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* Department of Materials Science and Engineering and
Department of Physics, University of Illinois at Urbana-Champaign, Urbana, Illinois
Correspondence: Address reprint requests to Erik Luijten, Dept. of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801. E-mail: luijten{at}uiuc.edu.
| ABSTRACT |
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| INTRODUCTION |
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Specifically, we investigate the electrostatic complexation of F-actin with lysozyme, which can be viewed as a prototypical system of oppositely charged "rod-like" and "sphere-like" objects, with charge distributions and dimensions that are well-known from molecular biology (11
). By means of small-angle x-ray scattering (SAXS), we demonstrate that the actin filaments are arranged on a close-packed lattice and that the lysozyme occupies the voids between the filaments. From the peaks in the scattering intensity we infer a specific arrangement. By means of complementary molecular dynamics (MD) simulations of a coarse-grained but accurate model system we demonstrate that this arrangement indeed yields the most stable structure. In addition, the x-ray measurements indicate that the lysozyme molecules are aligned in a regular manner along the actin filaments, in a way that is incommensurate with the actin charge distribution. We show that a similar arrangement arises in the simulation of our model system. To investigate the structure and stability of this complex under physiological conditions, we systematically vary the bulk concentration of monovalent salt. Surprisingly, the actin-lysozyme complexes retain their stability up to considerably higher salt concentrations than would be expected from conventional arguments based on counterion release or differential screening. Using simulations to determine salt partitioning between the aqueous and the condensed phases, we explain the observed trends from the osmotic pressure exerted by the aqueous phase.
In cystic fibrosis, the accumulation of viscous mucus in pulmonary airways is the primary cause of long-term bacterial infections, respiratory failure, and eventually death. One of the contributing causes to these long-term infections is the pathological self-assembly of endogenous antibiotic polypeptides from the immune system by adventitious anionic polyelectrolytes, such as F-actin and DNA, which are released by lysed neutrophils during the inflammatory response to airway infections (12
). The interactions responsible for this self-assembly are largely electrostatic, since such antibacterial globular proteins are usually cationic (e.g., lysozyme, ß-defensin, and lactoferrin). More important, this self-assembly process results in the loss of antimicrobial function in the airways. We examine the actin-lysozyme complexes as a prototypical system, and aim at a fundamental understanding of antibacterial binding in the airways.
A brief account of this work has been presented in Sanders et al. (13
). Here we provide a detailed discussion of our computational and experimental approach, as well as a considerably more detailed analysis of the simulation results.
| METHODOLOGY |
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A
1e/2.5 Å at pH 7.0) by the addition of monovalent salt (100 mM KCl final concentration). Human plasma gelsolin, an actin severing and capping protein (14
1 µm. The filaments are treated with phalloidin (MW 789.2, Sigma Aldrich, St. Louis, MO) to prevent actin depolymerization. F-actin gels are ultracentrifuged at 100,000 g for 1 h to pellet the filaments. After the removal of the supernatant buffer solution, the F-actin is resuspended in ultrapure H2O (18.2 M
; Millipore, Billerica, MA). Lyophilized hen egg white lysozyme (MW 14,300; Sigma Aldrich) is dissolved in ultrapure H2O and allowed to equilibrate overnight. Stock solutions of NaCl and KCl are prepared by mixing in ultrapure H2O. To ensure uniform mixing and to decrease error associated with pipetting small volumes, lysozyme is premixed with monovalent salt solutions in 500-µl aliquots. The isoelectric complexes are prepared by flame sealing F-actin with lysozyme-monovalent salt solutions in 1.5-mm quartz capillaries (Hilgenberg, Malsfeld, Germany) and mixing thoroughly by centrifugation. The approximate sample volume in the capillary is 30 µl. The final F-actin concentration is 5.5 mg/ml and the final lysozyme concentration is 2.3 mg/ml. A series of samples are prepared, with the final monovalent salt concentration ranging from 0 to 500 mM.
SAXS measurements are performed using the in-house x-ray source located in the Frederick Seitz Materials Research Laboratory (Urbana, IL), beamline 4-2 at the Stanford Synchrotron Radiation Laboratory (SSRL, Palo Alto, CA), and BESSRC CAT beamline 12-ID-C at the Advanced Photon Source (APS, Argonne National Laboratory, Argonne, IL). For the in-house experiments, incident Cu K
radiation (
= 1.54 Å) from a Rigaku (The Woodlands, TX) rotating-anode generator is monochromatized and focused using Osmic (Auborn Hills, MN) confocal multilayer optics, and scattered radiation is collected on a Bruker AXS (Madison, WI) 2D wire detector (pixel size 105 x 105 µm2). For the SSRL experiments, incident synchrotron x-rays from the eight-pole wiggler are monochromatized to 8.98 keV using a double-bounce Si(111) crystal (
= 1.3806 Å) and focused using a cylindrical mirror. The scattered radiation is collected using a MAR Research (Evanston, IL) charge-coupled device camera (pixel size 79 x 79 µm2). For the APS experiments, incident x-ray wavelength is set at
= 1.033 Å by a double-crystal Si(111) monochromator and focused using a flat-focusing monochromatic mirror. The scattered x-rays are collected using a two-dimensional mosaic CCD detector (pixel size 79 x 79 µm2, MAR Research). The sample-to-detector distances are set such that the detecting range is 0.03 < q < 0.25 Å1, where q = (4
sin
)/
,
is the wavelength of the incident beam, and 2
is the scattering angle. The 2D SAXS data from all set-ups have been checked for mutual consistency.
Typically, the precipitated F-actin-lysozyme complex is compacted into a dense pellet during mixing. These pellets consist of many coexisting domains of actin bundles locally oriented along different random directions, as indicated by the "powder averaging" of the diffraction pattern and the associated loss of orientational information. To minimize these effects, a small (300 x 300 µm2) x-ray beam is used to obtain diffraction information on locally aligned domains within the pellet.
Simulation model
To study the structure and stability of the actin-lysozyme complex we perform MD simulations of the complex in the microcanonical ensemble, using a modified version of the Moldy package (15
). We also carry out grand-canonical Monte Carlo simulations of monovalent salt to complement the MD results, as described in the following section. In both cases, electrostatic interactions are treated by means of the Ewald summation (16
), and excluded-volume interactions are represented by a steep repulsive pair potential of the form kBT(
/r)12, where kB is Boltzmann's constant, T the absolute temperature, and r the center-to-center distance between two particles. We define the effective radii of particles such that at contact the excluded-volume interaction pair energy is kBT. Thus,
is the sum of the effective radii of the two interacting particles. Both the excluded-volume potential and the real-space term of the Ewald sum have a cutoff distance chosen to optimize the Ewald technique as described in (16
). Water is treated implicitly as a continuum with dielectric constant
r = 80. Polarization effects resulting from a different dielectric constant of the solute are not taken into account.
To carry out efficient simulations of actin-lysozyme complexes, we avoid a computationally expensive all-atom representation and adopt instead a simplified model which nevertheless faithfully reproduces the excluded-volume interactions and charge distributions of the molecules involved. In this model, salt ions are treated as spherical particles with a hydrated radius of 3.3 Å (17
). We only consider the effect of monovalent salt in this study. The lysozyme protein is represented in a coarse-grained fashion as a rigid dumbbell consisting of two overlapping spheres with diameter 25 Å and charge +4.5e. The lysozyme mass was chosen to be 143 times the salt ion mass. The spheres have a center-to-center distance of 20 Å, so that the dumbbell structure approximates the known dimensions of lysozyme, which has an ellipsoidal shape of 26 x 26 x 45 Å. This shape becomes important at high densities where it can strongly influence the packing properties, and such high densities may indeed arise due to localization of the lysozyme within the bundle. Although the net charge of lysozyme (+9e at neutral pH) arises from a combination of positive and negative charges, the choice of equal charge on both spheres is reasonable, given the relatively homogeneous charge distribution obtained when the electrostatic potential around this molecule is computed (18
).
A similar coarse-grained approach is used in the treatment of actin. The structure of the G-actin monomer has been determined to atomic resolution (19
). Holmes et al. (20
) exploited the known monomer structure to develop an atomic model for F-actin, where the arrangement of monomers along the filament was iteratively improved by fitting computed intensities to experimental x-ray diffraction data from highly aligned F-actin gels. Crystallographic measurements of G-actin indicate that it can be naturally decomposed into four subdomains (19
), which can be accurately represented by spheres (21
). Thus, a sequence of such four-sphere units can be fitted to the atomic model for F-actin, in a way that reliably captures the F-actin structure (22
). The charge on each sphere is obtained by summing the charges of all the atoms within the Voronoi cell containing the sphere center, which gives charges of 6.75e, 6.05e, +0.59e, and + 2.06e, respectively. This leads to a filament with net negative charge, although positively charged domains do occur. In the F-actin model that we use in our simulations, successive monomers are separated along the filament axis by a distance of 27.5 Å, and are rotated with respect to each other by 166.7° about this axis. Thus, over a repeat unit of 13 monomers the filament undergoes six full turns.
The actin filaments are assembled into a parallel, hexagonally coordinated bundle. This is accomplished by using an elementary simulation cell in the shape of a prism in which two opposite faces are 60120 rhombuses. A 2 x 2 regularly spaced array of parallel filaments with a length of six repeat units (78 monomers per filament) is placed in the simulation cell, which is replicated under periodic boundary conditions (see Fig. 1). The periodicity of the array may introduce finite-size effects. To minimize these effects, we have chosen the largest simulation cell that is feasible for our computational resources. During each simulation, the actin molecules are held rigid at a fixed separation, effectively ignoring their rotational degrees of freedom. This is justified by the observation that the largest actin separation we consider is 25 nm, which is <0.25% of the persistence length (
10 µm). Mutual sliding, axial rotations, and changes in the helical symmetry of the actin filaments are also not considered. Because lysozyme is highly charged, and because it has a much lower mobility than the salt ions, we expect it to be closely associated with the actin, and thus it is reasonable to assume that all of the lysozyme resides in the bundled phase. Since in the experiments the actin-lysozyme complexes are isoelectric, we set the concentration of lysozyme in the complex to satisfy the electroneutrality condition. This leads to 352 lysozyme molecules in the simulation cell. For systems with added salt, the number of salt ions is computed from the desired concentration, and ranges up to 8770 for the largest system reported here. Simulations are carried out for systems with salt concentrations (within the bundle) of 0, 5, 10, 15, 25, 40, and 50 mM, at actin-actin separations ranging from 99 Å to 250 Å. Every MD simulation run has an initial equilibration stage in which the temperature is rescaled at every step to T = 298 K. The duration of this initial stage varies, depending on the number of ions in the simulation, from 100,000 to 600,000 time steps. The time step is 0.01113 t0, with the time scale t0 = (kBTm1
2)1/2, where m is the mass of a salt ion and
= 1 Å is the length scale. The duration of the production run also variesranging from 300,000 to 3 million time stepsso as to produce good statistics for every system size. Furthermore, to obtain better statistics and further reduce finite-size effects when performing structural measurements, some runs are carried out with a simulation cell that is twice as long, containing 12 repeat units (156 monomers per filament).
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![]() | (1) |
is the thermal de Broglie wavelength. The factor 2 in Eq. 1 arises because the chemical potential pertains to a salt molecule. In our simulations,
ranges from 26.15 kBT to 19.13 kBT. All trial moves consist of insertions or deletions of a neutral pair of ions. The volume of the system is fixed, and average concentrations in the range 4120 mM are obtained, corresponding to a range of 2005000 ions in the system. The simulations have an initial equilibration period of 2 million trial moves and a subsequent production run length of 20 million moves.
Determination of osmotic pressure
The stability of an actin bundle is determined by mechanical equilibrium, which implies that the pressure is equal in the aqueous and bundled phases. To obtain the pressure P from simulations we apply the virial theorem, which gives the virial tensor as (24
)
![]() | (2) |
and ß are tensor indices, w is the virial tensor, V is the volume of the system, Rk.n is the position of the periodic copy of molecule k reached by n, and Fij is the force exerted by site i on site j. The prime indicates omission of terms with c(i) = c(j) if n = 0. Thus, intramolecular forces (including forces that arise from the rigid molecule constraints) are never computed when evaluating the virial.
The pressure is usually obtained as one-third of the trace of the virial tensor, plus a kinetic contribution
kBT, where
is the overall density. However, since our model only allows expansion and contraction in the lateral plane, i.e., perpendicular to the bundle axis, we employ only the corresponding lateral components of the stress tensor when computing the pressure. The actin filaments are held fixed during the simulation, so they do not contribute to the kinetic term in the pressure. Moreover, the forces exerted by the actin filaments on each other do not affect the evolution of the system and need not be computed during the simulation, but they do contribute to the virial. This contribution, involving the lateral components of the forces between particles on different filaments, is computed separately and later added to the virial. Because the MD simulations employ the microcanonical ensemble, the average temperature of the runs will drift slightly despite the initial equilibration period. On average the temperature drift
T was 2.4 K, and the largest value we observed was
T = 9.5 K. To compare results from different simulation runs, we add a correction term of the form (
P/
T)V
T to the pressure, where the thermal pressure coefficient (
P/
T)V is computed as described in (25
,26
).
We adopt the convention of considering water a solvent and actin and lysozyme solutes, to define the osmotic pressure
of the complex. Within the continuum approximation, the effect of water on solute-solute interactions is accounted for via the relative electric permittivity
r. Thus, the pressure we obtain via the virial theorem corresponds directly to the osmotic pressure
of the solutes (27
). We assume that the concentration of actin and lysozyme in the aqueous phase is negligible, so that in the absence of salt the actin-lysozyme complex is surrounded simply by bulk water. In this case, no osmotic pressure is exerted by the aqueous phase and mechanical equilibrium demands that the osmotic pressure of the bundled phase also equal zero. Indeed, recalling the thermodynamic definition of pressure,
![]() | (3) |
= 0 and 
/
V < 0, which describes a minimum in the free energy F. A similar approach has been used earlier to study the stability of bundles of rod-like polyelectrolytes condensed via counterions (see Lyubartsev et al. (3
One noteworthy point is that all our simulations apply to a bundle in excess water, i.e., there is no external solvent pressure acting on the complex. This is different from, e.g., a lamellar phase with fixed water content (29
), where the external pressure can permit coexistence of two phases (to be located via a Maxwell construction) that both have a positive pressure. Unlike what is claimed by Deserno et al. (28
), this does not apply to a bulk phase of charged polyelectrolytes, which will permit solvent exchange and thus does not have a fixed water content. However, it would be possible to exert an external pressure by means of an additional component that is unable to penetrate the bundle, such as the polyethylene glycol that was used to condense DNA by Lerman (30
) and Rau et al. (31
).
The relation between the pressure obtained from our simulations and the osmotic pressure of the solutes in the presence of water is an identity, limited only by the approximations arising from our implicit model for water. Such an identity would not hold if in our simulations we modeled the water explicitly, since the virial would contain contributions involving explicit interactions with water molecules. One way to obtain the osmotic pressure
in this case would be to determine the total pressure of both the aqueous and the bundled phases, and then subtract the former from the latter.
These considerations become important in the presence of salt, which generally will distribute unevenly between the two coexisting phases. Since we model the salt explicitly, there is now an osmotic pressure
salt exerted by salt in the aqueous phase and the osmotic pressure of the bundle is the difference of the pressure Psim obtained from simulation and the external osmotic pressure arising from the salt (32
). The osmotic pressure in the aqueous phase can be obtained by means of simulations that treat the salt molecules grand-canonically, so that the bundle is brought into equilibrium with a salt reservoir at a given chemical potential µsalt (33
). Here, however, we have adopted a different strategy. For a given concentration of salt in the bundlewhich we simulate via molecular dynamicswe apply the Widom particle-insertion method (16
) to determine µsalt. Since our MD simulations are carried out in the microcanonical ensemble, we must account for temperature fluctuations when computing the excess chemical potential
The proper average to collect is
![]() | (4) |
U is the change in energy resulting from the insertion of a pair of monovalent particles with opposite charges (34
where
ln
salt + 2 kBT ln
3, with
salt the average number density of the salt. The shifted chemical potential (cf. Eq. 1) of the salt in the condensed phase is thus given by
By performing grand-canonical Monte Carlo simulations of bulk salt at
we obtain the concentration of salt in the aqueous phase and the corresponding pressure
salt. This yields the osmotic pressure
= Psim
salt and we can apply the same criterion as before to study the stability of the actin-lysozyme complex with added salt. | RESULTS AND DISCUSSION |
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, centered about the qr and qz axes, where qr = q cos
, qz = q sin
. An examination of the slice along the equatorial (qr) direction shows the actin-actin close-packed bundling peak at q = 0.07 Å1. This peak corresponds to a nominal inter-actin spacing of
90 Å and can be compared with the
75 Å inter-actin spacing of close-packed actin measured in actin bundles condensed by small divalent ions (37
and the inter-actin spacing would be
15% larger than this value, or 104 Å.) Approximating lysozyme as an ellipsoid with the above-mentioned dimensions of 25 Å and 45 Å along its minor and major axes, respectively, we can see that the actin spacing of 90 Å is quantitatively consistent with a columnar actin lattice uniformly expanded by lysozyme in threefold interstitial sites, aligned with its long axis parallel to the actin rods. The expanded spacing is necessary to accommodate the lateral dimensions of the lysozyme. Along the meridional (qz) axis, a weak actin form factor peak at 0.113 Å1 can be observed. The most interesting feature along qz, however, is the strong correlation peak appearing at 0.130 Å1. This peak cannot be generated by the actin helix, or by any conceivable deformation of the actin helix. This peak is observed only in actin condensed with lysozyme and corresponds to a distance of
48 Å, which is essentially the length of lysozyme along its major axis from crystallographic data (39
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150 mM (Fig. 4 a). At higher monovalent salt concentrations, the trend reverses, and a weakening of the close-packed bundling peak is observed. The same results are seen using NaCl (Fig. 4 b), which indicates that this is not a cation-specific binding effect. Whereas the destabilization of the complexes at high salt concentrations is not surprising, the salt levels up to which they retain their stability is unexpectedly high. A number of explanations can be suggested for this counterintuitive behavior. It is possible that the actin-actin and lysozyme-lysozyme repulsions are screened faster than the lysozyme-actin attractions with increasing salt concentrations, due to the shape asymmetry between actin rods and lysozyme spheroids (41
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100 Å and asymptotically approaching zero as the separation increases. This asymptotic behavior arises because the system approaches infinite dilution in the limit of large L. At small separations the osmotic pressure rises abruptly, because the system is nearly close-packed in the lateral plane and repulsive excluded-volume interactions dominate. In view of the coarse-grained model adopted here, the predicted stable actin-actin separation agrees quite well with the value of
90 Å obtained from the experiments. We can compute the difference in Helmholtz free energy per actin repeat unit, f, between two systems at different separations, by numerically integrating Eq. 3,
![]() | (5) |
28 kBT per actin repeat unit, indicating that once the bundle has formed it is very unlikely to dissolve again.
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salt in the aqueous phase. The appropriate bulk salt concentration follows from the condition for chemical equilibrium,
Accordingly, for a given value of cbundle, we determine Psim(L) and
as a function of actin separation L. Comparison to the bulk pressure
salt obtained from grand-canonical simulations at chemical potential
yields a unique zero crossing,
![]() | (6) |
This condition determines the stable separation Lstable, the corresponding salt chemical potential, and hence the concentration in the aqueous phase. We find that the stability criterion can be satisfied for bundle salt concentrations up to 40 mM, corresponding to bulk salt concentrations of 67 mM. Fig. 6 summarizes the results for all values of cbundle, illustrating that there is a significant partitioning of salt between the bundled and aqueous phases: The concentration in the bundle is systematically suppressed to approximately half the bulk salt concentration. Since the osmotic pressure of the bundle rises more rapidly as a function of salt concentration than the pressure of an aqueous solution at the same concentration, the salt partitioning contributes in an essential manner to the bundle stability, allowing the osmotic pressure
salt to balance the bundle pressure Psim as salt concentration increases. Evidently, the exclusion of salt from the bundle is in turn driven by a complex interplay of entropic effects and electrostatic interactions. For cbundle = 50 mM, the stability criterion can no longer be satisfied, causing the bundle to disintegrate if the bulk salt concentration is raised above
70 mM. This value is lower than the maximum stable concentration found in the experiments. Whereas there are many inherent approximations in the simulation model that may be invoked to explain this discrepancy, there is one particular trend that ultimately destabilizes the bundles in the simulations, but is not observed in the experiments. Namely, for the points shown in Fig. 6 we find that the stable actin-actin separation increases slightly as a function of salt concentration, ranging from Lstable
100 Å to Lstable
116 Å for the range of salt concentrations shown. Although all values in this range are relatively close to the experimental result, the steady rise of Lstable disagrees with the SAXS data, which show an essentially constant peak position with increasing salt concentration (Fig. 4). Possibly, the swelling in the simulations occurs because of the lack of atomistic detail in the excluded-volume envelope of actin or because actin degrees of freedom have been ignored. Such degrees of freedom might allow the experimental bundles to accommodate more salt without the swelling that is observed in simulations. On the other hand, at sufficiently large salt concentrations, swelling would also be expected in the experimental system, although possibly only over a very narrow concentration range before destabilization. Certainly, the increase of the average actin-lysozyme separation in the swollen bundle diminishes the attractive electrostatic contribution to the osmotic pressure, rendering the complex unstable. Despite these differences, we consider our observation of salt partitioning as a confirmation and explanation of the experimental results and a central finding of the simulations presented here. In fact, owing to the swelling of the complexes, the simulations presumably overestimate the salt concentration within the bundle, since an increased bundle separation decreases the relative volume occupied by the actin and lysozyme. The mechanism identified here should affect the stability of a variety of self-assembled complexes that are driven by electrostatic interactions, especially those involving oppositely charged macroions with charge densities of similar magnitude, where the tendency toward counterion release is large.
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In Fig. 7 we show plots of the lateral lysozyme distribution for a system without added salt. These plots are generated by projecting the center of mass of each lysozyme molecule onto a plane perpendicular to the bundle axis, and averaging over the duration of the simulation run. Fig. 7 a corresponds to a bundle at the equilibrium actin-actin separation Lstable
100 Å. The lysozyme clearly has a pronounced tendency to occupy the threefold interstitial sites of the hexagonal actin lattice, corroborating our interpretation of the SAXS data in Fig. 2. Interestingly, there is also a slightly enhanced lysozyme concentration in the twofold bridging sites between pairs of neighboring filaments. This observation is remarkable since, at this separation, the excluded-volume repulsion of the actin filaments intrudes upon the bridging regions, effectively reducing the free volume available to lysozyme. In fact, the helical symmetry of the actin leads to an excluded-volume envelope with a rather convoluted shape. To distinguish any structure in the lysozyme distribution due to this shape, Fig. 7 b shows a bundle at the same actin-actin separation, but with all species neutral. The homogeneous lysozyme distribution obtained in this case demonstrates the dominant role of electrostatic interactions. The importance of these interactions can also be seen by comparing the actin excluded volume (white regions) in Fig. 7, a and b. In the absence of charged species the excluded volume is larger and the helical symmetry, which leads to the rough hexagonal shape of the white regions in Fig. 7 a, is much less pronounced. This reconfirms the strength of the electrostatic attraction between actin and lysozyme, and also makes it important to ensure that, during the simulation, the lysozyme is not trivially "frozen" in place. By measuring the mean-square displacement of lysozyme, we have explicitly confirmed that it indeed travels freely, with a diffusivity that is significantly higher along the filament axis than in the lateral plane.
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0.126 Å1, corresponding to the short-distance peak in g(z), and a much sharper peak centered at kz
0.088 Å1, corresponding to order with a period of
71.5 Å.
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Note that 0.035
and
These observations indicate that the broad maximum, which also corresponds to the experimental observations, is a robust feature, confirming that the lysozyme is aligned with its long axis along the filaments. On the other hand, the sharp maxima are features that arise from the perfect periodicity of our model system of filaments that lack rotational degrees of freedom. It is also possible to study the lysozyme distribution of bundles with larger actin-actin separations, which may arise as intermediate states during the process of bundle formation, provided that the lysozyme can relax on the timescale of motion of the actin filaments. Fig. 7 c shows the projected lysozyme distribution for a bundle with a lattice spacing of L = 116 Å, which corresponds to the minimum of the osmotic pressure curve in Fig. 5. As the osmotic pressure is negative at this separation, the bundle is actually contracting at this stage. Although the difference in lattice spacing, compared to the equilibrium configuration, is smalleven when compared to the size of lysozymethe lysozyme distribution is qualitatively different. The threefold interstitial regions are depleted, and instead the lysozyme occupies the bridging sites. Fig. 7 d demonstrates that, as with the stable system, this lysozyme distribution is dominated by electrostatic effects. "Contact" interactions between the lysozyme and actin are maintained despite the loss of entropy associated with the localization of lysozyme in the bridging regions.
| SUMMARY AND CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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This material is based upon work supported by the National Science Foundation under grants DMR-0346914 (to E.L.) and CTS-0120978, and by the National Institutes of Health under grant 1R21DK68431-01 (to G.W.). Portions of this research were carried out at the Stanford Synchrotron Radiation Laboratory and at the Advanced Photon Source. The Stanford Synchrotron Radiation Laboratory Structural Molecular Biology Program is supported by the Department of Energy, Office of Biological and Environmental Research, and by the National Institutes of Health, National Center for Research Resources, Biomedical Technology Program. Use of the Advanced Photon Source was supported by the U.S. Department of Energy, Office of Basic Energy Sciences, under contract No. W-31-109-ENG-38.
Submitted on November 22, 2005; accepted for publication February 27, 2006.
| REFERENCES |
|---|
|
|
|---|
2. Tang, J. X., and P. A. Janmey. 1996. The polyelectrolyte nature of F-actin and the mechanism of actin bundle formation. J. Biol. Chem. 271:85568563.
3. Lyubartsev, A. P., J. X. Tang, P. A. Janmey, and L. Nordenskiöld. 1998. Electrostatically induced polyelectrolyte association of rodlike virus particles. Phys. Rev. Lett. 81:54655468.[CrossRef]
4. Grosberg, A. Y., T. T. Nguyen, and B. I. Shklovskii. 2002. The physics of charge inversion in chemical and biological systems. Rev. Mod. Phys. 74:329345.[CrossRef]
5. Levin, Y. 2002. Electrostatic correlations: from plasma to biology. Rep. Prog. Phys. 65:15771632.[CrossRef]
6. Olvera de la Cruz, M., L. Belloni, M. Delsanti, J. P. Dalbiez, O. Spalla, and M. Drifford. 1995. Precipitation of highly charged polyelectrolyte solutions in the presence of multivalent salts. J. Chem. Phys. 103:57815791.[CrossRef]
7. Bloomfield, V. A. 1996. DNA condensation. Curr. Opin. Struct. Biol. 6:334341.[CrossRef][Medline]
8. Gelbart, W. M., R. F. Bruinsma, P. A. Pincus, and V. A. Parsegian. 2000. DNA-inspired electrostatics. Phys. Today. 53(September):3844.
9. Evans, H. M., A. Ahmad, K. Ewert, T. Pfohl, A. Martin-Herranz, R. F. Bruinsma, and C. R. Safinya. 2003. Structural polymorphism of DNA-dendrimer complexes. Phys. Rev. Lett. 91:075501.[CrossRef][Medline]
10. Weiner, D. J., R. Bucki, and P. A. Janmey. 2003. The antimicrobial activity of the cathelicidin LL37 is inhibited by F-actin bundles and restored by gelsolin. Am. J. Respir. Cell Mol. Biol. 28:738745.
11. Lodish, H., A. Berk, L. S. Zipursky, P. Matsudaira, D. Baltimore, and J. Darnell. 2000. Molecular Cell Biology, 4th Ed. Freeman, New York.
12. Sheils, C. A., J. Käs, W. Travassos, P. G. Allen, P. A. Janmey, M. E. Wohl, and T. P. Stossel. 1996. Actin filaments mediate DNA fiber formation in chronic inflammatory airway disease. Am. J. Pathol. 148:919927.[Abstract]
13. Sanders, L. K., C. Guáqueta, T. E. Angelini, J.-W. Lee, S. C. Slimmer, E. Luijten, and G. C. L. Wong. 2005. Structure and stability of self-assembled actin-lysozyme complexes in salty water. Phys. Rev. Lett. 95:108302.[CrossRef][Medline]
14. Janmey, P. A., J. Peetermans, K. S. Zaner, T. P. Stossel, and T. Tanaka. 1986. Structure and mobility of actin filaments as measured by quasielastic light scattering, viscometry, and electron microscopy. J. Biol. Chem. 261:83578362.
15. Refson, K. 2000. Moldy: a portable molecular dynamics simulation program for serial and parallel computers. Comput. Phys. Commun. 126:309328.
16. Frenkel, D., and B. Smit. 2002. Understanding Molecular Simulation, 2nd Ed. Academic Press, San Diego, CA.
17. Israelachvili, J. N. 1992. Intermolecular and Surface Forces, 2nd Ed. Academic Press, San Diego, CA.
18. Seyrek, E., P. L. Dubin, C. Tribet, and E. A. Gamble. 2003. Ionic strength dependence of protein-polyelectrolyte interactions. Biomacromolecules. 4:273282.[CrossRef][Medline]
19. McLaughlin, P. J., J. T. Gooch, H. G. Mannherz, and A. G. Weeds. 1993. Structure of gelsolin segment 1-actin complex and the mechanism of filament severing. Nature. 364:685692.[CrossRef][Medline]
20. Holmes, K. C., D. Popp, W. Gebhard, and W. Kabsch. 1990. Atomic model of the actin filament. Nature. 347:4449.[CrossRef][Medline]
21. Al-Khayat, H. A., N. Yagi, and J. M. Squire. 1995. Structural changes in actin-tropomyosin during muscle regulation: Computer modelling of low-angle X-ray diffraction data. J. Mol. Biol. 252:611632.[CrossRef][Medline]
22. Wriggers, W., R. A. Milligan, K. Schulten, and J. A. McCammon. 1998. Self-organizing neural networks bridge the biomolecular resolution gap. J. Mol. Biol. 284:12471254.[CrossRef][Medline]
23. Valleau, J. P., and L. K. Cohen. 1980. Primitive model electrolytes. I. Grand canonical Monte Carlo computations. J. Chem. Phys. 72:59355941.[CrossRef]
24. Theodorou, D. N., T. D. Boone, L. R. Dodd, and K. F. Mansfield. 1993. Stress tensor in model polymer systems with periodic boundaries. Makromol. Chem. Theory Simul. 2:191238.[CrossRef]
25. Cheung, P. S. Y. 1977. On the calculation of specific heats, thermal pressure coefficients and compressibilities in molecular dynamics simulations. Mol. Phys. 33:519526.[CrossRef]
26. Lebowitz, J. L., J. K. Percus, and L. Verlet. 1967. Ensemble dependence of fluctuations with application to machine computations. Phys. Rev. 153:250254.[CrossRef]
27. Hill, T. L. 1956. Statistical Mechanics: Principles and Selected Applications. McGraw-Hill, New York.
28. Deserno, M., A. Arnold, and C. Holm. 2003. Attraction and ionic correlations between charged stiff polyelectrolytes. Macromolecules. 36:249259.[CrossRef]
29. Moreira, A. G., and R. R. Netz. 2002. Simulations of counterions at charged plates. Eur. Phys. J. E. 8:3358.[Medline]
30. Lerman, L. S. 1971. A transition to a compact form of DNA in polymer solutions. Proc. Natl. Acad. Sci. USA. 68:18861890.
31. Rau, D. C., B. Lee, and V. A. Parsegian. 1984. Measurement of the repulsive force between polyelectrolyte molecules in ionic solution: hydration forces between parallel DNA double helices. Proc. Natl. Acad. Sci. USA. 81:26212625.
32. Guldbrand, L., L. G. Nilsson, and L. Nordenskiöld. 1986. A Monte Carlo simulation study of electrostatic forces between hexagonally packed DNA double helices. J. Chem. Phys. 85:66866698.[CrossRef]
33. Lyubartsev, A. P., and L. Nordenskiöld. 1995. Monte Carlo simulation study of ion distribution and osmotic pressure in hexagonally oriented DNA. J. Phys. Chem. 99:1037310382.[CrossRef]
34. Lustig, R. 1994a. Statistical thermodynamics in the classical molecular dynamics ensemble. I. Fundamentals. J. Chem. Phys. 100:30483059.[CrossRef]
35. Lustig, R. 1994b. Statistical thermodynamics in the classical molecular dynamics ensemble. II. Application to computer simulation. J. Chem. Phys. 100:30603067.[CrossRef]
36. Hammersley, A. P., S. O. Svensson, M. Hanfland, A. N. Fitch, and D. Häusermann. 1996. Two-dimensional detector software: from real detector to idealised image or two-theta scan. High Pressure Res. 14:235248.[CrossRef]
37. Angelini, T. E., H. Liang, W. Wriggers, and G. C. L. Wong. 2003. Like-charge attraction between polyelectrolytes induced by counterion charge density waves. Proc. Natl. Acad. Sci. USA. 100:86348637.
38. Wong, G. C. L., J. X. Tang, A. Lin, Y. Li, P. A. Janmey, and C. R. Safinya. 2000. Hierarchical self-assembly of F-actin and cationic lipid complexes: stacked three-layer tubule networks. Science. 288:20352039.
39. Diamond, R. 1974. Real-space refinement of the structure of hen egg-white lysozyme. J. Mol. Biol. 82:371391.[CrossRef][Medline]
40. Wriggers, W., R. A. Milligan, and J. A. McCammon. 1999. Situs: a package for docking crystal structures into low-resolution maps from electron microscopy. J. Struct. Biol. 125:185195.[CrossRef][Medline]
41. Henle, M. L., C. D. Santangelo, D. M. Patel, and P. A. Pincus. 2004. Distribution of counterions near discretely charged planes and rods. Europhys. Lett. 66:284290.[CrossRef]
42. Dobrynin, A. V., and M. Rubinstein. 1995. Flory theory of a polyampholyte chain. J. Phys. II (France). 5:677695.[CrossRef]
43. Carlsson, F., P. Linse, and M. Malmsten. 2001. Monte Carlo simulations of polyelectrolyte-protein complexation. J. Phys. Chem. B. 105:90409049.
44. Dobrynin, A. V., R. H. Colby, and M. Rubinstein. 2004. Polyampholytes. J. Polym. Sci. B. 42:35133538.[CrossRef]
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