Hualin Li1, Alemayehu A Gorfe1. 1. Department of Integrative Biology and Pharmacology, University of Texas Medical School at Houston , Houston, Texas 77584, United States.
Abstract
The mechanism of curvature generation in membranes has been studied for decades due to its important role in many cellular functions. However, it is not clear if, or how, aggregates of lipid-anchored proteins might affect the geometry and elastic property of membranes. As an initial step toward addressing this issue, we performed structural, geometrical, and stress field analyses of coarse-grained molecular dynamics trajectories of a domain-forming bilayer in which an aggregate of lipidated proteins was asymmetrically bound. The results suggest a general mechanism whereby asymmetric incorporation of lipid-modified protein aggregates curve multidomain membranes primarily by expanding the surface area of the monolayer in which the lipid anchor is inserted.
The mechanism of curvature generation in membranes has been studied for decades due to its important role in many cellular functions. However, it is not clear if, or how, aggregates of lipid-anchored proteins might affect the geometry and elastic property of membranes. As an initial step toward addressing this issue, we performed structural, geometrical, and stress field analyses of coarse-grained molecular dynamics trajectories of a domain-forming bilayer in which an aggregate of lipidated proteins was asymmetrically bound. The results suggest a general mechanism whereby asymmetric incorporation of lipid-modified protein aggregates curve multidomain membranes primarily by expanding the surface area of the monolayer in which the lipid anchor is inserted.
Cell membranes can adopt different
shapes by changing the composition and lateral organization of their
constituent lipids and proteins,[1] a phenomenon
behind numerous cellular functions including trafficking, motility,
and fusion.[2,3] Defective membrane remodeling is implicated
in various human diseases, including neuromuscular defects.[4] Many experimental and computational studies have
examined membrane remodeling due to changes in lipid acyl chain length
and spontaneous curvature,[5−7] shape and hydrophobic length of
trans-membrane (TM) proteins,[8,9] and scaffolding or surface
area modulation by peripheral proteins.[10,11] Among a variety
of computational approaches, coarse-grained molecular dynamics (CGMD)
simulations are playing an important role in providing detailed insights
into how surface proteins, such as the BAR (Bin–Amphiphysin–Rvs)
domain, modulate membrane structure, topology, and elasticity.[12−15] However, few such studies have focused on oligomeric surface proteins.[16] In particular, lack of a suitable molecular
system and analysis tools have hampered investigation of curvature
generation and/or stabilization by aggregates of lipid-modified proteins,
such as nanoclusters of membrane-associated Ras proteins.[17−19]Recently, we described the aggregation of full-length Ras
on the
surface of a domain-forming lipid bilayer using CGMD.[20] Although the stability and size of the aggregate we obtained
was less than ideal due to various factors, such as force field limitations[20,21] and high protein concentration, it can serve as a useful model for
probing membrane remolding upon aggregation of lipid-modified proteins
on monolayer surfaces. On the technical front, recent work by Ollila
et al.[22] and Cui and colleagues[23,24] allow for a detailed characterization of curved membranes through
(3D) stress field analysis. Of particular note in the context of the
present work is the study of Yoo and Cui on curvature generation and
pressure profile modulation of a dioleoylphosphatidylcholine (DOPC)
bilayer upon asymmetric incorporation of a lysophosphatidylcholine
(LPC) patch.[23]We have analyzed two
previously described[20] simulations of a
DPPC/DLiPC/cholesterol (DPPC = dipalmitoylphosphatidylcholine;
DLiPC = dilinoleylphosphatidylcholine) bilayer in which 32 lipid-anchored
H-Ras proteins were inserted into the lower leaflet. Each simulation
was started from a symmetric bilayer with the proteins separated by
at least 5 nm from one another (Figure 1a).
During the course of each simulation, lipids segregated into DPPC-
and cholesterol-enriched liquid ordered (Lo) and DLiPC-enriched
liquid disordered (Ld) domains, and the protein self-assembled
into a single large aggregate (Figure 1b).
The aggregates from the two simulations differ in geometry and bilayer
interaction,[20] but their effect on the
structural (e.g., position dependent lipid density), geometrical (e.g.,
curvature) and mechanical (lateral pressure profile and surface tension)
properties of the membrane turned out to be very similar. We will
therefore focus on one of the simulations from hereon (data from the
other simulation is included in the Supporting
Information (SI)).
Figure 1
Top view of snapshots from a CGMD simulation
of a domain-forming
bilayer with asymmetrically bound lipid-modified proteins: (a) the
initial setup at 0 μs; (b) the final configurations at 25 μs.
DPPC is shown in red, DLiPC in green, cholesterol in white, and protein
in yellow. Shown in blue is the actual simulation box, with the region
outside being part of the periodic images in each direction. See Figure S1 (SI) for another aggregate from a different
simulation.
Top view of snapshots from a CGMD simulation
of a domain-forming
bilayer with asymmetrically bound lipid-modified proteins: (a) the
initial setup at 0 μs; (b) the final configurations at 25 μs.
DPPC is shown in red, DLiPC in green, cholesterol in white, and protein
in yellow. Shown in blue is the actual simulation box, with the region
outside being part of the periodic images in each direction. See Figure S1 (SI) for another aggregate from a different
simulation.Membrane Remodeling. The average distribution
of lipids (Figure 2a) and the bilayer thickness
(Figure 2b) clearly show coexisting Lo/Ld phases, consistent with numerous previous reports.[25−29] The profile of the bilayer shape in Figure 2c indicates that each leaflet is significantly bent when compared
with the flat shape of a protein-free bilayer of the same lipid composition
(see Figure 3a in ref (26)). This can be more clearly
seen in Figure 3a, where we have plotted the
average 3D shape of each monolayer along with the location of the
aggregate: the surfaces are rugged, and the aggregate is localized
in the most curved regions. In other words, despite the overall positive
curvature of the protein-bound lower leaflet (and negative curvature
of the upper), the highly irregular local curvature roughly mirrors
the complicated architecture of the aggregate (Figure 3a).
Figure 2
Lipid composition and structural properties of the simulated bilayer.
(a) The equilibrium lipid composition in the liquid ordered (Lo) and disordered (Ld) domains. Dotted lines demarcate
the approximate domain boundary defined by the intersection point
for the DLiPC and DPPC distributions. (b) Bilayer thickness calculated
as the average distance between the PO4 beads at the two leaflets.
(c) Average shape of the upper (red) and lower (black) monolayers
and the midplane (blue) described by the average z-coordinate of the
PO4 and the terminal acyl chain beads, respectively. In each panel,
data represents average over the 16–25 μs portion of
the trajectory; error bars were obtained by time block averaging.
Figure 3
Variations in structure and composition across
the bilayer surface
(in the xy-plane). (a) The 3D shape of each monolayer
and the location of the aggregate. The upper and lower leaflet, described
by the average z-position of the PO4 beads, are in
gray and magenta, respectively, whereas the normalized probability
distribution of the protein is shown in a heat map from high (red)
to low (blue) density. (b) Change in thickness measured by the average
distance between the phosphate bead positions within each bin, colored
in red/orange for the Lo domain, blue/cyan for the Ld domain and green/yellow for the boundary between the two
domains. (c,d) Lipid number density distribution at the upper (c)
and lower (d) leaflets in blue (lowest density) through red (highest
density).
Examination of the specific location of the aggregate
with respect
to the Lo and Ld domains could shed light on
whether the curvature is a consequence of scaffolding by the aggregate
or perturbation of lipid packing (or both). To this end, we compared
the average location of the aggregate in the xy-plane
(Figure 3a) with the variation of bilayer thickness
in the same plane (Figure 3b). We found that
the aggregate generally tracks the outline of the domain boundary,
with just a small portion lying in both domains. This suggests that
the aggregate prefers the boundary where lipid packing is less optimal.
Moreover, the aggregate displaces a significance number of lipids
underneath it (compare panel a with panels c and d in Figure 3), with regions of the lower leaflet corresponding
to the average position of the aggregate having significantly fewer
lipids.Lipid composition and structural properties of the simulated bilayer.
(a) The equilibrium lipid composition in the liquid ordered (Lo) and disordered (Ld) domains. Dotted lines demarcate
the approximate domain boundary defined by the intersection point
for the DLiPC and DPPC distributions. (b) Bilayer thickness calculated
as the average distance between the PO4 beads at the two leaflets.
(c) Average shape of the upper (red) and lower (black) monolayers
and the midplane (blue) described by the average z-coordinate of the
PO4 and the terminal acyl chain beads, respectively. In each panel,
data represents average over the 16–25 μs portion of
the trajectory; error bars were obtained by time block averaging.Variations in structure and composition across
the bilayer surface
(in the xy-plane). (a) The 3D shape of each monolayer
and the location of the aggregate. The upper and lower leaflet, described
by the average z-position of the PO4 beads, are in
gray and magenta, respectively, whereas the normalized probability
distribution of the protein is shown in a heat map from high (red)
to low (blue) density. (b) Change in thickness measured by the average
distance between the phosphate bead positions within each bin, colored
in red/orange for the Lo domain, blue/cyan for the Ld domain and green/yellow for the boundary between the two
domains. (c,d) Lipid number density distribution at the upper (c)
and lower (d) leaflets in blue (lowest density) through red (highest
density).No flip-flop of DPPC or DLiPC
lipids was observed. However, approximately
27 cholesterols have transferred from the lower leaflet to the upper
early in the simulation (data not shown). Thus, ∼0.75 cholesterols
were displaced by each protein, which is similar to our previous observation
that the isolated lipid anchor of H-Ras displaces one cholesterol
molecule per peptide.[26] However, this interleaflet
cholesterol transfer was found to only marginally contribute to monolayer
area asymmetry and was not sufficient to explain the observed bilayer
curvature.[26] Similarly, the large deformation
of the bilayer in the current work (Figures 2c and 3a) could not be explained by the small
difference in the number of cholesterol at the two layers. Moreover,
the reduction in lipid density near the aggregate was not accompanied
by a corresponding increase elsewhere in the lower leaflet (Figure 3d), suggesting that the headgroups displaced by
the protein had to be accommodated by area expansion through positive
curvature. Since the lipid density in the upper leaflet was not reduced
to the same degree, the imbalance led to the overall convex and concave
shape of the lower and upper leaflets, respectively (Figure 3a).Stress Field Analyses. To further examine this
issue, we analyzed the lateral stress profile along the membrane normal,
π(z), calculated as a function of the radial
distance r from the surface of the aggregate. The
overall profile of π(z) follows the usual trend:
large values of opposite sign at the core and the headgroup regions,
respectively (hotter and colder colors in Figure 4a). However, the magnitude of π(z)
varies with r, with the stress near the aggregate
(r < ∼5 Å) and at intermediate distances
(∼5 < r < ∼30 Å) being significantly
different from that in the bulk membrane (r >
30
Å). For all values of r, the stress at the two
monolayers is different in sign. Considering the link between pressure
profile and lipid packing,[23,29,30] we conclude that a major source of the curvature is perturbation
of lipid packing.
Figure 4
Lateral pressure profile and surface tension. (a) Lateral
pressure
profile π(z, r) as a function
of the bilayer normal (z) and radial distance from
the aggregate surface (r). (b) Time-averaged surface
tension (γ) for each monolayer and the whole bilayer (error
bars from time block averaging).
Lateral pressure profile and surface tension. (a) Lateral
pressure
profile π(z, r) as a function
of the bilayer normal (z) and radial distance from
the aggregate surface (r). (b) Time-averaged surface
tension (γ) for each monolayer and the whole bilayer (error
bars from time block averaging).We have examined the mechanical properties of the bilayer
based
on the surface tension on a layer between z1 and z2 calculated as γ = −∫dzπ(z). We obtained average γ of −6.1
± 3.5 mN/m and 6.2 ± 2.8 mN/m for the lower and upper leaflets,
respectively. (The sum is close to 0 reflecting the tensionless system
setup.) The upper and lower leaflets remain under positive and negative
tension over the entire range of r, indicating membrane
compression (decreased surface area) and dilation (increased surface
area), respectively. This is consistent with the number density distribution
(Figure 3c,d) and stress profile (Figure 4a). γ(r) (Figure 4b) exhibits significant fluctuation for r ≤ 30 Å and especially near the protein surface.
This highlights the complicated effect of the irregularly shaped aggregate
on membrane elastic properties. It is therefore difficult to find
a material property that uniquely describes the whole bilayer. Nonetheless,
we attempted to estimate the average spontaneous curvature, c0, based on the following considerations: As
described in ref (22) the product of c0 and κ (i.e.,
bending modulus) can be calculated from c0κ = ∫ dzπ(z)(z – z0), where z0 is the pivotal
surface roughly defined here by the mean z-position
of the phosphate beads. We obtained c0κ ≈ 121.2 ± 43.5 × 10–13 J/m for the whole bilayer (including the protein region). Further,
using (i) the available experimental estimate for κ of a DPPC
bilayer (0.50 × 10–19 J[31]), (ii) the observation that κ of a stearoyl-oleoyl
phosphatidylcholine (SOPC) bilayer increases by 20% per mole fraction
of cholesterol[32] (our bilayer has 20% cholesterol),
and (iii) neglecting contribution from DLiPC, we obtained κ
≈ 0.60 × 10–19 J. This leads to c0 ≈ 0.20 nm–1, which
qualitatively agrees with the overall positive curvature of the bilayer
and suggests a significant effect of the aggregate on the membrane
elasticity.The various bilayer structural and mechanical properties
derived
from our CGMD trajectory are consistent in suggesting that asymmetric
incorporation and aggregation of lipidated Ras proteins causes significant
morphologic changes in the bilayer. As mentioned earlier and in the
following paragraph, these results are reproducible in another simulation
with different protein conformation (see SI), and even in the absence of the catalytic domain (see ref (25)). However, while the observed
overall curvature is likely robust and can be faithfully captured
by CG models, its magnitude may depend on detailed interactions between
the bilayer lipids and the Ras lipid anchor, which is only approximately
represented at the level of CGMD. Therefore, it would be interesting
to see how detailed interactions and dynamics might affect the magnitude
of membrane curvature using atomically detailed models, which is the
subject of our future investigation.In summary, we have shown
that asymmetric binding of a lipid-anchored
oligomer with irregular geometry causes significant membrane deformation
(Figures 2c and 3a)
by altering the lateral pressure and tension in a distance dependent
manner (Figure 4). Variations in lipid density
between leaflets and across the surface of each monolayer (Figure 3 c,d) corroborate the results from pressure field
analysis. Our observations are similar to those of Cui and colleagues
for a DOPC bilayer containing a patch of LPC on one leaflet.[23] Moreover, as mentioned earlier, we obtained
very similar results for another oligomer that differs in geometry
and protein–protein and protein–lipid interactions (see SI). Finally, the current results are very similar
to our previous findings using the isolated lipid anchor of H-Ras.[25] Combined, these observations suggest that it
is the cumulative effect on monolayer surface area asymmetry by the
lipid anchors that directly insert into a monolayer, rather than the
shape of the aggregate per se, that plays a major
role in causing membrane deformation. In this context, it is worth
noting that even oligomers of the scaffolding BAR domain generate
membrane curvature not only due to shape effect, but also by inserting
an amphipatic helix that creates monolayer area asymmetry.[1,10,14,33] We thus propose that aggregation of asymmetrically incorporated
lipid-modified proteins on the surface of multidomain membranes generates
curvature primarily through monolayer area expansion due to the insertion
lipid anchors.
Computational Methods
As mentioned
earlier, we have analyzed two CGMD trajectories that
have been described before.[20] The simulation
box was 44 nm × 46 nm in each case, but the z-dimension was 10 and 14 nm long, respectively, because the two simulations
differed in the conformation of the H-ras proteins. This difference
primarily involves the orientation of the catalytic domain with respect
to the membrane plane. Although the final protein aggregates were
generally similar, they differed in shape (compare Figures 1b and S1b) and internal
organization.[20] In the current work, we
have analyzed the shape, thickness, number density, pressure profile,
and other equilibrium properties of the simulated bilayers using the
well-equilibrated 16–25 μs portion of each trajectory.
Most of the analysis involved binning the system into slabs of width
0.5 nm along the direction perpendicular to the domain boundary (Figure 2). The shape of the bilayer was defined by the averaged z-position of the phosphate beads and the midplane by that
of the terminal acyl chain beads. In order to describe the deformation
of the bilayer in the xy-plane, we divided each monolayer
into 0.5 nm × 0.5 nm grids and obtained the average z-coordinate
of the phosphate beads within each grid (Figure 3a). 3D pressure field analysis was carried out using the algorithm
developed by Ollila et al. and implemented in GROMACS.[22] Since the shape of the surface-bound aggregate
in the present work is highly irregular, we modified Ollila’s
scripts to calculate the pressure as a function of the radial distance r from the surface of the aggregate, as opposed to the distance
from the center of mass of the trans-membrane MscL protein used in
the example scripts. In addition, we assumed a cylindrical shape that
spans the bilayer even though our aggregate is bound to only the lower
leaflet.
Authors: O H Samuli Ollila; H Jelger Risselada; Martti Louhivuori; Erik Lindahl; Ilpo Vattulainen; Siewert J Marrink Journal: Phys Rev Lett Date: 2009-02-19 Impact factor: 9.161
Authors: Lars V Schäfer; Djurre H de Jong; Andrea Holt; Andrzej J Rzepiela; Alex H de Vries; Bert Poolman; J Antoinette Killian; Siewert J Marrink Journal: Proc Natl Acad Sci U S A Date: 2011-01-04 Impact factor: 11.205
Authors: Siewert J Marrink; Valentina Corradi; Paulo C T Souza; Helgi I Ingólfsson; D Peter Tieleman; Mark S P Sansom Journal: Chem Rev Date: 2019-01-09 Impact factor: 72.087