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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Biochemistry. Author manuscript; available in PMC 2006 April 17.
Published in final edited form as:
PMCID: PMC1440485
NIHMSID: NIHMS2796

LIGAND MODULATION OF GPCR LATERAL SEGREGATION INTO LIPID MICRODOMAINS IN SPHINGOMYELIN/PHOSPHATIDYLCHOLINE SOLID-SUPPORTED BILAYERS

Abstract

Increasing evidence supports the idea that the plasma membrane bilayer is characterized by a laterally inhomogeneous mixture of lipids, having an organized structure in which lipid molecules segregate into small domains or patches. Such microdomains are characterized by high contents of sphingolipids that form thicker liquid-ordered regions having resistance to extraction with nonionic detergents. The existence of lipid lateral segregation has been demonstrated in both model and biological membranes, although its role in protein sorting and membrane function still remains unclear. In the present studies, plasmon-waveguide resonance (PWR) spectroscopy was employed to investigate the properties of microdomains in a model system consisting of a solid-supported lipid bilayer composed of a 1:1 mixture of palmitoyloleoylphosphatidylcholine (POPC) and brain sphingomyelin (SM), and their influence on the partitioning and functioning of the human delta opioid receptor (hDOR; a G-protein coupled receptor, GPCR). Resonance signals corresponding to two microdomains (POPC-rich and SM-rich) were observed in such bilayers, and the sorting of the receptor into each domain was highly dependent on the type of ligand that was bound. When no ligand was bound, the receptor incorporated preferentially into the POPC-rich domain; when an agonist or an antagonist was bound, the receptor incorporated preferentially into the SM-rich component, although with a two-fold greater propensity for this microdomain in the case of the agonist. G-protein binding to the agonist-bound receptor in the SM-rich domain occurred with a 30-fold higher affinity than to the receptor in the PC-rich domain. The binding of agonist to an unliganded receptor in the bilayer produced receptor trafficking from the PC-rich into the SM-rich component. Since the SM-rich domain is thicker than the PC-rich domain, and previous studies with the hDOR have shown that the receptor elongates upon agonist-activation, we propose that hydrophobic matching between the receptor and the lipid is a driving force for receptor trafficking to the SM-rich component.

Keywords: microenvironmental effects, G-protein binding and activation, phospholipids, sphingolipids, protein sorting

For the last three decades the fluid mosaic model of Singer and Nicholson (1) has provided the foundation for the understanding of membrane structure. According to this model, membranes are viewed as laterally homogeneous lipid assemblies where the bilayer functions as a non-interacting two-dimensional solvent, having little influence on membrane protein function. During the last decade, evidence has accumulated indicating that lateral segregation into lipid microdomains exists in membranes (see 2 for a review). Microdomain formation occurs by spontaneous aggregation of certain naturally occurring lipids that spontaneously aggregate in the plane of the membrane driven solely by distinctive intermolecular interactions, including van der Waals forces between the long, largely saturated chains of sphingomyelin and glycosphingolipids, as well as hydrogen bonding between adjacent glycosyl moieties (3). Operationally, lipid laterally segregated microdomains have been defined by their insolubility in nonionic detergents at 4°C, and by a light buoyant density on sucrose gradients (3, 4). Microdomains are also characterized by a higher degree of molecular order (induced by the presence of saturated fatty acyl chains and sometimes cholesterol), and by being thicker than the surrounding liquid-disordered lipids in the membrane.

Different methodologies have been used to investigate lipid microdomains, both in vivo and employing model membranes, such as non-ionic detergent extraction at low temperatures, cholesterol depletion, and direct observation by different microscopic and spectroscopic methods (AFM, FRET, FRAP, FCS, SPT, etc.; see 3 and 5 for a review). Depending on the method employed and whether model membranes or cells were studied, results on the size, lifetime and composition of microdomains are diverse and controversial. Apart from these controversies, there is common agreement on the existence of microdomains in model membranes that form spontaneously in mixtures of SM and unsaturated phospholipids such as DOPC and POPC, in both the presence and absence of cholesterol (2).

One of the most important roles of lipid microdomains at the cell surface may be their function in signal transduction. Given the overall low abundance of key signaling molecules in cells, one way to account for the rapid response characteristic of signal transduction is that cells concentrate signaling molecules in membrane microdomains. Such domains could be viewed as platforms that serve to localize the requisite components, facilitating their interaction and supporting signaling. In this view, a given receptor and its effector molecules would be localized in a single microdomain. Activation by the hormone signal would lead to a rapid and efficient signal transduction due to the close proximity of the interacting partners. Specificity of the signaling could be enhanced by receptor restriction to a particular domain containing a different subset of signaling partners. In another view, complementary components of a signaling pathway would be segregated into different domains under basal conditions, and following activation those components could be joined by domain fusion. Alternatively, domains could contain nearly complete signaling pathways that would be activated when a receptor or another molecule is recruited into the microdomain, promoting interaction and leading to signaling. Microdomains could provide more specificity and diversity in the signaling cascade by providing compartmentalization to the different components involved or by modulating the intrinsic activities of the proteins located therein. The relative biological importance of these various mechanisms remains to be elucidated.

Under basal conditions, some GPCRs are almost exclusively located in microdomains (e.g. more than 90% of the gonadotrophin-releasing hormone receptor (6)), whereas others are present in a small amount (e.g. <10% of the oxytocin receptor (7, 8)). In other cases, the localization of GPCRs to lipid microdomains is modulated by ligand binding (for reviews see 9, 10). For the β2-adrenergic receptor (11) and the adenosine A1 receptor (12), treatment with agonist causes translocation of the cognate receptor out of lipid microdomains. By contrast, the angiotensin II type receptor (13), the muscarinic receptor (14) and the bradykinin B1 and B2 receptors (15-17) are targeted to microdomains upon activation by agonist. Others, such as the endothelin receptor are apparently unaffected by agonist binding (18). However, the functional significance of agonist-induced receptor localization has not been demonstrated. It is possible that ligand-induced movement of receptor into lipid microdomains may promote receptor association with G-proteins or effector enzymes that are enriched in this compartment. Since laterally segregated membrane regions are involved in endocytosis, the sequestration of receptor into those domains may be involved in desensitization via removal from the cell surface.

Another issue is hydrophobic matching involving the length of the transmembrane domains of the protein, because a liquid-ordered bilayer is thicker than a liquid-disordered one. These parameters play a role in protein sorting to the cell surface (19, 20). However, how precisely the transmembrane domains need to be matched with the thickness of the bilayer is an open issue. So far, no detailed analysis has been carried out to find out how transmembrane proteins having different transmembrane domain lengths partition into the different domains.

In the present work we have investigated the partitioning of a GPCR (i.e. the human delta-opioid receptor, hDOR) between PC-rich and SM-rich domains in a model system consisting of solid-supported lipid bilayers, and the resulting effects of the microenvironmental differences on G-protein binding affinity and activation. This receptor belongs to family A of GPCRs and is involved in a plethora of biological events such as analgesia, locomotive activity, blood pressure, gastrointestinal motility, learning and memory (21). It should be mentioned that the hDOR is mainly located in the spinal cord and in the brain, areas whose membranes are very rich in unsaturated lipids and sphingolipids, and thus have the potential for microdomain formation. This receptor has been the subject of interest in our laboratories over the last several years, and we have investigated ligand-induced conformational changes and receptor-G protein interactions using plasmon-waveguide resonance (PWR) spectroscopy (22, 23).

We have also used PWR spectroscopy to examine solid-supported lipid bilayers consisting of pure lipids (DOPC, POPC and SM), and PC:SM binary mixtures (24). We have shown that a single lipid bilayer formed from the PC:SM mixture consists of microdomains enriched in the SM component, coexisting with PC-rich domains, whose different optical properties allow observation of separate resonances in a PWR experiment. These are formed spontaneously over time as a consequence of lateral phase separation. The uniqueness of the PWR technique is that it allows the mass and structural characteristics of a lipid membrane to be determined for a single bilayer in both steady-state and kinetic modes. Unlike other techniques for domain visualization, PWR can also provide insights into microenvironmental effects on protein functional properties (23) in model systems that simulate a natural lipid bilayer. Simulation of the PWR spectra allowed the deconvolution of the complex spectra of the binary mixtures into single resonance spectra corresponding to the two microdomains. Comparison of the spectra of the mixtures with those of the pure lipids has shown that the resonance occurring at smaller angles is due to a microdomain containing mainly PC molecules, with a small admixture of SM (PC-rich component), whereas the higher angle resonance consists predominantly of a microdomain composed of SM molecules, with a small admixture of PC (SM-rich component). The ability to resolve resonances corresponding to these bilayer regions is due to their differing microstructure and optical properties, with the PC areas less well ordered, less tightly packed and thinner than the SM areas as a consequence of the presence of unsaturated fatty acyl chains.

In the present study, the partitioning of the hDOR between the two domains (PCand SM-rich domains) that form spontaneously in a POPC:SM (1:1) bilayer was directly determined by comparing the spectral shifts obtained for each resonance upon receptor insertion, and the amount of receptor in each microdomain was quantified by spectral simulation. The partitioning of the receptor between the two domains was found to be highly dependent on the type of ligand that was bound to the receptor. Binding of agonist to the unliganded receptor in the POPC:SM lipid bilayer resulted in receptor trafficking from the PC-rich to the SM-rich domain. We have also measured the binding affinities of G-protein to each of these receptor populations and have shown that the affinity for the agonist-bound hDOR in the SM-rich domain was 30-fold higher than for receptor in the PC-rich domain.

Experimental Procedures

Plasmon-waveguide resonance (PWR) spectroscopy

PWR spectra are produced by resonance excitation of conduction electron oscillations (plasmons) by light from a polarized CW laser (He-Ne; wavelength 632.8 or 543.5 nm) incident on the back surface of a thin metal film (Ag) deposited on a glass prism and overcoated by a layer of SiO2 [see 25-28 for additional information]. Spectra were obtained with a Proterion Corp. (Piscataway, NJ) instrument that had 1 mdeg spectral resolution. The sample to be analysed (a lipid bilayer membrane) was immobilized on the resonator surface and placed in contact with an aqueous medium, into which proteins and ligands can be introduced. The deposited analyte molecules change the resonance characteristics of plasmon formation and can thereby be detected and characterized. PWR spectra, corresponding to plots of reflected light intensity vs. incident angle, can be excited with light whose electric vector is either parallel or perpendicular to the plane of the resonator surface (s- and p-polarization, respectively). This allows the anisotropy of the two refractive index values (ns and np), as well as the sample thickness (t), to be determined, thus providing information about changes in mass density, structural asymmetry and molecular orientation induced by biomolecular interactions occurring at the resonator surface.

PWR spectral simulation

The purpose of this procedure is to simulate a PWR spectrum consisting of more than one resonance by a superposition of single resonance curves that have been obtained from bilayers composed of single lipid components (cf. 24 for details). The simulation has been done in two steps. First, the single component bilayer spectra were fitted by theoretical resonance curves obtained from Maxwell's equations applied to thin films, which provide an analytical relationship between the experimental spectral parameters and the optical properties of the bilayer (refractive index, n, extinction coefficient, k, and thickness, t). This allows evaluation of the optical parameters, with an error estimated to be about ± 3% (cf. also 22, 25, 26, 28). In the second step, the complex spectrum obtained from the bilayer formed from binary lipid mixtures was deconvoluted into a sum of single component spectra. This deconvolution process starts with the single resonance optical parameters that resulted from the first step, and incorporates variation of these parameters to finally fit the complex spectrum. It is important to note that the same set of optical parameters will result in a different spectrum if applied to a different PWR sensor. This is why for different sensors there will be differences in spectra even for the same (or very similar) lipid membranes. The simulation process provides information about how much the single component resonance is modified in the binary lipid mixture, and also about the ratio of the bilayer surfaces that are covered by the different kinds of membrane microdomains exposed to the laser excitation beam.

In the present case, the spectra of membranes formed from a single lipid (i.e. POPC and SM) were used as a starting point for spectral simulation of membranes consisting of mixtures of these components. These single component PWR spectra are distinctively different in both their position and shape due to differences in the optical properties of the bilayer membrane, which are determined by the surface mass density (i.e. mass per unit surface area), the mass distribution (i.e. the internal structure of the membrane, including molecular anisotropy and the long range molecular order of the bilayer), the membrane thickness, and the absorption or light scattering properties of the membrane at the plasmon excitation wavelength.

As we will demonstrate below, the PWR spectra of such binary lipid mixtures consist of the superposition of resonances corresponding to two lipid microdomains (POPC-rich and SM-rich) coexisting within the bilayer membrane. Iteration of such simulation was performed by variation of the optical parameters of the appropriate single lipid component spectrum until satisfactory agreement with the experimental spectra was obtained. The final deconvoluted component spectra that describe the separate microdomains were slightly different from those of the single component curves, indicating that each of the separate phases contained small amounts of the other lipid. Spectral simulation has also been used to determine the mass density of lipid bilayers containing incorporated protein molecules, thereby allowing the evaluation of the sorting of such proteins into the separate microdomains.

Receptor purification and characterization

A fully functional hDOR, labeled at the C-terminus with a myc-epitope and histag, was stably transfected into a Chinese hamster ovary cell line (CHO-K1) and the modified receptor purified by metal chelating and ligand affinity chromatography and characterized (29, 30). For the studies in which the receptor was pre-bound with ligand, the hDOR was pre-incubated with saturating amounts (at least one order of magnitude higher concentration than published binding affinities) of ligand, using a peptide agonist, DPDPE (American Peptide Company, CA), a non-peptide agonist, SNC80 (Tocris Inc., Elisville, MO), and an antagonist (NTI, Sigma). The receptor was incubated with the respective ligand for 1-2 h at 4°C prior to incorporation into the PWR cell that contained a previously deposited lipid bilayer on the resonator surface. The concentration of the solubilized receptor was determined using a BCA (bicinchoninic acid) assay (Pierce). The purple reaction product was monitored at 560 nm using an ELISA plate reader (μ Quant, Bio-Tek Instruments, Inc). Following purification, the quality of the receptor protein was assessed by determining the specific activity, i.e. the moles of functional receptor molecules (measured by ligand binding) per mole of receptor protein. This was performed by a radiolabel competition assay using [3H]naltrindole (Perkin Elmer) to a final concentration of about 0.1 nM DPDPE with concentrations ranging from 10−3 to 10−9M. Details of the methodology used have been previously published (30).

Lipid bilayer formation

A solid-supported lipid membrane was assembled as previously described (22, 25), using the same principles that govern the spontaneous formation of a freely suspended lipid bilayer membrane across a small orifice in a Teflon sheet that separates two aqueous compartments, the so-called black lipid membrane (31). Such a bilayer is anchored to the orifice by an annulus of lipid solution (the Gibbs border) that allows lipid molecules to move into and out of the bilayer in response to protein insertion and/or conformation changes. The lipid films were formed on the hydrated silica surface of the PWR resonator from the following membrane-forming solutions: 10 mg/mL palmitoyloleoylposphatidylcholine (POPC) and brain sphingomyelin (SM) (1:1 mole ratio) (Avanti Polar Lipids, AL) in squalene/butanol (0.1:10 v/v). The buffer solution used in the PWR sample cell was 10 mM Tris-Cl containing 10 mM KCl and 0.5 mM EDTA at pH 7.4 (total cell volume approx. 1 ml).

hDOR incorporation by detergent dilution and G-protein addition

The incorporation of the receptor into the lipid bilayer was accomplished by introducing the detergent-solubilized (30 mM octylglucoside-containing buffer) hDOR (pre-bound with the ligand under investigation when noted) into the aqueous compartment under conditions that dilute the detergent to below the critical micelle concentration (cmc), which allows the membrane protein to spontaneously incorporate into the lipid bilayer. We have done appropriate control experiments that show that, at the concentrations used, octylglucoside does not perturb the deposited lipid bilayer (not shown). In order to make sure that all receptor molecules had ligand bound before adding the receptor to the PWR cell sample, we have added that same ligand to the sample compartment at a concentration above the KD value for that ligand. In these experiments we only have access to the side of the lipid bilayer facing the aqueous compartment (i.e. no direct access is available to the side of the lipid bilayer facing the silica surface of the prism), and we think that neither the G-protein nor most ligands are able to cross the bilayer. However, because binding to both the G-proteins and ligands can occur after receptor incorporation (processes that are known to occur in opposite faces of the receptor), it appears that the receptor inserts bi-directionally into the lipid bilayer, i.e. with the extracellular side facing both the silica surface and the aqueous compartment. Since we were also interested in studying the ternary complex, i.e. ligand, receptor, G-protein, we have accomplished this, as we have done previously (30), by pre-binding the receptor with the ligand before incorporation into the lipid bilayer. In this way, some of the ligand-bound receptors will have their G-protein binding sites accessible to the external aqueous medium. Small aliquots of the Gα-protein subtypes found in brain tissue, where this receptor is found, namely G, Giα1, Giα2 and Giα3, and the βγ subunit complex (a mixture of the different βγ subtypes present in brain) (Calbiochem) were incrementally added to the equilibrated proteolipid system (1:1 ratio of the α subunit to βγ dimer). After saturation was reached, GTPγS (Sigma) was added and the PWR spectral changes monitored.

It should also be noted that in these experiments, we do not directly determine the concentrations of receptor and G-protein in the PWR cell. Affinities are obtained from the PWR spectral changes that occur due to mass increases in the proteolipid system upon incremental addition of G-protein to the cell. Since PWR is only sensitive to the optical properties of material that is deposited on the resonator surface, there is no interference from the material that is in the bulk solution. Furthermore, in titrations with G-proteins or with other ligands added to the sample cell, the amount of material bound is quite small compared to the amount present in the bulk solution, and it is assumed that the bulk material is able to freely diffuse and equilibrate with the membrane. Thus, since the spectral changes are proportional to the amount of G-protein bound to the receptor, plots of spectral shifts vs. bulk G-protein (or ligand) concentration allow a direct determination of dissociation constants. In other words, a hyperbolic saturation curve corresponds to a plot of the total G-protein (or ligand) added to the aqueous compartment vs. the amount bound, and fitting the experimental data to such a curve provides a value for KD.

Results and Discussion

Previous studies from our laboratories have demonstrated the successful reconstitution of the human delta opioid receptor (hDOR) into solid-supported lipid bilayers on the sensor surface of a plasmon-waveguide resonance (PWR) spectrometer (22, 30). In those studies we have shown that the incorporation of the hDOR into the lipid bilayer produces shifts to higher incident angles in the resonance for both p- and s- polarized light. The increase in the resonance angle has been attributed mainly to an increase in the refractive index (correlated with a mass increase) produced by receptor insertion in the bilayer. We have also shown that the receptor can incorporate bi-directionally into the bilayer, i.e. with either the C-terminus or N-terminus facing the aqueous compartment of the PWR cell sample, and that it is uniaxially incorporated into the bilayer with the proper orientation. The first conclusion is based upon the fact that both ligands and G-proteins are able to bind to the incorporated receptor. The latter conclusion derives from the fact that receptor incorporation produces larger spectral shifts for p-polarization than for s-polarization (indicating refractive index changes in the p-direction, i.e. perpendicular to the plane of the bilayer, that were larger than for the s-direction), which is a consequence of the anisotropic structure (i.e. cylindrical shape) of the receptor molecules. This demonstrates that the receptor has its long axis oriented perpendicular to the bilayer and the shorter axis parallel to the bilayer.

Incorporation of the agonist-bound (DPDPE) hDOR in a POPC:SM (1:1) bilayer

Fig. 1 shows typical PWR spectra obtained with either p-polarized (panels A, B, and C), or s-polarized (panels D, E, and F) exciting light for a solid-supported lipid membrane before (panels A and D, curves 1) and after addition of detergent-solubilized receptor (~ 10 nM, final concentration in the sample cell) to the aqueous compartment in the sample cell (panels A and D, curves 2). As curves 1 show, in both polarization cases the resonance spectrum contains shoulders indicating that more than one resonance is occurring within the experimental angular range. This has been observed previously for both DOPC:SM and POPC:SM bilayers (24). This more complex spectrum results from the superposition of two individual resonances, which indicates the presence of lateral phase separation in this lipid mixture. As mentioned above, various spectroscopic studies have shown that phase separation can occur in binary lipid mixtures composed of lipids that have different phase transition temperatures. This process occurs spontaneously and requires only lipid-lipid interactions leading to the formation of microdomains. These are characterized by tightly packed lipids with limited lateral mobility that coexist with a liquid-disordered phase in which lipids are more fluid and with a higher degree of lateral mobility (32-34). As discussed above the analysis of this type of PWR spectrum requires the deconvolution of the experimental curves into single resonance spectra. Examples of such deconvolution are shown in Fig. 1, panels B and E. The structural parameters of the microdomains obtained from these simulations, averaged for three separate experiments performed with POPC:SM (1:1) bilayers, were as follows. For the lower angle component, a thickness of 5.4 ± 0.1 nm and a surface area per molecule of 0.49 ± 0.01 nm2, whereas for the higher angle component, a thickness of 6.0 ± 0.1 nm and a surface area per molecule of 0.41 ± 0.01 nm2, were obtained. Thus, the latter component is thicker and more densely packed than the former. These values can be compared with a thickness of 5.4 nm and a surface area per molecule of 0.48 nm2 for a pure POPC bilayer, and a thickness of 6.1 nm and a surface area per molecule of 0.39 nm2 for a pure SM bilayer (24), clearly indicating that the lower angle component can be attributed to the POPC-rich phase and the higher angle component to the SM-rich phase, as previously concluded.

Figure 1
PWR spectra obtained for a solid-supported lipid bilayer containing a 1:1 mixture of POPC and SM (panels A,D, curves 1) and for the incorporation of agonist (DPDPE)-bound hDOR (~10 nM, final concentration in the sample cell) into the lipid bilayer ...

The size of the microdomains can be evaluated from the lateral resolution of the PWR sensor used in this work. In general, the lateral resolution size of optically homogeneous areas in a sample, as detected by PWR spectroscopy, is in the μm range. The specific value will depend on the properties of the sensor that produces the surface-bound waves. In this context, one of the most important characteristics of such surface plasmon waves is that they propagate along a lossy interface, which results in a finite propagation length. A qualitative explanation of the relationship between the propagation length of the surface plasmon wave and the lateral resolution is based on the fact that the resonance will reflect the overall effective index of refraction integrated over the evanescent field. Therefore, if the surface architecture features are comparable to or smaller than the propagation length one will see distinct resonances coming from such features. On the other hand, if the surface features are much smaller than the propagation length then the optical refractive index will be averaged resulting in one resonance with average values of the optical parameters. Furthermore, scattering effects will occur resulting in significant broadening of the resonance. The PWR sensor employed in this work creates surface-bound waves with a propagation length of about 70 μm for green light (λ=543.5 nm) and 350 μm for red light (λ=632.8 nm) excitation. We estimate from this that the smallest size of microdomains observable with this sensor will be around 20 μm (measured with green light). However, as the data demonstrate, the resonances obtained with the two microdomains are reasonably well separated, clearly indicating that the microdomain size observed in this work is significantly larger than 20 μm. Furthermore, we have been able to observe good separation between the two resonances using red light excitation (data not shown), which indicates that the microdomain size is probably in the range of 100 – 300 μm.

Insertion of the agonist-bound hDOR resulted in the spectra shown in curves 2 in Fig. 1 (panels A and D). As can be seen from these spectra, incorporation of protein influenced both the main maximum and the shoulder in both p- and s- polarizations, thereby changing the overall shape of the spectrum. Such spectral modifications are due both to mass density changes and to structural alterations of the proteolipid membrane. Larger shifts were obtained for the SM-rich than for the PC-rich domain upon receptor-agonist incorporation into the bilayer. This can be more easily observed in the case of the s-polarization spectra (panel D), which are more sensitive to lateral lipid and protein segregation.

In order to quantify these changes, it is again necessary to deconvolute the complex experimental spectrum into single component spectra corresponding to the two lipid microdomains that exist within the bilayer (i.e. POPC-rich and SM-rich). From these component spectra it is then possible to calculate the mass and anisotropy changes that occur as a consequence of incorporating various liganded forms of the receptor into the microdomains. It is important to note that the present studies are primarily focused on the distribution of the receptor within the bilayer, without evaluating the structural consequences of either receptor insertion or ligand binding. Because of this we will not consider refractive index anisotropy in our discussion.

The evaluation of protein distribution within the bilayer is complicated by the fact that the amount of protein incorporated varied somewhat in individual experiments. Therefore, it is necessary to normalize the mass changes. This can be done by taking the difference between the mass changes in the two microdomains and dividing by the total mass changes in both domains, according to the following equation:

equation M1
(1)

where ΔmSM=mSM(BLM+protein) - mSM(BLM) and ΔmPC =mPC (BLM+protein)– mPC(BLM). In this equation, the subscripts (BLM) and (BLM + protein) denote the total mass in each microdomain before and after protein incorporation. In this way one is able to calculate a normalized protein redistribution, which quantifies the redistribution of protein between the microdomains calculated per unit total mass change. Note that that such a definition of normalized protein redistribution indicates that three characteristic types of protein mass changes can occur. First, when ΔmSM = ΔmPC there is no difference between incorporation into the microdomains and the result of eq. 1 is zero. Second, if ΔmSM >ΔmPC, then more hDOR is incorporated into the SM-rich phase than into the POPC-rich phase and eq. 1 yields a positive value. Third, if ΔmSM < ΔmPC, eq. 1 yields a negative value meaning more protein is inserted into the POPC-rich phase than into the SM-rich phase. The magnitudes of the values allow comparison of the extent of mass redistribution.

Table 1 shows the normalized protein redistribution values calculated for the agonist-bound receptor from the simulations given in Figure 1 (panels B, C, E, F). As can be seen from these values, the incorporation of the agonist-bound receptor yields a positive value, indicating that the receptor prefers the SM-rich environment as compared to the POPC-rich microdomain. It should be pointed out that studies performed with another delta opioid agonist, SNC80, also gave similar results, with a preferential partitioning of the receptor into the SM-rich phase (data not shown).

Table 1
Normalized protein redistribution between SM and POPC microdomains for the hDOR incorporated into a lipid membrane formed from a mixture of POPC:SM (1:1).

Previous studies have been directed towards investigating the effect of agonist on the partitioning of receptors between microdomains (9, 10) and the results reported were very diverse. Thus, some receptors such as the β2-adrenergic (11) and the adenosine A1 (12) were found to move out of microdomains upon agonist activation, whereas others such as the angiotensin II type 1 (13), the m2 muscarinic cholinergic receptor (14) and bradykinin 1 and 2 receptors (15-17) were found to move into microdomains upon agonist treatment. The localization of others, such as rhodopsin (35) and the β1-adrenergic receptor (11), were unaffected by activation. Since these studies were performed with different techniques and were not performed with model membranes, it is difficult to provide a direct correlation with the present experiments. Inasmuch as different results were obtained with receptors belonging to the same GPCR class, it seems that the response to agonist in term of receptor partitioning between domains is not related to the GPCR class to which the receptor belongs. The sorting behaviour observed by the different receptors upon agonist stimulation in whole cell studies may involve the initiation of the signalling response by the differential partitioning of the several elements of the signalling cascade in the domains, or it could be related to the mechanism of desensitization and internalization observed in most GPCRs after agonist treatment. To our knowledge the studies presented here are the first ones with the delta-opioid system, although studies have been performed with the mu-opioid receptor in which agonist treatment was found to lead to a decrease in the diffusion coefficient of this receptor with colocalization in clathrin-rich regions (L. Salomé, personal communication).

As extensive literature has shown that detergents affect the existence of domains in lipid bilayers, and detergent was included in the solubilized receptor solution that was added to the system, a control experiment was performed in which similar amounts of octylglucoside were added to the POPC:SM (1:1) bilayer in the absence of receptor. No spectral changes were observed upon the addition of octylglucoside in concentrations (0.5-1 mM) comparable to the ones used in the experiment with receptor (data not shown). We thus conclude that detergent effects on the spectra shown in Figure 1 (as well as in the subsequent experiments) were absent.

Incorporation of the unliganded hDOR in a POPC:SM (1:1) bilayer

Figure 2A and B show PWR spectra obtained with a POPC:SM (1:1) lipid membrane in the absence of incorporated hDOR, with overlapping spectra due to the two types of microdomains discussed above, before (curves 1) and after (curves 2) incorporating unliganded receptor. A qualitative comparison of these results with those presented in Figure 1A and D shows significant differences in the spectral characteristics of the initial bilayer spectra. These differences in spectral shape can be explained by different contributions of each type of microdomain to the experimental spectrum, caused by the heterogeneous nature of the surface area of the bilayer probed by the exciting light. This heterogeneity varies from experiment to experiment. However, as we have shown previously (24), this does not affect the properties of the individual microdomains obtained by the deconvolution process.

Figure 2
PWR spectra obtained for a solid-supported lipid bilayer containing a 1:1 mixture of POPC and SM (panels A,B, curves 1) and for the incorporation of unliganded hDOR into the lipid bilayer (~10 nM, final concentration in the sample cell) (panels ...

There are also significant differences between Figures Figures11 and and22 regarding the shift of the spectra as a result of receptor incorporation. As noted above, in the case of the agonist-bound receptor the higher-angle shoulder (i.e., the SM-rich phase) is shifted more than the main portion of the spectrum (i.e. the PC-rich phase) towards larger angles. In the case of unliganded receptor incorporation, the opposite is true, i.e. the main spectrum is shifted more than the shoulder towards the higher angles. This observation is clearly supported by the quantitative analysis of the normalized protein redistribution presented in Table 1. This demonstrates that more receptor is inserted into the PC-rich phase than into the SM-rich microdomain (i.e. the value is negative).

Incorporation of the antagonist-bound (naltrindole) hDOR in a POPC:SM (1:1) bilayer

As can be seen from both Figure 3 and Table 1 the incorporation of hDOR bound to the antagonist, naltrindole, leads to partitioning of the receptor in larger amounts into the SM-rich domain than into the PC-rich phase. However, the difference between the protein incorporation into the two domains is smaller than was the case with the agonist-bound receptor (i.e. a smaller positive value is obtained, cf. Table 1). Note also that the spectral properties of the bilayer are again different from those shown in Figures Figures11 and and2,2, for the reason noted above.

Figure 3
PWR spectra obtained for the supported lipid bilayer containing a 1:1 mixture of POPC and SM (panels A,B, curves 1) and for the incorporation of antagonist (NTI)-bound hDOR into the lipid bilayer (panels A,B, curves 2) obtained with 543.5 nm (green) exciting ...

Previous studies performed in our laboratory using PWR point to the fact that the opioid receptor adopts different conformations upon binding of different classes of ligands (22). The different partitioning observed between the domains for the unliganded and for the agonist- vs. antagonist-bound receptor may therefore be related to the different structures induced by the ligands relative to the unliganded protein, where certain conformations may be favoured in one type of lipid microdomain over others. PWR and other studies involving the delta-opioid receptor (22) and rhodopsin, the GPCR prototype, have shown that the receptor elongates upon agonist and light activation (36). As demonstrated by our PWR results, as well as by AFM studies (37, 38), the SM-rich domain is thicker than the PC-rich domain, as a consequence of the presence of longer, largely saturated acyl chains. Since the agonist-activated receptor is more elongated than the unliganded or antagonist-bound receptor, implying a larger hydrophobic thickness, we hypothesize that hydrophobic matching between the receptor and the bilayer provides the basis for the different receptor partitioning in each case. Thus, the unliganded receptor, having a less elongated structure, would prefer the PC-rich microenvironment with its shorter hydrophobic length. Lipid mismatch and consequent lateral lipid phase separation has been observed as a result of varying the chain length of lipids and the concept of hydrophobic mismatching has also been applied to lipid-protein interactions (20, 39-42). This hypothesis can also explain the higher amounts of antagonist-bound receptor incorporated into the SM- rich phase as compared to the unliganded receptor. As we have demonstrated previously (22), binding of antagonist results in receptor conformation changes leading to a more parallel orientation of the transmembrane helices (i.e. a higher degree of refractive index anisotropy). This will also increase the hydrophobic length of the protein (although perhaps less so than protein elongation), which would again lead to more preferable redistribution of the antagonist-bound receptor to the SM-rich microdomain. It should be pointed out, however, that hydrophobic matching is not the only possible contribution to the results. This is discussed in more detail below.

Addition of agonist to the unliganded hDOR reconstituted into a POPC:SM (1:1) bilayer

We have also incorporated the receptor with no ligand bound into the bilayer and monitored spectral changes occurring upon the addition of the DPDPE agonist (similar results were obtained with SNC80) to the proteolipid system (Figure 4, panel A). The addition of agonist to the proteolipid system leads to enrichment of receptor in the SM-rich domain, as noted by the larger spectral changes observed in the part of the spectra attributed to the SM-rich domain (i.e. the larger angle side of the spectra). As can be seen by comparing these spectra to those shown in Figure 1D, the distribution of protein was approximately the same regardless of whether the ligand was bound before or after receptor incorporation into the bilayer. By monitoring the spectral changes as a function of time it was possible to determine the kinetics of the movement of receptor from PC-rich to SM-rich domains (Figure 4, Panel B), which is shown to occur with a halftime of approximately 10 minutes. We believe that the slow kinetics observed may partly be a consequence of the shearing forces in the receptor and lipids due to the interaction with the silica surface of the sensor and thus may not compare well with results observed in vivo. It is also possible that these kinetics may be influenced by the relatively large microdomain size in these bilayers. Furthermore, we cannot determine if the receptor is actually moving into an SM-rich microdomain, or whether the elongated receptor is recruiting SM molecules into its immediate environment; possibly both processes are occurring.

Figure 4
Time evolution of PWR spectra, obtained with s-polarized light, upon agonist (DPDPE) addition to the receptor when incorporated into a POPC:SM (1:1) lipid bilayer (panel A). Looking at the right shoulder, going from left to right the spectra represent ...

G-protein interaction with hDOR-agonist inserted into POPC:SM (1:1) bilayer

Previous studies performed in our laboratory have investigated G-protein-receptor interaction using this same PWR methodology, where affinities were obtained for different ligands bound to the receptor and different subtypes of G-proteins (23). Using the information obtained from these studies, we have investigated the effect of domain formation on the affinity of the Giα2-βγ (the α-subunit with the highest affinity for the DPDPE-hDOR) for the agonist-activated hDOR. As demonstrated in Figure 5 and Table 2, this G-protein subtype has a much higher affinity for the DPDPE-receptor inserted into the SM-rich domain (Kd = 0.6 nM) than the one present in the PC-rich domain (Kd = 19 nM). As can be seen in Table 2, the affinity of the Giα2-βγ subtype for the agonist-bound receptor is very much dependent on the lipid environment surrounding the receptor, having the greatest affinity for the receptor in an SM-rich domain and the least for a receptor in a pure POPC bilayer. Note also that the affinity is higher in the POPC-rich microdomain than in the pure POPC bilayer. Thus the presence of a small amount of SM in this domain facilitates G-protein binding. The affinity of GTPγS for the ligand-receptor-G protein complex was investigated by a strategy previously used (23) but no effects of lipid microenvironment were observed here (Table 2). Thus, as we have shown previously for the effects of ligand binding (23), G-protein binding and activation are influenced differently by variations in the properties of the receptor caused by environmental effects. We conclude that it is the ability of the receptor to achieve a high affinity G-protein conformational state that is being modulated by the microenvironment.

Figure 5
Binding curves obtained for G-protein interaction (G1α2-βγ) with the DPDPEliganded hDOR when reconstituted into a POPC:SM (1:1) bilayer obtained using p- (■) and s-polarized light (▲). Solid curves correspond to ...
Table 2
Interaction of G-protein (Giα2 + βγ) with DPDPE-hDOR and GTPγS interaction with ligand-receptor-G protein complex.

It is important to mention that a control experiment on the interaction of the G-protein with the POPC:SM (1:1) bilayer in the absence of receptor was performed by observing spectral changes upon incremental addition of G-protein. Very small shifts were observed for both polarizations (around 5 mdeg) with the data following a straight-line relation, as usually observed for non-specific interactions. Similar observations have been previously reported for the interaction of G-proteins with non-domain forming bilayers (23).

Contrasting results have been previously found regarding the partitioning of G-protein in lipid domains. Some experiments have reported that G-proteins are enriched in lipid microdomains, including Gs, Gi, Go, Gq and transducin (35, 43, 44), and their localization was proposed to be a result of the α subunit acylation (47), whereas others have shown that the presence of microdomains does not affect membrane partitioning of G-proteins (46). The present experiments show that the affinity of G-proteins for each domain is different only when the receptor is inserted into those domains. Thus, the differential partitioning of G-proteins into each domain, in our studies, seems to be promoted by the receptor itself and not by a preferential G-protein interaction with the microdomain. A possible mechanism is that the receptor adopts a slightly different conformation in each domain that may be more or less favourable for G-protein interaction.

Conclusions

The results obtained in these studies have confirmed earlier experimental evidence (2, 24) that spontaneous lateral segregation of lipids into microdomains occurs in solid-supported bilayers containing binary mixtures of POPC and sphingomyelin. Such segregation produces regions within the bilayer whose different optical properties allow observation of separate resonances in a PWR experiment. Furthermore, in the present work we have demonstrated a differential partitioning of the hDOR, a G-protein coupled receptor, between lipid microdomains that was highly dependent on the ligand-induced activation state of the receptor. These observations are consistent with earlier PWR results obtained with both rhodopsin (47) and the hDOR (22) using solid-supported membranes composed of single lipids that are known to form a laterally homogenous type of planar bilayer. In these earlier experiments it was demonstrated that the activation of both rhodopsin and the hDOR resulted in the formation of a new protein conformational state that induced structural alterations of the lipid microenvironment around the receptor, creating what may be thought of as a new microdomain within the original planar lipid bilayer structure. Thus, activation by agonist binding in the case of the hDOR, or by light in the case of rhodopsin, produced an elongation of the receptor molecule (i.e. an increase of the receptor dimension along its vertical axis), which was accompanied by movement of lipid molecules that caused both an overall increase in the degree of orientational order localized around the receptor (i.e. an increase in refractive index anisotropy), as well as an increase in the negative curvature of the lipid membrane surface in contact with the receptor. In contrast, the binding of antagonist to the hDOR resulted only in an increase in the refractive index anisotropy, which implies localized alterations occurring within the receptor molecule that are restricted to the transmembrane helices and to the lipid hydrocarbon chain orientation, without involving any protein elongation.

The present work has further proven the validity of such models by studies of receptor interaction with lipid microdomains of different structure and thickness created within a POPC:SM membrane. These results have shown that the sorting of the hDOR into each membrane domain was highly dependent on the type of ligand that was bound. Thus, the agonist-activated receptor had a higher affinity for the thicker and more ordered SM-rich microdomain (48) than either the inactive (unliganded) or antagonist-activated protein. Furthermore, the binding of agonist to an unliganded hDOR molecule in the bilayer produced receptor trafficking from the PC-rich into the SM-rich domain. This is consistent with the elongation of the receptor and the anisotropy increase postulated in the earlier work. The results also indicate that the new receptor conformation requires rearrangement of the lipid microenvironment around such an activated receptor. An appropriate microenvironment can either be induced by the new receptor structure, as we have demonstrated in the earlier studies (22), or the activated receptor can either move into another membrane phase, or reorganize the microenvironment around it, so as to better accommodate its structure, as we have shown in the present work.

There is however still an open question, i.e. what is the driving force for these two pathways of creating new lipid microenvironments after receptor activation? The obvious answer seems to be hydrophobic matching. However, there are other factors that may also play a role. Among these is the effect of alteration of the mechanical properties of the lipid membrane on the functioning of the receptor. One would expect that the changes in the lipid microenvironment result in alteration of the mechanical forces within the bilayer such as transbilayer pressure. It has been clearly demonstrated with some types of ion channels that the lateral or transmembrane pressure profile of the bilayer can control the conformational equilibrium of the protein (49). In this context, it is important to note that in the present work we have shown that the affinity of G-protein to the agonist-bound hDOR was modulated by the receptor location either inside or outside the SM-rich region, suggesting that this microenvironment promotes receptor conformations that are favorable for G-protein interaction. This is an example of the more general question of the role of lipid membrane structural and mechanical properties on membrane protein function that requires further study.

The presently available techniques for studying lipid microdomains are rife with methodological pitfalls and limitations and many studies utilize fairly indirect approaches, such as cholesterol depletion, which, if not carefully employed may lead to mistaken conclusions (10). Although in vivo studies are exceptionally important, their understanding is complicated by the presence of a large variety of microdomains in the bilayer and by the existence of cytoskeleton and other structuring organelles, which may also lead to protein compartmentalization, as well as by the presence of several proteins (e.g., receptors, caveolin, G-proteins, etc.), which may also be involved in the receptor partitioning and trafficking. In this respect the use of a model lipid membrane may be advantageous, allowing one to investigate a large range of lipid bilayer compositions in the presence or absence of particular proteins, thereby permitting one to focus on individual aspects of the signalling cascade. PWR technology, by allowing one to perform the above experiments in real time under physiological conditions of pH, concentration etc., should be of considerable use in the ongoing process of understanding the role of microdomains in signal transduction. It is important to note, however, that the present model membrane system differs from biological membranes in its lack of transverse lipid compositional asymmetry, and in the bi-directional insertion of the receptor (30). How this might influence the properties described here is unclear at present.

We should also note that the present experiments were performed without the inclusion of cholesterol into the bilayers. Although this lipid clearly plays a role in microdomain formation in bilayers (both in vivo and in vitro), the precise structural basis for this is presently unclear (50). We have indeed done PWR experiments with ternary lipid mixtures containing cholesterol and have found that the results are qualitatively similar to those we obtained with the binary systems (data not shown). Thus, it appears that the effects of cholesterol are subtle and will require a good deal of work to sort out. We plan to do this in future experiments.

Acknowledgments

This work was supported by grants from V. P. for Research, University of Arizona (to GT and VJH), the NIH (GM59630, to GT and ZS), the USPHS and NIDA (DA-06284 and DA13449 to VJH). We would like to acknowledge the Dr. H. I. Yamamura laboratory for providing us with the CHO cell line expressing the hDOR.

Abbreviations

AFM
atomic force microscopy
DPDPE
c-[D-Pen2, D-Pen5] enkephalin
FCS
fluorescence correlation spectroscopy
FRAP
fluorescence recovery after photobleaching
FRET
fluorescence resonance energy transfer
GPCR
G-protein coupled receptor
GTPγS
guanosine triphosphate γS
hDOR
human delta opioid receptor
mdeg
millidegree
NTI
naltrindole
PC
phosphatidylcholine
PWR
plasmonwaveguide resonance
SM
sphingomyelin
SPT
single particle tracking

References

1. Singer SJ, Nicolson GL. The fluid mosaic model of the structure of cell membranes. Science. 1972;175:720–731. [PubMed]
2. Simons K, Vaz WLC. Model systems, lipid rafts, and cell membranes. Annu. Rev. Biophys. Biomol. Struct. 2004;33:269–295. [PubMed]
3. Simons K, Ikonen E. Functional rafts in cell membranes. Nature. 1997;387:569–572. [PubMed]
4. Brown DA, London E. Structure and function of sphingolipid- and cholesterol-rich membrane rafts. J. Biol. Chem. 2000;275:17221–17224. [PubMed]
5. Simons K, Toomre D. Lipid rafts and signal transduction. Nature Rev. Mol. Cell Biol. 2000;1:31–41. [PubMed]
6. Navratil AM, Bliss SP, Berghorn KA, Haughian JM, Farmerie TA, Graham JK, Clay CM, Roberson MS. Constitutive localization of the gonadotropin-releasing hormone (GnRH) to low-density membrane microdomains is necessary for GnRH signaling to ERK. J. Biol. Chem. 2003;278:31593–31602. [PubMed]
7. Gimpl G, Faahrenholz F. Human oxytocin receptors in cholesterol-rich vs. cholesterol-poor microdomains of the plasma membrane. Biochemistry. 1997;36:10959–10974. [PubMed]
8. Guzzi F, Zanchetta D, Cassoni P, Guzzi V, Francolini M, Parenti M, Chini B. Localization of the human oxytocin receptor in caveolin-1 enriched domains turns the receptor-mediated inhibition of cell growth into a proliferative response. Oncogene. 2002;21:1658–1667. [PubMed]
9. Chini B, Parenti M. G-protein coupled receptors in lipid rafts and caveolae: how, when and why do they go there? J. Mol. Endocrinol. 2004;32:325–338. [PubMed]
10. Pike LJ. Lipid rafts: bringing order to chaos. J. Lipid Res. 2003;44:655–667. [PubMed]
11. Dessy C, Kelly RA, Balligand J-L, Feron O. Dynamin mediates caveolar sequestration of muscarinic cholinergic receptors and alteration in NO signaling. EMBO J. 2000;19:4272–4280. [PubMed]
12. Lasley RD, Narayan P, Uittenbogaard A, Smart EJ. Activated cardiac adenosine A(1) receptors translocate out of caveolae. J. Biol. Chem. 2000;275:4417–4421. [PubMed]
13. Ishizaka N, Griendling K, Lassegue B, Alexander RW. Angiotensin II type I receptor: relationship with caveolae and caveolin after initial agonist stimulation. Hypertension. 1998;32:459–466. [PubMed]
14. Feron O, Smith TW, Michel T, Kelly RA. Dynamic targeting of the agonist-stimulated m2 muscarinic acetylcholine receptor to caveolae in cardiac myocytes. J. Biol. Chem. 1997;272:17744–17748. [PubMed]
15. de Weerd WFC, Leeb-Lundberg LMF. Bradykinin sequesters B2 bradykinin receptors and the receptor-coupled G alpha subunits G alpha q and G alpha i in caveolae in DDT1 MF-2 smooth muscle cells. J. Biol. Chem. 1997;272:17858–17866. [PubMed]
16. Haaseman M, Cartaud J, Muller-Esterl W, Dunia I. Agonist-induced redistribution of bradykinin B2 receptor in caveolae. J. Cell Sci. 1998;111:917–928. [PubMed]
17. Sabourin T, Bastien L, Bachvarov DR, Marceau F. Agonist-induced translocation of the kinin B(1) receptor to caveolae-related rafts. Mol. Pharmacol. 2002;61:546–553. [PubMed]
18. Chun M, Liyanage UK, Lisanti MP, Lodish HF. Signal transduction of a G-protein coupled receptor in caveolae: colocalization of endothelin and its receptor with caveolin. Proc. Natl. Acad. Sci. USA. 1994;91:11728–11732. [PubMed]
19. Bretscher MS, Munro S. Cholesterol and the Golgi apparatus. Science. 1993;261:1280–1281. [PubMed]
20. Killian JA. Hydrophobic mismatch between proteins and lipids in membranes. Biochim. Biophys. Acta. 1998;1376:401–416. [PubMed]
21. Quock RM, Burkey TH, Varga E, Hosohata K, Cowell SM, Slate CA, Ehlert FJ, Roeske WR, Yamamura HI. The δ-opioid receptor: molecular pharmacology, signal transduction and the determination of drug efficacy. Pharmacol. Rev. 1999;51:503–532. [PubMed]
22. Salamon Z, Cowell S, Varga E, Yamamura HI, Hruby VJ, Tollin G. Plasmon resonance studies of agonist/antagonist binding to the human δ-opioid receptor: new structural insights into receptor-ligand interactions. Biophys. J. 2000;79:2463–2474. [PubMed]
23. Alves ID, Ciano KA, Boguslavski V, Varga E, Salamon Z, Yamamura HI, Hruby VJ, Tollin G. Selectivity, cooperativity and reciprocity in the interactions between the δ-opioid receptor, its ligands, and G-proteins. J. Biol. Chem. 2004;279:44673–44682. [PubMed]
24. Salamon Z, Devanathan S, Alves ID, Tollin G. Plasmon-waveguide resonance studies of lateral segregation of lipids and proteins into microdomains (rafts) in solid-supported bilayers. J. Biol. Chem. 2005;280:11175–11184. [PubMed]
25. Salamon Z, Brown MF, Tollin G. Plasmon resonance spectroscopy: probing interactions within membranes. Trends Biochem. Sci. 1999;24:213–219. [PubMed]
26. Salamon Z, Tollin G. Plasmon resonance spectroscopy: probing molecular interactions at surfaces and interfaces. Spectroscopy. 2001;15:161–175.
27. Tollin G, Salamon Z, Hruby VJ. Techniques: plasmon-waveguide resonance (PWR) spectroscopy as a tool to study ligand-GPCR interactions. Trends Pharmacol Sci. 2003;24:655–9. [PubMed]
28. Salamon Z, Macleod HA, Tollin G. Coupled plasmon-waveguide resonators: a new spectroscopic tool for probing proteolipid film structure and properties. Biophys. J. 1997;73:2791–2797. [PubMed]
29. Okura T, Cowell SM, Varga E, Burkey TH, Roeske WR, Hruby VJ, Yamamura HI. Differential down-regulation of the human delta-opioid receptor by SNC80 and [DPen (2), DPen (5)]enkephalin. Eur. J. Pharmacol. 2000;387:R11–13. [PubMed]
30. Alves I, Varga E, Salamon Z, Yamamura HI, Tollin G, Hruby VJ. Direct observation of G-protein binding to the human δ-opioid receptor using plasmonwaveguide resonance spectroscopy. J. Biol. Chem. 2003;278:48890–48897. [PubMed]
31. Mueller P, Rudin DO, Tien HT, Wescott WC. Reconstitution of cell membrane structure in vitro and its transformation into an excitable system. Nature. 1962;194:979–980. [PubMed]
32. Rinia HA, Snel MM, van der Eerden JP, de Kruijff B. Visualizing detergent resistent domains in model membranes with atomic force microscopy. FEBS Lett. 2001;501:92–96. [PubMed]
33. Saslowsky DE, Lawrence J, Ren X, Brown DA, Henderson RM, Edwardson JM. Placental alkaline phosphatase is efficiently targeted to rafts in supported lipid bilayers. J. Biol. Chem. 2002;277:26966–26970. [PubMed]
34. Almeida RFM, Fedorov A, Prieto M. Sphingomyelin/phosphatidylcholine/cholesterol phase diagram: boundaries and composition of lipid rafts. Biophys. J. 2003;85:2406–2416. [PubMed]
35. Seno K, Kishimoto M, Abe M, Higuchi Y, Mieda M, Owada Y, Yoshiyama W, Liu H, Hayashi F. Light- and guanosine 5′-3-O-(thio)triphosphate-sensitive localization of a G protein and its effector in detergent-resistant membrane rafts in rod photoreceptor outer segments. J. Biol. Chem. 2001;276:20813–20816. [PubMed]
36. Farrens DL, Altenbach C, Yang K, Hubbell WL, Khorana HG. Requirement of rigid body motion of transmembrane helices for light activation of rhodopsin. Science. 1996;274:768–770. [PubMed]
37. Milhiet PE, Giocondi M-C, Le Grimellec C. Cholesterol is not crucial for the existence of microdomains in kidney brush-border membrane models. J. Biol. Chem. 2002;277:875–878. [PubMed]
38. Muresan AS, Diamant H, Lee KYC. Effect of temperature and composition on the formation of nanoscale components in phospholipid membranes. J. Am. Chem. Soc. U.S.A. 2001;123:6951–6952. [PubMed]
39. Fattal DR, Ben-Shaul A. A molecular model for lipid-protein interactions in membranes: the role of hydrophobic mismatch. Biophys. J. 1993;65:1795–809. [PubMed]
40. Ren J, Lew S, Wang J, London E. Control of the transmembrane orientation and interhelical interactions within membranes by hydrophobic helix length. Biochemistry. 1999;38:5905–5912. [PubMed]
41. Harroun TA, Heller WT, Weiss TM, Yang L, Huang HW. Experimental evidence for hydrophobic matching and membrane-mediated interactions in lipid bilayers containing gramicidin. Biophys. J. 1999;76:937–945. [PubMed]
42. McIntosh TJ, Vidal A, Simon SA. Sorting of lipids and transmembrane proteins between detergent-soluble bilayers and detergent-resistent rafts. Biophys. J. 2003;85:1656–1666. [PubMed]
43. Huang C, Hepler JR, Chen LT, Gilman AG, Anderson RG, Mumby SM. Organization of G proteins and adenylyl cyclase at the plasma membrane. Mol. Biol. Cell. 1997;8:2365–78. [PMC free article] [PubMed]
44. Oh P, Schnitzer JE. Segregation of heterotrimeric G proteins in cell surface microdomains. G(q) binds caveolin to concentrate in caveolae, whereas G(i) and G(s) target lipid rafts by default. Mol. Biol. Cell. 2001;12:685–698. [PMC free article] [PubMed]
45. Moffett S, Brown DA, Linder ME. Light-dependent targeting of G proteins into rafts. J. Biol. Chem. 2000;275:2191–2198. [PubMed]
46. Philip F, Scarlata S. Influence of membrane components in the binding of proteins to membrane surfaces. Biochemistry. 2004;43:11691–11700. [PubMed]
47. Salamon Z, Wang Y, Brown MF, Macleod HA, Tollin G. Conformational changes in rhodopsin probed by surface plasmon resonance spectroscopy. Biochemistry. 1994;33:13706–13711. [PubMed]
48. Sprong H, van der Sluijs HP, van Meer G. How proteins move lipids and lipids move proteins. Nature Rev. Mol. Cell Biol. 2001;2:504–513. [PubMed]
49. Abe F, Iida H. Pressure-induced differential regulation of the two tryptophan permeases Tat 1 and Tat 2 by ubiquitin ligase Rsp5 and its binding proteins, Bul 1 and Bul 2. Mol. Cell. Biol. 2003;23:7566–7584. [PMC free article] [PubMed]
50. Crane JM, Tamm L. Role of cholesterol in the formation and nature of lipid rafts in planar and spherical model membranes. Biophys. J. 2004;86:2965–2979. [PubMed]