
- •Contents
- •Contributors
- •Preface
- •1 Introduction, with the biological basis for cell mechanics
- •Introduction
- •The role of cell mechanics in biological function
- •Maintenance of cell shape
- •Cell migration
- •Mechanosensing
- •Stress responses and the role of mechanical forces in disease
- •Active cell contraction
- •Structural anatomy of a cell
- •The extracellular matrix and its attachment to cells
- •Transmission of force to the cytoskeleton and the role of the lipid bilayer
- •Intracellular structures
- •Overview
- •References
- •2 Experimental measurements of intracellular mechanics
- •Introduction
- •Forces to which cells are exposed in a biological context
- •Methods to measure intracellular rheology by macrorheology, diffusion, and sedimentation
- •Whole cell aggregates
- •Sedimentation of particles
- •Diffusion
- •Mechanical indentation of the cell surface
- •Glass microneedles
- •Cell poker
- •Atomic force microscopy
- •Mechanical tension applied to the cell membrane
- •Shearing and compression between microplates
- •Optical traps
- •Magnetic methods
- •Twisting of magnetized particles on the cell surface and interior
- •Passive microrheology
- •Optically detected individual probes
- •One-particle method
- •Two-particle methods
- •Dynamic light scattering and diffusing wave spectroscopy
- •Fluorescence correlation spectroscopy
- •Optical stretcher
- •Acoustic microscopy
- •Outstanding issues and future directions
- •References
- •3 The cytoskeleton as a soft glassy material
- •Introduction
- •Magnetic Twisting Cytometry (MTC)
- •Measurements of cell mechanics
- •The structural damping equation
- •Reduction of variables
- •Universality
- •Scaling the data
- •Collapse onto master curves
- •Theory of soft glassy rheology
- •What are soft glassy materials
- •Sollich’s theory of SGMs
- •Soft glassy rheology and structural damping
- •Open questions
- •Biological insights from SGR theory
- •Malleability of airway smooth muscle
- •Conclusion
- •References
- •4 Continuum elastic or viscoelastic models for the cell
- •Introduction
- •Purpose of continuum models
- •Principles of continuum models
- •Boundary conditions
- •Mechanical and material characteristics
- •Example of studied cell types
- •Blood cells: leukocytes and erythrocytes
- •Limitations of continuum model
- •Conclusion
- •References
- •5 Multiphasic models of cell mechanics
- •Introduction
- •Biphasic poroviscoelastic models of cell mechanics
- •Analysis of cell mechanical tests
- •Micropipette aspiration
- •Cells
- •Biphasic properties of the pericellular matrix
- •Indentation studies of cell multiphasic properties
- •Analysis of cell–matrix interactions using multiphasic models
- •Summary
- •References
- •6 Models of cytoskeletal mechanics based on tensegrity
- •Introduction
- •The cellular tensegrity model
- •The cellular tensegrity model
- •Do living cells behave as predicted by the tensegrity model?
- •Circumstantial evidence
- •Prestress-induced stiffening
- •Action at a distance
- •Do microtubules carry compression?
- •Summary
- •Examples of mathematical models of the cytoskeleton based on tensegrity
- •The cortical membrane model
- •Tensed cable nets
- •Cable-and-strut model
- •Summary
- •Tensegrity and cellular dynamics
- •Conclusion
- •Acknowledgement
- •References
- •7 Cells, gels, and mechanics
- •Introduction
- •Problems with the aqueous-solution-based paradigm
- •Cells as gels
- •Cell dynamics
- •Gels and motion
- •Secretion
- •Muscle contraction
- •Conclusion
- •Acknowledgement
- •References
- •8 Polymer-based models of cytoskeletal networks
- •Introduction
- •The worm-like chain model
- •Force-extension of single chains
- •Dynamics of single chains
- •Network elasticity
- •Nonlinear response
- •Discussion
- •References
- •9 Cell dynamics and the actin cytoskeleton
- •Introduction: The role of actin in the cell
- •Interaction of the cell cytoskeleton with the outside environment
- •The role of cytoskeletal structure
- •Actin mechanics
- •Actin dynamics
- •The emergence of actin dynamics
- •The intrinsic dynamics of actin
- •Regulation of dynamics by actin-binding proteins
- •Capping protein: ‘decommissioning’ the old
- •Gelsolin: rapid remodeling in one or two steps
- •β4-thymosin: accounting (sometimes) for the other half
- •Dynamic actin in crawling cells
- •Actin in the leading edge
- •Monomer recycling: the other ‘actin dynamics’
- •The biophysics of actin-based pushing
- •Conclusion
- •Acknowledgements
- •References
- •10 Active cellular protrusion: continuum theories and models
- •Cellular protrusion: the standard cartoon
- •The RIF formalism
- •Mass conservation
- •Momentum conservation
- •Boundary conditions
- •Cytoskeletal theories of cellular protrusion
- •Network–membrane interactions
- •Network dynamics near the membrane
- •Special cases of network–membrane interaction: polymerization force, brownian and motor ratchets
- •Network–network interactions
- •Network dynamics with swelling
- •Other theories of protrusion
- •Numerical implementation of the RIF formalism
- •An example of cellular protrusion
- •Protrusion driven by membrane–cytoskeleton repulsion
- •Protrusion driven by cytoskeletal swelling
- •Discussion
- •Conclusions
- •References
- •11 Summary
- •References
- •Index
5 Multiphasic models of cell mechanics
Farshid Guilak, Mansoor A. Haider, Lori A. Setton, Tod A. Laursen, and Frank P.T. Baaijens
ABSTRACT: Cells are highly complex structures whose physiology and biomechanical properties depend on the interactions among the varying concentrations of water, charged or uncharged macromolecules, ions, and other molecular components contained within the cytoplasm. To further investigate the mechanistic basis of the mechanical behaviors of cells, recent studies have developed models of single cells and cell–matrix interactions that use multiphasic constitutive laws to represent the interactions among solid, fluid, and in some cases, ionic phases of cells. The goals of such studies have been to characterize the relative contributions of different physical mechanisms responsible for empirically observed phenomena such as cell viscoelasticity or volume change under mechanical or osmotic loading, and to account for the coupling of mechanical, chemical, and electrical events within living cells. This chapter describes several two-phase (fluid-solid) or three-phase (fluid-solid-ion) models, originally developed for studying soft hydrated tissues, that have been extended to describe the biomechanical behavior of individual cells or cell–matrix interactions in various tissue systems. The application of such “biphasic” or “triphasic” continuum-based approaches can be combined with other structurally based models to study the interactions of the different constitutive phases in governing cell mechanical behavior.
Introduction
Cells of the human body are regularly subjected to a complex mechanical environment, consisting of temporally and spatially varying stresses, strains, fluid flow, osmotic pressure, and other biophysical factors. In many cases, the mechanical properties and the rheology of cells play a critical role in their ability to withstand mechanical loading while performing their physiologic functions. In other cases, mechanical factors serve as important signals that influence, and potentially regulate, cell phenotype in both health and disease. An important goal in the field of cell mechanics thus has been the study of the mechanical properties of the cell and its biomechanical interactions with the extracellular matrix. Accordingly, such approaches have required the development of constitutive models based on realistic cellular structure and composition to better describe cell behavior.
Based on empirical studies of cell mechanical behavior, continuum models of cell mechanics generally have assumed either fluid or solid composition and cell properties, potentially including cortical tension at the membrane (Evans and Yeung,
84
Multiphasic models of cell mechanics |
85 |
1989; Dong et al., 1991; Needham and Hochmuth, 1992; Karcher et al., 2003). In other approaches, the elastic behavior of the cell has been described using structural models such as the “tensegrity” approach (Ingber, 2003). Most such models have employed constitutive models that assume cells consist of a single-phase material (that is, fluid or solid), as detailed in Chapters 4, and 6. However, a number of recent studies have developed models of single cells and cell–matrix interactions that use multiphasic constitutive laws to account for interactions among solid, fluid, and in some cases, ionic phases of cells. The goals of such studies have been to characterize the relative importance of the mechanisms accounting for empirically observed phenomena such as cell volume change under mechanical or osmotic loading, the mechanistic basis responsible for cell viscoelasticity, and the coupling of various mechanical, chemical, and electrical events within living cells. The presence of these behaviors, which arise from interactions among different phases, often cannot be described by single-phase models.
The cell cytoplasm may consist of varying concentrations of water, charged or uncharged macromolecules, ions, and other molecular components. Furthermore, due to the highly charged and hydrated nature of its various components (Maughan and Godt, 1989; Cantiello et al., 1991), the cytoplasm’s gel-like properties have been described under several different contexts see for example Chapter 7 and Pollack (2001). Much of the supporting data for the application of multiphasic models of cells has come from the study of volumetric and morphologic changes of cells in response to mechanical or osmotic loading. The majority of work in this area has been performed on cells of articular cartilage (chondrocytes), likely due to the fact that these cells are embedded within a highly charged and hydrated extracellular matrix that has been modeled extensively using multiphasic descriptions. For example (see Fig. 5-1), chondrocytes in articular cartilage exhibit significant changes in shape and volume that occur in coordination with the deformation and dilatation of the extracellular matrix (Guilak, 1995; Guilak et al., 1995; Buschmann et al., 1996). By using generalized continuum models of cells and tissue, the essential characteristics of cell and tissue mechanics and their mechanical interactions can be better understood. In this chapter, we describe several experimental and theoretical approaches for studying the multiphasic behavior of living cells.
Biphasic (solid–fluid) models of cell mechanics
Viscoelastic behavior in cells can arise from both flow-dependent (fluid–solid interactions and fluid viscosity) and flow-independent mechanisms (for example, intrinsic viscoelasticity of the cytoskeleton). Previous studies have described the cytoplasm of “solid-like” cells as a gel or as a porous-permeable, fluid-saturated meshwork (Oster, 1984; Oster, 1989; Pollack, 2001) such that the forces within the cell exhibit a balance of stresses arising from hydrostatic and osmotic pressures and the elastic properties of the cytoskeleton. This representation of cell mechanical behavior is consistent with the fundamental concepts of the biphasic theory, which has been used to represent the mechanical behavior of soft hydrated tissues as being that of a two-phase material. This continuum mixture theory approach has been adopted in several studies to model volumetric and viscoelastic cell behaviors and to investigate potential mechanisms

86 F. Guilak et al.
Fig. 5-1. Three-dimensional reconstructions of viable chondrocytes within the extracellular matrix before (left) and after (right) compression of the tissue to 15% surface-to-surface tissue strain. Significant changes in chondrocyte height and volume were observed, showing that cellular deformation was coordinated with deformation of the tissue extracellular matrix.
responsible for cell mechanical behavior (Bachrach et al., 1995; Shin and Athanasiou, 1999; Guilak and Mow, 2000; Baaijens et al., 2005; Trickey et al., 2006).
Modern mixture theories (Truesdell and Toupin, 1960; Bowen, 1980) provide a foundation for multiphasic modeling of cell mechanics as well as of soft hydrated tissues. The biphasic model (Mow et al., 1980; Mow et al., 1984), based on Bowen’s theory of incompressible mixtures (Bowen, 1980), has been widely employed in modeling the mechanics of articular cartilage and other musculoskeletal tissues, such as intervertebral disc (Iatridis et al., 1998), bone (Mak et al., 1997), or meniscus. (Spilker et al., 1992). In such models, the cell or tissue is idealized as a porous and permeable solid material that is saturated by a second phase consisting of interstitial fluid (water with dissolved ions). Viscoelastic behavior can arise from intrinsic viscoelasticity of the solid phase, or from diffusive drag between the solid and fluid phases.
In the biphasic theory, originaly developed to describe the mechanical behavior of soft, hydrated tissues (Mow et al., 1980), the momentum balance laws for the solid and fluid phases, respectively, are written as:
· σs + Π = 0, · σ f − Π = 0 |
(5.1) |
where σs and σ f are partial Cauchy stress tensors that measure the force per unit mixture area on each phase. The symbol Π denotes a momentum exchange vector that accounts for the interphase drag force as fluid flows past solid in the mixture. Note that, in biphasic models of cells or cartilage, the contribution of inertial terms to the momentum balance equations is negligible, as the motion is dominated by elastic deformation and diffusive drag and occurs at relatively low frequencies. The mixture is assumed to be intrinsically incompressible and saturated, so that:
· (φs u˙ s + φ f v f ) = 0, where φs + φ f = 1, |
(5.2) |

Multiphasic models of cell mechanics |
87 |
us is the solid displacement, v f is the fluid velocity, and φs is the solid volume fraction. For example, under the assumption of infinitesimal strain, with isotropic solid phase and inviscid fluid phase, while the momentum exchange is described by Darcy’s Law, the resulting constitutive laws are:
σs = −φs pI + λs tr (e)I + 2µs e, σ f = −φ f pI, Π = K (v f − u˙ s ) (5.3)
where I is the identity tensor, p is a pore pressure used to enforce the incompressibility constraint, e = 1/2[ us + ( us )T ] is the infinitesimal strain tensor, λs, µs are Lam´e coefficients for the solid phase, and K is a diffusive drag coefficient. The Lam´e coefficients λs, µs are associated with “drained” elastic equilibrium states that occur under static loading when all fluid flow has ceased in the mixture. An alternate set of elastic moduli are the Young’s modulus E s and Poisson ratio νs (0 ≤ νs < 0.5) where
µs = E s s is the solid phase shear modulus and λs =
2(1+ν )
For this linear biphasic model, by substituting Eq. 5.3 into Eq. 5.1, the governing equations Eq. 5.1 and Eq. 5.2 constitute a system of seven equations in the seven unknowns us, v f, p. The fluid velocity v f is commonly eliminated to yield a “u-p formulation” consisting of the four equations:
∂t ( |
· |
us ) |
= |
k |
|
2 p, µs |
|
|
1 |
( |
· |
us ) |
+ |
2us |
= |
p |
(5.4) |
|
1 |
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2νs |
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− |
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where k = (φ f )2/K is the permeability. The fluid velocity is then given by:
v f = ∂t us − |
φ f |
(5.5) |
K p |
The governing equations Eqs. 5.4–5.5 illustrate a common formulation of the linear isotropic biphasic model. Within the framework of Eqs. 5.1–5.2, this fundamental model can be extended to account for additional mechanisms via modification of the constitutive relations in Eq. 5.3. Such mechanisms have included transverse isotropy of the solid phase, large deformation, solid matrix viscoelasticity, nonlinear strain-dependent permeability, intrinsic fluid viscosity, and tension-compression nonlinearity (Lai et al., 1981; Holmes et al., 1985; Cohen et al., 1998).
Biphasic poroviscoelastic models of cell mechanics
In other approaches, both the flow-dependent and flow-independent viscoelastic behaviors have been taken into account to describe transient cell response to loading. This type of approach has been used previously to separate the influence of “intrinsic” viscoelastic behavior of the solid extracellular matrix of tissues such as articular cartilage from the timeand rate-dependent effects due to fluid–solid interactions in the tissue (Mak, 1986a; Mak, 1986b; Setton et al., 1993; DiSilvestro and Suh, 2002).
For example, in modeling the creep response of chondrocytes during both full and partial micropipette aspiration (Baaijens et al., 2005; Trickey et al., in press), it was found that an elastic biphasic model cannot capture the time-dependent response of chondrocytes accurately (Baaijens et al., 2005). To examine the relative contributions of intrinsic solid viscoelasticity (solid–solid interactions) as compared to biphasic viscoelastic behavior (fluid–solid interactions), a large strain, finite element simulation
88F. Guilak et al.
of the micropipette aspiration experiment was developed to model the cell using finite strain incompressible and compressible elastic models, a two-mode compressible viscoelastic model, a biphasic elastic, or a biphasic viscoelastic model.
Assuming isotropic and constant permeability, the governing equations Eq. 5.1 and 5.2 may be rewritten (Mow et al., 1980; Sengers et al., 2004) as:
· σ − p = 0 |
(5.6) |
· v − · k p = 0
where v denotes the solid velocity. If a viscoelastic model is used to investigate the time-dependent behavior, a two-mode model may be used. The stress tensor is split into an elastic part and a viscoelastic part:
σ = σe + τ. |
(5.7) |
If a finite strain formulation is used, a suitable constitutive model for the compressible elastic contribution can be given by
|
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G |
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σe = κ (J − 1)I + |
|
(B − J 2/3I), |
(5.8) |
||||
J |
|||||||
where, using the deformation tensor F |
= |
( |
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|
|
the gradient operator with |
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|
|
0 x )T with 0 |
respect to the reference configuration, the volume ratio is given by J = det(F), and the right Cauchy-Green tensor by B = F ·FT . The material parameters κ and G denote the compressibility modulus and the shear modulus, respectively. The viscoelastic response is modeled using a compressible Upper Convected Maxwell model:
|
+ |
1 |
τ = 2Gv D |
d |
(5.9) |
τ |
λ |
|
where the operator denotes the upper-convected time derivative (Baaijens, 1998), and Dd is the deviatoric part of the rate of deformation tensor, defined by:
Dd = D − |
1 |
tr (D) I, |
where D = |
1 |
(F˙ · F−1 + F−T · F˙ T ) |
(5.10) |
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|||||
3 |
2 |
Gv is the modulus and λ is the relaxation time of the viscoelastic mode.
Multiphasic and triphasic models (solid–fluid–ion)
In response to alterations in their osmotic environment, cells passively swell or shrink. The capability of the biphasic model to describe this osmotic response is limited to the determination of effective biphasic material parameters that vary with extracellular osmolality. The triphasic continuum mixture model (Lai et al., 1991) provides a framework that has the capability to more completely describe mechanochemical coupling via both mechanical and chemical material parameters in the governing equations. This model has been successfully employed in quantitative descriptions of mechanochemical coupling in articular cartilage, where the aggrecan of the extracellular matrix gives rise to a net negative fixed-charge density within the tissue. Similar approaches have been used to describe other charged hydrated soft tissues (Huyghe et al., 2003).