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Review
. 2011 Apr 1;3(4):a004630.
doi: 10.1101/cshperspect.a004630.

Phase separation in lipid membranes

Affiliations
Review

Phase separation in lipid membranes

Frederick A Heberle et al. Cold Spring Harb Perspect Biol. .

Abstract

Cell membranes show complex behavior, in part because of the large number of different components that interact with each other in different ways. One aspect of this complex behavior is lateral organization of components on a range of spatial scales. We found that lipid-only mixtures can model the range of size scales, from approximately 2 nm up to microns. Furthermore, the size of compositional heterogeneities can be controlled entirely by lipid composition for mixtures such as 1,2-distearoyl-sn-glycero-3-phosphocholine (DSPC)/1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC)/1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC)/cholesterol or sphingomyelin (SM)/DOPC/POPC/cholesterol. In one region of special interest, because of its connection to cell membrane rafts, nanometer-scale domains of liquid-disordered phase and liquid-ordered phase coexist over a wide range of compositions.

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Figures

Figure 1.
Figure 1.
Lattice snapshots for Monte Carlo simulations of binary mixtures with different pairwise interaction energy ΔEm. (A) A random mixture (ΔEm = 0) is characterized by groupings of 3 to 5 lipids. (B) An unfavorable interaction of ΔEm = 0.4 kT results in clusters of 10 to 20 lipids, or a domain size of ∼3 nm. (C) At ΔEm = 0.5 kT the system is close to phase separation. An enlargement of the snapshot (F) reveals large clusters composed of hundreds of lipids. (D) At ΔEm = 0.55 kT the clusters coalesce, indicating a phase transition. (E) ΔEm = 0.6 kT. The phase-separated mixture is characterized by a single domain of each phase.
Figure 2.
Figure 2.
Lattice snapshots for Monte Carlo simulations of ternary mixtures. (E) An equimolar binary α/β mixture with an unfavorable pairwise interaction energy ΔEαβ = 0.8kT is characterized by coexistence of α-rich and β-rich phases. (AD) Although maintaining the ratio of components α and β, a third component, γ (which could be cholesterol), is added that interacts favorably with both α and β (ΔEαγ =−0.8 kT, ΔEβγ =−1.2 kT). (D) At χγ = 0.20, large clusters of β within the α-rich phase (and vice versa) are evident. (C) Long-range structure is broken up at χγ = 0.25. An enlargement of the snapshot (F) shows clusters of hundreds of lipids, and the uneven distribution of component γ (gray) between α-rich (white) and β-rich (black) clusters. Further addition of component γ reduces the size of clusters. (B) Snapshot for χγ = 0.30 and (A) χγ = 0.35.
Figure 3.
Figure 3.
Illustrative phase diagram for a ternary lipid mixture containing low- and high-melting temperature lipids and cholesterol. Tielines are shown in phase-coexistence regions, and the Ld + Lo critical point is marked with a star. The effect of cholesterol addition to Ld (arrow 1), Lβ (arrow 3), or phase-separated Ld + Lβ mixtures (arrow 2) is discussed in the text.
Figure 4.
Figure 4.
ESR reveals similarity of macroscopic and nanoscopic phase properties. Compositional trajectories run in the approximate direction of Ld + Lo tielines (see Fig. 3) and differ only in the identity of the low-TM lipid. Composition-dependent order parameters obtained from ESR spectral simulations in DSPC/DOPC/chol (triangles) and DSPC/POPC/chol (circles).
Figure 5.
Figure 5.
Confocal microscopy of giant unilamellar vesicles reveals interesting domain morphology in a four-component mixture that is intermediate in size between the smallest nanoscopic domains of DSPC/POPC/chol and the macroscopic domains of DSPC/DOPC/chol. Vesicle composition DSPC/DOPC/POPC/chol = 45/4.5/25.5/25. Scale bar 10 microns.

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