| Dynamics of Fusion Pores Connecting Membranes of Different Tensions Biophysical Journal, Volume 78, Issue 5, 1 May 2000, Pages 2241-2256 Yuri A. Chizmadzhev, Peter I. Kuzmin, Dimetry A. Kumenko, Joshua Zimmerberg and Fredric S. Cohen Abstract The energetics underlying the expansion of fusion pores connecting biological or lipid bilayer membranes is elucidated. The energetics necessary to deform membranes as the pore enlarges, in some combination with the action of the fusion proteins, must determine pore growth. The dynamics of pore growth is considered for the case of two homogeneous fusing membranes under different tensions. It is rigorously shown that pore growth can be quantitatively described by treating the pore as a quasiparticle that moves in a medium with a viscosity determined by that of the membranes. Motion is subject to tension, bending, and viscous forces. Pore dynamics and lipid flow through the pore were calculated using Lagrange's equations, with dissipation caused by intra- and intermonolayer friction. These calculations show that the energy barrier that restrains pore enlargement depends only on the sum of the tensions; a difference in tension between the fusing membranes is irrelevant. In contrast, lipid flux through the fusion pore depends on the tension difference but is independent of the sum. Thus pore growth is not affected by tension-driven lipid flux from one membrane to the other. The calculations of the present study explain how increases in tension through osmotic swelling of vesicles cause enlargement of pores between the vesicles and planar bilayer membranes. In a similar fashion, swelling of secretory granules after fusion in biological systems could promote pore enlargement during exocytosis. The calculations also show that pore expansion can be caused by pore lengthening; lengthening may be facilitated by fusion proteins. Abstract | Full Text | PDF (209 kb) |
| Hydrodynamics of Micropipette Aspiration Biophysical Journal, Volume 76, Issue 1, 1 January 1999, Pages 110-128 Jeanie L. Drury and Micah Dembo Abstract The dynamics of human neutrophils during micropipette aspiration are frequently analyzed by approximating these cells as simple slippery droplets of viscous fluid. Here, we present computations that reveal the detailed predictions of the simplest and most idealized case of such a scheme; namely, the case where the fluid of the droplet is homogeneous and Newtonian, and the surface tension of the droplet is constant. We have investigated the behavior of this model as a function of surface tension, droplet radius, viscosity, aspiration pressure, and pipette radius. In addition, we have tabulated a dimensionless factor, , which can be utilized to calculate the apparent viscosity of the slippery droplet. Computations were carried out using a low Reynolds number hydrodynamics transport code based on the finite-element method. Although idealized and simplistic, we find that the slippery droplet model predicts many observed features of neutrophil aspiration. However, there are certain features that are not observed in neutrophils. In particular, the model predicts dilation of the membrane past the point of being continuous, as well as a reentrant jet at high aspiration pressures. Abstract | Full Text | PDF (659 kb) |
| Aspiration of Human Neutrophils: Effects of Shear Thinning and Cortical Dissipation Biophysical Journal, Volume 81, Issue 6, 1 December 2001, Pages 3166-3177 Jeanie L. Drury and Micah Dembo Abstract It is generally accepted that the human neutrophil can be mechanically represented as a droplet of polymeric fluid enclosed by some sort of thin slippery viscoelastic cortex. Many questions remain however about the detailed rheology and chemistry of the interior fluid and the cortex. To address these quantitative issues, we have used a finite element method to simulate the dynamics of neutrophils during micropipet aspiration using various plausible assumptions. The results were then systematically compared with aspiration experiments conducted at eight different combinations of pipet size and pressure. Models in which the cytoplasm was represented by a simple Newtonian fluid (i.e., models without shear thinning) were grossly incapable of accounting for the effects of pressure on the general time scale of neutrophil aspiration. Likewise, models in which the cortex was purely elastic (i.e., models without surface viscosity) were unable to explain the effects of pipet size on the general aspiration rate. Such models also failed to explain the rapid acceleration of the aspiration rate during the final phase of aspiration nor could they account for the geometry of the neutrophil during various phases of aspiration. Thus, our results indicate that a minimal mechanical model of the neutrophil needs to incorporate both shear thinning and surface viscosity to remain valid over a reasonable range of conditions. At low shear rates, the surface dilatation viscosity of the neutrophil was found to be on the order of 100 poise-cm, whereas the viscosity of the interior cytoplasm was on the order of 1000 poise. Both the surface viscosity and the interior viscosity seem to decrease in a similar fashion when the shear rate exceeds ∼0.05s. Unfortunately, even models with both surface viscosity and shear thinning studied are still not sufficient to fully explain all the features of neutrophil aspiration. In particular, the very high rate of aspiration during the initial moments after ramping of pressure remains mysterious. Abstract | Full Text | PDF (287 kb) |
Copyright © 1999 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 76, Issue 6, 2951-2965, 1 June 1999
doi:10.1016/S0006-3495(99)77450-3
Biophysical Theory and Modeling
Yuri A. Chizmadzhev*, Dimetry A. Kumenko*, Peter I. Kuzmin*, Leonid V. Chernomordik#, Joshua Zimmerberg# and Fredric S. Cohen§,
, 
* Frumkin Institute of Electrochemistry, Moscow, Russia
# Laboratory of Cellular and Molecular Biophysics, National Institutes of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892 USA
§ Department of Molecular Biophysics and Physiology, Rush Medical College, Chicago, Illinois 60612 USA
Address reprint requests to Dr. Fred S. Cohen, Department of Molecular Biophysics and Physiology, Rush Medical College, 1653 W. Congress Parkway, Chicago, IL 60612-3864. Tel.: 312-942-6753; Fax: 312-942-8711.The event that defines the fusion of two biological membranes is the formation of a fusion pore: a structural passageway linking two formerly separated aqueous spaces. Water-soluble materials move through this passageway; the membrane lipids may also move from one membrane to the other, but do so as a part of the pore walls themselves. The composition of the fusion pore at the time of formation is in dispute. Some hypothesize that the initial pore consists exclusively of protein (Tse et al,Lindau and Almers, 1995). Others argue that lipid is an essential component of the pore wall, along with protein (Zimmerberg et al,Nanavati et al,Chernomordik et al,Chernomordik et al,Melikyan et al,Hernandez et al). If the initial pore is composed solely of protein, lipid could not move from one fusing membrane to the other until the pore enlarged. On the other hand, if the initial pore is a combination of lipid and protein, lipid movement between membranes could begin immediately upon pore formation, unless restricted by the proteins that contribute to pore structure. In any case, the larger a pore grows, the more one would expect lipid to move unhindered along the pore walls.
Diffusive movement of lipid along fusion pore walls has been analyzed in detail (Rubin and Chen, 1990,Chen et al). But if the two fusing membranes are under different tensions, lipid flux will be predominately convective rather than diffusive. There are experimental situations in which fusing membranes are known to be under different tensions. In the case of fusion of two planar membranes made from different lipids (Chernomordik et al), the tension difference is constant, it is independent of time, and it is maintained by the Gibbs-Plateau borders that support each planar membrane. When liposomes (Cohen et al) or cells (Melikyan et al) are fused to planar membranes, lipid will flow until the differences in tension that exist at the moment of fusion pore formation are relieved. Generally, liposomes are induced to swell—increasing their membrane tensions—to induce their fusion to planar membranes (Cohen et al,Niles et al) or to promote expansion of pores that form in the membrane shared by hemifused liposomes and planar bilayers (Chernomordik et al,Chanturiya et al). In some purely cellular situations, membranes may also be under different tensions as they fuse. In exocytotic fusion, careful measurements that have tracked lipid movement during pore flickering—the opening and closing of small pores—suggest that the exocytotic granule membranes are under significantly more tension than plasma membranes (Monck et al,Solsona et al). It may be that tension-driven membrane flow after fusion is more common than currently appreciated: membrane tension, for example, appears to strongly promote postfusion convective flow of Golgi membrane into endoplasmic reticulum membrane (Sciaky et al).
In this study, we use the equations of fluid mechanics to describe lipid flow through a fusion pore of constant size joining two membranes under different tensions. The calculated flux agrees with measured values (Monck et al,Melikyan et al). Experimentalists who wish to analyze data of transfer of lipid dye observed during fusion can use the graphs of Fig. 2, and Eqs. (20), which describe lipid velocity and area flux, to calculate differences in membrane tensions. This calculation requires reasonable estimates of membrane viscosity and a knowledge of pore radii, which can be obtained from simultaneous electrophysiological measurements of fusion pore conductance.
Consider two parallel planar membranes, each of thickness 2h, whose neutral surfaces (the interfaces between the two monolayers) are separated by 2H (Figure 1A). A fusion pore of toroidal shape (a half-circle revolved around the z axis) connects the planar bilayers. The system is cylindrically symmetrical about the z axis, which passes through the center of the pore. We define the distance from the z axis to the boundary between the toroidal and unbent planar surfaces as the pore radius, R. The radius of the narrowest portion of the lumen of the pore is rp=R−(H+h). It is obvious that rp≥0 and R≥(H+h). The radius of the fusing objects is given by Rm≫R. The symbols σ1 and σ2 designate tensions of single monolayers in the upper (1) and lower (2) membranes (Figure 1A). We consider the case when the monolayers of a given membrane are under the same tension, and the two bilayer tensions are different, 2σ1>2σ2, maintained as a constant at the circumference Rm. The geometry of the planar portions of the membranes is described by cylindrical coordinates (r, z, θ), where r is measured relative to the z axis (Figure 1B). For the toroidal portion, we use the more specialized coordinates (θ, φ, ρ) (Figure 1AB). The ρ coordinate takes on values within an interval H+h>ρ>H−h. The angle φ is confined in the interval [−π/2, π/2] and is equal to zero on the equatorial plane. The azimuthal angle θ is defined in the interval [0, 2π]. To calculate lipid flow induced by differences in membrane tension, we assume that a fusion pore maintains its shape and dimension (i.e., all geometrical parameters R, H, h as well as the tensions σ1 and σ2 remain constant). For fusion systems in general (e.g., cell-cell fusion or exocytotic fusion), for pore radius R, much smaller than the characteristic size of the fusing objects, the two fusing membranes can be treated as planar and parallel to each other, connected by a pore.
In biological membranes, lipids form a continuous fluid phase. The presence of proteins affects lipid dynamics through changes in membrane viscosity. Artificial lipid bilayers as well as cell membranes are essentially anisotropic systems, with lipid mobility restricted to the plane of the membrane. Lipid does not move normal to the plane of the membrane, but within the plane flows as a liquid. Bilayer membranes can be characterized as a mechanical continuum with material properties such as an elastic modulus and coefficient of viscosity (Evans and Skalak, 1980); volumetrically they are almost incompressible (Evans and Hochmuth, 1978,Nagle and Wilkinson, 1978).
In this paper we rigorously calculate the stationary convective flux of lipids by using standard fluid mechanics: for stationary convective flow, the work performed by the tension difference to cause lipid movement is balanced by the dissipation of mechanical energy due to viscosity. Dissipation of energy that accompanies lipid flow occurs because of two types of deformation: in-plane shear and relative sliding of monolayers. Dissipation due to shear deformations in both the planar membrane and toroidal pore originates from lipid-lipid and lipid-protein interactions within each monolayer. These intermolecular interactions are described with a shear viscosity, ηs. Dissipation due to relative movement of monolayers arises from viscous friction between the monolayer leaflets as they slip past each other and is described with a relative viscosity, ηr. The viscous friction between a monolayer and the bathing aqueous solution is negligibly small (see Discussion).
We calculate lipid flow by first solving the equations of fluid mechanics within both the planar membranes and the curved toroidal pore and then matching their solutions at the boundaries where they join. For planar membranes, flow is purely radial and for an incompressible viscous monolayer is easily calculated (Deryaguin and Gutop, 1962; Deryaguin and Prokhorov, 1981). The situation for a curved toroidal membrane is more complicated. Within the inner monolayer of a toroidal pore (Figure 1A), the area available to a lipid headgroup is greater than that available to the acyl chains. In this monolayer, therefore, the region occupied by the headgroups is expanded relative to the portion filled by the acyl chains, which is compressed. The opposite consideration pertains to the outer monolayer. This means that a curved monolayer of finite thickness does not strictly have constant density. Attempts to account for nonconstant density lead to horrendous mathematical complexities. We avoided this problem by choosing within each monolayer of the toroidal pore a surface of constant lipid density (CLD) that matches the lipid density (molecules/unit area) of the planar membranes (Figure 1A). This surface lies between the polar headgroups and the hydrophobic acyl chains. By considering surfaces of CLDs instead of monolayers of finite thickness, the fluid mechanical problem is reduced to a two-dimensional problem of the flow of an incompressible liquid along these surfaces. We explicitly consider frictional interactions between the two surfaces of the CLD. For calculational concreteness, we assume that each surface of CLD is located in the middle of its monolayer (i.e., at ρ=H±h/2) and has a toroidal geometry within the fusion pore.
The radial flow of lipid in the planar portions of the membrane is obtained from the condition that membranes are incompressible. We write this conservation of area as an equation of continuity:
![]() | (1) |
![]() | (1’) |
We use the same principle of continuity of area flux to obtain lipid velocities on the toroidal surface of the pore. For reasons of symmetry, only the φ-component of the velocity υφ is nonzero (see Figure 1A):
![]() | (2) |
![]() | (2’) |
![]() | (3) |
To obtain the velocity distributions everywhere in the system, we need only to determine the two unknown parameters, υ′ and υ”. This is obtained rigorously by using a local balance of force equation for each monolayer, valid when flow has reached steady state. Balancing tension by the opposing viscous forces yields two equations for the two unknown constants υ′ and υ”. These calculations are presented in Appendix B , where it is shown that for Rm ≫ R, the two monolayers move almost together in the planar portions of the system, without relative sliding. That is, to a reasonable approximation, υ′r=υ″r at any r, and therefore
![]() | (4) |
The approximation of Eq. (4) significantly simplifies the problem. The velocity distribution in the whole system is defined by the single parameter υ, the lipid velocity at r=R (i.e., υ=υr(R)). We find υ by using the energy balance equation for the whole membrane (which is computationally more convenient than employing an equation of local force balance). With the approximation of Eq. (4) we can rewrite the velocity distribution, Eq. (3), in the simple form:
![]() |
![]() |
![]() |
![]() |
The energy balance condition for the entire membrane system sets the work done by the tension forces per unit of time,
, equal to the rate of energy dissipation,
:
![]() | (5) |
and
determine υ. This allows the area of lipid flux to be obtained.The work per unit time produced by tension (force/unit length) acting on the (1) upper bilayer and (2) lower bilayer is equal to the product of the force acting on the membrane boundary, r=Rm, of circumference 2πRm and the velocity of the boundary υm. For the upper bilayer,
![]() | (6) |
![]() | (7) |
We obtain υm through the velocity distribution, Eq. (3):
![]() | (8) |
![]() | (9) |
We assume that only viscous forces dissipate energy. For example, we consider bending of an element of a membrane that enters the toroidal region a reversible elastic process without an accompanying dissipation. The energy dissipation in the membrane per unit time,
, therefore consists of three terms:
![]() | (10) |
As a direct consequence of the Navier-Stokes equations of fluid mechanics, the energy dissipated when an incompressible viscous fluid is deformed by shear can be written as (Landau and Lifshitz, 1987)
![]() | (11) |
![]() | (12) |
st, is also determined by Eq. (11), with dS and σjk given by Eqs. (A8):![]() | (13) |
![]() | (14) |
(b) is a geometrical dimensionless factor determined by the shape of the pore. The expressions for
sp (Eq. (12)) and
st (Eq. (13)) are similar, arising from the same physics, and differ only by the geometrical factor
(b).Energy dissipation due to relative motion of monolayers in the toroidal pore,
st, is physically attributed to the friction between the methyl-terminal portions of the acyl chains of the phospholipids that arise when the two monolayers slide against each other. According to membrane mechanics, such dissipation is described as (Evans and Hochmuth, 1978)
![]() | (15) |
![]() | (16) |
![]() | (16’) |
![]() | (17) |
![]() | (18) |
![]() | (18’) |
sp (Eq. (12)),
st (Eq. (13)), and
rt (Eq. (18)) have the same forms. Each term varies quadratically with υ, differing only in their geometrical “form factors.” The total energy of dissipation is obtained by substituting Eqs. (12) into Eq. (10):
![]() | (19) |
(b)) as they contribute to energy dissipation that occurs through shear viscosity. J(b) is the geometrical factor contributed by the toroidal shape to intermonolayer energy dissipation. The geometrical factors I(b) (Eq. (14)) and J(b) (Eq. (18)) are illustrated in Fig. 2 and enumerated in Table 1 for H=10nm and h=2nm. Their asymptotic forms for b≫1 and b→1 are presented in Table 2. I(b) monotonically decreases toward 2 (2 is the contribution from the planar membranes) as b→∞. That is, as the pore enlarges, it contributes progressively less to shear dissipation (i.e.,
(b)→0). The factor J(b) is biphasic, at first decreasing sharply for increasing rp, descending to a minimum at b≈2 (rp≈5nm) and then slowly increasing with a constant slope of π/4. I(b)>J(b) over the entire range of pore radii, up to rp ≈ 35nm. For large pores, the inequality reverses, J(b)>I(b). The energy dissipation rate (Eq. (19)) depends not only on I(b) and J(b), but on the viscosities ηs and ηr as well. We consider the values of shear and intermonolayer viscosities in the Discussion. This allows us to evaluate the relative contributions of the two processes to energy dissipation that determine lipid flux.Substituting the expressions for the work performed by tension (Eq. (9)) and the energy dissipated by lipid flow (Eq. (19)) into the energy balance equation (Eq. (5)), we obtain
![]() | (5’) |
![]() | (20) |
![]() | (20’) |
![]() |
![]() |
![]() | (21) |
Figure 3AB, illustrates the dependence of velocity at the junction between the planar membranes and the toroidal pore, υ(b), on pore size. Pore size is shown as both b=R/H and as the radius of the narrowest portion of lumen, rp. Figure 3A displays υ(b) over an extensive range of pore radii; Figure 3B exhibits this velocity at greater resolution for pores with small radii. The corresponding figures for the flux, Φ(b), are presented in Figure 4AB. Both υ(b) and Φ(b) are plotted on the left-hand ordinates for the parameters H=10nm, h=2nm, Δσ=0.1dyn/cm, and ηs=ηr=10−5g/s. The right-hand ordinates of both Figure 3 and Figure 4 show the dimensionless combinations υη/ΔσH and Φη/ΔσH2. This allows us to readily obtain υ and Φ from Figure 3 and Figure 4 for any values of η, Δσ, and H.
When fusing membranes are at different tensions, convective flow of lipid occurs through the wall of the fusion pore. This flow is governed by the principle that in steady state, the energy per unit time supplied by the tension is balanced by the viscous dissipation caused by the flow. We calculated flow by treating a membrane as a two-dimensional homogeneous continuum (Evans and Skalak, 1980). The approach of treating a membrane as a continuum is certainly valid when distance scales are on the order of 0.1μm or greater. However, equations that are strictly correct only in macroscopic limits have long been successfully applied to phenomena that occur over microscopic scales (Einstein, 1956). In the field of membrane fusion, macroscopic membrane mechanics (Helfrich, 1973) has been of value when applied to curved surfaces of 10-nm scale, such as pores or stalks (Markin et al,Nanavati et al,Siegel, 1993).
In exocytotic secretion, as observed by electron microscopy, fusion is initiated by dimpling of membranes toward each other (Chandler and Heuser, 1979,Ornberg and Reese, 1981,Knoll et al,Curran et al). Once formed, fusion pores are long structures with nonuniform luminal radii (Curran et al). Based on functional studies of virus-induced fusion, even small flickering pores already have a length greater than the thickness of a bilayer membrane (Razinkov et al). A toroidal shape captures the essential geometrical features of biological fusion pores—a significant length with a narrow luminal region over part of it. Choosing an explicit geometry to model pore shape allows for rigorous calculations, which in turn leads to a more intuitive understanding of the general qualitative features of the process of lipid flow. The lipid velocity υ (Eq. (20)) and lipid area flux Φ (Eq. (21)) depend, in physically understandable terms, on the tension difference, Δσ, between the two fusing membranes and on their shear and relative viscosities, ηs and ηr, as well as geometrical factors. We consider appropriate values for ηs and ηr and then discuss the contributions that shear deformation and intermonolayer friction make to energy dissipation in view of the geometrical aspects of fusion pores. The underlying basis for the functional dependence of lipid velocity and flux on pore radius is also considered. Finally, we show that the theoretical equations can account for the experimental data currently available.
We have rigorously calculated the steady-state lipid flux for fused lipid membranes under the conditions that Δσ and pore radius R remain constant. We apply the equations to biological membranes by using values of ηs and ηr that are appropriate for these membranes. In experimental practice, sizes of fusion pores are never perfectly constant, although they often tend to remain reasonably stable for extended times before enlarging significantly. In any case, lipid fluxes quickly reach steady state (instantaneously compared to the video rates for which they are measured). The time, τ, needed for a tension difference to establish steady-state flux can be estimated from the Navier-Stokes equation for an incompressible liquid (Landau and Lifshitz, 1987) as ρR2/η, where ρ is lipid density. For η=10−5g/s, ρ=10−5g/cm2, and R=100nm, τ=10−10s. For a compressible liquid, τ can be approximated as the time needed for sound (velocity≈105cm/s) to propagate over the entire object. For a cell of radius 10μm, τ≈10−8s. The equations of this study, assuming constant pore radius, therefore allow lipid fluxes to be calculated at every instant, even if pore size varies significantly (size determined from electrophysiological measurements).
The basis for tension in planar membranes is well understood: lipids within the planar bilayer and the supporting Gibbs-Plateau border have different chemical potentials, creating a tension difference. Planar bilayer tensions lie in the range of 0.2–4dyn/cm, the precise number depending on lipid and aqueous compositions (Tien, 1974,Chernomordik et al). Biological membranes are also under tension. Plasma membranes of eukaryotes have tensions that arise from both interactions between constituents within the plane of the membrane itself and from interactions between the plasma membrane and cytoskeleton. But these tensions are significantly less than for planar membrane: the in-plane tension of a plasma membrane is only ∼10−2dyn/cm if the cell is not osmotically stressed (Dai and Sheetz, 1995a), and hence the lateral lipid flow between fused plasma membranes should be small. It also appears that membranes of internal organelles are under tension, to a greater degree than plasma membranes. From measured redistribution of chimeras consisting of a membrane protein and green fluorescent protein, it has been concluded that movement of membrane protein between ER and Golgi is due to convective flow, rather than diffusive movement, with velocities on the order of 10μm/s (Sciaky et al). Differences between chemical potentials of ER and Golgi membranes are presumably responsible for tension differences. It would thus be expected that in many cellular processes involving organelles, lipid movement could be due to convective flow, rather than diffusive spread, as is often assumed. For example, there is significant lipid flux through fusion pores from plasma to granule membrane in mast cell secretion (Oberhauser and Fernandez, 1993), implying that the granules are under significant tension (Monck et al).
As lipid flow depends on ηs and ηr, their values are required to compare the theoretical equations with available experimental data. The values of shear viscosities reflect molecular interactions and differ for different types of membranes (lipid bilayers, lipid monolayers, and cell membranes); these values lie in a very broad interval, 10−7g/s<ηs<10−3g/s (Evans and Hochmuth, 1978). The surface viscosity of a membrane can be converted to a three-dimensional viscosity, η3=ηs/h, and compared to viscosities of common substances. The largest surface viscosity value (10−3g/s) compares with the three-dimensional viscosity of extremely viscous materials such as waxes and butter (η3=104 poise, i.e., 104g/s · cm). These large values are found in experiments that deform extended portions of a cell membrane. Such high values probably reflect additional forces from macromolecular structures, such as interactions of adhesion between cytoskeleton and membrane. The lower end, ηs≈10−7g/s, is the measured microviscosity of the hydrocarbon interior of a bilayer membrane (Azzi, 1975) and corresponds to η3 ≈ 1 poise, the viscosity of olive oil. The same ηs’s were obtained by measuring electrically induced expansion of pores in lipid bilayers formed in n-decane (Sukharev et al); these values reflect all of the molecular interactions within a monolayer, that is, due to both lipids and organic solvent. Estimates of ηs for biological membranes that are based on measurements of lateral diffusion give ηs≈10−6 to 10−5g/s (for reviews, see Evans and Hochmuth, 1978,Saffman, 1976,Thomas and Webb, 1990). As these viscosities characterize movement of lipid within a cell membrane without deformation of the membrane itself and account for both lipid-lipid and lipid-protein friction, we consider these latter values of ηs to be most descriptive of the in-plane lipid flow within cell membranes.
In contrast to ηs, experimental data that determine the relative viscosity ηr are rather limited. A value of ηr for pure lipid bilayers can be estimated from measurements of the dynamics of enlargement of hemifusion diaphragms (Melikyan et al). Outer monolayers, after initial merger, are pulled away from the site of hemifusion. This clearing of outer monolayers from the site allows the inner monolayers to come into direct apposition with each other, forming and enlarging into a hemifusion diaphragm. The time dependence of this expansion in area of the diaphragm, S(t), is governed by tension and friction between monolayers. S(t) is described by the equation (Kumenko et al)
![]() | (22) |
The frictional interactions between monolayer leaflets as they slip past each other have also been studied by pulling tethers out of lipid vesicles (Merkel et al,Evans et al,Evans and Young, 1994,Raphael and Waugh, 1996). When normalized to a monolayer thickness of h=2nm, ηr was found to be between ∼4×10−7g/s (Evans and Young, 1994) and ∼1.8×10−6g/s (Raphael and Waugh, 1996). The higher values of ηr deduced for the vesicular membrane than for bilayers in n-decane arise because of a lack of the “lubricating” n-decane between the monolayer leaflets of vesicles. Although the data indicate that ηs may be somewhat larger than ηr for purely lipidic bilayers, on balance we can take ηr ≈ ηs, each in the range of 10−5 to 10−6g/s. However, in some cases viscosity has been measured to be significantly larger: pulling microtethers out of neuronal growth cone membranes yielded η≈2×10−4g/s (Dai and Sheetz, 1995b). It is not clear why slippage of monolayers past each other leads to such a high value of viscosity. In our subsequent comparison of theory with experiments, we assume that ηr≈ηs also holds for cell membranes, within the interval 10−5 to 10−6g/s.
We have ignored in our analysis the friction between water and lipid at the water-membrane interface. We justify this simplification, showing that this friction is negligible for pores with either a wide or narrow lumen. For ease of calculation, we treat a large pore’s wall as if its circumference were straight rather than curved (in other words, as if the circle that forms the lumen were cut open and the ends separated so that they form the ends of a semicylinder). That is, we approximate a large pore as a semicylinder of radius H that joins two parallel semiinfinite planar membranes separated by a distance 2H. The axis of this semicylinder runs parallel to the planar membranes. At the surfaces of the planar membranes the difference between the velocity of water and lipid flow is zero, the “no-slip condition”; sufficiently far from the surface the water velocity is zero, and the difference in velocity is therefore the lipid velocity υ, given by Eq. (20). The solutions for the frictional force per unit length, F (dyn/cm), are well known for a liquid moving past both a flat plate and a cylinder (Landau and Lifshitz, 1987). Combining these two solutions, we obtain
![]() | (23) |
For a small pore, both the velocity gradient of the water and the momentum transfer to the pore wall are high. But as the area of the pore wall is small, lipid-water friction is negligible in this case as well. The frictional force for a unit length of pore circumference, Fp (units dyn/cm), can be estimated as
![]() | (24) |
As steady-state lipid velocity and flux are set by energy dissipation, it is useful to explicitly consider the two dissipative viscous processes. Under the assumption ηs=ηr=η, the comparative contributions of the two processes to overall energy dissipation are determined by the form factors I(b) and J(b).Fig. 2 shows that over the entire range of biologically interesting pore radii, rp<35nm, shear deformation dominates relative friction in causing dissipation. If ηs>ηr, the dominance becomes greater. The integrands of I(b) and J(b) of Eqs. (14) (Fig. 5) characterize the distribution of energy dissipation along the pore wall as a function of the angle φ.
(Eq. (14)) and represents shear friction; the solid curve is the integrand of J (Eq. (18)) and provides the relative friction. The values of these integrands as functions of φ allow the contribution of the two forms of dissipation to be compared for any portion of membrane within the pore. The curves are plotted for H=10nm, h=2nm, and b=1.2 (i.e., rp=0).For small pores (rp<10nm), shear dissipation essentially arises in the toroidal region: the contribution to I(b) from the planar membrane is 2 and I(b) ≫ 2. The origins of shear deformation within the pore and planar membrane are straightforward. Within the planar membrane, flow is only radial, and shear occurs because any element of membrane area becomes progressively shorter in the radial direction as it moves further from the pore. Within the pore, membrane undergoes shear deformation in regions where the pore wall is curved. If a region of a pore wall is perfectly cylindrical, membrane does not deform as it moves along this portion of the wall, regardless of the size of the cylindrical lumen. In general, flow of an element of membrane area parallel to the axis of symmetry occurs without shear deformation; flow perpendicular to the axis results in maximum deformation. We can thus appreciate why shear dissipation is distributed nonhomogeneously through the pore wall (Fig. 5). In the center of the pore, φ=0, the wall is locally cylindrical, and hence I(b)=0. As material moves away from the center of the pore, flow occurs progressively more perpendicular to the symmetry axis and shear deformation increases, accounting for the increases in I(b). But as the element of membrane area moves further from the symmetry axis, the deformation due to radial shortening lessens. This competition in shear deformation between radial and angular positioning of a membrane element leads to maxima in I(b), symmetrically placed around φ=0. For a toroid, the maxima are at |φ| ≈ 0.5; beyond this value shear deformation gradually decreases to the level of the planar membrane.
For relative viscosity, the integrand of J(b) reaches a maximum at φ=0, with relatively narrow dispersion, demonstrating that dissipation due to monolayers slipping past each other is concentrated in a narrow region near the pore neck. Physically this occurs because, by the principle of continuity, the same flux of lipid must pass through the inner and outer monolayers for every angle φ. The circumferences of outer and inner monolayers (around the central symmetry axis of the pore) are smallest at the narrow pore neck. As a result, the difference in velocity and thus in energy dissipation is greatest at the pore neck. The geometric factor J(b) is large for the smallest pores and decreases as rp increases (Fig. 2, Table 1): the larger the pore, the more the circumferences of the inner and outer monolayers become comparable, and differences in monolayer velocities become smaller. This decrease in J(b) with pore growth is opposed by the fact that the sliding occurs along a larger pore circumference, a circumference that increases linearly with rp. When the pore enlarges sufficiently, beyond rp ≈ H, this latter effect begins to dominate (hence there is a minimum in J(b)) and J(b) increases roughly linearly with pore radius. J(b) is greater than I(b) after rp ≈ 30nm, at which stage pores have enlarged immensely.
If we view a fusion pore as a long cylinder connected to each of the fused membranes at a region that curves back into the plane of the membrane, we can qualitatively evaluate energy dissipation due to flow. Shear would not occur within the cylindrical region, but would within the curved portions (which we refer to as “dimples”). In contrast to the pattern of shear deformation, intermonolayer friction would occur predominantly within the cylindrical pore. That is, if the neck of the pore were elongated, shear dissipation would not be affected, but relative dissipation would be augmented. In other words, pore geometries other than toroidal should lead to similar energy dissipations for the same lumen dimensions. Thus, Eqs. (20) for lipid velocity and flux can be used to describe experimental data, even though the true pore shape is not known.
Lipid velocity, υ(b), levels (Figure 3A) and the area flux, Φ(b), increase linearly (Figure 4A) with radius as b→∞. The physical basis of these functions can be appreciated by realizing that when R ≫ H, dissipation is dominated by intermonolayer friction (i.e., J(b)>I(b) for extremely large pores; Fig. 2). The rate of intermonolayer dissipation increases linearly with radius R but quadratically with υ; the rate of work done by tension increases linearly with both radius and υ. It follows immediately from the equality of dissipation and rate of work done by tension that velocity is independent of radius (equivalently, see Eq. (20) and the asymptotic expression for J(b) in Table 2). As Φ=2πR · υ, a constant υ means Φ increases linearly with R for large pores.
For small pores, lipid velocity increases in a greater than linear manner with increases in rp (Figure 3B). However, balancing the energy dissipated in the planar membranes by the work performed by tension yields only a linear increase in lipid velocity. The overall nonlinearity is due to geometric effects of the fusion pore (Table 2), which arise because the curved pore wall induces shear dissipation, and a narrow neck leads to significant relative, intermonolayer dissipation (Figure 2 and Figure 5). Both dissipations should occur for small pores, independent of the specific geometry. Hence, the slope of the curve of υ versus rp (dυ/drp) increases with rp for small pores (Figure 3B).
Lipid flux depends on the difference in tension between the two membranes, 2Δσ, regardless of the precise geometry of the pore. This is of practical importance: it is not necessary to know how the tension difference drops along the walls of the pore to calculate flux. As a consequence, a simple equation, Eq. (21), can be used to describe experimental flux data.
To determine whether the present model accurately describes lipid flow for homogeneous membranes that have merged requires flux data for a system in which the parameters (η, R, and Δσ) have been measured. This has not yet been done experimentally. But the validity of our picture of the physics underlying lipid flow is testable. Two bulged solvent-free planar bilayers with different percentages of charged lipids could be hemifused, and the lipid flux between the merged monolayers could be determined accurately by measuring the change in surface potential of the nonhemifused portions of the planar membranes (Chernomordik et al). The viscosity and tension of the bilayer of each lipid composition would be obtained independently by standard techniques (Chernomordik et al). A straightforward modification of the present theory to the case of lipid flow during hemifusion in a system whose geometry was unambiguously known will provide a severe test of our approach. However, we can immediately apply the present theory to experiments for which lipid flux has been measured through enlarged pores.
Fluorescent lipid dye has not been observed to pass through small fusion pores (less than ∼400 pS) connecting influenza hemagglutinin (HA)-expressing cells to RBCs (Tse et al,Zimmerberg et al). This apparent exclusion of lipid has been taken as evidence that these pores are composed solely of protein (Tse et al), implying that hemifusion is not an intermediate step in membrane fusion. However, the finding that fusion pore formation depends on the constituent membrane lipids contradicts this conclusion (Chernomordik et al,Chernomordik et al). These latter findings strongly support the view that lipids are intimately involved in pore formation, rather than incorporating into the pore after formation. All of the experimental findings could be accounted for if both protein and lipid were intimately involved not only in the formation, but also the structure, of the initial pores. Multiple fusion proteins act cooperatively to form a pore, and even if these proteins induce fusion through a hemifusion mechanism, they may form a tight ring of protein that significantly inhibits lipid flux (Hernandez et al,Chernomordik et al). The theory of convection does not apply to the case of small pores connecting HA-expressing cells to RBCs, for at least two reasons. First, if a ring of protein inhibits lipid flux, the membrane of the pore wall is heterogeneous, rather than homogeneous. Second, as the in-plane tension of cell membranes is small, their difference is negligible; the hindered transport across the pore would be governed by passive diffusion, not by convection. The theory of the present paper can, however, be directly applied when differences in membrane tension cause lipids to flow between fused membranes.
When cells expressing the hemagglutinin of influenza virus are fused to planar lipid bilayers, a substantial amount of lipid flows from the cell to the planar membrane after full pore enlargement (Melikyan et al). This flux was measured by including the fluorescent dye octadecylrhodamine in the planar membrane. After a fusion pore expanded to large conductances, with a mean value of ∼500 nS (Melikyan et al) (i.e., rp ≈ 500nm), a dark spot in fluorescence was observed at the site of the fusing cell. Darkening occurred only after full pore enlargement. The dark spot then expanded (up to a radius of ∼20μm), maintaining a rather sharp boundary. The darkening is accounted for by the tension of the planar membrane as it pulls on the membrane of the fused cell; unlabeled lipid in the cell membrane flows into the planar membrane, thereby displacing fluorescent lipid molecules with nonfluorescent ones. Experimentally, the initial area flux is between 5×10−6 and 7×10−6cm2/s (Razinkov, Melikyan, and Cohen, unpublished data). This flux approaches zero after ∼2s, in accord with the tension of the cell membrane, after fusion, drawn to that of the planar membrane. We compare Eq. (21) with the initial flux because we can estimate the initial value of 2Δσ. The initial in-plane tension of the cell membrane is small, ∼10−2dyn/cm; we take the tension of the planar membrane (PE/PC, 2:1) as 2σ≈1dyn/cm (Chernomordik et al). If we let ηs≈ηr=η and introduce Φm=Φ/2 as the area flux for one monolayer, we rewrite Eq. (21) as
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In addition to the convective flux of the unlabeled lipid from the cell into the planar membrane, the fluorescent dye diffuses from the planar bilayer to cell membrane. Diffusion will cause the front of darkening—which would be sharp if only convection were present—to spread out with time. This broadening of the front is given by (2Dτ)1/2, where D is the diffusion constant of the lipid dye, ∼10−8cm2/s. The observed spread of darkening occurs over a time course of τ ≈ 2s (Razinkov, Melikyan, and Cohen, unpublished data), and thus the diffusive spread is ∼2μm, much smaller than the radius of the enlarged dark area (∼20μm). That is, diffusive flux is relatively small compared to convective flux; the boundary of the dark spot remains relatively sharp.
The situation is quite different for small pores. For rp≈1nm (R=13nm), theoretically the convective flux of the dye (∼5 mol% of lipid in the planar bilayer) is ∼4×105molecules/s (Figure 4B; using an area per lipid of 5×10−15cm2 to convert area flux in units of cm2/s to units of molecules/s). To estimate the diffusive flux, we treat the small fusion pore as a cylinder with radius 7nm and length l=2H=20nm and obtain a diffusive flux of ∼4×105molecules/s (i.e., the convective and diffusive fluxes are comparable). This is in agreement with experiment (Melikyan et al): for small flickering pores, a darkening of the planar membrane is not observed, but a brightening of the cell occurs.
We can also apply our equations to the case of tension-driven lipid flux between secretory granules and plasma membrane in mast cell secretion (Monck et al,Oberhauser and Fernandez, 1993). From capacitance measurements, ∼1.5×10−9cm2/s of plasma membrane (or 6×105lipids/s) moves into granule membrane while a transient fusion pore is open, suggesting that the tension of granules is higher than that of plasma membrane. The total flux was proportional to the time the transient pore remained open, implying that the tension difference remained constant. (The lipid flux in these experiments was about three orders of magnitude less than for the case of cells fused with planar membranes. This probably accounts, in large part, for the fact that the difference in tension between plasma and granule membranes does not relax to zero.) Based on conductances expected of transient (flickering) fusion pores, the pore radius can be estimated as rp ≈ 1nm. Using Eq. (21), the geometrical factors I(b), J(b) (Table 1), and viscosity, η≈10−5g/s (as determined from the measured lipid flux between fused cells and planar membranes), we obtain that the tension difference between granule and plasma membrane, Δσ, is ∼0.1dyn/cm. This indicates that the granule membrane probably has significantly higher in-plane tension than a plasma membrane. The membranes of Golgi and ER also exhibit high tensions (Sciaky et al); it may be that intracellular membranes generally exhibit higher tensions than plasma membranes because of differences in chemical potential.
In summary, the present theory provides a means for understanding the physics of lipid flow through fusion pores. While the specific compositions and geometric structures of fusion pores are not yet known, in this paper we have derived equations that can be employed to interpret, in a practical manner, experimentally obtained lipid fluxes between membranes under different tensions.
We thank Drs. E. Evans, V. Frolov, S. Leikin, G. Melikyan, and A. Parsegian for useful discussions and suggestions. This work was supported in part by Fogarty International Research Collaboration Award R03 TW00715, National Institutes of Health grant GM27367, the Russian Foundation for Basic Research grant 94-04-50779, and the Soros Educational Program.
To calculate the velocity distribution and rate of energy dissipation in the planar portions of the membranes, we use cylindrical coordinates (r, θ, z). These coordinates are related to Cartesian coordinates (Figure 1B) by
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To justify the approximation υ′=υ” used in the main body of the paper, we present the exact expressions for each of the terms of the energy dissipation in Eq. (10). We obtain these expressions from Eqs. (3):
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![]() | (B4) |