- •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
210M. Herant and M. Dembo
Network–membrane interactions
The basic idea behind a network–membrane disjoining stress is that there exists a repulsive force between actin monomers (polymerized or unpolymerized) and the cortical membrane. For free (G-actin) subunits this has no dynamical consequences, as redistribution occurs freely in the cytosol. However, once subunits are sequestered into the cytoskeleton by polymerization, the repulsive force has dynamical consequences because it endows the cytoskeleton with a macroscopic stress. In other words, while free monomers cannot push back against the membrane, filaments can because they are braced by the entire inner cytoskeletal scaffolding of the cell (these concepts first came to the fore with the work of Hill and Kirschner, 1982).
To put these notions on a more formal footing, let us postulate a mean-field repulsive force between monomers (free or in a filament) and the cortical membrane that derives
from the interaction potential ψ M (r) where r is the distance from the membrane and where we set the constant by requiring limr→∞ ψ M (r) = 0. From equilibrium thermodynamics, we can relate the ratio of free monomer concentration far away ([Mfree(∞)]) and at distance r with the interaction potential as a Boltzmann factor:
[Mfree(r)] |
= |
exp |
|
ψ M (r) |
. |
(10.11) |
[Mfree(∞)] |
|
− kB T |
|
Here we can think of ψ M (r) as the average work required to bring a monomer from infinity to distance r from the membrane.
At the same time we have the chemical reaction between the polymerized and unpolymerized state of the monomer.
Mfree Mbound. |
(10.12) |
Taking actin as an example where addition of free monomers into polymers occurs at the barbed ends of filaments, there exists a critical free-monomer density [Mcritfree] above which reaction 10.12 is driven to the right and below which it is driven to the left.
We need to examine 10.12 in the light of 10.11. Let us assume that the membrane– monomer interaction potential ψ M (r) decreases monotonously with distance from the membrane, and further that it is infinite (or very large) at zero distance from the membrane (see Fig. 10-2; in other words, the monomer is excluded from the membrane by a hard-core potential). Then it should be clear that in a region near the membrane, [Mfree(r)] is smaller than [Mcritfree], and hence that there cannot be any monomers added into polymers in this region. This region is labeled the ‘gap’ in Fig. 10-2. Advected polymers may appear in the gap, but unless they are stabilized by capping, they will tend to disassemble.
Further away from the membrane, ψ M (r) decreases to the point that [Mfree(r)] is smaller than [Mcritfree] and this allows the elongation of polymers by driving free monomers from the free to the bound state. Assuming that the polymerization of free monomers is rapid, we then have a region where [Mfree(r)] [Mcritfree]. This means that for the region of interest, that is, where polymerization is allowed to take place
(outside the gap) but within the region where membrane–monomer interaction is still
Active cellular protrusion: continuum theories and models |
211 |
|
ψ |
networ–kmembrane |
|
potential |
|
|
|
|
|
δ |
|
|
|
r |
rearward |
|
outward |
cytoskeletal |
|
membrane |
velocity |
|
velocity |
polymerization gap zone
Fig. 10-2. Cartoon of network-membrane interactions.
significant, we have
ψ M (r) |
= |
kB T ln |
[Mfree(∞)] |
. |
(10.13) |
|
|||||
|
|
Mcritfree |
|
This region is labeled ‘polymerization zone’ in Fig. 10-2; within a network–membrane interaction model, it is that region that determines the dynamics of protrusion. Of note is that polymerization could take place further back, but that regions further to the rear do not have a dynamical impact because there, ψ M (r) 0.
The force exerted by the membrane on a monomer (free or bound) is given by − · ψ M , and by action and reaction, this is the opposite of the force fM exterted by the monomer on the membrane. If δ is the range of the potential (we assume the gap region to be small), then we approximately have
fM |
= |
|
kB T |
ln |
[Mfree(∞)] |
n. |
(10.14) |
|
|
||||||
|
|
δ |
Mcritfree |
|
If we further assume that most of the monomers in the vicinity of the membrane are sequestered in the cytoskeletal phase, the total force-per-unit area of the membrane is given by the number of monomers within range times the force per unit monomer:
M |
= |
θn |
δ |
× |
kB T |
ln |
[Mfree(∞)] |
n |
= |
θn |
kB T ln |
[Mfree(∞)] |
n, |
(10.15) |
|
|
|
|
|||||||||||
|
VM |
δ |
Mcritfree |
VM |
Mcritfree |
|
where VM is the volume of a monomer. For actin networks, 10−7cm)3, so that for normal temperature conditions
M = 5 × 105θn ln [Mfree(∞)] dyn cm−2.
Mcritfree
VM = (4π/3)(2.7 ×
(10.16)
212M. Herant and M. Dembo
Natural logarithms of even very large numbers are seldom more than 10, and maximal volume fractions of cytoskeleton are 2% (see Hartwig and Shevlin, 1986). The
maximum disjoining stress at the membrane/cytoskeleton interface is thus of order 105 dyn cm−2 (104 Pa, 100 cm H2O).
Network dynamics near the membrane
One should be cautious not to assimilate the force-per-unit area of membrane or stress given in Eq. 10.16 to a protrusive force; in general the net outward force at the membrane as could theoretically be measured with a constraining spring would be considerably less. There are two reasons for this.
1.Imperfect cytoskeletal bracing against backflow: unless there exists some sort of mechanism to brace the cytoskeleton near the membrane, it will simply slide back, negating any outward force. In general, such bracing is expected to be provided by the viscoelastic properties of the cytoskeleton interior to the boundary layer, which transports stress to whatever is bracing the cell (in other words, the substratum).
2.Imperfect cytoskeletal decoupling from the membrane: if the cytoskeleton is somehow anchored to the membrane and cannot flow back, the stress FM is simply carried by the anchors and no outward force results.
We will assume here that the second condition is appropriately fulfilled, although experimental evidence is sometimes contradictory (for example, Listeria actin tails are attached to the Listeria, Gerbal et al., 2000). Let us further assume that the counteracting force to rear flow is provided by interior cytoskeletal viscosity. In that case, simple dimensional analysis (which can be made more rigorous, see Herant et al., 2003) gives
v |
M δ |
(10.17) |
ν |
where ν is the viscosity and v is the velocity change near the membrane (see Fig. 10-2). In the case of perfect bracing and no external opposing force, the protrusive velocity is then v, but in the general case it will be less. In the limit of a stalled protrusion, the protrusive velocity is zero while the retrograde flow of cytoskeleton is − v. Note that within this picture, the important parameter is not the magnitude of M but rather its product with the range of the membrane–network interaction
M δ.
Finally, an interesting finding is that, if one assumes that the constitutive laws for the viscosity and for the network–membrane force have the same dependence on the cytoskeletal concentration, for example ν = ν0θn , M 0M θn , then one notices that Eq. 10.17 implies that v is independent of the network concentration near the membrane. Using numerical values for ν0 (6 × 106 poise, see Herant et al., 2003) and 0M (upper limit 5 × 106 dyn cm−2, see Eq. 10.16), one gets v < δ s−1. Typical velocities v at the leading edge are at least 10 nm s−1 and may range to as high as 0.5 µm s−1, (see Theriot and Mitchison 1992), which means that δ, the characteristic range of interaction, must be greater than 10 nm and even reach 0.5 µm.