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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2016 Dec 20;114(1):E19–E27. doi: 10.1073/pnas.1613732114

Chiral twist drives raft formation and organization in membranes composed of rod-like particles

Louis Kang a,1, Tom C Lubensky a
PMCID: PMC5224397  PMID: 27999184

Significance

Chiral objects are different from their mirror images and have properties that are physically forbidden for achiral objects. We show theoretically how one of these properties, the preference for chiral rods to adopt twisted configurations, generates an array of rafts in membranes formed by rod-like particles. Our theory can predict the composition, size, and interactions of these rafts based on measurable attributes of the rods, and its agreement with experimental data from a virus-based system supports its validity. Moreover, it proposes a mechanism for the stabilization of rafts in cell membranes, which are composed of chiral molecules. These lipid rafts are hypothesized to have important biological functions, and their manipulation may rely on a command of molecular chirality.

Keywords: membrane rafts, liquid crystals, chirality, self-assembly, colloids

Abstract

Lipid rafts are hypothesized to facilitate protein interaction, tension regulation, and trafficking in biological membranes, but the mechanisms responsible for their formation and maintenance are not clear. Insights into many other condensed matter phenomena have come from colloidal systems, whose micron-scale particles mimic basic properties of atoms and molecules but permit dynamic visualization with single-particle resolution. Recently, experiments showed that bidisperse mixtures of filamentous viruses can self-assemble into colloidal monolayers with thermodynamically stable rafts exhibiting chiral structure and repulsive interactions. We quantitatively explain these observations by modeling the membrane particles as chiral liquid crystals. Chiral twist promotes the formation of finite-sized rafts and mediates a repulsion that distributes them evenly throughout the membrane. Although this system is composed of filamentous viruses whose aggregation is entropically driven by dextran depletants instead of phospholipids and cholesterol with prominent electrostatic interactions, colloidal and biological membranes share many of the same physical symmetries. Chiral twist can contribute to the behavior of both systems and may account for certain stereospecific effects observed in molecular membranes.


Filamentous viruses have proved to be a fruitful colloidal system (119). They serve as monodisperse, rigid, and chiral rods that are 1 μm in length and interact effectively through hard-core repulsion (2, 7). When suspended in an aqueous solution at increasing concentrations, they transition from a disordered isotropic phase to a cholesteric (chiral nematic) phase characterized by alignment along a director field that twists with a preferred handedness and wavelength (1, 6). The addition of a nonadsorbing polymer such as dextran induces lateral virus–virus attraction via the depletion interaction (10, 12, 20, 21). The viruses self-assemble into monolayers that exhibit fluid-like dynamics internally (10) and sediment to the bottom of glass containers, which are coated with a polyacrylamide brush to suppress depletion-induced virus-wall attractions (22). The rich physics and phenomenology of membranes formed from single-virus species have been thoroughly studied (817, 19). However, two-species membranes demonstrate a novel set of behaviors that are not adequately understood (18). We review these behaviors now before describing a theory that can explain them.

fd-Y21M and M13KO7, which we shorten to fd and M13 for convenience, are two species of filamentous virus that have slightly different lengths and form cholesteric phases of opposite handednesses (Table 1 and Fig. 1A). Membranes composed of both fd and M13 viruses are circular with interior particles aligned largely perpendicularly to the membrane plane and edge particles tilted azimuthally, as in single-species membranes (13). At low dextran concentrations, the two species are fully mixed, and at high dextran concentrations, the two are fully phase separated with M13 viruses surrounding a single fd domain (Fig. 1B and D). At intermediate concentrations, membranes exhibit partial phase separation with several smaller circular rafts of fd viruses distributed within a mixed background of both species (Fig. 1C).

Table 1.

Membrane parameters and their values

Parameter Variable Experimental estimate Source Model value
fd-Y21M half-length l𝑓𝑑 430 nm (18)* Same
M13KO7 half-length lM13 560 nm (18)* Same
Virus half-length difference d 130 nm lM13l𝑓𝑑 Same
Virus diameter 7 nm (18)
Virus nearest-neighbor distance ξ 12 nm (19) Same
Virus 2D concentration cv 9,000 μm2 1/π(ξ/2)2 8,500 μm2
fd-Y21M Frank constant K𝑓𝑑 2 pN (1), 4 pN
M13KO7 Frank constant KM13 4 pN (6) 10 pN
fd-Y21M twist wavenumber q𝑓𝑑 0.1 μm1 (7) 0.11 μm1
M13KO7 twist wavenumber qM13 − 0.5 μm1 (6) − 0.55 μm1
fd-Y21M birefringence Δn𝑓𝑑 0.008 (8),§ 0.011
M13KO7 birefringence ΔnM13 0.008 (8),§ 0.011
Dextran concentration c 48,000 μm3 (18) Same
Dextran radius a 25 nm (2325) Same
Temperature T 22 °C (18) Same
*

Half the end-to-end length estimated from contour lengths and persistence lengths.

Measured for fd-wt virus.

Imprecise estimates extrapolated to membrane virus concentration 200 mg  mL− 1 (corresponding to cv 9,000 μm2) based on concentration-dependent behavior of fd-wt suspensions (1).

§

Assuming membrane nematic order parameter of 1 and virus concentration 200 mgmL− 1 (corresponding to cv9,000μm2).

Hydrodynamic radii for dilute solutions of 500 kDa dextran, whereas our experiments are in the semidilute regime.

Fig. 1.

Fig. 1.

Overview of two-species colloidal membrane experiments. (A) Virus particles and dextran molecules act as rod-shaped colloids and spherical depletants, respectively. fd viruses are shorter and prefer right-handed twist. M13 viruses are longer and prefer left-handed twist. (B–D) Differential interference contrast image (Top Left), fluorescence image with fd labeled (Top Right), and schematic (Bottom) of colloidal membranes. (B) At a low dextran concentration of 41,000 μm3, the two virus species completely mix. (C) At an intermediate dextran concentration of 46,000 μm3, several smaller rafts of fd virus form in a partially phase-separated background. (D) At a high dextran concentration of 62,000 μm3, the two virus species completely phase separate. (E) Rafts exchange rods with the background membrane to attain a thermodynamically preferred size. Fluorescence images with fd labeled are taken 6.7 h apart. Green and purple circles track two rafts that start, respectively, smaller and larger than the preferred raft size. (F) Viruses adopt a twisted chiral structure. Shown is an LC-PolScope birefringence map with pixel brightness representing retardance, which indicates virus tilt toward the membrane plane. (G) Rafts repel one another. Fluorescence images with fd labeled are taken 5 s apart. Two optical plows consisting of multiple light beams (red circles) bring two rafts together and are then switched off. (All scale bars, 5 μm.) Experimental data and methods are reported in ref. 18. Schematics are not drawn to scale. Microscopy images were reprinted by permission from Macmillan Publishers Ltd. (18).

Particle tracking experiments show that fd viruses diffuse in and out of these rafts (18), allowing for equilibration to a thermodynamically preferred raft size over 24 h (Fig. 1E). Polarized light microscopy suggests that the raft system has a chiral structure, with particles tilting around the interfaces between rafts and background membrane and around the membrane edge (Fig. 1F). Finally, the rafts are distributed homogeneously throughout the membrane and never coalesce, indicating a long-ranged repulsion between rafts (Fig. 1G). This interaction can be measured quantitatively by bringing two rafts close together with optical traps and tracking their trajectories upon release of the traps (18).

The simplicity of this colloidal membrane system allows us to study it theoretically with a model built from established physical principles and experimentally meaningful parameters. Its components have well-characterized interactions: Dextran molecules act as depletants that interact with viruses through hard-body interactions (10, 12, 20, 21, 26), and the hard-body interactions between viruses can be coarse grained as the Frank free energy for chiral liquid crystals (1, 6). We previously used such a model to investigate single-species membranes and succeeded in reproducing a variety of structural, dynamical, and phase phenomena with a single set of realistic parameter values (19). Extending the model to the two-species system will demonstrate how the intriguing behaviors depicted in Fig. 1 emerge from Frank free energy, depletant entropy, and mixing entropy.

The fundamental principles we encounter on the colloidal scale may apply to similar but less tractable molecular systems whose particles and interactions share the same physical symmetries. Colloidal systems have permitted the investigation of many quintessential condensed matter phenomena with single-particle resolution and exquisite control. For example, spherical colloids exhibit crystal nucleation (27, 28) and glassy dynamics (29, 30); the addition of an isotropic attraction with depletants allows them to demonstrate liquid–gas phase separation (31), thermal capillary waves (32), and wetting (33). And in addition to the aforementioned work in which filamentous viruses form nematic and cholesteric liquid crystal phases, plate-like and rod-like colloids have shed insight on columnar and smectic liquid crystal phases, respectively (34, 35). Phospholipid fluid membranes are another important soft-matter system; however, due to our inability to directly visualize real-time dynamics of lipid bilayers at the nanometer scale, many processes remain poorly understood. Following the analogy between colloids and molecular substances, our theoretical investigation of two-component colloidal membranes may provide new, universal understanding about membrane rafts, which have been observed in experimental phospholipid membranes (36, 37) but remain controversial in the case of biological membranes (38).

As shown in previous work (39, 40) based on phenomenological models, the difference in chirality between two coexisting phases, which favors different twist rates of viruses relative to membrane normals, is the primary driver of raft formation in viral membranes. When two achiral phases coexist, the interface separating them has a positive line tension (or surface tension in three dimensions) that favors the smallest possible interfacial length (or area). Chirality difference introduces an effective negative contribution to the line tension, which for large enough difference becomes negative and favors as much interfacial length as possible. Finite-size rafts are a result of the competition between negative line tension and either repulsive interaction between segments of interface or interfacial curvature energy. The repulsive energy between rafts as they approach each other arises from compression of the twist in the membranes’ background phase. The formation of rafts and their mutual interaction follow these fundamental physics in our calculations that are based on the particular depletion physics of viral rafts.

The next few sections describe, respectively, the process of phase separation that generates raft and background phases, the organization of the raft phase into domains with a preferred size and chiral structure, and the repulsion between rafts mediated by the chiral structure of the background phase. Each section includes theoretical development, results, and comparison with experimental data. In the last section, we discuss the assumptions made by our theory, its contribution to the literature on heterogeneous membranes, and implications for phospholipid membranes.

Phase Separation Between Virus Species

We start by investigating the separation of membrane particles into two phases, one that we call the “background” phase containing mostly M13 viruses completely surrounding the other that we call the “raft” phase containing fd viruses, in accordance with experiment (Fig. 1). The structure of the phases, including the number and size of rafts present, does not yet concern us. We assume a large circular membrane of radius Rt and henceforth ignore effects of the outer boundary. The degree of phase separation is parameterized by α2, the area fraction of the raft phase (Fig. 2A). It ranges between α2=0, which corresponds to complete mixing, and α2=αt2, which corresponds to complete phase separation. αt2 is determined experimentally by the fraction of fd virus provided in the initial suspension. For intermediate values of α2, some fd particles leave the raft and enter the background, producing a partially mixed background phase containing both viruses.

Fig. 2.

Fig. 2.

Phase separation into a raft phase containing only fd virus (orange) and a background phase containing both fd and M13 (purple) viruses. (A) For a completely phase-separated membrane (Left), the area fraction of the raft phase is α2=αt2; equivalently, if the raft phase formed a single circular domain as depicted, it would have radius αtRt. As fd viruses enter into the M13-rich phase (Center), the area fraction of the raft phase decreases to α2<αt2. For a completely mixed membrane (Right), α2=0. (B) Competition between the entropy of mixing and depletant entropy determines α. At low depletant concentration (Top), the mixed state is entropically preferred. Phase separation reduces the excluded volume and is preferred at high depletant concentration (Bottom). Green circles represent depletants and blue regions represent the excluded volume. (C) Introducing a shorter virus into a sea of longer ones (Top) increases the excluded volume less than introducing a longer virus into a sea of shorter ones (Bottom). (D) α for various αt and depletant concentrations c (Eq. 5). Values for other parameters are provided in Table 1. Schematics are not drawn to scale.

Competition between two factors determines the degree of phase separation. Thermal forces encourage the depletants to explore as much physical space as possible. To do so, they must minimize the volume excluded to their centers of mass by the membrane, which can be accomplished by separating viruses of different lengths into different phases. A shorter fd particle produces more excluded volume when surrounded by longer M13 particles (Fig. 2B). For depletant particles small compared with the dimensions of the membrane, the excluded volume is approximately V+aA, where V is the volume of the membrane, A is the surface area of the membrane, and a is the depletant radius (41). Their free energy is calculated via the ideal gas partition function VaN/N!Λ3N applied to N depletant molecules, where Λ is their thermal de Broglie wavelength. The volume available to the depletants can be written as Va=VtVaA, where VtV is the total volume of the virus-and-depletant suspension (42). Ignoring constant terms, the depletant free energy is generically

Fdep=NTlogVtVaAVtcT(V+aA), [1]

where c is the depletant concentration and T is the temperature. We use units in which the Boltzmann constant is unity.

However, thermal forces also encourage binary fluids to adopt disordered phases in which the two species are mixed. This tendency is described quantitatively by the entropy of mixing (43). As depicted in Fig. 2A, the mixed background phase of total area (1α2)πRt2 is formed from an area (αt2α2)πRt2 of fd viruses and an area of (1αt2)πRt2 of M13 viruses, yielding respective area fractions

ϕ𝑓𝑑=αt2α21α2andϕM13=1αt21α2=1ϕ𝑓𝑑. [2]

The entropy of mixing per particle of the background phase is

smix=ϕ𝑓𝑑logϕ𝑓𝑑+ϕM13logϕM13. [3]

We consider mixing only in the background phase because introducing the longer M13 viruses into the raft phase is disfavored by the depletants. Their surface protrusions would be surrounded by extra excluded volume of order da2 per M13 particle, unlike the smaller amount of excluded volume of order d(ξ/2)2 per fd particle required to introduce the shorter fd viruses into the background phase (Fig. 2C). dlM13l𝑓𝑑 is the virus half-length difference, a is the depletant radius, and ξ is the nearest-neighbor virus separation (Table 1). We thus ignore mixing in the raft phase due to these asymmetric effects of surface convexity and concavity on the depletion free energy (the origins of these effects are explored further in Fig. S1 and in Landau Coefficients for Phase Separation).

Fig. S1.

Fig. S1.

An Ising-like model for depletion-induced phase separation in the limit of small virus half-length difference d. (A) A membrane composed of longer L viruses (Left) contains more excluded volume per particle (blue) than a membrane composed of shorter S viruses (Center), which leads to a linear term in the Ising-like Hamiltonian Eq. S21. A virus pair consisting of one L and one S particle (Right) occupies more excluded volume than the average of a pair of two L particles and a pair of two S particles. This extra excluded volume (green) has approximate cross-sectional area ad2/2ξ and leads to quadratic terms in Eq. S21. (B) Assuming a hexagonal lattice of viruses, a nearest-neighbor triplet consisting of one L virus and two S viruses (red dotted triangle, for example) produces slightly more excluded volume than a triplet consisting of two L viruses and one S virus (blue dotted triangle, for example). These small additions (dark red regions) and reductions (dark blue regions) in excluded volume contribute cubic terms in Eq. S21. Schematics are not drawn to scale.

Combining the mixing entropy Eq. 3 and the depletion free energy Eq. 1, which respectively disfavor and favor phase separation, gives the free energy

FsepπRt2T=cv[(1αt2)log1αt21α2+(αt2α2)logαt2α21α2]+2cd(αt2α2), [4]

where c is the 3D depletant concentration and cv is the 2D virus concentration in the membrane. Minimizing Fsep with respect to α produces the result

α={αt2e2cd/cv1e2cd/cvcd/cvlog1/αt0cd/cvlog1/αt, [5]

where c is the 3D depletant concentration, cv is the 2D virus concentration in the membrane, and d is the half-length difference between the two species. In Fig. 2D, α(c) is plotted for various αts, using values in Table 1. For each αt, there is complete mixing (α=0) below a critical depletant concentration (cv/d)log1/αt. Above this critical c, the system partially phase separates and approaches complete phase separation for c. This behavior qualitatively agrees with experimental results in Fig. 1 B–D over the experimental range of depletant concentrations c.

Landau Coefficients for Phase Separation

In the main text, we argued that mixing preferentially occurs in the background phase and can be ignored in the raft phase because a long rod among a sea of short ones contributes much more extra excluded volume than a short rod among a sea of long ones (Fig. 2C of the main text). However, if we imagine decreasing the difference in virus half-lengths d to a very small value, excluded volume differences should be severely reduced and mixing should occur in both phases. Here, we explore the onset of phase separation and asymmetric mixing properties in the limit dξ/2a, where ξ is the virus–virus separation and a is the depletant radius. Note that the first inequality is not compatible with the experimental values d = 130 nm and ξ = 12 nm used in the main text.

The membrane can be described by an Ising-like model in this limit. We assume a hexagonal lattice with lattice constant ξ whose sites are occupied with either a long L virus or a short S virus. L viruses naturally contribute more excluded volume—3ξ2d per particle—than do the S viruses. However, because of the effect of surface convexity on excluded volume, an L particle will contribute an even greater amount of excluded volume when it is adjacent to an S particle (Fig. S1A)—approximately ad2/3 per LS pair. And because this extra excluded volume lies closer to the S virus in each heterogeneous pair, a symmetry between L and S viruses is broken, and three-particle couplings are permitted. Indeed, as depicted in Fig. S1B, there are even smaller amounts of additional and reduced excluded volume for LSS and LLS nearest-neighbor triplets, respectively—approximately ±πa2d3/9ξ2 per triplet. Using Eq. 1 of the main text, we can write these excluded volume effects in terms of a depletion free energy. We use ϕ𝐢L{0,1} to indicate the absence and presence, respectively, of an L particle at lattice site 𝐢; and ϕ𝐢S=1ϕ𝐢L acts similarly as an indicator for S viruses. The effective Ising-like Hamiltonian is

HTc=3ξ2d𝐢ϕ𝐢L+13ad2𝐢𝐣(ϕ𝐢Lϕ𝐣S+ϕ𝐢Sϕ𝐣L)+π9a2d3ξ2𝐢𝐣𝐤[(ϕ𝐢Lϕ𝐣Sϕ𝐤S+ϕ𝐢Sϕ𝐣Lϕ𝐤S+ϕ𝐢Sϕ𝐣Sϕ𝐤L)(ϕ𝐢Lϕ𝐣Lϕ𝐤S+ϕ𝐢Lϕ𝐣Sϕ𝐤L+ϕ𝐢Sϕ𝐣Lϕ𝐤L)], [S21]

where 𝐢𝐣 indicates nearest-neighbor pairs of lattice sites and 𝐢𝐣𝐤 indicates nearest-neighbor triplets of lattice sites. c is depletant concentration and T is temperature. We convert the ϕs to the symmetric order parameter ψ𝐢=±1, where positive (negative) corresponds to an L (S) virus at site 𝐢. Thus,

ϕ𝐢L=1+ψ𝐢2andϕ𝐢S=1ψ𝐢2. [S22]

This converts Eq. S21 to

HTc=32ξ2d𝐢ψ𝐢123ad2𝐢𝐣ψ𝐢ψ𝐣+π12a2d3ξ2𝐢𝐣𝐤ψ𝐢ψ𝐣ψ𝐤, [S23]

to leading orders in d and ignoring constant terms.

The first term acts as a chemical potential that would favor ψ𝐢=1; for our system, we assume that the membrane, once formed, maintains fixed numbers of L and S viruses. Thus, 𝐢ψ𝐢 is conserved and we ignore the linear term. We now take mean-field and continuum limits. For the quadratic term, we allow slow variations in the mean-field order parameter ψ(x,y)ψ𝐢, which reflects the local concentration difference between the two virus species, with

𝐢𝐣ψ𝐢ψ𝐣cvdxdyψ(x,y)[ψ(xξ,y)+ψ(x+ξ2,y+3ξ2)+ψ(x+ξ2,y3ξ2)]=cvdxdy[3ψ(x,y)2+34ξ2ψ(x,y)(x2+y2)ψ(x,y)]=cvd2𝐱[3ψ234ξ2(ψ)2], [S24]

where we have integrated by parts and ignored boundary terms. cv=2/3ξ2 is the 2D virus concentration. For the cubic term, we note that there are twice as many nearest-neighbor triplets as lattice points to obtain

𝐢𝐣𝐤ψ𝐢ψ𝐣ψ𝐤2cvd2𝐱ψ3. [S25]

The mean-field Hamiltonian is thus (without the linear term)

HcvT=cad2d2𝐱[32ψ2+π6adξ2ψ3+38ξ2(ψ)2]. [S26]

Meanwhile, the entropy of mixing follows in analogy to Eq. 3 of the main text with the substitutions in Eq. S22:

Smixcv=d2𝐱[1ψ2log1ψ2+1+ψ2log1+ψ2]. [S27]

Thus, the free energy to leading orders in ψ is

FLandaucvT=HTSmixcvT=d2𝐱[(1232cad2)ψ2+π6ca2d3ξ2ψ3+112ψ4+38cad2ξ2(ψ)2]. [S28]

This expression provides values for the coefficients of a phenomenological Landau expansion in ψ, such as that used in ref. 40 of the main text. It illustrates the equivalence between our system and liquid–gas phase separation, with a critical point at c=1/3ad2. Around this point, cad21, so the characteristic domain wall width between regions of different ψs is the interparticle distance ξ. When c exceeds this critical value, the free energy Eq. S28 has both positive and negative local minima

ψ±=±13cad213π12ca2d3ξ2 [S29]

to leading orders in d. Note that the cubic term, which arises from asymmetric effects of depletion on long vs. short particles, makes ψ+ less positive and ψ more negative, indicating that mixing is enhanced in the L-rich phase and hindered in the S-rich phase. As d increases, these effects grow until the S-rich phase can be considered completely pure and all mixing occurs in the L-rich phase, a regime demonstrated by the raft and background phases of fd and M13 viruses in the main text.

Raft Organization and Structure

Assuming we are in the regime cd/cv>log1/αt in which rafts exist, we now analyze their structure. Eq. 5 determines the total amount of fd virus sequestered into the raft phase by setting the value of α, but does this phase form a single large raft or several smaller rafts (Fig. 3A)? And how are the virus particles aligned? We will see that these questions are related via the natural tendency of chiral rods to adopt twisted configurations. To answer them, we need to derive the structural free energy of the membrane.

Fig. 3.

Fig. 3.

Raft size and chiral structure. (A) Schematics of two membranes with the same degree of phase separation and thus the same raft area fraction α2 containing either several smaller rafts (Left) or one larger raft (Right). (B) A single circular domain with a single circular raft is repeated to approximately tile the membrane. (C) Structure of the domain along the light blue plane in B. Along the radial coordinate r, the fd viruses (orange) twist from θ(0)=0 to θ(αR)=θ0 at the raft–background interface with one handedness, and the background viruses, containing mostly M13 virus (purple), twist from θ(αR)=θ0 to θ(R)=0 at the domain edge with the other handedness. (D and E) The effect of depletants (green circles) on raft structure and organization. (D) Between two membranes of equal volume, the one with more interface between raft and background (Right) has greater excluded volume (blue), leading to an interfacial line tension proportional to d. (E) Between two membranes of equal volume, the one whose viruses are tilted at angle θ (Right) has greater excluded volume, leading to a free energy term proportional to θ2 to leading order. (F) Tilt angle θ(r) (Eq. 11) for domains whose common twist penetration depth λλ1λ2 is much less or much greater than their radius R. (G) Maximum twist angle θ0 (Eq. 12) as a function of λ and the twist wavenumber difference Δqq1q2. Darker cyan indicates larger θ0. (H) Raft radius αR as a function of λ and Δq, calculated numerically. Darker red indicates smaller αR. We assume the large membrane limit Rt. The maximum raft radius αRt corresponds to a membrane having only a single raft, a regime separated by a gray dashed line from membranes with multiple smaller rafts (Eq. 15). This line is reproduced in G. For G and H, α=0.3 and values for other parameters are provided in Table 1. Schematics are not drawn to scale.

We take the membrane of radius Rt to be approximately tiled by circularly symmetric domains of radius R (Fig. 3B), as in the muffin-tin approximation of solid-state physics (44). There are Rt2/R2 domains and the total membrane free energy is

Fstruct=Rt2R2Fdomain, [6]

where Fdomain is the free energy of a single domain, which contains one raft of radius αR. The fd particles point vertically at the center of the raft and twist azimuthally with one handedness to their interface with the background, where they attain twist angle θ0. The background particles, which are mostly M13 with a smaller amount of fd, twist with opposite handedness from θ0 at the interface to 0 at the domain edge, where the next domain would begin (Fig. 3C). Once the membrane separates into its thermodynamically preferred raft and background phases, we assume zero net particle current between the phases and between each phase and the aqueous environment. We also assume that the 2D particle concentration cv in the membrane is constant. Thus, the volume of each phase is conserved, so any effects of depletion must act only on the surface area of the membrane (Eq. 1). For mathematical tractability, we assume the particles do not twist very much, so their tilt angle satisfies θ1, and the two virus species have similar half-lengths l𝑓𝑑 and lM13, so their half-length difference satisfies dl𝑓𝑑lM13. As calculated in ref. 19, virus position fluctuations perpendicular to the membrane are strongly suppressed in the θ1 limit, so the thicknesses of the raft and background phases are simply 2l𝑓𝑑cosθ and 2lM13cosθ, respectively.

Fdomain consists of three components. First, interfaces between raft and background have a half-height difference of approximately d. These vertical offsets, which appear as “corners” in Fig. 3D, contribute additional membrane surface area and, through the depletion free energy Eq. 1, produce an effective interfacial line tension proportional to d. Second, virus tilt away from the membrane normal also increases the membrane surface area and, also through depletion, produces an effective alignment energy proportional to θ2 (Fig. 3E). Third, the virus particles behave as chiral nematic liquid crystals (1, 6). That is, each species prefers to be aligned in a twisted configuration with wavenumber q, where the sign of q indicates the chirality of twist (positive corresponds to right handed) and 2π/|q| is the wavelength. The energetic cost of deviations from this preferred configuration is given by the Frank free energy (45):

FFrank=Kd2𝐱lcosθ[(𝐧)2+(×𝐧)22q𝐧×𝐧]. [7]

𝐧 is the nematic director, K is the 3D Frank elastic constant in the one-constant approximation, q is the preferred twist wavenumber associated with intrinsic chirality of the constituent particles, l is the particle half length, and θ is the particle tilt angle. For raft domains depicted in Fig. 3 B and C, the nematic director is circularly symmetric and tilts away from the membrane normal in the negative azimuthal direction:

𝐧(r)=sinθ(r)ϕ^+cosθ(r)𝒛^. [8]

The complete derivation of the Fdomain is given in Derivation of the Single-Domain Free Energy, and it leads to the structural free energy

Fstruct4πcaT=Rt2R2{dαR[λ12q1λ22q2]αRθ0+12[λ12+λ22]θ02+0αRdr[12rθ2+λ122(r(rθ)2+θ2r)]+αRRdr[12rθ2+λ222(r(rθ)2+θ2r)]}. [9]

The subscripts 1 and 2 refer to raft and background phases, respectively. An important length scale λjKjlj/caT arises from comparing the Frank twist and depletion contributions to the free energy, where j{1,2}. The latter penalizes nonzero θ(r) and the former penalizes gradients in θ(r), so λj acts like a twist penetration lengthscale. Because only fd viruses compose rafts, q1=q𝑓𝑑 and λ1=K𝑓𝑑l𝑓𝑑/caT. The corresponding expressions for the background must account for a mixture of virus species. Experiments demonstrate that cholesteric mixtures of fd-wt and fd viruses have intermediate twist wavenumbers that linearly interpolate between their pure values as a function of relative concentration (7). We assume that the same behavior applies here to Frank constants and twist wavenumbers for fd and M13 viruses:

q2=1αt21α2qM13+αt2α21α2q𝑓𝑑andλ2=K2lM13caT,whereK2=1αt21α2KM13+αt2α21α2K𝑓𝑑. [10]

Experimental estimates for K and virus half-length l are of the same order of magnitude for the two species (Table 1). For better mathematical insight and clearer presentation of results, we sometimes imagine that they are equal, so the two phases share the same λλ1λ2. Another important parameter is Δqq1q2, the difference between the chiral wavenumbers of the raft and background.

Minimization of Fstruct over the tilt angle θ(r) and the domain radius R yields the thermodynamically preferred membrane structure. We first minimize over θ(r) with the boundary conditions θ(0)=0, θ(αR)=θ0, and θ(R)=0,

θ(r)={θ0I1(s1)I1(αS1)0rαRθ0K1(s2)/K1(S2)I1(s2)/I1(S2)K1(αS2)/K1(S2)I1(αS2)/I1(S2)αRrR, [11]

where Iν and Kν are modified Bessel functions of the first and second kind, respectively, of order ν (the latter should not be confused for Frank constants). Distances are rescaled by the twist penetration depths as sj=r/λj and Sj=R/λj, for j{1,2}. Solving the Euler–Lagrange equation is described in Calculation of the Virus Tilt Angle. Eq. 11 is plotted in Fig. 3F. If the common twist penetration depth λ is much less than R, then the twist is exponentially localized to the interface between raft and background, but if it is much greater than R, then the twist rθ extends uniformly throughout the membrane.

We then substitute Eq. 11 into Eq. 9, perform the integrals over r, and minimize over θ0, the tilt angle at the interface:

θ0=λ12q1λ22q2λ1I0(αS1)I1(αS1)+λ2K0(αS2)/K1(S2)+I0(αS2)/I1(S2)K1(αS2)/K1(S2)I1(αS2)/I1(S2). [12]

This equation is plotted in Fig. 3G. The magnitude of θ0 increases with λ and Δq, and its sign is determined by the sign of Δq.

Substituting Eq. 12 back into Fstruct yields

Fstruct4πRt2caT=αR{d12(λ12q1λ22q2)2λ1I0(αS1)I1(αS1)+λ2K0(αS2)/K1(S2)+I0(αS2)/I1(S2)K1(αS2)/K1(S2)I1(αS2)/I1(S2)}, [13]

which depends on the free parameter R only through S1 and S2. By minimizing over R, we numerically calculate the preferred raft radius αR, remembering that α was determined in the previous section. Fig. 3H shows that at low λ and Δq, R adopts its maximum value, Rt, so the membrane contains one large raft. As Δq increases past a critical value, R prefers a finite value and the raft phase separates into several smaller rafts of radius αR. For constant Δq, increasing λ—or equivalently decreasing c—leads to more numerous, smaller rafts, which qualitatively agrees with experimental observations in Fig. 1 C and D. Note that the chirality inversion q1q1 and q2q2 yields the mirror-image configuration θ(r)θ(r) via Eqs. 11 and 12 with the same free energy Eq. 13.

A large chiral twist wavenumber difference Δq indicates the proclivity of fd and M13 viruses to twist back and forth with opposite handednesses; however, depletants favor particle alignment perpendicular to the membrane. A large number of small rafts can satisfy both tendencies, because the particles can twist back and forth over short distances while largely maintaining perpendicular alignment. In opposition is the positive interfacial line tension also generated by depletion, which prefers a small number of large rafts to reduce the total interfacial length between raft and background phases. The competition between these factors sets the raft size, which we can see explicitly by expanding the free energy to leading orders in R1, corresponding to the phase transition between single- and multiple-raft membranes. With the simplification λλ1λ2, Eq. 13 becomes

Fstruct4πRt2caTαR{d14λ3Δq2+332λ5Δq2α2R2+14λ3Δq2e2(1α)R/λ}. [14]

Thus, virus chirality appends a correction term to the bare interfacial tension to produce the effective interfacial line tension 2caT(dλ3Δq2/4). When this effective tension becomes negative, the system prefers multiple smaller rafts instead of a single large raft to increase the total interfacial length. The critical dashed line of Fig. 3H occurs when it equals zero and is thus given by

|Δq|=2d1/2λ3/2. [15]

In the multiple-raft regime where |Δq| exceeds this critical value, the preferred raft size is

αR932λ5Δq214λ3Δq2d, [16]

indicating a second-order phase transition. Note that Eq. 14 is analogous to the free energy of the 2D Frenkel–Kontorova model around the commensurate–incommensurate transition, with the first two terms corresponding to an effective interfacial line tension between rafts and background, the third corresponding to what can be interpreted as an effective interfacial bending energy, and the fourth corresponding to raft–raft repulsion (43, 46). The higher-order terms prevent a negative effective interfacial tension from decreasing the raft size to 0 and set the preferred size, Eq. 16.

To assess the validity of our model, we can compare measurements of optical retardance (Fig. 1F) to values calculated by our model. When polarized light passes through a birefringent material, the “ordinary” and “extraordinary” components propagate at different speeds, leading to a phase difference called retardance that we measure in wavelengths. For our membranes, it is approximately given by D=2Δnlsin2θ and is thus an indirect measure of the tilt angle θ (47). The raw calculated retardance profiles are convolved with a Gaussian of width 0.13 μm representing the microscope’s resolution function, exactly as previously reported (8). Fig. 4 shows good agreement between theoretical and experimental retardance profiles, using the physically reasonable birefringence values reported in Table 1.

Fig. 4.

Fig. 4.

Retardance values D for rafts of various radii αR. The points indicate experimental data and the lines indicate theoretical results calculated with αt=0.5 and the parameter values in Table 1, corresponding to twist penetration depth λ0.8μm and chiral wavenumber difference Δq=0.5μm1. α is given by Eq. 5 and R is adjusted to produce rafts of different radii. Experimental data and methods are reported in ref. 18.

Derivation of the Single-Domain Free Energy

We must be careful to maintain volume conservation in this system, so let us conceptualize the raft formation process in two stages. First, the untwisted two-component membrane of radius Rt with raft area fraction α2 is divided into untwisted tiling domains of radius R, each of which contains a raft of radius αR (Fig. 3B of main text). Second, the rods in each domain twist with angle θ(r)1 (Fig. 3C). Doing so, however, decreases the thickness of the membrane slightly, so to conserve volume in both the raft and the background, each domain has to grow slightly from radius R to R and its raft must grow slightly from radius αR to αR. Mathematically, volume conservation for the raft and the background appears respectively as

0αRdrrl1cosθ=0αRdrrl1,αRRdrrl2cosθ=αRRdrrl2. [S1]

If we expand to quadratic order in θ(r), we get

0αRdrr=0αRdrr+120αRdrrθ2,αRRdrr=αRRdrr+12αRRdrrθ2. [S2]

Thus, the projected areas in the xy plane of the raft and the background increase by terms proportional to θ2 due to rod twist and volume conservation (Fig. 3E).

The free energies of the raft and the background are each described by the single-component membrane free energies Fdep and FFrank (Eqs. 1 and 7 of the main text). In addition, the change in membrane half thickness by dcosθ0 at the raft–background interface creates extra excluded volume, which leads to an interfacial line tension (Fig. 3D). The combination of these effects, to quadratic order in θ and the virus half-length difference d, gives

Fdomain4πcaT=dαR+0αRdr[r+λ122(r(rθ)2+2θrθ+θ2r2q1rrθ2q1θ)]+αRRdr[r+λ222(r(rθ)2+2θrθ+θ2r2q2rrθ2q2θ)]. [S3]

λj=Kjlj/caT is the twist penetration depth, where j{1,2} corresponds to raft and background, respectively. Actually, only the twist mode contributes to this free energy to quadratic order in θ, so the single Frank elastic constant Kj reflects only the twist elastic constant in this equation and does not correspond to the splay or bend elastic constants.

Using 2θrθ=r(θ2), rrθ+θ=r(rθ), and Eq. S2, the domain free energy becomes

Fdomain4πcaT=12R2+dαR[λ12q1λ22q2]αRθ0+12[λ12λ22]θ02+0αRdr[12rθ2+λ122(r(rθ)2+θ2r)]+αRRdr[12rθ2+λ222(r(rθ)2+θ2r)]. [S4]

Every term with αR and R is either linear or quadratic in d and θ, so to quadratic order, we can use αR and R instead:

Fdomain4πcaT=12R2+dαR[λ12q1λ22q2]αRθ0+12[λ12λ22]θ02+0αRdr[12rθ2+λ122(r(rθ)2+θ2r)]+αRRdr[12rθ2+λ222(r(rθ)2+θ2r)]. [S5]

To be precise, the radii αR and R indicated in Fig. 3 of the main text should actually be their primed counterparts, but this correction is quadratic in θ and thus small. Multiplying Eq. S5 by the number of rafts Rt2/R2 gives the membrane structure free energy Eq. 9 of the main text, ignoring a constant term proportional to Rt2.

Calculation of the Virus Tilt Angle

From the membrane structure free energy Eq. 9 of the main text, we can calculate the virus tilt angle θ(r) by solving its Euler–Lagrange equations. We first focus on the raft domain and rewrite its integral in a dimensionless manner with the substitutions s1=r/λ1 and S1=R/λ1,

0αRdr[12rθ2+λ122(r(rθ)2+θ2r)]=λ1220αS1ds1[s1θ2+θ2s1+s1(s1θ)2]=λ1220αS1ds1[s1θs12θ+θs1θ+s1(s1θ)2]=λ122(s1θs1θ)|s1=0αS1, [S6]

where the last two expressions were obtained through the Euler–Lagrange equation

s12s12θ+s1s1θ(s12+1)θ=0, [S7]

which is a Bessel differential equation. The boundary conditions for the raft are θ(0)=0 and θ(αS1)=θ0. We can obtain the same equation for the background with the substitutions s2=r/λ2 and S2=R/λ2, and its boundary conditions are θ(αS2)=θ0 and θ(S2)=0. Solving for θ(r) gives Eq. 11 of the main text.

Raft–Raft Repulsion

To model the interaction between two neighboring rafts as they approach each other, we shift each circular raft within its circular tiling domain off center by a distance b0 toward each other (Fig. 5A). To accomplish this, the background membrane must be deformed; for simplicity, we assume that the rafts themselves are unchanged by this shift. We parameterize the deformation by a shift profile b(r) such that Cartesian coordinates are given in terms of shifted polar coordinates by

x=rcosϕ+b(r)andy=rsinϕ. [17]

Fig. 5.

Fig. 5.

Raft–raft repulsion. (A) The approach of two rafts is modeled as raft shifts b0 with respect to their circular tiling domains. (B) Shifted polar coordinate system of the background membrane (Eq. 17). Dashed lines indicate curves of constant r from r=αR (red) to r=R (blue), which are circles of radius r whose centers (dots) lie at x=b(r) and y=0. (C) Raft–raft repulsion energy ΔF divided by temperature T for rafts of various radii αR. The points indicate experimental data and the lines indicate theoretical results calculated with αt=0.5 and the parameter values in Table 1, corresponding to twist penetration depth λ0.8μm and chiral wavenumber difference Δq=0.5μm1. α is given by Eq. 5 and R is adjusted to produce rafts of different radii. Experimental data and methods are reported in ref. 18. Schematics are not drawn to scale.

In other words, the curves of constant r are nested nonconcentric circles of radius r centered at x=b(r) and y=0 (Fig. 5B). Our shift ansatz Eq. 17 breaks circular symmetry into dipolar symmetry, implying that θ can vary with azimuthal angle ϕ and that particles can tilt in the 𝐫^ direction. To dipolar order, θ(r,ϕ)=θ(r)+ϑ(r)cosϕ, where ϑ(r) is the dipolar tilt component. We must carefully recalculate terms in the single-domain free energy Fdomain that would be changed by this coordinate transformation:

Fshift2caT=αRRdr02πdϕhrhϕ×{12θ2+λ222[(𝐧)2+(×𝐧)2]}. [18]

hr and hϕ are scale factors of the coordinate transformation. The evaluation of Eq. 18 is provided in Calculation of the Raft Shift Free Energy, where we see that the 𝐫^ component of 𝐧 can be ignored to leading order in tilt angles. The shift profile b(r) appears from the scale factors and the spatial derivatives. Because we assume the rafts are unchanged by the deformation, θ(αR)=θ0 and ϑ(αR)=0, corresponding to the unshifted interfacial tilt angle given by Eq. 12. The deformation vanishes at the edge of the tiling domain, so b(R)=0, θ(R)=0, and ϑ(R)=0. To calculate the interaction energy between two rafts as a function of separation distance, we impose various shift distances b0=b(αR); numerically minimize the free energy over b(r), θ(r), and ϑ(r); subtract the energy of the unshifted membrane with b(r)=0; and double the result.

Meanwhile, the repulsive free energy of this two-raft system has been measured experimentally via optical trapping by moving rafts toward each other, releasing them, and tracking their subsequent trajectories (Fig. 1G and ref. 18). Using parameter values given in Table 1, our model agrees well with these measurements for various raft radii αR (Fig. 5C). Thus, despite our relatively simple ansatz, our results quantitatively demonstrate that deformation of the background membrane as two rafts approach each other can explain the observed repulsion between rafts.

Calculation of the Raft Shift Free Energy

The shifted polar coordinates used to calculate the raft shift free energy are

x=rcosϕ+b(r)andy=rsinϕ. [S8]

We calculate Eq. 18 of the main text explicitly by substituting in expressions for the scale factors

hr=(rx)2+(ry)2=1+2rbcosϕ+(rb)2hϕ=(ϕx)2+(ϕy)2=r [S9]

and the nematic director

𝐧(r,ϕ)=sinψ(r,ϕ)sinθ(r,ϕ)𝐫^cosψ(r,ϕ)sinθ(r,ϕ)ϕ^+cosθ(r,ϕ)𝐳^. [S10]

θ(r,ϕ)=θ(r)+ϑ(r)cosϕ, where θ and ϑ are the monopolar and dipolar components of the tilt angle. The angle ψ(r,ϕ)=ψ(r)sinϕ, also to dipolar order, rotates the tilt axis of the particles to produce an 𝐫^ component in 𝐧. The result, to quadratic order in the angles, is

Fshift2caT=αRRdr02πdϕ{12r(θ+ϑcosϕ)2×1+2rbcosϕ+(rb)2+λ222(rrθ+rrϑcosϕ+θ+ϑcosϕ)2r1+2rbcosϕ+(rb)2+λ222[θrb+ϑ+3ϑrbcosϕ+ϑ(rb)2]2sin2ϕr[1+2rbcosϕ+(rb)2]3/2}. [S11]

Note that ψ does not appear, so we set ψ=0. The shifted coordinate system introduces splay deformations into this quadratic-order free energy, so the single Frank elastic constant describes the energetic cost of both twist and splay deformations. We can perform the integral over ϕ to obtain the complicated expression

Fshift2caT=αRRdrr{11+rbk[θ,ϑ,b;r]K(2rb1+rb)+(1+rb)e[θ,ϑ,b;r]E(2rb1+rb)}, [S12]

where K and E are complete elliptic integrals of the first and second kinds, respectively, and

k[θ,ϑ,b;r]=λ22θ2[1+(rb)2]+2λ22(θ+rrθ)22λ22(θ+rrθ)(ϑ+rrϑ)[1+(rb)2]+43(2r2+3λ22)θϑrb23(r2+λ22)×θϑ[1+(rb)2]rb15(2r2+13λ22)ϑ2[1+(rb)2]+115(r2+9λ22)ϑ2[1+(rb)2][1+4(rb)2+(rb)4](rb)2+13λ22(ϑ+rrϑ)2[1+4(rb)2+(rb)4](rb)2, [S13]
e[θ,ϑ,b;r]=(2r2λ22)θ2+23(r2+3λ22)θϑ[1+(rb)2]rb+2λ22(θ+rrθ)(ϑ+rrϑ)rb+13(4r2+9λ22)ϑ2115(r2+9λ22)ϑ2[1+4(rb)2+(rb)4](rb)213λ22(ϑ+rrϑ)2[1+(rb)2](rb)2. [S14]

We can simplify the shift energy Eq. S12 in the limit of small raft shifts with rb1. Assuming small deformations, we expect that θ retains its unshifted profile (Eq. 11 of the main text). We can directly calculate ΔFshift, which is Fshift minus the unshifted free energy of the domain in which b=0. To quadratic order in rb,

ΔFshift4πcaT=αRRdr{18[2rϑ2+rθ2(rb)2]+λ228[2r(rϑ)2+4ϑrϑ+4ϑ2r+(r(rθ)2+2θrθ+3θ2r)(rb)2]}. [S15]

First, note that ϑ and b are uncoupled. The terms corresponding to ϑ can be written as a sum of squares, so ϑ=0. Thus,

ΔFshift4πcaT=αRRdr[18rθ2+λ228(r(rθ)2+2θrθ+3θ2r)]×(rb)2. [S16]

In the large radius limit where αRλ2, we can make numerous simplifications, including

θ(r)θ0αRrsinh[(Rr)/λ2]sinh[(RαR)/λ2]. [S17]

This transforms Eq. S16 to

ΔFshift4πcaT=αR8csch2[(RαR)/λ2]θ02×αRRdrcosh[2(Rr)/λ2](rb)2. [S18]

The Euler–Lagrange equation for b(r) can be integrated to give

b(r)b0arctantanh[(Rr)/λ2]arctantanh[(RαR)/λ2]. [S19]

Substituting this into Eq. S18 yields the energy

ΔFshift4πcaTαR8λ2csch2[(RαR)/λ2]arctantanh[(RαR)/λ2]θ02b02. [S20]

Discussion

Our model is designed to emphasize physical relevance and minimize phenomenological contributions. To do so, we ignore many effects that may ultimately produce a more precise description of these colloidal membranes, but in the process add more fit parameters that obscure the underlying generalizable physical principles. For example, the viruses are idealized to be hard rods that form geometrically precise and homogeneous membranes. During phase separation, we disregard the increased translational entropy of the shorter fd viruses when they are embedded within the longer M13 viruses. Furthermore, for mathematical tractability, we expand the membrane free energy to quadratic order in d/lj and θ, even though the values in Table 1 imply d/l𝑓𝑑=0.3 and θ00.25.

On the other hand, our conceptual division of raft formation into the two sequential steps of phase separation and raft organization appears to be justified. Numerical minimization of a free energy combining Eqs. 4 and 13 yields results indistinguishable from Figs. 2D and 3H, indicating that the characteristic energy scale of phase separation is much higher than that of raft organization. Moreover, this division is demonstrated in the experimental separation of relaxation timescales. As depicted in Fig. 1E, rafts take 24 h to reach their equilibrium size, but the membrane reaches its equilibrium degree of phase separation much more quickly (the background fluorescence stays constant throughout the three panels). Both processes undergo energetic relaxation through diffusion of the same particles, so their decay timescales scale as τη/ε, where η is the viscosity and ε is an energy density scale. A larger τ for the process of raft organization corresponds to a smaller ε compared with that of membrane phase separation, which our model explains.

Despite these sweeping simplifications, our model can match measurements with quantitative accuracy while using physically reasonable parameter values. It is consistent with our single-component membrane model that described an independent set of experimental observations (19). Moreover, it provides meaningful insight into the fundamental mechanisms that drive membrane raft formation and organization. Competition between mixing entropy and depletion entropy determines the degree of phase separation of two virus species with different lengths. This competition is independent of virus chirality and can be easily and precisely tuned by adjusting the depletant concentration. A difference in the natural tendency for chiral particles to twist with a preferred handedness and pitch endows the rafts with a chiral structure. This structure stabilizes small rafts against an interfacial line tension that would otherwise promote coarsening to a single raft domain and establishes a preferred depletant-concentration–dependent raft size. The twisted structure of the background membrane transmits torques and mediates an elastic repulsion between rafts.

Previous theoretical reports have demonstrated that chiral structure can establish a membrane lengthscale, but they differ from our theory in several crucial ways. Some describe single-component smectic-C membranes that contain hexagonal cells with only one handedness of twist and arrays of defects at the corners of the cells (48, 49). Selinger et al. (50) investigate membranes formed from racemic mixtures that can form domains of alternating chirality upon spontaneous symmetry breaking. They find a square lattice of domains that also contain defects at their corners. Simultaneously with our work, their theory has been expanded to hexagonal domains without defects and applied to filamentous virus membranes (40). These aforementioned theories are based on phenomenological Landau expansions in the concentration difference between the two chiral components (we show how our model can provide values for Landau coefficients in Landau Coefficients for Phase Separation). Complementarily, Xie et al. (39) investigate raft–raft repulsion by directly minimizing the free energy of both raft and background. They highlight the role of background chiral twist and use values for Frank constants (5 pN) and twist wavenumbers (3μm1) that are within an order of magnitude of those we use (Table 1). However, they assume well-defined rafts of a particular size, ignoring the processes of phase separation and raft size establishment, and use a phenomenological virus tilt modulus without exploring its physical basis in depletion entropy. In contrast, our theory, which provides a more unified microscopic approach that facilitates comparison with experiments, produces analytical expressions for the chiral raft structure and provides mathematical intuition for raft–raft repulsion via a shift ansatz.

Colloidal membranes composed of viruses share important physical symmetries with their molecular counterparts, even though their characteristic lengthscales and microscopic origins of interactions differ. In fact, a leading-order free energy for rafts in a flat molecular membrane would look very much like Eq. 9. The interfacial line tension between rafts and background would replace the term proportional to d (51, 52). Phases that prefer alignment perpendicular to the membrane plane, such as the biologically relevant Lα phase, would require a θ2 term (53, 54). Molecular twist would be encapsulated by Frank free energy terms. A generalization of our model that can be applied to other membrane systems is provided in General Membrane Rafts Formed from Chiral Rod-Like Particles. Furthermore, experimentally prepared and biological membranes have rafts enriched in cholesterol compared with the background (55, 56). Cholesterol demonstrates a strong preference for chiral twist—in fact, the chiral nematic, or cholesteric, phase was the first liquid crystalline phase observed in 1888 by Friedrich Reinitzer while investigating cholesteryl esters (57). Hence, we expect a significant difference in chiral wavenumbers Δq that could stabilize smaller rafts.

Our theory contributes to a biologically relevant and poorly understood niche in the rich literature on molecular membranes. It may explain why Langmuir monolayers composed of multiple chiral molecules demonstrate a limit to domain coarsening (58) and biological lipid rafts are believed to have a finite size (59), in contradiction to continuous coarsening predicted by the Cahn–Hilliard model of phase separation (43). Our description of raft–raft repulsion is analogous to the twist-mediated interaction of chiral islands in smectic-C films (6062). It offers an explanation for the mutual repulsion observed between transmembrane protein pores formed by certain antimicrobials, if one imagines that these chiral pores impose phospholipid tilt at their interface with the background membrane (63, 64). Ultimately, the validity of our theory in a particular membrane system hinges on the direct observation of twist, which can be achieved with polarized optical microscopy if the twist penetration depth is at least the wavelength of light (13).

Moreover, phospholipid rafts demonstrate chiral phase behavior that must be explained by a theory attuned to chirality. By either replacing naturally chiral sphingomyelins with a racemic mixture (65) or replacing cholesterol with its enantiomer (66, 67) [although these latter studies disagree with subsequent work (68, 69)], the critical point for phase separation changes. Although for our model parameters phase separation occurs independently from raft organization, other parameter values cause the raft area fraction α2 to depend on the difference in chiral twist wavenumbers Δq (Fig. S2 and Chiral Contribution to Phase Separation). Furthermore, different enantiomers of the same anesthetic molecule have been shown to have different potencies (7072). Our theory presents a paradigm through which chirality affects physical membrane properties, in accordance with the classic hypothesis that anesthetic molecules disrupt membrane phase behavior (73, 74).

Fig. S2.

Fig. S2.

Phase separation using a total free energy incorporating raft structure and organization. α2 is the area fraction of the raft phase, and it is obtained by numerically minimizing the sum of Eqs. 4 and 13 of the main text over a range of depletant concentrations c. We use the same parameter values given in Table 1 of the main text, except that the chiral wavenumbers q𝑓𝑑 and qM13 are multiplied by a factor of 1 (solid lines), 2 (dashed lines), or 2.5 (dotted lines). The solid lines are indistinguishable from Fig. 2D of the main text, which plots Eq. 5. As the chiral wavenumber difference increases in magnitude past a critical value, α increases beyond its value in Eq. 5 and phase separation begins at lower values of c.

General Membrane Rafts Formed from Chiral Rod-Like Particles

Our theory easily generalizes to any membrane raft system that has three properties. First, the membrane particles are chiral and rod-like and thus prefer to twist at a particular wavenumber. This is described by the chiral Frank free energy presented as Eq. 7 of the main text, with single elastic constant K and chiral wavenumber q. Second, the particles prefer to align perpendicular to the membrane. This appears to lowest order as a harmonic free energy

Falign=D2d2𝐱θ2. [S39]

D is analogous to the smectic liquid crystal alignment parameter, but it multiplies an integral over 2D, not 3D, space. Third, a line tension exists at the interfaces between the two phases,

Ftension=γCds, [S40]

where the line integral travels along all interfaces C.

We approximate the rafts to tile the circular membrane of radius Rt via circular domains of radius R, just as in Fig. 3 of the main text. We take the raft area fraction α2 to be an experimental parameter, although for certain systems, it may be possible to determine α from more fundamental physical principles, in analogy to the entropically derived Eq. 4. The structural free energy of this generalized system is

Fgen2π=Rt2R2{γαR[K1t1q1K2t2q2]αRθ0+12[K1t1K2t2]θ02+0αRdr[D12rθ2+K1t12(r(rθ)2+θ2r)]+αRRdr[D22rθ2+K2t22(r(rθ)2+θ2r)]}. [S41]

t is the thickness of the membrane, and the subscripts 1 and 2 refer to raft and background phases, respectively. Ref. 40 of the main text arrives at a similar free energy, but the differences in parameter values between raft and background phases in their work arise from a two-species Landau theory in terms of the area fraction of one of the virus species.

Minimizing Fgen with respect to θ and then θ0 proceeds analogously to the virus case. With the boundary conditions θ(0)=0, θ(αR)=θ0, and θ(R)=0,

θ(r)={θ0I1(s1)I1(αS1)0rαRθ0K1(s2)/K1(S2)I1(s2)/I1(S2)K1(αS2)/K1(S2)I1(αS2)/I1(S2)αRrR, [S42]

where Iν and Kν are modified Bessel functions of the first and second kind, respectively, of order ν. To prevent confusion of the latter for Frank constants, we define kjKjtj, for j{1,2}, as an effective 2D Frank elastic constant, where Kj refers to the 3D Frank constant. The twist penetration depths are λjkj/Dj, which rescale the distances as sj=r/λj and Sj=R/λj. The maximum twist angle is

θ0=k1q1k2q2D1k1I0(αS1)I1(αS1)+D2k2K0(αS2)/K1(S2)+I0(αS2)/I1(S2)K1(αS2)/K1(S2)I1(αS2)/I1(S2). [S43]

After integrating out θ, Fgen becomes

Fstruct2πRt2=αR{γ12(k1q1k2q2)2D1k1I0(αS1)I1(αS1)+D2k2K0(αS2)/K1(S2)+I0(αS2)/I1(S2)K1(αS2)/K1(S2)I1(αS2)/I1(S2)}, [S44]

a major result of the main text, but here for generalized membranes.

Chiral Contribution to Phase Separation

With the parameter values given in Table 1 of the main text, numerical minimization of the total free energy combining bare phase separation (Eq. 4) and raft structure (Eq. 13) over α and R yields results indistinguishable from sequential minimization of Eq. 4 over α and Eq. 13 over R. However, after multiplying both chiral wavenumbers q𝑓𝑑 and qM13 by various factors, combined minimization and sequential minimization produce different results (Fig. S2). Note that Eq. 4 does not depend on Δq and the Frank constant K, whereas Eq. 13 does. Thus, increasing the magnitude of the chiral wavenumber difference Δq places the system in a regime where the chiral membrane structure influences the degree of phase separation. A larger |Δq| leads to a larger α, facilitating phase separation.

We can see this effect of Δq on α analytically in the R limit, where Eq. 13 becomes Eq. 14 of the main text. We introduce a small correction Δα that the structural free energy imposes on the α preferred by the phase separation free energy (Eq. 5 of the main text):

α=αt2e2cd/cv1e2cd/cv+Δα. [S30]

We then expand the combined free energy (Eq. 4 plus Eq. 14) to leading orders in Δα and 1/R:

Fsep+FstructπRt2T=Fsep0+Fstruct0πRt2T+4caR(d14λ3Δq2)Δα+cv(αt2e2cd/cv)(1e2cd/cv)(1αt2)e2cd/cvΔα2. [S31]

Here, the 0 superscript indicates the unperturbed free energies that do not depend on Δα. The coefficient of the quadratic term is always positive when α0. The coefficient of the linear term includes an overall factor of a/R and is thus small for large R. When it is positive, the membrane is in the regime of a single large raft, so R and the linear term vanishes. The membrane thus prefers Δα=0, and the structure of the membrane does not affect phase separation. The coefficient of the linear term changes sign at the transition from a single large raft to multiple smaller rafts, becoming negative in the latter regime and favoring a positive Δα. Thus, we directly see in this limit that Fsep dominates the behavior of α and that chirality facilitates phase separation, because a larger |Δq| favors a larger Δα.

Overview of the Linear System

Here we present the major results of a rectangular membrane whose rafts are arranged as linear stripes of wavelength 2L. Note that the same results can be obtained by taking the R limit of the circular raft system. The membrane has dimensions Lx and Ly, and the nematic director describing particle orientation is 𝐧(x)=sinθ(x)𝐲^+cosθ(x)𝐳^. The membrane free energy, in analogy to Eq. 9 of the main text, is

Flinear2caTLy=LxL{d[λ12q1λ22q2]θ0+0αLdx[12θ2+λ122(xθ)2]+αLLdx[12θ2+λ222(xθ)2]}. [S32]

The qs and λs are defined identically to their definitions in the main text, with the raft phase extending from 0 to αL and the background phase from αL to L. The Euler–Lagrange equations for the raft and background phases are simply λj2x2θθ=0, with j{1,2}. The boundary conditions are θ(0)=0, θ(αL)=θ0, and θ(L)=0. Thus,

θ(x)={θ0sinh(x/λ1)sinh(αL/λ1)0xαLθ0sinh[(Lx)/λ2]sinh[(LαL)/λ2)]αLxL. [S33]

Substituting this into Eq. S32 yields

Flinear2caTLy=LxL{d[λ12q1λ22q2]θ0+12[λ1coth(αL/λ1)+λ2coth[(LαL)/λ2]]θ02}. [S34]

Thus,

θ0=λ12q1λ22q2λ1coth(αL/λ1)+λ2coth[(LαL)/λ2], [S35]

leading to

Flinear2caTLy=LxL{d12[λ12q1λ22q2]2λ1coth(αL/λ1)+λ2coth[(LαL)/λ2]} [S36]
=LxL{d12λ3Δq2coth(αL/λ)+coth[(LαL)/λ]}, [S37]

under the assumption that λλ1=λ2, where Δq=q1q2.

In the limit where L, this becomes

Flinear2caTLyLxL{d14λ3Δq2+14λ3Δq2[e2αL/λ+e2(1α)L/λ]}. [S38]

Unlike the circularly symmetric case, there are no higher-order polynomial terms in L1. Thus, the transition to finite-sized striped rafts is directly analogous to the 1D Frenkel–Kontorova model at the commensurate–incommensurate transition.

We believe that the free-floating experimental system adopts a circular geometry due to the energy of the membrane edge, which, due to depletion, prefers rods to be tilted along the tangent to the edge. Perhaps a linear, striped configuration can be seen in very large or spherical membranes where edge effects are not important.

Acknowledgments

We are grateful to Zvonimir Dogic and Prerna Sharma for generously suggesting ideas, sharing data, and critically reading our manuscript. We thank our reviewers for offering constructive suggestions. We acknowledge financial support from the National Science Foundation through Grant DMR-1104707. T.C.L. is grateful for support from a Simons Investigator grant.

Footnotes

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1613732114/-/DCSupplemental.

References

  • 1.Dogic Z, Fraden S. Cholesteric phase in virus suspensions. Langmuir. 2000;16(20):7820–7824. [Google Scholar]
  • 2.Purdy KR, et al. Measuring the nematic order of suspensions of colloidal fd virus by x-ray diffraction and optical birefringence. Phys Rev E Stat Nonlin Soft Matter Phys. 2003;67(3 Pt 1):031708. doi: 10.1103/PhysRevE.67.031708. [DOI] [PubMed] [Google Scholar]
  • 3.Dogic Z, Purdy KR, Grelet E, Adams M, Fraden S. Isotropic-nematic phase transition in suspensions of filamentous virus and the neutral polymer Dextran. Phys Rev E Stat Nonlin Soft Matter Phys. 2004;69(5):051702. doi: 10.1103/PhysRevE.69.051702. [DOI] [PubMed] [Google Scholar]
  • 4.Lettinga MP, Dogic Z, Wang H, Vermant J. Flow behavior of colloidal rodlike viruses in the nematic phase. Langmuir. 2005;21(17):8048–8057. doi: 10.1021/la050116e. [DOI] [PubMed] [Google Scholar]
  • 5.Dogic Z, Fraden S. Ordered phases of filamentous viruses. Curr Opin Colloid Interface Sci. 2006;11(1):47–55. [Google Scholar]
  • 6.Tombolato F, Ferrarini A, Grelet E. Chiral nematic phase of suspensions of rodlike viruses: Left-handed phase helicity from a right-handed molecular helix. Phys Rev Lett. 2006;96(25):258302. doi: 10.1103/PhysRevLett.96.258302. [DOI] [PubMed] [Google Scholar]
  • 7.Barry E, Beller D, Dogic Z. A model liquid crystalline system based on rodlike viruses with variable chirality and persistence length. Soft Matter. 2009;5(13):2563–2570. [Google Scholar]
  • 8.Barry E, Dogic Z, Meyer RB, Pelcovits RA, Oldenbourg R. Direct measurement of the twist penetration length in a single smectic A layer of colloidal virus particles. J Phys Chem B. 2009;113(12):3910–3913. doi: 10.1021/jp8067377. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pelcovits RA, Meyer RB. Twist penetration in single-layer smectic A discs of colloidal virus particles. Liq Cryst. 2009;36(10-11):1157–1160. [Google Scholar]
  • 10.Barry E, Dogic Z. Entropy driven self-assembly of nonamphiphilic colloidal membranes. Proc Natl Acad Sci USA. 2010;107(23):10348–10353. doi: 10.1073/pnas.1000406107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kaplan CN, Tu H, Pelcovits RA, Meyer RB. Theory of depletion-induced phase transition from chiral smectic-A twisted ribbons to semi-infinite flat membranes. Phys Rev E Stat Nonlin Soft Matter Phys. 2010;82(2 Pt 1):021701. doi: 10.1103/PhysRevE.82.021701. [DOI] [PubMed] [Google Scholar]
  • 12.Yang Y, Barry E, Dogic Z, Hagan MF. Self-assembly of 2D membranes from mixtures of hard rods and depleting polymers. Soft Matter. 2012;8(3):707–714. doi: 10.1039/C1SM06201H. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Gibaud T, et al. Reconfigurable self-assembly through chiral control of interfacial tension. Nature. 2012;481(7381):348–351. doi: 10.1038/nature10769. [DOI] [PubMed] [Google Scholar]
  • 14.Tu H, Pelcovits RA. Theory of self-assembled smectic-A crenellated disks: Membranes with cusped edges. Phys Rev E. 2013;87(3):032504. [Google Scholar]
  • 15.Tu H, Pelcovits RA. Instability of flat disks with respect to the formation of twisted ribbons in smectic-A monolayers. Phys Rev E Stat Nonlin Soft Matter Phys. 2013;87(4):042505. doi: 10.1103/PhysRevE.87.042505. [DOI] [PubMed] [Google Scholar]
  • 16.Kaplan CN, Meyer RB. Colloidal membranes of hard rods: Unified theory of free edge structure and twist walls. Soft Matter. 2014;10(26):4700–4710. doi: 10.1039/c4sm00803k. [DOI] [PubMed] [Google Scholar]
  • 17.Zakhary MJ, et al. Imprintable membranes from incomplete chiral coalescence. Nat Commun. 2014;5:3063. doi: 10.1038/ncomms4063. [DOI] [PubMed] [Google Scholar]
  • 18.Sharma P, Ward A, Gibaud T, Hagan MF, Dogic Z. Hierarchical organization of chiral rafts in colloidal membranes. Nature. 2014;513(7516):77–80. doi: 10.1038/nature13694. [DOI] [PubMed] [Google Scholar]
  • 19.Kang L, Gibaud T, Dogic Z, Lubensky TC. Entropic forces stabilize diverse emergent structures in colloidal membranes. Soft Matter. 2016;12(2):386–401. doi: 10.1039/c5sm02038g. [DOI] [PubMed] [Google Scholar]
  • 20.Asakura S, Oosawa F. On interaction between two bodies immersed in a solution of macromolecules. J Chem Phys. 1954;22:1255–1256. [Google Scholar]
  • 21.Asakura S, Oosawa F. Interaction between particles suspended in solutions of macromolecules. J Polymer Sci. 1958;33(126):183–192. [Google Scholar]
  • 22.Lau AWC, Prasad A, Dogic Z. Condensation of isolated semi-flexible filaments driven by depletion interactions. Europhys Lett. 2009;87(4):48006. [Google Scholar]
  • 23.Ioan CE, Aberle T, Burchard W. Structure properties of dextran. 2. Dilute solution. Macromolecules. 2000;33(15):5730–5739. [Google Scholar]
  • 24.Armstrong JK, Wenby RB, Meiselman HJ, Fisher TC. The hydrodynamic radii of macromolecules and their effect on red blood cell aggregation. Biophys J. 2004;87(6):4259–4270. doi: 10.1529/biophysj.104.047746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Banks DS, Fradin C. Anomalous diffusion of proteins due to molecular crowding. Biophys J. 2005;89(5):2960–2971. doi: 10.1529/biophysj.104.051078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Harnau L, Dietrich S. Inhomogeneous platelets and rod fluids. In: Gompper G, Schick M, editors. Soft Matter. Vol 3. Wiley-VCH; Weinheim, Germany: 2007. pp. 156–311. [Google Scholar]
  • 27.Gast AP, Hall CK, Russel WB. Polymer-induced phase separations in nonaqueous colloidal suspensions. J Colloid Interface Sci. 1983;96(1):251–267. [Google Scholar]
  • 28.Gasser U, Weeks ER, Schofield A, Pusey PN, Weitz DA. Real-space imaging of nucleation and growth in colloidal crystallization. Science. 2001;292(5515):258–262. doi: 10.1126/science.1058457. [DOI] [PubMed] [Google Scholar]
  • 29.Pusey PN, van Megen W. Phase behaviour of concentrated suspensions of nearly hard colloidal spheres. Nature. 1986;320(6060):340–342. [Google Scholar]
  • 30.Weeks ER, Crocker JC, Levitt AC, Schofield A, Weitz DA. Three-dimensional direct imaging of structural relaxation near the colloidal glass transition. Science. 2000;287(5453):627–631. doi: 10.1126/science.287.5453.627. [DOI] [PubMed] [Google Scholar]
  • 31.Lekkerkerker HNW, Poon WC-K, Pusey PN, Stroobants A, Warren PB. Phase behaviour of colloid + polymer mixtures. Europhys Lett. 1992;20(6):559–564. [Google Scholar]
  • 32.Aarts DGAL, Schmidt M, Lekkerkerker HNW. Direct visual observation of thermal capillary waves. Science. 2004;304(5672):847–850. doi: 10.1126/science.1097116. [DOI] [PubMed] [Google Scholar]
  • 33.Aarts DGAL, Dullens RPA, Lekkerkerker HNW, Bonn D, van Roij R. Interfacial tension and wetting in colloid–polymer mixtures. J Chem Phys. 2004;120(4):1973–1980. doi: 10.1063/1.1635810. [DOI] [PubMed] [Google Scholar]
  • 34.Lekkerkerker HNW, van der Kooij FM, Kassapidou K. Liquid crystal phase transitions in suspensions of polydisperse plate-like particles. Nature. 2000;406(6798):868–871. doi: 10.1038/35022535. [DOI] [PubMed] [Google Scholar]
  • 35.Lettinga MP, Grelet E. Self-diffusion of rodlike viruses through smectic layers. Phys Rev Lett. 2007;99(19):197802. doi: 10.1103/PhysRevLett.99.197802. [DOI] [PubMed] [Google Scholar]
  • 36.Dietrich C, et al. Lipid rafts reconstituted in model membranes. Biophys J. 2001;80(3):1417–1428. doi: 10.1016/S0006-3495(01)76114-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Veatch SL, Keller SL. Separation of liquid phases in giant vesicles of ternary mixtures of phospholipids and cholesterol. Biophys J. 2003;85(5):3074–3083. doi: 10.1016/S0006-3495(03)74726-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Lingwood D, Simons K. Lipid rafts as a membrane-organizing principle. Science. 2009;327(5961):46–50. doi: 10.1126/science.1174621. [DOI] [PubMed] [Google Scholar]
  • 39.Xie S, Hagan MF, Pelcovits RA. Interaction of chiral rafts in self-assembled colloidal membranes. Phys Rev E. 2016;93(3):032706. doi: 10.1103/PhysRevE.93.032706. [DOI] [PubMed] [Google Scholar]
  • 40.Sakhardande R, et al. 2016. Theory of microphase separation in bidisperse chiral membranes. arXiv:1604.03012.
  • 41.Allendoerfer CB. Steiner’s formulae on a general Sn+1. Bull New Ser Am Math Soc. 1948;54(2):128–135. [Google Scholar]
  • 42.Hansen-Goos H, Roth R, Mecke K, Dietrich S. Solvation of proteins: Linking thermodynamics to geometry. Phys Rev Lett. 2007;99(12):128101. doi: 10.1103/PhysRevLett.99.128101. [DOI] [PubMed] [Google Scholar]
  • 43.Chaikin PM, Lubensky TC. Principles of Condensed Matter Physics. Cambridge Univ Press; Cambridge, UK: 1995. pp. 601–620. [Google Scholar]
  • 44.Slater JC. Wave functions in a periodic potential. Phys Rev. 1937;51:846–851. [Google Scholar]
  • 45.Frank FC. I. Liquid crystals. On the theory of liquid crystals. Discuss Faraday Soc. 1958;25:19–28. [Google Scholar]
  • 46.Bak P. Commensurate phases, incommensurate phases and the devil’s staircase. Rep Progr Phys. 1982;45(6):587–629. [Google Scholar]
  • 47.Born M, Wolf E. Principles of Optics. Cambridge Univ Press; Cambridge, UK: 2005. [Google Scholar]
  • 48.Hinshaw GA, Jr, Petschek RG, Pelcovits RA. Modulated phases in thin ferroelectric liquid-crystal films. Phys Rev Lett. 1988;60(18):1864–1867. doi: 10.1103/PhysRevLett.60.1864. [DOI] [PubMed] [Google Scholar]
  • 49.Hinshaw GA, Jr, Petschek RG. Transitions and modulated phases in chiral tilted smectic liquid crystals. Phys Rev A Gen Phys. 1989;39(11):5914–5926. doi: 10.1103/physreva.39.5914. [DOI] [PubMed] [Google Scholar]
  • 50.Selinger JV, Wang ZG, Bruinsma RF, Knobler CM. Chiral symmetry breaking in Langmuir monolayers and smectic films. Phys Rev Lett. 1993;70(8):1139–1142. doi: 10.1103/PhysRevLett.70.1139. [DOI] [PubMed] [Google Scholar]
  • 51.Samsonov AV, Mihalyov I, Cohen FS. Characterization of cholesterol-sphingomyelin domains and their dynamics in bilayer membranes. Biophys J. 2001;81(3):1486–1500. doi: 10.1016/S0006-3495(01)75803-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Kuzmin PI, Akimov SA, Chizmadzhev YA, Zimmerberg J, Cohen FS. Line tension and interaction energies of membrane rafts calculated from lipid splay and tilt. Biophys J. 2005;88(2):1120–1133. doi: 10.1529/biophysj.104.048223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Katsaras J, Gutberlet T. Lipid Bilayers: Structure and Interactions, Biological and Medical Physics, Biomedical Engineering. Springer; Berlin: 2013. pp. 30–34. [Google Scholar]
  • 54.Tardieu A, Luzzati V, Reman FC. Structure and polymorphism of the hydrocarbon chains of lipids: A study of lecithin-water phases. J Mol Biol. 1973;75(4):711–733. doi: 10.1016/0022-2836(73)90303-3. [DOI] [PubMed] [Google Scholar]
  • 55.Simons K, Ikonen E. Functional rafts in cell membranes. Nature. 1997;387(6633):569–572. doi: 10.1038/42408. [DOI] [PubMed] [Google Scholar]
  • 56.Alberts B, et al. Molecular Biology of the Cell. 6th Ed. Garland Science; New York: 2015. pp. 572–574. [Google Scholar]
  • 57.Reinitzer F. Beiträge zur Kenntniss des Cholesterins. Monatsh Chem. 1888;9(1):421–441. [Google Scholar]
  • 58.Seul M, Morgan NY, Sire C. Domain coarsening in a two-dimensional binary mixture: Growth dynamics and spatial correlations. Phys Rev Lett. 1994;73(17):2284–2287. doi: 10.1103/PhysRevLett.73.2284. [DOI] [PubMed] [Google Scholar]
  • 59.Anderson RGW, Jacobson K. A role for lipid shells in targeting proteins to caveolae, rafts, and other lipid domains. Science. 2002;296(5574):1821–1825. doi: 10.1126/science.1068886. [DOI] [PubMed] [Google Scholar]
  • 60.Cluzeau P, Joly G, Nguyen HT, Dolganov VK. Two-dimensional ordering of inclusions in smectic-C films. Pis’ma v Zh Èksper Teoret Fiz. 2002;75(9):482–486. [Google Scholar]
  • 61.Bohley C, Stannarius R. Inclusions in free standing smectic liquid crystal films. Soft Matter. 2008;4(4):683. doi: 10.1039/b715124a. [DOI] [PubMed] [Google Scholar]
  • 62.Silvestre NM, et al. Modeling dipolar and quadrupolar defect structures generated by chiral islands in freely suspended liquid crystal films. Phys Rev E Stat Nonlin Soft Matter Phys. 2009;80(4):041708. doi: 10.1103/PhysRevE.80.041708. [DOI] [PubMed] [Google Scholar]
  • 63.Constantin D, Brotons G, Jarre A, Li C, Salditt T. Interaction of alamethicin pores in DMPC bilayers. Biophys J. 2007;92(11):3978–3987. doi: 10.1529/biophysj.106.101204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Constantin D. Membrane-mediated repulsion between gramicidin pores. Biochim Biophys Acta. 2009;1788(9):1782–1789. doi: 10.1016/j.bbamem.2009.05.007. [DOI] [PubMed] [Google Scholar]
  • 65.Ramstedt B, Slotte JP. Comparison of the biophysical properties of racemic and d-erythro-N-acyl sphingomyelins. Biophys J. 1999;77(3):1498–1506. doi: 10.1016/S0006-3495(99)76997-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Lalitha S, Sampath Kumar A, Stine KJ, Covey DF. Chirality in membranes: First evidence that enantioselective interactions between cholesterol and cell membrane lipids can be a determinant of membrane physical properties. J Supramol Chem. 2001;1(2):53–61. [Google Scholar]
  • 67.Lalitha S, Kumar AS, Covey DF, Stine KJ. Enantiospecificity of sterol–lipid interactions: First evidence that the absolute configuration of cholesterol affects the physical properties of cholesterol–sphingomyelin membranes. Chem Commun. 2001;(13):1192–1193. [Google Scholar]
  • 68.Westover EJ, Covey DF, Brockman HL, Brown RE, Pike LJ. Cholesterol depletion results in site-specific increases in epidermal growth factor receptor phosphorylation due to membrane level effects: Studies with cholesterol enantiomers. J Biol Chem. 2003;278(51):51125–51133. doi: 10.1074/jbc.M304332200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Westover EJ, Covey DF. The enantiomer of cholesterol. J Membr Biol. 2004;202(2):61–72. doi: 10.1007/s00232-004-0714-7. [DOI] [PubMed] [Google Scholar]
  • 70.Lysko GS, Robinson JL, Casto R, Ferrone RA. The stereospecific effects of isoflurane isomers in vivo. Eur J Pharmacol. 1994;263(1-2):25–29. doi: 10.1016/0014-2999(94)90519-3. [DOI] [PubMed] [Google Scholar]
  • 71.Dickinson R, White I, Lieb WR, Franks NP. Stereoselective loss of righting reflex in rats by isoflurane. Anesthesiology. 2000;93(3):837–843. doi: 10.1097/00000542-200009000-00035. [DOI] [PubMed] [Google Scholar]
  • 72.Won A, et al. Chirality in anesthesia I: Minimum alveolar concentration of secondary alcohol enantiomers. Anesth Analg. 2006;103(1):81–84. doi: 10.1213/01.ane.0000217199.90426.7d. [DOI] [PubMed] [Google Scholar]
  • 73.Campagna JA, Miller KW, Forman SA. Mechanisms of actions of inhaled anesthetics. N Engl J Med. 2003;348(21):2110–2124. doi: 10.1056/NEJMra021261. [DOI] [PubMed] [Google Scholar]
  • 74.Weinrich M, et al. Halothane changes the domain structure of a binary lipid membrane. Langmuir. 2012;28(10):4723–4728. doi: 10.1021/la204317k. [DOI] [PMC free article] [PubMed] [Google Scholar]

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