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Biophys J, September 1998, p. 1141-1142, Vol. 75, No. 3

NEW AND NOTABLE
Modeling Nonlinear Red Cell Elasticity

Udo Seifert

Max-Planck-Institut für Kolloid und Grenzflächenforschung, Teltow, Germany

    ARTICLE

The remarkable elasticity of red cells shows up under a variety of conditions both in vivo and in controlled experiments on single cells. Squeezed through narrow capillaries with diameters significantly smaller than the cells themselves, they perfectly recover their biconcave resting shape countless times during their life cycle of about 100 days in the circulatory system. Likewise, this normal biconcave shape undergoes drastic transformations if the physiochemical conditions are changed by, for example, cholesterol depletion, which causes a transition from discocytes to cup-shaped stomatocytes. All these deformations imply both nonlinearity and anisotropy, because the intermediate or final shapes differ substantially from the initial biconcave rest shape. Micropipet aspiration has become the paradigmatic method for the controlled study of strong deformation.

How can the elastic behavior of the red blood cell in these conditions be understood quantitatively on the basis of the molecular architecture of its compound membrane? This question has intrigued biophysicists for nearly 30 years. Based on a body of earlier work, Discher, Boal and Boey have now made big progress in modeling the erythrocyte membrane, as reported in two companion papers in this issue (Boey et al., 1998; Discher et al., 1998). Their success consists in exploiting and finally resolving both the structural duality and the dichotomy of scales of the red cell.

The structural duality resides in the membrane's two-component structure consisting of the lipid bilayer to which a protein network is attached. Clearly the influence of the spectrin net on elasticity is profound, in particular because it endows the cell with some shear resistance. Investigators pursuing a reductionist approach have systematically studied the bare fluid membrane elasticity during the last ten years both theoretically and experimentally by using giant vesicles. These studies have shown that a large variety of shapes and shape transformations can be explained simply on the basis of curvature elasticity and constraints on area and volume (Seifert, 1997). On the other hand, the same studies have also revealed that this simple one-component model membrane lacking the network does not form anything like the spicules of echinocytes.

Network elasticity is much harder to model for strong deformations such as those encountered in aspiration. Continuum models have two related weaknesses (Elgsaeter and Mikkelsen, 1991). First, nonlinear elasticity is difficult to implement without introducing some arbitrariness. Second, the contribution of thermal fluctuations to the configurations of the network can be incorporated easily only on the linear level. On the other hand, computer simulations of discrete networks have been devoted to almost planar configurations with a few exceptions concerning polymerized vesicles (Gompper and Kroll, 1997).

Exploiting the dichotomy of scales between the mesh size of about 70 nm and the scale of the cell about 100 times larger, Discher and co-workers have successfully modeled a whole cell undergoing strong deformation using a two-step simulation approach. First, they simulated an almost planar two-dimensional network modeling each spectrin strand between the junctions as a polymer with about 10 to 20 monomers. Such simulations yield area-pressure characteristics and elastic parameters even for the nonlinear regime where steric interactions between the strands (for strong compression) and finite extendability (for strong stretching) become important. Although it would be desirable to use this model for the whole cell, the computational cost of such a full-scale simulation is still prohibitive. The clever idea of Discher and co-workers is to use these small-scale simulations to calibrate parameter values of a coarse-grained model for the network, keeping only the junctions which interact through two and three body potentials. The functional form of these potentials is chosen to reproduce the elasticity of the more detailed model. In the second step, the network of junctions is put on a closed fluid bilayer membrane with rigidity, thus modeling the compound membrane. Simulation of the whole cell, e.g., in an aspiration experiment, is made possible through this significant reduction in the number of degrees of freedom.

Discher et al. have thus been able to bridge the gap between the mesh size scale and that of the whole cell. As a first illustration, they demonstrate the power of this quantitative approach by comparing the calculated network density profile in the aspirated tongue with that obtained from fluorescence imaging experiments. Such a comparison reveals that the cytoskeleton seems to be prestressed, i.e., the junctions are closer together than they would be in an isolated cytoskeleton. A possible origin of this effect could be the loss of bilayer material in the early stages of cell maturation.

In the future, Discher and colleagues' model (and ramifications still to be developed) can be applied to several interesting problems highlighted in the following incomplete list. First, even though breaking of axisymmetry has not been crucial in the aspiration experiment, this model can be used to investigate distinctly nonaxisymmetric shapes such as echinocytes that would be difficult to study with continuum models. In such a study one should allow for the expected partial separation between network and bilayer. Second, in this model both the bilayer and the network are still homogeneous, whereas the bilayer membrane of real cells consists of various lipids and integrated proteins and the real network has a significant number of defects. How does this inhomogeneity affect and how is it affected by strong deformations? Such a question can be addressed by decorating this model with additional particles modeling the proteins and by introducing network defects. Depending on the interactions of proteins with both the membrane and the network, enrichment or depletion will occur in a manner sensitive to local curvature and network distortion.

Finally, an outstanding challenge will be to extend this approach to study of the dynamics of shape changes induced by external hydrodynamic fields such as shear or capillary flow. This will require incorporating long-range hydrodynamic interactions into the model, a task recently achieved in the simpler model system of fluid bilayer vesicles (Kraus et al., 1996). Discher and colleagues' model and its future refinements can take us closer to a quantitative understanding of the remarkable mechanochemical properties of the red blood cell.

    FOOTNOTES

Received for publication 16 June 1998.

Address reprint requests to Udo Seifert, Max-Planck-Institut für Kolloid und Grenzflächenforschung, Kantstrasse 55, D-14513 Teltow, Germany. Tel.: 49-3328-46594; Fax: 49-3328-46212; E-mail: useifert{at}menkar.mpikg-teltow.mpg.de.

    REFERENCES

Biophys J, September 1998, p. 1141-1142, Vol. 75, No. 3
© 1998 by the Biophysical Society   0006-3495/98/09/1141/02  $2.00




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Copyright © 1998 by the Biophysical Society.