an elastic network that helps red cells recover from large deformations as they circulate through the body. Although the cytoskeleton has a convoluted structure, as shown in recent tomographic images, it may be modeled simply as a graph of actin-based junctional complexes (nodes) connected by spectrin polymers (edges).
We have developed a discrete cytoskeleton model that incorporates statistical properties of the cytoskeleton, such as the edge length and node degree distributions. A specialized image processing technique is used to gather these distributions directly from tomograms. The network elasticity comes from treating the spectrin polymers as entropic springs. We show that the spring constant obtained from a well-known model of entropic springs is in reasonable agreement with the experimentally determined shear modulus. By simulating the behavior of red blood cells in shear flow using a variable viscosity and variable density immersed boundary method, we have begun to compare this discrete model with its approximately 40,000 nodes to more commonly used continuum ones. We hope this model may be useful for studying the mystery of what causes red cell aging.
Abstract Author(s): Thomas Fai, Charles Peskin