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* Laboratory of Physics and Helsinki Institute of Physics, Helsinki University of Technology, Helsinki, Finland;
Wihuri Research Institute, Helsinki, Finland; and
Memphys-Center for Biomembrane Physics, Physics Department, University of Southern Denmark, Odense, Denmark; and
Institute of Physics, Tampere University of Technology, Tampere, Finland
Correspondence: Address reprint requests to Ilpo Vattulainen, Laboratory of Physics and Helsinki Institute of Physics, Helsinki University of Technology, PO Box 1100, FI02015 HUT, Helsinki, Finland. E-mail: ilpo.vattulainen{at}csc.fi.
| ABSTRACT |
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| INTRODUCTION |
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The amide-linked acyl chains in natural SMs vary from 16 to 24 carbons in length and usually contain on average only 0.10.35 cis double bonds per chain. Thus, the chains of SM are generally longer and more saturated than the ones in PCs. Additionally, the double bonds in the acyl chains of SM are usually located further away from the lipid/water interface (11
). The long and saturated nature of SM acyl chains may have a substantial effect on its interactions with other membrane components, such as sterols and proteins. Also, the relatively large mismatch in length between the two SM chains may lead to interesting phenomena. For example, interdigitation of the long acyl chains into the opposing leaflet could provide a mechanism for transmission of information across cell membranes (12
). Experimental studies of model membranes consisting of 24:0-SM (13
) have revealed two distinct gel phases exhibiting qualitatively different long-chain interdigitation across the bilayer center. In gel phase 2 (lower temperature), the chains take a mixed interdigitated conformation, in which the acyl chains penetrate through the whole membrane and the ends of sphingosine (SPH) chains meet. In gel phase 1 (higher temperature), the chains are partially interdigitated, meaning that the acyl chain ends meet with the ends of SPH chains of the opposing leaflet. Even if the observations on interdigitation are usually related to single-component bilayers in the gel phase, partial interdigitation has also been predicted to be important for a fluid phase (14
). In addition, different studies of long-chain glycosphingolipids in fluid-phase PC bilayers have shown evidence of chain interdigitation (15
17
), although in some conditions the long chain ends of glycosphingolipids have been shown to terminate at the bilayer center (18
). If chain interdigitation in biological membranes is a significant phenomenon, SMs are among the most probable candidates responsible for it.
The difficulties related to experimental studies on lipids imply that there is a great need for atomistic simulation studies to provide a more detailed insight into the properties of membrane systems. Despite a wide range of simulations carried out on different lipids (19
23
), only a few recent simulation studies have concentrated on bilayer systems with SM. In most of these studies, the structure of pure SM bilayers has been analyzed and the observed differences with, e.g., PC bilayers have been mostly explained by the greater capacity of SM to form inter- and intramolecular hydrogen bonds (24
27
). Also, a few studies have included mixtures of SM with other lipids, such as cholesterol and unsaturated PCs (28
30
).
The aim of this study is to investigate a number of bilayers comprised of the naturally most abundant SMs and then, in a systematic manner, analyze the differences related to their structural and dynamic properties due to varying chain length and unsaturation. In addition to providing detailed insight into molecular properties of the naturally most abundant SM species, this simulation study is, to our knowledge, the first one that systematically investigates the effect of chain length and monounsaturation on fluid-phase lipid bilayers.
| SIMULATION DETAILS |
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9, 18:1cis
9, 20:1cis
11, 22:1cis
13, and 24:1cis
15) (33
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As a starting structure, we used the coordinates of a fully hydrated dipalmitoylphosphatidylcholine (DPPC) bilayer from a previously published simulation study (39
), in which the corresponding atoms were replaced or added and the structure was stabilized by energy minimization. For SMs with longer chains, more space between the monolayers was created. The system was hydrated with 3655 water molecules (42 wt % H2O), which is well above the measured limit values of full hydration: 35 wt % H2O for 18:0-SM in 328 K (43
) or 29.5 wt % H2O for 24:0-SM in 313 K (44
). Finally, the energy of the whole system was minimized again and the water was equilibrated in a short 20-ps simulation with restrained lipid positions.
The simulations were performed in the NpT ensemble. In the beginning, the systems were equilibrated for 4.0 ns by Berendsen thermostat with a time constant
= 0.1 ps and by Berendsen barostat with
= 1.0 ps (45
). After that, we switched to a Nosé-Hoover thermostat (46
,47
), with
= 0.1 ps, and a Parrinello-Rahman barostat (48
,49
) with a time constant
= 1.0 ps to reproduce the correct ensemble. In each case, the lipid bilayer and water were separately coupled to the heat bath and the semiisotropic pressure coupling was applied separately in the xy direction (bilayer plane) and the z direction (bilayer normal). The temperature used, T = 323 K, is above the main phase transition temperature of Tm = 319321 K of 24:0-SM (33
,44
,50
,51
), which has the highest Tm of the lipids under study. For the time step, we used a value of 2.0 fs. In total, each system was simulated for 50.0 ns, of which 10.0 ns was regarded as an equilibration period and was not included in any of the analysis steps described later. Snapshots of some selected bilayers are shown in Fig. 2.
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| RESULTS AND DISCUSSION |
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A
. This quantity, calculated from the xy dimensions of the simulation box, can be used as an indicator to monitor equilibration during simulations. Fig. 3 shows the average area per lipid versus time, A(t), of the 10 simulated systems. Each simulation was first started from a loose structure characterized by A(0) = 0.65 nm2. Within a few nanoseconds, this structure spontaneously organized into a more compact one. On the basis of the curves in Fig. 3, we have chosen to cut the first 10 ns from each simulation trajectory and use the remaining 40 ns for analysis.
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A
with experimental observations is rather challenging, since the reported systematic studies on SM are unfortunately few and varying. Maulik et al. (52
0.64 nm2 for 16:0-SM to
0.59 nm2 for 24:0-SM (T = 323 K). This case is discussed below in more detail. More recent studies by Maulik et al. have utilized x-ray diffraction and found 0.47 nm2 for 16:0-SM (53
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As mentioned above, the values found by Maulik et al. ranged from 0.64 nm2 for 16:0-SM to 0.59 nm2 for 24:0-SM (T = 323 K). These values were found by dividing the estimated molecular volume by the measured bilayer thickness. By following the method applied in Maulik et al. (52
) and using our simulated values for the bilayer thickness (see Fig. 4 B), we found that the approximate values for
A
were qualitatively consistent with those shown in Fig. 4 A. However, the approximate results were systematically
0.03 nm2 larger than those given in Fig. 4 A. That may partly explain the relatively large values reported in (52
) for
A
, since most of the above-discussed experimental studies are in favor of considerably smaller values for the average area per lipid. Nevertheless, the qualitative trend reported in Maulik et al. (52
) is in line with our simulation data, that is,
A
decreases for an increasing chain length. This conclusion is also supported by studies of Petrache et al. (57
), who found that for saturated PCs the average area per molecule decreases for an increasing chain length.
As for effects due to unsaturation, we found monounsaturation to result in a clear increase in the observed area per lipid for all systems, on average by 0.036 ± 0.007 nm2. As systematic experimental studies on the double-bond effect on surface area are lacking for SMs, we compare our results with earlier simulations carried out on PCs. The difference in average area per lipid between POPC and DPPC, structurally resembling the difference between 18:0-SM and 18:1-SM, has been reported in different studies to range from 0.043 nm2 (58
) to 0.047 nm2 (59
). The fact that this value is smaller for SM can be traced back to hydrogen bonding, as intermolecular hydrogen bonding between SMs has been shown to lead to smaller values for the average area per lipid (27
). Also, the effect of double bonds on the main phase transition temperature has been observed to be smaller for SM than for PC (33
).
The thickness of each bilayer was estimated by dpp, the peak-to-peak distance of the calculated electron density profiles (see Fig. 8, A and B). The thickness, plotted in Fig. 4 B, increases linearly when the acyl chain length is increased. Again, it is difficult to compare the absolute values and trends with experiments because the conditions in different studies vary unsystematically, resulting in dpp values between 4.1 and 5.6 nm for different lipids (43
,44
,53
,60
). Instead, the increasing trend of 0.12 ± 0.01 nm per CH2 group, obtained by fitting to Fig. 4 B, shows an excellent agreement with a systematic x-ray study on saturated SMs at T = 323 K (52
), which reported an increase of 0.130.14 nm per CH2 group. The average effect of unsaturation on the bilayer thickness is 0.25 ± 0.04 nm for all systems, as estimated from Fig. 4 B. This can be compared with the reported
0.3 nm difference in thickness between POPC and DPPC bilayers (59
).
In all, considering the experimental difficulties in finding accurate estimates for
A
and dpp, together with the small number of systematic studies on different SMs in similar conditions, the values predicted by our model for these structural parameters are in reasonably good agreement with experimental findings.
Chain structure
We describe the orientational order of the hydrocarbon chains by the deuterium order parameter,
![]() | (1) |
is the angle between a selected C-H vector and the bilayer normal. As the apolar hydrogens are not explicitly present in united-atom simulations, we reconstructed the corresponding C-H vectors using backbone chain configuration to calculate the SCD values.
The resulting order parameter values are shown in Fig. 5. The average chain order in liquid SM bilayers is higher than in bilayers of structurally matched PCs, as discussed earlier (27
). This effect is related to the lower average area per lipid and the stronger intermolecular hydrogen bonding between SMs. Although the order parameter profiles of the different SM systems are similar in shape and height, some differences are yet evident.
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According to common interpretation, the cis double bond introduces a kink into the average chain structure and thus disturbs the packing of the chains. However, in a gel-phase bilayer, the unsaturated chains are more likely to adopt "crankshaft" than "boomerang" conformations due to steric hindrance effects (62
). By this notation, the term boomerang refers to a structure where the two linear segments of the unsaturated chain, separated by the double bond, are oriented at an angle of
130° with respect to each other. In the "crankshaft"-like conformation, the single bonds adjacent to the double bond set their torsional angles in such a way that the two chain segments before and after the double bond are essentially parallel with each other (see Li et al. (62
) for details). To clarify the chain structure, we have plotted distributions of local chain orientations in a few systems in Fig. 6. The distributions clearly indicate the effect of the double bond on the chain orientation to be local. Even when the chain is bent almost parallel to the bilayer plane at the double-bond location and its close vicinity, the orientation of the ends of unsaturated chains is very similar to that found in the saturated chains. Thus, the crankshaft conformation seems to be a more valid description for the SM systems discussed here.
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Density profiles
To quantify interdigitation of the acyl chains across the bilayer center, we have plotted electron density profiles
e(z) and molecular number density profiles
Nmol(z)
in Fig. 8. The molecular number density was calculated by considering the maximum extension of the molecule along the z axis, taking the van der Waals radii for the atoms into account, as introduced in a previous work (63
,64
).
The electron density profiles shown in Fig. 8, A and B, first illustrate that interdigitation is increased for an increasing acyl chain length, as expected. The shapes of
e(z) curves across the whole system resemble those measured by x-ray diffraction, indicating a clear local maximum at the bilayer center for the longer chains (52
). Separate electron density plots for the acyl and sphingosine chains in Fig. 8, G and H, show clearly that the long acyl chains are mostly responsible for the observed local maximum at the bilayer center. Nevertheless, instead of interdigitating to the opposing leaflet, the acyl chain ends prefer to reside on the side of their own monolayer, as indicated by the peak in the chain densities calculated separately for the monolayers (see Fig. 8, G and H).
Hence, interdigitation in SM systems is not only due to acyl chains; the role of SPH is also important. Fig. 8, C and D, shows that interdigitation due to the sphingosine chain is rather considerably more pronounced in unsaturated SMs, and the difference is particularly evident in the case of short acyl chains. Fig. 8, E and F, in turn, demonstrates that interdigitation of the acyl chains in saturated and unsaturated SMs is largely similar, since the electron density profiles for the acyl chains are almost identical (see also discussion below).
To better characterize the significance of unsaturation on interdigitation, let us consider Fig. 8, G and H. They show that the density maximum of acyl chains is a bit higher for saturated systems, indicating a stronger tendency of the longer saturated chains to bend before the center of the bilayer (see the maximum at z
0.4 nm). In unsaturated SMs, this effect is also present, but it is somewhat weaker. The molecular number densities shown in Fig. 8, I and J, further indicate that interdigitation in unsaturated SMs is slightly more prominent than in saturated lipids. In particular, although the number of interdigitated molecules shows no clear difference when saturated and unsaturated acyl chains of lengths 22 and 24 carbons are compared, there is a notable difference in the case of short-chained lipids (16 and 18 carbons), indicating more preferential interdigitation for unsaturated lipids. This can be understood on the basis of the chain-length analysis in Fig. 7, which shows that the sphingosine chain is actually longer than (or as long as) the shorter acyl chains. Now, as the double bond shortens the acyl chain, this leads to stronger interference between sphingosine chains of the opposite monolayers and thus stronger molecular interdigitation. Summarizing, although the differences are minor, our results propose that interdigitation in unsaturated SMs is slightly more prominent than in saturated sphingomyelins. The possible biological significance of this finding and related consequences are discussed at the end of this article.
Lateral diffusion
To investigate lateral diffusion of the lipids, their center of mass (CM) coordinates were projected onto the xy plane and the two-dimensional mean-squared displacements
[r(t)]2
were plotted in Fig. 9. The tracer diffusion coefficient characterizing the lateral diffusion of individual molecules is ideally obtained from the slope of these graphs at long times by:
![]() | (2) |
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As the differences in DT values between saturated and unsaturated lipids are expected to be related to the average area per lipid and the degree of chain interdigitation, it is interesting to find that lateral diffusion is faster in unsaturated SM bilayers. Since increasing interdigitation is expected to slow down diffusion (see Fig. 8), whereas increasing area per molecule enhances diffusion (Fig. 3), it seems evident that here the role of interdigitation for lateral diffusion is not as important as the role of area per molecule, or, more precisely, the free area available for diffusion. The diffusion of the monolayers with respect to each other, however, should mainly depend on the interleaflet friction (viscosity) and thus be an indicator of the degree of interdigitation. To analyze this, we plotted the mean-squared displacements of the CM positions of the two monolayers with respect to each other (data not shown). Although the statistics is quite poor, one clear observation can be made. The root mean-squared velocity, deduced from the relative displacements of the monolayers on a 10-ps timescale is 9.4 ± 0.1 nm/ns for saturated systems and 8.8 ± 0.1 nm/ns for unsaturated systems, the difference being observable for all of the chain lengths. The effect can also be observed from the total relative displacements of the monolayers after 40 ns, which are
23 times larger for saturated than for unsaturated systems. The picture which emerges from these findings is consistent with the above results for interdigitation: unsaturated SM bilayers are characterized by slightly stronger interdigitation compared to saturated SMs, and hence interleaflet friction is more notable in unsaturated SM bilayers.
Rotational motions
The rotational motions of different parts of the lipids can be examined by utilizing the second rank reorientational autocorrelation functions C2(t):
![]() | (3) |
is a unit vector that defines the chosen rotational mode. Three different rotational modes were analyzed: the headgroup, the interfacial region, and the C-H bond vectors along the acyl chains. For the interfacial region, we chose a vector from sphingosine C3 to C1, and for the headgroup, a vector from headgroup phosphorus (P) to nitrogen (N). Fig. 11 shows the decay half-times, t1/2, of the reorientational C2(t) functions for these vectors. One can see that the headgroups are much more mobile than the interfacial regions in each system. Also, the rotational motions tend to get slower when the acyl chain length is increased, which might be due to decreased area per lipid. The effect of unsaturation is also quite significant: the decay time of each rotational motion is two to three times slower for the saturated than for the unsaturated version of a lipid.
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is used to quantify the decay of the autocorrelation functions, as introduced in our previous study (27
The rotational motions of the chains, indicated by
of the individual C-H autocorrelation functions, are increasing in roughly exponential fashion when going from chain ends toward the interfacial region. It can be noted that both chains of 24:0-SM are significantly slower than in the other systems, which may be a reflection of the main phase transition temperature of this particular lipid, which is already close to the simulation temperature. The effect of cis double bonds on chain dynamics can be clearly seen in Fig. 12, which indicates that the lower carbon of the C=C bond is always slowed down. However, the ends of the saturated chains are just as fast as those of the unsaturated chains. This is mainly enabled by the next adjacent dihedral bonds to the double bond, which are faster and thus compensate the slowing down (68
). The details of the dynamics near the double bond are a consequence of the utilized force-field parameters. In this study, the general observations are not significantly affected by the different parameters available, as reported and discussed in "Effect of double-bond parameters", below, and in the Supplementary Material.
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in a qualitative manner. The values of t1/2 increase exponentially from subpicosecond values to tens of picoseconds for acyl chains and up to nanoseconds for sphingosine chains (data not shown).
Hydrogen bonding and related characteristics
The tendency of sphingomyelin to form intra- and intermolecular hydrogen bonds is related to many of its characteristic structural and dynamic properties in bilayers. It is thus interesting to study the possible differences in hydrogen bonding caused by variations in chain length and saturation. We have used the following geometrical criteria to find hydrogen bonds from the simulation trajectory: the acceptor-hydrogen distance dah
0.25 nm and the donor-hydrogen-acceptor angle
dha
90°. More detailed discussion on the utilized method can be found elsewhere (27
).
The average numbers of detected hydrogen bonds in the studied systems are presented in Table 1. The trends in our results agree with earlier simulation studies comparing the effects of cis versus trans unsaturation in PCs, where the average number of hydrogen bonds changed with increasing area per lipid (69
). As the average lipid-lipid distance increases upon unsaturation, the number of intermolecular hydrogen bonds between lipids tends to decrease, whereas the number of intramolecular bonds increases. The same logic can be applied to the number of lipid-solvent bonds, which increases with greater area per lipid, as there is more space for water molecules. As there are no great differences in the average area per lipid values between the sphingomyelin systems studied here, the absence of striking differences in the hydrogen-bonding properties is not surprising. However, our results do not disagree with the above-mentioned earlier study for PCs.
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90%) and Ob (
10%), whereas the intermolecular bonds are dominated by the NH groups, bonding mainly with the hydroxyl and carboxyl oxygens OOH and OC1, but also, to a varying extent, with the phosphoryl oxygens OaOd. In all systems, water is mainly (
70%) hydrogen-bonded with phosphoryl oxygens Oc and Od, but also with all other polar groups of the lipids. Some systematic trends can be found from the average numbers of hydrogen bonds when comparing different systems. Unsaturation tends to redistribute the lipid-lipid hydrogen bonds in such a way that the NH group forms fewer bonds with hydroxyl oxygen OOH, but sometimes even more bonds with the carboxyl and phosphoryl oxygens. This refers to a conformational restriction, such as a need for a close proximity of the molecules to form an intermolecular bond between the NH group and OOH atom. The hydrogen bonds between lipids and water, however, show no notable redistribution but rather generally increase in number upon unsaturation.
Significant differences could not be observed in structural properties related to hydrogen bonding. The angular distribution of the P-N vectors with respect to the bilayer normal were similar for each system, as well as the average orientational profiles of water dipoles. Thus, also, the values for electrostatic potential between the bilayer center and bulk water are close to each other:
V = (0.64 ± 0.04)V for saturated systems and
V = (0.65 ± 0.02)V for unsaturated systems. Also, the orientational distribution of a selected interfacial vector (sphingosine C1 to C3) showed very little difference among the studied systems, reflecting similarity in the structure of the interfacial region as well.
Effect of double-bond parameters
In recent computational studies on unsaturated lipids, a number of different parameterizations for the cis double bond have been utilized (35
,36
,68
,70
). In our work, we adapted these parameters from a previously published POPC simulation, based on the GROMOS force field (35
). To investigate the effect of double-bond description, we ran a short 4-ns simulation on the 16:1-SM system starting from the last configuration at 50 ns with another parameter set that is available for a united-atom model in GROMACS, originally developed for polyunsaturated lipids (36
).
The most significant difference observed after changing the double-bond description was related to the local ordering and dynamics of the acyl chain around the double bond region (see Supplementary Material). This is understandable, as the major difference between the different united atom parameterizations for acyl chains with double bonds is not in how they treat the double bonds themselves, but in how the neighboring single bonds are treated. We note that the effect of the double bond reaches a few bond lengths in both directions along the acyl chain. The acyl chains appear less ordered and more mobile around the double bond, but the effect, especially in ordering, vanishes out toward either of the chain ends. In other quantities studied in this work, the effects due to double-bond description were considerably weaker.
On the basis of the above information, we have, hereby, a clear qualitative idea of how different parameterizations affect the results presented here. The changes appear in spatially local quantities and are hence quite easily predictable. The description of the double-bond region is hence not expected to lead to any significant differences in the conclusions or in the trends predicted by the simulations discussed in this work. Nevertheless, we wish to stress that care should be taken, since it is not always clear how the double-bond description affects the overall behavior of the system. It is worthwhile to test a few of the commonly employed descriptions and gauge their influence on simulation results. For obvious reasons, this is particularly the case in polyunsaturated systems: some of the previously suggested parameterizations seem not to take into account the so-called "skew" nature of the single bonds that are next to the double bond. It has been proposed that this is responsible for the extraordinary flexibility of polyunsaturated acyl chains (71
).
| CONCLUDING REMARKS |
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15 (11In this work, we have employed atomic-scale molecular dynamics simulations to study bilayers with a number of structurally different sphingomyelin molecules, ranging from 16:0/16:1 to 24:0/24:1. The objective has been to elucidate the effects of chain-length mismatch and monounsaturation on bilayer structure and dynamics. In particular, we have addressed the extent of interdigitation in these systems and its implications for membrane properties.
The observed linear increase in bilayer thickness per added CH2 group is in excellent agreement with experiments, as is also the rate of lateral diffusion in a 16:0-SM bilayer. Further, the electron density profiles calculated from our simulation data for long-chain SMs reproduce the secondary peak in the middle of the bilayer, which was previously observed for 22:0-SM and 24:0-SM bilayers by x-ray diffraction (52
). These findings, and in particular the agreement of our electron-density profiles with experimental data allows us to be confident that the description of our model system is on a solid ground.
Apart from increased bilayer thickness, an increasing acyl chain length has various other effects on SM bilayers. It leads to a slight reduction in the average area per lipid and consequently to a minor enhancement in the ordering of SPH and acyl chains. SMs with saturated acyl chains are more tightly packed and ordered than the monounsaturated counterparts. Further, the decreasing area per molecule (and enhanced ordering) with an increasing acyl chain length is likely the reason for a decrease in lateral diffusion rates, and for the slowing down of rotational motions at the interfacial and headgroup regions.
One of the most interesting phenomena related to lipids with a large chain-length disparity is the interdigitation of the longer chains across the bilayer center. It has been shown that interdigitation significantly affects the properties of gel-phase lipid bilayers, and it has been proposed that this might be important for bilayers in the fluid phase as well (14
). Our results support this idea. We have found that in the fluid phase above Tm, there is rather significant interdigitation for all acyl chain lengths considered. The interdigitation is emphasized for an increasing chain length, and is slightly more pronounced in monounsaturated SMs. The latter finding seems to imply that in monounsaturated SM bilayers the intermonolayer friction is somewhat stronger than in bilayers comprised of saturated SMs, indicating a stronger coupling of the two leaflets in unsaturated SM systems. There is reason to acknowledge, however, that the mentioned effects are relatively minor.
As we are here dealing with the fluid phase, it is tempting to ask what is the biological significance of chain interdigitation at lower temperatures in the gel phase or in ordered domains rich in cholesterol and SM. In plasma membranes, these lipids are mainly located at the extracellular leaflet, whereas the composition of the other leaflet is highly different. This renders the question on the biological significance of interdigitation in bilayers more complex than can be explained in terms of single-component studies. Finally, the role of acyl chain length and unsaturation on SM interaction with cholesterol remains one of the problems calling for more detailed quantification. These issues are to be discussed elsewhere.
| SUPPLEMENTARY MATERIAL |
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| ACKNOWLEDGEMENTS |
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This work has, in part, been supported by the Academy of Finland through its Center of Excellence Program (P.S.N. and I.V.), the Academy of Finland grant Nos. 202598 (P.S.N), 80246 (I.V.), and 80851 (M.T.H.), the Jenny and Antti Wihuri Foundation (M.T.H.), and the Finnish Academy of Science and Letters (P.S.N.).
Submitted on May 25, 2005; accepted for publication October 20, 2005.
| REFERENCES |
|---|
|
|
|---|
2. Brown, D. A., and E. London. 2000. Structure and function of sphingolipid- and cholesterol-rich membrane rafts. J. Biol. Chem. 275:1722117224.
3. Edidin, M. 2003. The state of lipid rafts: From model membranes to cells. Annu. Rev. Biophys. Biomol. Struct. 32:257283.[CrossRef][Medline]
4. Mayor, S., and M. Rao. 2004. Rafts: scale-dependent, active lipid organization at the cell surface. Traffic. 5:231240.[CrossRef][Medline]
5. Pike, L. J. 2004. Lipid rafts: heterogeneity on the high seas. Biochem. J. 378:281292.[CrossRef][Medline]
6. Simons, K., and E. Ikonen. 1997. Functional rafts in cell membranes. Nature. 387:569571.[CrossRef][Medline]
7. Lai, E. C. 2003. Lipid rafts make for slippery platforms. J. Cell Biol. 162:365370.
8. Munro, S. 2003. Lipid rafts: elusive or illusive? Cell. 115:377388.[CrossRef][Medline]
9. Brown, R. E. 1998. Sphingolipid organization in biomembranes: what physical studies of model membranes reveal. J. Cell Sci. 111:19.[Abstract]
10. Holopainen, J. M., A. J. Metso, J.-P. Mattila, A. Jutila, and P. K. J. Kinnunen. 2004. Evidence for the lack of a specific interaction between cholesterol and sphingomyelin. Biophys. J. 86:15101520.
11. Ramstedt, B., and J. P. Slotte. 2002. Membrane properties of sphingomyelins. FEBS Lett. 531:3337.[CrossRef][Medline]
12. Schmidt, C. F., Y. Barenholz, C. Huang, and T. E. Thompson. 1978. Monolayer coupling in sphingomyelin systems. Nature. 271:775777.[CrossRef][Medline]
13. Levin, I. W. 1985. Two types of hydrocarbon chain interdigitation in sphingomyelin bilayers. Biochemistry. 24:62826286.[CrossRef][Medline]
14. Huang, C., and J. T. Mason. 1986. Structure and properties of mixed-chain phospholipid assemblies. Biochim. Biophys. Acta. 864:423470.[Medline]
15. Lu, D., D. Singh, M. R. Morrow, and C. W. M. Grant. 1993. Effect of glycosphingolipid fatty acid chain length on behavior in unsaturated phosphatidylcholine bilayers. Biochemistry. 32:290297.[CrossRef][Medline]
16. Mehlhorn, I. E., E. Florio, K. R. Barber, C. Lordo, and C. W. M. Grant. 1988. Evidence that trans-bilayer interdigitation of glycosphingolipid long chain fatty acids may be a general phenomenon. Biochim. Biophys. Acta. 939:151159.[Medline]
17. Morrow, M. R., D. Singh, D. Lu, and C. W. M. Grant. 1993. Glycosphingolipid acyl chain orientational order in unsaturated phosphatidylcholine bilayers. Biophys. J. 64:654664.
18. Boggs, J. M., and K. M. Koshy. 1994. Do the long fatty acid chains of sphingolipids interdigitate across the center of a bilayer of shorter chain symmetric phospholipids? Biochim. Biophys. Acta. 1189:233241.[Medline]
19. Ash, W. L., M. R. Zlomislic, E. O. Oloo, and D. P. Tieleman. 2004. Computer simulations of membrane properties. Biochim. Biophys. Acta. 1666:158189.[Medline]
20. Feller, S. E. 2000. Molecular dynamics simulations of lipid bilayers. Curr. Opin. Colloid Interface Sci. 5:217223.[CrossRef]
21. Saiz, L., and M. L. Klein. 2002. Computer simulation studies of model biological membranes. Acc. Chem. Res. 35:482489.[CrossRef][Medline]
22. Scott, H. L. 2002. Modeling the lipid component of membranes. Curr. Opin. Struct. Biol. 12:495502.[CrossRef][Medline]
23. Tieleman, D. P., S. J. Marrink, and H. J. C. Berendsen. 1997. A computer perspective of membranes: Molecular dynamics studies of lipid bilayer systems. Biochim. Biophys. Acta. 1331:235270.[Medline]
24. Chiu, S. W., S. Vasudevan, E. Jakobsson, R. J. Mashl, and H. L. Scott. 2003. Structure of sphingomyelin bilayers: A simulation study. Biophys. J. 85:36243635.
25. Hyvönen, M. T., and P. T. Kovanen. 2003. Molecular dynamics simulation of sphingomyelin bilayer. J. Phys. Chem. B. 107:91029108.
26. Mombelli, E., R. Morris, W. Taylor, and F. Fraternali. 2003. Hydrogen-bonding propensities of sphingomyelin in solution and in a bilayer assembly: A molecular dynamics study. Biophys. J. 84:15071517.
27. Niemelä, P., M. T. Hyvönen, and I. Vattulainen. 2004. Structure and dynamics of sphingomyelin bilayer: insight gained through systematic comparison to phosphatidylcholine. Biophys. J. 87:29762989.
28. Khelashvili, G. A., and H. L. Scott. 2004. Combined Monte Carlo and molecular dynamics simulation of hydrated 18:0 sphingomyelin-cholesterol lipid bilayers. J. Chem. Phys. 120:98419847.[CrossRef][Medline]
29. Pandit, S. A., E. Jakobsson, and H. L. Scott. 2004a. Simulation of the early stages of nano-domain formation in mixed bilayers of sphingomyelin, cholesterol, and dioleylphosphatidylcholine. Biophys. J. 87:33123322.
30. Pandit, S. A., S. Vasudevan, S. W. Chiu, R. J. Mashl, E. Jakobsson, and H. L. Scott. 2004b. Sphingomyelin-cholesterol domains in phospholipid membranes: atomistic simulation. Biophys. J. 87:10921100.
31. Berendsen, H. J. C., D. van der Spoel, and R. van Drunen. 1995. Gromacs: a message-passing parallel molecular dynamics implementation. Comput. Phys. Commun. 91:4356.[CrossRef]
32. Lindahl, E., B. Hess, and D. van der Spoel. 2001. Gromacs 3.0: A package for molecular simulation and trajectory analysis. J. Mol. Model. 7:306317.
33. Koynova, R., and M. Caffrey. 1995. Phases and phase transitions of the sphingolipids. Biochim. Biophys. Acta. 1255:213236.[Medline]
34. Ramstedt, B., P. Leppimäki, M. Axberg, and J. P. Slotte. 1999. Analysis of natural and synthetic sphingomyelins using high-performance thin-layer chromatography. Eur. J. Biochem. 266:9971002.[Medline]
35. Tieleman, D. P., and H. J. C. Berendsen. 1998. A molecular dynamics study of the pores formed by Escherichia coli OmpF porin in a fully hydrated palmitoyloleoylphosphatidylcholine bilayer. Biophys. J. 74:27862801.
36. Bachar, M., P. Brunelle, D. P. Tieleman, and A. Rauk. 2004. Molecular dynamics simulation of a polyunsaturated lipid bilayer susceptible to lipid peroxidation. J. Phys. Chem. B. 108:71707179.
37. Berendsen, H. J. C., J. P. M. Postma, W. F. van Gunsteren, and J. Hermans. 1981. Interaction models for water in relation to protein hydration. In Intermolecular Forces. B. Pullman, editor. Reidel, Dordrecht, The Netherlands. 331342.
38. Essmann, U., L. Perera, M. L. Berkowitz, T. Darden, H. Lee, and L. G. Pedersen. 1995. A smooth particle mesh Ewald potential. J. Chem. Phys. 103:85778592.[CrossRef]
39. Patra, M., M. Karttunen, M. T. Hyvönen, E. Falck, P. Lindqvist, and I. Vattulainen. 2003. Molecular dynamics simulations of lipid bilayers: major artifacts due to truncating electrostatic interactions. Biophys. J. 84:36363645.
40. Patra, M., M. Karttunen, M. T. Hyvönen, E. Falck, and I. Vattulainen. 2004. Lipid bilayers driven to a wrong lane in molecular dynamics simulations by subtle changes in long-range electrostatic interactions. J. Phys. Chem. B. 108:44854494.
41. Hess, B., H. Bekker, H. J. C. Berendsen, and J. G. E. M. Fraaije. 1997. LINCS: a linear constraint solver for molecular simulations. J. Comput. Chem. 18:14631472.[CrossRef]
42. Miyamoto, S., and P. A. Kollman. 1992. SETTLE: An analytical version of the SHAKE and RATTLE algorithms for rigid water models. J. Comput. Chem. 13:952962.[CrossRef]
43. Maulik, P. R., P. K. Sripada, and G. G. Shipley. 1991. Structure and thermotropic properties of hydrated N-stearoyl sphingomyelin bilayer membranes. Biochim. Biophys. Acta. 1062:211219.[Medline]
44. Maulik, P. R., and G. G. Shipley. 1995. X-ray diffraction and calorimetric study N-lignoceryl sphingomyelin membranes. Biophys. J. 69:19091916.
45. Berendsen, H. J. C., J. P. M. Postma, W. F. van Gunsteren, A. DiNola, and J. R. Haak. 1984. Molecular dynamics with coupling to an external bath. J. Chem. Phys. 81:36843690.[CrossRef]
46. Hoover, W. G. 1985. Canonical dynamics: equilibrium phase-space distributions. Phys. Rev. A. 31:16951697.[CrossRef][Medline]
47. Nosé, S. 1984. A molecular dynamics method for simulations in the canonical ensemble. Mol. Phys. 52:255268.[CrossRef]
48. Nosé, S., and M. L. Klein. 1983. Constant pressure molecular dynamics for molecular systems. Mol. Phys. 50:10551076.[CrossRef]
49. Parrinello, M., and A. Rahman. 1981. Polymorphic transitions in single crystals: a new molecular dynamics method. J. Appl. Phys. 52:71827190.[CrossRef]
50. Bar, L. K., Y. Barenholz, and T. E. Thompson. 1997. Effect of sphingomyelin composition on the phase structure of phosphatidylcholine-sphingomyelin bilayers. Biochemistry. 36:25072516.