| Protein Localization by Actin Treadmilling and Molecular Motors Regulates Stereocilia Shape and Treadmilling Rate Biophysical Journal, Volume 95, Issue 12, 15 December 2008, Pages 5706-5718 Moshe Naoz, Uri Manor, Hirofumi Sakaguchi, Bechara Kachar and Nir S. Gov Abstract We present a physical model that describes the active localization of actin-regulating proteins inside stereocilia during steady-state conditions. The mechanism of localization is through the interplay of free diffusion and directed motion, which is driven by coupling to the treadmilling actin filaments and to myosin motors that move along the actin filaments. The resulting localization of both the molecular motors and their cargo is calculated, and is found to have an exponential (or steeper) profile. This localization can be at the base (driven by actin retrograde flow and minus-end myosin motors), or at the stereocilia tip (driven by plus-end myosin motors). The localization of proteins that influence the actin depolymerization and polymerization rates allow us to describe the narrow shape of the stereocilia base, and the observed increase of the actin polymerization rate with the stereocilia height. Abstract | Full Text | PDF (1113 kb) |
| Analysis of Serial Engagement and Peptide-MHC Transport in T Cell Receptor Microclusters Biophysical Journal, Volume 94, Issue 9, 1 May 2008, Pages 3447-3460 Omer Dushek and Daniel Coombs Abstract In experiments where T cells interact with antigen-presenting-cells or supported bilayers bearing specific peptide-major-histocompatibility-complex (pMHC) molecules, T cell receptors (TCR) have been shown to form stable micrometer-scale clusters that travel from the periphery to the center of the contact region. pMHC molecules bind TCR on the opposing surface but the pMHC-TCR bond is weak and therefore pMHC can be expected to serially bind and unbind from TCR within the contact region. Using a novel mathematical analysis, we examine serial engagement of mobile clustered TCR by a single pMHC molecule. We determine the time a pMHC can be expected to remain within a TCR cluster. This also allows us to estimate the number of clustered TCR that are serially bound, and the distance a pMHC is transported by the clustered TCR. We find that TCR-pMHC binding alone does not allow substantial serial engagement of TCR and that the pMHC molecules are usually not transported to the center of the contact region by a single TCR cluster. We show that the presence of TCR coreceptors such as CD4 and CD8, or pMHC dimerization on the antigen-presenting cells, can substantially increase serial engagement and directed transport of pMHC. Finally, we analyze the effects of multiple TCR microclusters, showing that the size of individual clusters only weakly affects our prediction of TCR serial engagement by pMHC. Throughout, we draw parameter estimates from published data. Abstract | Full Text | PDF (571 kb) |
| Integrated Luminal and Cytosolic Aspects of the Calcium Release Control Biophysical Journal, Volume 84, Issue 3, 1 March 2003, Pages 1470-1485 Irina Baran Abstract We propose here a unitary approach to the luminal and cytosolic control of calcium release. A minimal number of model elements that realistically describe different data sets are combined and adapted to correctly respond to various physiological constraints. We couple the kinetic properties of the inositol 1,4,5 trisphosphate receptor/calcium channel with the dynamics of Ca and K in both the lumen and cytosol, and by using a detailed simulation approach, we propose that local (on a radial distance ∼2m) calcium oscillations in permeabilized cells are driven by the slow inactivation of channels organized in discrete clusters composed of between six and 15 channels. Moreover, the character of these oscillations is found to be extremely sensitive to K, so that the cytosolic and luminal calcium variations are in or out of phase if the store at equilibrium has tens or hundreds M Ca, respectively, depending on the K gradient across the reticulum membrane. Different patterns of calcium signals can be reproduced through variation of only a few parameters. Abstract | Full Text | PDF (300 kb) |
Copyright © 2007 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 92, Issue 11, L93-L95, 1 June 2007
doi:10.1529/biophysj.107.105213
Biophysical Letters
Address reprint requests and inquiries to Jason M. Haugh, Tel.: 919-513-3851; Fax: 919-515-3465.The spatial distribution of activated enzymes in cells and the role of cytosol-membrane translocation in enzyme activation are appreciated as critical determinants of intracellular signal transduction 1,2,3,4. In the arena of biophysical modeling, the role of membrane translocation in enhancing and compartmentalizing the activation of signaling pathways has been evaluated 5. A related consideration is the tendency to form gradients of activated proteins in the cytosol 6, which has been analyzed recently to take into account the effect of cell morphology. By the cell’s thinning down toward its leading edge, and in thin structures such as filopodia, the concentrations of active signaling proteins could be amplified, providing a potentially important mechanism for cell migration 7. In this letter, the problem is revisited to include membrane binding as a prerequisite for protein activation.
The formulation of the problem builds upon previous work 5, and, where practical, the same notation is used. In that framework, activation is by phosphorylation, mediated by a kinase, and deactivation is by dephosphorylation, mediated by phosphatases. The cytosolic protein of interest binds to free binding sites on the membrane (association rate constant kon, dissociation rate constant koff); it may be activated only while membrane-bound (activation rate constant kk). The active protein may be deactivated in either the cytosol (rate constant
) or at the membrane (rate constant
). For now, it is assumed that the activation status of the protein does not affect the kinetics of membrane binding, nor does it affect the mobility coefficient of the protein in cytoplasm (D). The lateral mobility of membrane-bound protein is neglected.
Given these assumptions, steady-state conservation equations and boundary conditions are derived for the concentrations of cytosolic protein in the active (
) and inactive (
) states and the densities of membrane-bound protein in the active (Sm*) and inactive (Sm) states. An input to the model is the density of free membrane-binding sites, nm. The problem is solved for an ideal geometry, that of a flat cell of gradually varying height, measured in the z-direction. There is a symmetry condition at the centerline of the cytosol (z=0), located a distance h(x,y) away from the membrane. For a signaling protein excluded from the nucleus, z=0 corresponds to the nuclear surface, and h(x,y) in that region is the distance between the plasma membrane and nucleus. As shown by Aris in the context of porous catalysts 8, the flat slab is a reasonable approximation for other geometries, taking the characteristic size to be the volume/surface area ratio.
The derivation is presented in full in the Supplemental Material . The fraction of cytosolic protein in the active state, as a function of z, is given by
![]() | (1) |
As explained previously 5, the lumped parameter ϕ characterizes the active fraction of the protein if all of it were membrane-bound, whereas Q is the exchange quotient characterizing the number of protein modifications during a membrane encounter. Two important length scales, other than h, are identified. The first is the penetration depth dp (Lgradient in 7), which characterizes the persistence of active signaling protein as it diffuses in the cytosol. Neglecting diffusion in the (x,y) plane is justified when its characteristic dimension, R, is≫dp; corrections for finite R/dp, and accounting for nonuniform nm(x,y), are readily obtained (Supplementary Material and 9). The second length scale, dc, is defined as the capture distance, the value of h where, in the limit of fast diffusion, membrane binding of active protein and its deactivation in the cytosol are equally probable. When h<dc, binding is favored based on the higher membrane area per unit volume. The grouping Qdc recognizes that membrane binding does not necessarily result in a change in activation state. The fraction of membrane-bound protein in the active state is given by
![]() | (2) |
Eqs. (1) reveal that both the membrane-proximal cytosolic concentration and membrane-bound density of active protein depend on h, and this dependence does not necessarily go away by assuming a high rate of activation (ϕ≈1). The accuracy of this model was tested and confirmed by comparison with numerical calculations performed on a nonideal geometry reminiscent of a spreading cell (Fig. S1 in the Supplementary Material ).
The following ranges are taken for the parameters:
; konnm≈(105−107M−1s−1)(1–103sites/μm2)=2×10−4–20μm/s; D≈1–100μm2/s. With these conservative estimates, the pertinent length scales dp and dc span wide ranges that include cellular dimensions (h ≈ 0.1–10μm): dp ≈ 0.1–30μm, dc ≈ 2×10−6–200μm. The ratio of these length scales is given by
. From the model equations and parameter estimates, four plausible length-scale regimes are identified (Table 1).
| Table 1 Length-scale regimes of the model |
| Regime | * | † | ‡ | ||
|---|---|---|---|---|---|
| I: h≫dp≫Qdc | ϕQdc / h | ϕQdc / dp | ϕQ | ||
| II: dp≫h≫Qdc | ϕQdc / h | ϕQdc / h | ϕQ | ||
| III: h≫dp, Qdc≫dp | ϕdp / h | ϕ | ϕ | ||
| IV: dp≫h, Qdc≫h | ϕ | ϕ | ϕ | ||
| * Fraction of active protein in the cytosol, averaged over z. † Fraction of active protein at the periphery of the cytosol. ‡ Fraction of active protein bound at the membrane. |
From this analysis, the following conclusions apply to a cell in which hmax≥h≥hmin. First, the average cytosolic activity tends to be amplified as h shrinks. This effect will be significant as long as hmax is significantly greater than either dp or Qdc (Regime I, II, or III). It is not necessary that hmax>dp. Second, the cytosolic activity adjacent to the membrane tends to be amplified as h shrinks. This effect is negligible, however, if either dp<Qdc or hmin>dp; h must pass through Regime II. Third, the density of membrane-bound activity tends to be amplified as h shrinks. This effect is negligible, however, if either dp<Qdc, hmin≫Qdc, or Q≈1. There must be a transition from Regime II to Regime IV, with Q significantly <1. In the Supplementary Material , it is shown that these two criteria are difficult to reconcile when most of the protein is membrane-bound (konnm≫koffh).
Consider a location where h=1μm, characteristic of the average height, and a protein with D=10μm2/s. Fig. 1 shows the regions in the plausible
parameter space where h is in Regime I, II, III, or IV. If we consider a location where h=0.1μm, taken as characteristic of hmin, this location can only lie in Regime II or IV (separated by the dashed line in Fig. 1). From this analysis, it is apparent that significant amplification of the average cytosolic activity will be achieved if either the cytosolic deactivation rate is high or the membrane-binding rate is modest.
Amplification of the average cytosolic activity will often be accompanied by amplification at the cytosol periphery (characteristic of Regime II). If hmax is in Regime I, h will transition to Regime II and then possibly to Regime IV as it shrinks. If hmax is in Regime II, h will either remain there or transition to Regime IV. This transition is also marked by amplification of membrane-bound activity, provided that Q≪1, and might be expected for parameter values lying somewhere to the right of the dashed line in Fig. 1.
The alternative possibility is that the activity at the periphery of the cytoplasm remains maximal throughout, while the average cytosolic activity is amplified (Regime III). This regime is found to occupy only a small slice of the plausible parameter space; the effective membrane-binding rate, Qkonnm, must be at the extreme end of the plausible range. This is significant because Regime III is, in essence, the situation assumed previously 7, using a different boundary condition.
An important model variation, allowing different binding kinetics for active (kon* and koff*) and inactive (kon and koff) protein, was also derived (Supplementary Material ). The outcome is that the density of membrane-bound protein, Sm,T, depends on the activity in the cytosol. Regimes I-IV are the same as before, except with the effective on-rate in Fig. 1 replaced by AQ*kon*nm, where
![]() | (3) |
More interesting is the conclusion that the value of AQ* is inversely related to the maximum amplification of the membrane-bound activity, Sm*, as h shrinks from Regime II to Regime IV; AQ* must be significantly <1 for appreciable amplification. This mechanism is possible even when exchange between cytosolic and membrane-bound pools is slow, and it can operate even when most of the protein is membrane-bound, provided that activation enhances membrane binding. Conversely, when AQ*>1, it is possible to see a significant decrease in
as h vanishes.
Finally, the possibilities for cell shape control of two proteins principally involved in cell migration signaling, phosphoinositide 3-kinase (PI3K) and the Rho-family GTPase Rac, are evaluated. Both execute their functions while associated with the plasma membrane. We have characterized PI3K activation mediated by platelet-derived growth factor (PDGF) receptors 10,11 and have observed that PI3K signaling is enriched in protrusive structures 12. Is this enrichment caused by cell shape amplification of PI3K phosphorylation? Based on findings that nearly all of the intracellular PI3K is membrane-bound in response to PDGF 10,13, and that phosphorylation either does not affect or reduces PI3K binding to receptors 14,15, the analysis argues that such amplification is not significant. By comparison, membrane-bound Rac is a good candidate for cell shape amplification because activation of Rac by guanine nucleotide exchange factors (GEFs) is coupled with its membrane association 16. Indeed, a recent kinetic analysis of Rac translocation dynamics shows that active Rac tends to remain membrane-bound until it is deactivated by GTPase accelerating proteins (GAPs), whereas inactive Rac tends to be sequestered in the cytosol by Rho-GDI 17, consistent with
. Thus, it is plausible that AQ*≪1 (Eq. (3)). Whereas the overall frequency of Rac dissociation is sensitive to modulation of GEF and GAP activities, which determine the value of ϕ, protrusive and nonprotruding regions in the same cell line exhibit the same membrane dissociation frequency (but different densities of membrane-bound Rac) 17. If these regions are not distinguished by a variation in ϕ, perhaps they are differentiated by local morphology, which affects the frequency of productive Rac-membrane association.
This work was supported by National Institutes of Health R01-GM067739 and R21-GM074711 and the Cell Migration Consortium (National Institute of General Medical Sciences grant U54-GM064346). The author thanks David Odde (University of Minnesota) for helpful discussions.
1. (2000). Translocation and reversible localization of signaling proteins: a dynamic future for signal transduction. Cell 103, 181–184. Full Text | PDF (188 kb) | CrossRef | PubMed
2. (2002). PIP2 and proteins: interactions, organization, and information flow. Annu. Rev. Biophys. Biomolec. Struct. 31, 151–175. PubMed
3. (2002). Computational cell biology: spatiotemporal simulation of cellular events. Annu. Rev. Biophys. Biomolec. Struct. 31, 423–441. PubMed
4. (2006). Cell-signalling dynamics in time and space. Nat. Rev. Mol. Cell Biol. 7, 165–176. CrossRef | PubMed
5. (1998). Analysis of receptor internalization as a mechanism for modulating signal transduction. J. Theor. Biol. 195, 187–218. CrossRef | PubMed
6. (1999). Spatial gradients of cellular phospho-proteins. FEBS Lett. 457, 452–454. CrossRef | PubMed
7. (2006). Potential for control of signaling pathways via cell size and shape. Curr. Biol. 16, 1685–1693. Abstract | Full Text | PDF (348 kb) | CrossRef | PubMed
8. (1957). On shape factors for irregular particles — I. The steady state problem. Diffusion and reaction. Chem. Eng. Sci. 6, 262–268. PubMed
9. (2006). Effectiveness factor for spatial gradient sensing in living cells. Chem. Eng. Sci. 61, 5603–5611. PubMed
10. (2003). Kinetic analysis of platelet-derived growth factor receptor/phosphoinositide 3-kinase/Akt signaling in fibroblasts. J. Biol. Chem. 278, 37064–37072. CrossRef | PubMed
11. (2005). Quantitative elucidation of a distinct spatial gradient-sensing mechanism in fibroblasts. J. Cell Biol. 171, 883–892. CrossRef | PubMed
12. (2005). Spatial analysis of 3′ phosphoinositide signaling in living fibroblasts, III: Influence of cell morphology and morphological polarity. Biophys. J. 89, 1420–1430. Abstract | Full Text | PDF (549 kb) | CrossRef | PubMed
13. (1990). Phosphorylation of the PDGF receptor β-subunit creates a tight binding site for phosphatidylinositol-3 kinase. EMBO J. 9, 3279–3286. PubMed
14. (1992). Modification of the 85-kilodalton subunit of phosphatidylinositol-3 kinase in platelet-derived growth factor-stimulated cells. Mol. Cell. Biol. 12, 3415–3424. PubMed
15. (1998). Modification of phosphatidylinositol 3-kinase SH2 domain binding properties by Abl- or Lck-mediated tyrosine phosphorylation at Tyr-688. J. Biol. Chem. 273, 3994–4000. CrossRef | PubMed
16. (1994). Guanine nucleotide exchange regulates membrane translocation of Rac/Rho GTP-binding proteins. J. Biol. Chem. 269, 31674–31679. PubMed
17. (2006). vivo dynamics of Rac-membrane interactions. Mol. Biol. Cell 17, 2770–2779. CrossRef | PubMed