Literature DB >> 29694868

Vesicle Adhesion and Fusion Studied by Small-Angle X-Ray Scattering.

Karlo Komorowski1, Annalena Salditt2, Yihui Xu2, Halenur Yavuz3, Martha Brennich4, Reinhard Jahn3, Tim Salditt5.   

Abstract

We have studied the adhesion state (also denoted by docking state) of lipid vesicles as induced by the divalent ions Ca2+ or Mg2+ at well-controlled ion concentration, lipid composition, and charge density. The bilayer structure and the interbilayer distance in the docking state were analyzed by small-angle x-ray scattering. A strong adhesion state was observed for DOPC:DOPS vesicles, indicating like-charge attraction resulting from ion correlations. The observed interbilayer separations of ∼1.6 nm agree quantitatively with the predictions of electrostatics in the strong coupling regime. Although this phenomenon was observed when mixing anionic and zwitterionic (or neutral) lipids, pure anionic membranes (DOPS) with highest charge density σ resulted in a direct phase transition to a multilamellar state, which must be accompanied by rupture and fusion of vesicles. To extend the structural assay toward protein-controlled docking and fusion, we have characterized reconstituted N-ethylmaleimide-sensitive factor attachment protein receptors in controlled proteoliposome suspensions by small-angle x-ray scattering.
Copyright © 2018 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 29694868      PMCID: PMC5936998          DOI: 10.1016/j.bpj.2018.02.040

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


Introduction

Membrane fusion is a ubiquitous physiological process on both the cellular and subcellular level. A well-known example is the fusion of neurotransmitter-filled synaptic vesicles with the presynaptic plasma membrane (1). The fusion and the subsequent release of neurotransmitters are essential for nerve conduction, which is mediated by proteins known as soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs) (2). Neuronal SNAREs comprise both synaptobrevin 2 (Syb), situated in the membrane of the synaptic vesicle, as well as syntaxin 1a (Syx) and SNAP-25 (SN25), which in turn are anchored in the presynaptic plasma membrane. According to the zippering hypothesis, the N- to C-terminal assembly to a four-helix bundle, named the SNARE complex, provides the driving force to bring opposing membranes into close contact and therefore initiates the merger (2). Despite significant experimental efforts, e.g., (3, 4), many important details of the membrane fusion pathway, in particular concerning the intermediate structures of the membrane and the corresponding energy barriers, are still under debate. At the same time, numerical studies have provided interesting insight into possible structures and mechanisms (5, 6), which in turn require experimental verification. From studies of multilamellar model membranes, we know that the planar bilayer topology becomes unstable upon dehydration, and stalks begin to form for certain lipids once a critical (minimal) water layer thickness is reached between opposing bilayers (7, 8, 9, 10, 11). A limitation of these experiments is the fact that the critical osmotic pressure is extremely high and cannot be reached in solution but requires partial hydration in vapor pressure chambers. Important biochemical and biophysical parameters such as ionic strength cannot be used in such a setup. It is therefore of interest to investigate the equilibrium spacing between adhering lipid vesicles in solution, especially in the presence of controlled concentrations of monovalent or divalent ions such as Ca2+. In particular, it is important to see whether adhesion and eventually fusion can be induced by controlled variation of divalent ion concentration and to quantify the corresponding electrostatistical forces (12, 13). Experimentally, adhesion and fusion can be studied both in protein-free vesicles induced by Ca2+ as well as in vesicles with reconstituted SNAREs (also denoted as proteoliposomes) because reconstitution protocols are well established (3). In this work, we use small-angle x-ray scattering (SAXS) as a well-established technique for structure analysis of lipid vesicles in solution (14, 15, 16) to characterize the adhesion (or docking) state of vesicles. To this end, we primarily address “physical” adhesion induced by Ca2+ in pure lipid vesicles. We hence provide an experimental investigation of the contact zone, which has also received much attention in recent molecular dynamics (MD) simulations (17, 18, 19). Importantly, we find that the interbilayer distance in the strong adhesion state is governed by condensation of the divalent counterion according to the regime of strong coupling (13). In Outlook: SNARE-liposomes, we present SAXS experiments using vesicles with reconstituted SNAREs. For the latter, we use the mutant Syb84, which was shown to induce adhesion but not to promote full fusion (3). In this way, intermediate states of a SNARE-mediated liposome fusion pathway could be made accessible for SAXS. Note that the adhesion state of both protein-free vesicles and proteoliposomes, with two bilayers brought into close apposition, is likely to be governed by strong electrostatic and osmotic forces. The main aim of this work is hence to probe the bilayer structure and the interbilayer water spacing , with molecular resolution as quantified by the electron density profile (EDP) normal to the membranes. Following suitable preparation protocols of vesicles, the first challenge is the preparation and identification of the adhesion or docking state. As a long-term goal, we want to control and distinguish a nonreacted, a docked, and a fused state, as illustrated in Fig. 1.
Figure 1

(a) SAXS geometry and isotropic two-dimensional diffraction pattern as measured by an area detector (here, scattering from DOPC:DOPE (1:1) vesicles). The distance between the sample plane and the detector is denoted by . The momentum transfer vector is given by , where and are the wave vectors of the incident and the scattered x-ray beam, respectively. (b) Sketch of a “free” vesicle with the radius (left) and of two docked vesicles with an extended interface between two opposing bilayers (right) is shown. For both illustrations, three Gaussians describing the EDP of a bilayer are indicated (one Gaussian for each headgroup region and one Gaussian for the hydrophobic chain region). To see this figure in color, go online.

(a) SAXS geometry and isotropic two-dimensional diffraction pattern as measured by an area detector (here, scattering from DOPC:DOPE (1:1) vesicles). The distance between the sample plane and the detector is denoted by . The momentum transfer vector is given by , where and are the wave vectors of the incident and the scattered x-ray beam, respectively. (b) Sketch of a “free” vesicle with the radius (left) and of two docked vesicles with an extended interface between two opposing bilayers (right) is shown. For both illustrations, three Gaussians describing the EDP of a bilayer are indicated (one Gaussian for each headgroup region and one Gaussian for the hydrophobic chain region). To see this figure in color, go online. We thus first address vesicle preparation, protein reconstitution, and SAXS analysis in the Materials and Methods following this introduction. Subsequently, results will be presented and discussed, first for noninteracting unilamellar lipid vesicles and then for the adhesion state of vesicles induced by CaCl2 and MgCl2. The interbilayer distances obtained from adhered vesicles will be discussed in terms of interaction potentials. The study will close with an outlook toward x-ray structural investigations of SNARE-mediated liposome docking and fusion and with a summary of the main findings. Auxiliary data sets and further evaluations as well as additional technical details are included as Supporting Material.

Materials and Methods

Preparation of vesicles

The lipids dioleoylphosphatidylcholine (DOPC), dioleoylphosphatidylethanolamine (DOPE), dioleoylphosphatidylserine (DOPS), and cholesterol were purchased as lyophilized powders from Avanti Polar Lipids (Alabaster, AL). As a first step, the lipids were dissolved in chloroform and mixed at the desired molar ratio. Chloroform was then evaporated under a stream of nitrogen. The resulting dried lipid film was subsequently hydrated with ultrapure water (Milli-Q; Merck, Darmstadt, Germany) to a final lipid concentration of either 5 mg/mL for DOPC:DOPE:DOPS:Chol or 10 mg/mL for all other lipid mixtures. To achieve a homogeneous phase, the mixture was sonicated to clarity using a tip sonicator (SONOPULS HD 3100; Bandelin, Berlin, Germany) at amplitude 40% and pulse duration 0.5 s/0.5 s and at least five times for 60 s, with cooling periods on ice. After sonication, the vesicle suspension was stepwise extruded through polycarbonate membranes with pore sizes of 100, 50, and 30 nm in diameter (in that order, for each round 25 times) using a Mini-Extruder from Avanti Polar Lipids. For the investigation of CaCl2- and MgCl2-induced vesicle adhesion, the DOPC:DOPS mixtures were hydrated with either ultrapure water or a 100 mM glucose solution to a final concentration of 10 mg/mL and subsequently vortexed. Afterwards, the vesicles were extruded through membranes of a pore size of 100 nm in diameter. CaCl2 and MgCl2, suspended either in ultrapure water or in a 100 mM glucose solution, were added to the vesicle suspension before the experiment. Size distributions of the vesicles were quantified by dynamic light scattering (DLS), both for noninteracting vesicles (included as Fig. S1) and for the calcium-induced adhesion state. DLS measurements were performed by using an ALV/CGS-3 DLS/SLS Laser Light Scattering Goniometer System (ALV, Langen, Germany). The setup is equipped with a 22 mW polarized HeNe-Laser operating at a wavelength of nm (model 1145P; Uniphase, St. Charles, IL) and an ALV-7004 Multiple Tau Digital Correlator. Data analysis was performed with the ALV-Correlator Software (ALV-7004 for Windows, V.3.0.5.4; ALV, Langen, Germany), as previously described in (20).

Protein expression and purification

Expression and purification of SNAREs were performed by following the protocol in (3). The SNAREs used in this work, synaptobrevin-2 (residues 1–116 (21) and 49–96 (22)), syntaxin-1A (residues 183–288) (21), and a cysteine-free variant of SNAP-25A (residues 1–206) (23), were derived from Rattus norvegicus and their constructs were cloned into expression vectors. Full-length syb(1–116) C28S was cloned into a pET28a vector containing His6-tags. For the ΔN-complex (containing syb2(49–96), syx1A(183–288) and SN25(1–206)), the SNAREs were coexpressed using the pETDuet-1 vector for syb2(49–96) and syx1A(183–288) and the pET28a vector for SN25(1–206). All SNAREs were expressed in Escherichia coli strain BL21(DE3) and purified by Ni2+-NTA (nickel-nitrilotiacetic acid) affinity chromatography, followed by ion-exchange chromatography on the Äkta system (GE Healthcare, Little Chalfont, UK). His6-tags were removed by thrombin cleavage.

Preparation of SNARE-liposomes

The SNARE-liposomes were prepared by following the protocol in (3). Briefly, DOPC:DOPE:DOPS:Chol (molar ratio of 5:2:2:1) liposomes were prepared in a 150 mM KCl, 20 mM HEPES (pH 7.4) buffer by reverse-phase evaporation and subsequently by extrusion through polycarbonate membranes. The lipids were dissolved in chloroform:methanol (2:1) and mixed at the desired molar ratio. Using a rotary evaporator, the solvent was evaporated resulting in a dried lipid film. The lipid film was re-dissolved in 1.5 mL diethyl ether, and 0.5 mL of the buffer was added. The resulting mixture was sonicated using a thin-tip sonicator (Branson Sonifier, 50% duty cycle at low intensity, 3 × 45 s and cooling on ice after each sonification step for 45 s). Diethyl ether was removed from the emulsion by again using the rotary evaporator. Further buffer was added to the resulting liposome suspension to get a final lipid concentration of 8 mM. To get unilamellar liposomes with a mean radius of ∼50 nm, the liposomes were extruded through polycarbonate membranes with a pore size of 0.4 μm and with a pore size of 0.1 μm (each 25 times) in that order. For SNARE reconstitution, the liposomes were mixed with n-OG (n-octyl-β-D-glucoside) and either with syb or the ΔN-complex purified in 1% n-OG or 3-([3-cholamidopropyl]dimethylammonio)-1-propanesulfonate, respectively. The molar ratios of these mixtures were determined by the R-value, which describes the ratio of the concentration of n-OG above its critical micelle concentration to the concentration of the lipids (for details, see (3)), and further by the lipid-to-protein ratio. For reconstitution of the ΔN-complex and of syb, the R-values were set to R = 2 and to R = 1.5, respectively, and the lipid-to-protein ratio was set to 500:1 at a final lipid concentration of 4 mM for both reconstitutions. To remove excess n-OG, two runs of dialysis against liposome buffer using Slide-A-Lyzer cassettes (Thermo Fisher Scientific, Waltham, MA) of a molecular weight cutoff of 2 kDa were performed at room temperature. In a first “overnight” dialysis, 2 g/L of adsorbent beads (SM-2-Bio-Beads; Bio-Rad, Hercules, CA) were included, followed by a second run for ∼4 h.

SAXS

SAXS experiments were performed at the bending magnet beamline BM29 (BioSAXS) at the European Synchrotron Radiation Facility (ESRF) in Grenoble, France (24). The photon energy was set to E = 12.5 keV by a multilayer monochromator with . The beam size at the sample plane was (700 × 700) μm2. The scattered x rays were recorded using a pixel detector (Pilatus 1M; Dectris, Baden-Dättwil, Switzerland) with 981 × 1043 pixels of size (172 × 172) μm2 at a sample-to-detector distance of 2.867 m to cover a q-range of ∼0.036–4.95 nm−1. By using the sample-changer robot, the samples were automatically loaded into a vacuum-mounted quartz-capillary of 1.8 mm in diameter for exposure. For this purpose, the samples were loaded into PCR tubes (in general 50 μL per sample), and the matched buffers were loaded into microcentrifuge tubes (1–2 mL). For data acquisition, 10 frames of 1 s were recorded for each sample, in which a flow of the sample through the beam was generated to minimize radiation damage. For background subtraction, the matched buffer was measured before and after each sample. Automatic raw data processing, including azimuthal integration to obtain the one-dimensional scattering curve , background subtraction, and curve averaging (with a veto in case of radiation damage), was performed online by a processing pipeline within the EDNA framework (25).

Form and structure factor models

SAXS analysis of lipid vesicles is well-covered in literature. In this work, we largely follow (14, 26). However, we briefly repeat the scattering equations for notational clarity and as a basis of the specific choice of model and parameterizations used for the adhesion (docking) state. We use the standard decomposition of the powder-averaged kinematic structure factor and vesicle (or bilayer) form factor with the form-factor amplitude to write the scattering intensity , where denotes the powder average. q is given by the modulus of the momentum transfer vector , where λ is the wavelength of the x rays and θ the half of the scattering angle relative to the incident beam (cf. Fig. 1). The EDP normal to the bilayer, which enters into the form factor F(q), is parameterized by three Gaussian functions according torepresenting both headgroup regions and the hydrophobic chain region with the amplitude , the peak position , and the width of the respective Gaussian function as sketched in Fig. 1 b. This model has the advantage that it provides analytic solutions for F(q).

The flat bilayer and the spherical vesicle model

For noninteracting vesicles, we assume S(q) = 1. We consider two basic models to calculate F(q) on the basis of (14), namely, the flat bilayer model, which assumes that the SAXS signal is dominated by the powder-averaged bilayer structure, and the spherical vesicle model, which takes interference of the bilayer with the overall spherical shape properly into account. Note that the latter has the advantage of providing the mean vesicle radius and polydispersity in addition to the bilayer structure parameters. With the assumption that interference between different bilayer patches averages out in polydisperse ensembles, the vesicle suspension can be considered as a “perfect powder” of flat lipid bilayer patches with random orientations. The form-factor amplitude is hence given by the one-dimensional Fourier transform of the electron density (Eq. 1),followed by powder averaging. The scattering intensity is then simply given by because interactions between vesicles are neglected (14):where the factor q−2 takes into account the powder average of the one-dimensional Fourier transform in Eq. 2. Spherical vesicle model: taking the spherical symmetry of the vesicles into account, the form-factor amplitude is given by the radially symmetric Fourier transform of the electron density ,The scattering intensity is then calculated by taking the polydispersity of the vesicle suspension into account using a Gaussian distribution. As shown by (14), it can be written aswhere , , and contain the structural parameters (mean radius) and (standard deviation of the size distribution) as follows:and

The docking model

According to the flat bilayer model, the form-factor amplitude of the electron density of a single bilayer is calculated by the Fourier transform in Eq. 2, yielding (26)Here, the left term in the square brackets corresponds to the form factor of the bilayer headgroups and the right term to the form factor of the chain region. In real space, two bilayers in close apposition can be described by a convolution of the electron density , with the sum of two Dirac delta functions with distance d given byThe Fourier transform of the delta function is simply a shift in Fourier space, thusThe modulus square of Eq. 11 gives the structure factorNote that the structure factor in Eq. 12 can also be obtained from a multilamellar vesicle model with N bilayers with periodicity d (26, 27), setting N = 2. Using Eqs. 9 and 12, the scattering intensity is given bytaking into account the superposition of the scattering contribution of single (undocked) bilayers and of docked bilayers, respectively. Note that even if all vesicles dock, , corresponding to the fraction of vesicle surface involved in adhesion. Again, the factor takes the powder average into account.

Form and structure factor simulations

Fig. 2 shows simulated SAXS curves versus q of the form and structure factor models discussed above to illustrate the characteristic features related to the structural parameters.
Figure 2

Form and structure factor models. (a) A comparison of the spherical vesicle model (blue line) and the flat bilayer model (orange line) is shown. (b) The data for the spherical vesicle model for varied radius and polydispersity () are shown. (c) The data for the docking model for and different values of are shown. (d) The data for the docking model for different water spacings , 4 nm (blue line), 2 nm (orange line), and 1 nm (green line), for , are shown. The bilayer parameters are nm, nm, (arb. units), (arb. units), and nm for (a and b) and nm, nm, (arb. units), (arb. units), and for (c and d). To see this figure in color, go online.

Form and structure factor models. (a) A comparison of the spherical vesicle model (blue line) and the flat bilayer model (orange line) is shown. (b) The data for the spherical vesicle model for varied radius and polydispersity () are shown. (c) The data for the docking model for and different values of are shown. (d) The data for the docking model for different water spacings , 4 nm (blue line), 2 nm (orange line), and 1 nm (green line), for , are shown. The bilayer parameters are nm, nm, (arb. units), (arb. units), and nm for (a and b) and nm, nm, (arb. units), (arb. units), and for (c and d). To see this figure in color, go online. In (a), we compare the flat bilayer model and the spherical vesicle model. Differences are observed in particular in the low q-region, where modulations are evident in the case of the spherical model. Accordingly, this q-region is sensitive to the mean radius and to the width of the size distribution of the vesicles. Contrarily, at higher q-values, the flat bilayer model represents a good approximation and can be used to obtain structural parameters only of the bilayer in a robust manner. In (b), we compare spherical model curves for different radii, whereas the ratio of the radius to the polydispersity is kept constant. As expected, the minima (modulations) are shifted toward lower q-values when / increases. Furthermore, we observe an increase of the scattering intensity over the entire q-range. In (c), we compare scattering curves for different values of . gives the limiting case for the scattering arising only from adhering bilayers (blue line), thus . In addition to the form-factor minima of a single bilayer, further modulations are observed because of the structure factor. In the limiting case (green line), the docking model equals the flat bilayer model . The third example shown is (orange line), corresponding to a superposition of the scattering from two bilayers in close apposition and from single uncorrelated bilayers. In this scenario, which corresponds to the experimental observations, the structure-factor modulations can be observed but are less pronounced than the form-factor minima. In (d), scattering curves for different water spacings are compared. Although the form-factor minima remain, the intermediate modulations of the structure factor vary in a characteristic manner with . As expected, the minima of the structure-factor modulations are shifted toward lower q-values when increases.

Least-squares fitting

To obtain structural parameters from SAXS data, the experimental scattering intensities with data points recorded at were fitted by the model curve , accounting for scaling factor and background (additional background contribution after experimental background reduction) asThe quality of the fit was monitored by the reduced -functionwhere p is the number of free model parameters and is the variance of the intensity for a measured data point i. Nonlinear least-squares fitting was implemented using the MATLAB function lsqnonlin of the MATLAB R2016a Optimization Toolbox (MathWorks, Natick, MA). For the flat bilayer model and the docking model, a constant background was used to account for possible errors in the instrumental background subtraction. For the spherical vesicle model, both constant and power-law background correction terms were used as indicated. For the bilayer structure, a symmetric profile was enforced, reducing the number of free parameters, unless specified otherwise. The Gaussian parameters representing the headgroups are and . Although the width of the Gaussian representing the chain region is a free parameter, the amplitude and the position were fixed to (arbitrary (arb.) units) and (nm), respectively. The positions of the two outer Gaussians are denoted as . Only for the comparison in Fig. 3, an asymmetric bilayer model was included. Hence, the width and the amplitude of the Gaussians representing the headgroups were free parameters for both sides ( and ), whereas the positions were fixed analogously to the symmetric profile.
Figure 3

(a) SAXS data of 30-nm extruded DOPC:DOPE (1:1) vesicles in Milli-Q water (black circles), spherical vesicle model fits with either a symmetric or an asymmetric EDP (blue and red lines, respectively), and flat bilayer model fits with either a symmetric or an asymmetric EDP (yellow and purple lines, respectively). (b) EDPs obtained from the fits in (a) with the corresponding colors are shown. (c) SAXS simulation results using the spherical vesicle model with either a symmetric or an asymmetric EDP (blue and red, respectively) are shown. To see this figure in color, go online.

(a) SAXS data of 30-nm extruded DOPC:DOPE (1:1) vesicles in Milli-Q water (black circles), spherical vesicle model fits with either a symmetric or an asymmetric EDP (blue and red lines, respectively), and flat bilayer model fits with either a symmetric or an asymmetric EDP (yellow and purple lines, respectively). (b) EDPs obtained from the fits in (a) with the corresponding colors are shown. (c) SAXS simulation results using the spherical vesicle model with either a symmetric or an asymmetric EDP (blue and red, respectively) are shown. To see this figure in color, go online.

Results and Discussion

SAXS characterization of unilamellar vesicles

First, we have verified that a unilamellar state has been reached by the vesicle preparation for each of the different lipid compositions to have a structural reference for any further docking or fusion reactions. In view of a fusion reaction, we further addressed the question of whether we can control the size distribution of the vesicles. To this end, SAXS measurements were performed after the respective preparation step (subsequent extrusion through membranes of 100, 50, and 30 nm pore size) in ultrapure (Milli-Q) water and are shown as Fig. S2. The SAXS curves indicate that vesicles containing the negatively charged lipid DOPS achieve unilamellarity already after the first preparation step of direct sonication, whereas DOPC:DOPE mixtures (pure DOPC and the molar ratios of 4:1 and 1:1) differ from the characteristic SAXS profile of unilamellar vesicles, in particular between the first two form-factor minima, where remnants of Bragg peaks or at least modulations are observed. For both DOPC and DOPC:DOPE (4:1), unilamellarity is not even achieved after three runs of extrusion (using pore diameters of 100, 50, and 30 nm), whereas DOPC:DOPE (1:1) does become unilamellar after the final extrusion step (30 nm diameter). Hence, if no charged lipid component is used, at least a high molar ratio of DOPE should be used to achieve unilamellar vesicles. A strong decrease in scattering intensity is observed for DOPC and DOPC:DOPE after extrusion, reflecting the significant reduction in lipid concentration after filtering out big aggregates. Next, we have to select a suitable scattering model for unilamellar vesicles to extract structural parameters of the bilayer EDP. To this end, we compare the models of the flat bilayer dispersion and of perfectly spherical vesicles. We further investigate the effects of constraining the model to asymmetric EDP versus a freely parameterized EDP. Fig. 3 shows a quantitative analysis of the SAXS data of 30-nm extruded DOPC:DOPE (1:1) vesicles in which different models are compared. In (a), the spherical vesicle model and the flat bilayer model fits are shown both for symmetric and asymmetric EDP. For the spherical vesicle model fit, the full q-range was fitted, whereas only a restricted q-range of ∼0.36–4.95 nm−1 was fitted to the flat bilayer model, corresponding to the validity of this model (cf. SAXS simulations, Fig. 2). Note that all fit functions are plotted over the entire q-range for a better comparability. Further, an additional power law modeling the background is included in the spherical vesicle model and a constant background in the flat bilayer model. The dependence of the structural parameters on the choice of the background model is further elucidated in Fig. S3. The corresponding EDPs are plotted in (b). The structural parameters and the related are listed in Table 1. In general, all models match the data quite well, with only minor differences in the medium and high q-range. The parameters of the bilayer profile are found to be robust with respect to the two models and background choices. Larger differences between the models are observed in the lower q-range. As expected, only the spherical vesicle model can capture the dip corresponding to the vesicle size (radius ). The values for derived from the fit match the expectation according to the pore size of the extrusion, see Table 1.
Table 1

Structural Parameters Obtained from Spherical Vesicle Model and Flat Bilayer Model Least-Squares Fits to SAXS Data of 30-nm Extruded DOPC:DOPE 1:1 Vesicles Using Either a Symmetric or an Asymmetric Bilayer Profile

ModelBilayer Structureρh1, ρh2 (Arb. Units)σh1, σh2 (nm)σc (nm)dhh (nm)R0 (nm)σR (nm)χred2
Flat bilayersymmetric1.26, 1.260.32, 0.320.733.681.15
asymmetric2.63, 0.920.17, 0.440.773.661.1
Spherical vesiclesymmetric1.23, 1.230.30, 0.300.673.7214.357.41.42
asymmetric2.79, 0.820.18, 0.420.753.6815.328.681.09

The structural bilayer parameters are and or and for a symmetric or an asymmetric bilayer profile, respectively. The amplitude of the Gaussian representing the chain region is selected to (arb. units) for all fits.

Structural Parameters Obtained from Spherical Vesicle Model and Flat Bilayer Model Least-Squares Fits to SAXS Data of 30-nm Extruded DOPC:DOPE 1:1 Vesicles Using Either a Symmetric or an Asymmetric Bilayer Profile The structural bilayer parameters are and or and for a symmetric or an asymmetric bilayer profile, respectively. The amplitude of the Gaussian representing the chain region is selected to (arb. units) for all fits. Slight improvements of appear for an asymmetric bilayer profile. However, this is hard to justify in view of the unreasonably strong asymmetry (b), as well as the high number of free model parameters. In (c), SAXS simulations of the spherical vesicle model with either a symmetric or an asymmetric bilayer profile are indicated. The EDP is displayed in the inset. By comparison of the two cases, we observe that already a slightly asymmetric profile yields large deviations in the SAXS profile (red lines), in particular for the form-factor minima. This observation indicates that a precise background subtraction is essential when considering an asymmetric bilayer structure, especially because the form-factor minima are sensitive to this. Therefore, we restrict ourselves mainly to the analysis of a symmetric bilayer profile to obtain robust effective EDPs. Note that the analysis of further curves is presented as Fig. S4, along with tabulated values of structural parameters (Tables S1–S3) obtained from the fits for the respective models.

Adhesion of lipid vesicles

Next, we have investigated the structural changes induced by the addition of divalent salts. Fig. 4, a–c shows a series of SAXS data versus q of vesicles, either suspended in ultrapure water (a and b) or in a 100 mM glucose solution (c), in which structural changes were induced as a function of lipid composition and CaCl2/MgCl2. In the case of pure DOPS (a), we observe a phase transition toward a multilamellar phase already at low CaCl2 concentrations, e.g., 0.1 mM, as is evidenced by the emerging Bragg peaks. The latter become more pronounced with an increase of the CaCl2 concentration. From the position of the first Bragg peak, we infer a lamellar periodicity nm for the 1 mM CaCl2 curve, yielding a water layer thickness nm, given the measured headgroup-to-headgroup distance nm (Table S1).
Figure 4

(a) SAXS data versus q of DOPS vesicles in ultrapure water, measured after the addition of CaCl2 at different concentrations. (b) SAXS data versus q of DOPC:DOPS (1:1) vesicles in ultrapure water (blue), after addition of 4 mM glucose (red) and after addition of 4 mM CaCl2 (yellow), are shown. The SAXS profiles are shifted for clarity. (c) SAXS data versus q of DOPC:DOPS (1:1) vesicles in a 100 mM glucose solution (blue), after addition of 4 mM KCl (red), after addition of 4 mM MgCl2 (yellow), and after addition of 4 mM CaCl2 (purple), are shown. The SAXS profiles are shifted for clarity. (d) The size distributions of DOPC:DOPS (1:1) vesicles in 100 mM glucose, measured by DLS after the addition of CaCl2 at different concentrations, are shown. To see this figure in color, go online.

(a) SAXS data versus q of DOPS vesicles in ultrapure water, measured after the addition of CaCl2 at different concentrations. (b) SAXS data versus q of DOPC:DOPS (1:1) vesicles in ultrapure water (blue), after addition of 4 mM glucose (red) and after addition of 4 mM CaCl2 (yellow), are shown. The SAXS profiles are shifted for clarity. (c) SAXS data versus q of DOPC:DOPS (1:1) vesicles in a 100 mM glucose solution (blue), after addition of 4 mM KCl (red), after addition of 4 mM MgCl2 (yellow), and after addition of 4 mM CaCl2 (purple), are shown. The SAXS profiles are shifted for clarity. (d) The size distributions of DOPC:DOPS (1:1) vesicles in 100 mM glucose, measured by DLS after the addition of CaCl2 at different concentrations, are shown. To see this figure in color, go online. Contrary to DOPS, the SAXS profiles of the two-component mixture DOPC:DOPS (1:1) (b and c) exhibit a different line shape with structure factor modulations instead of Bragg peaks upon addition of CaCl2 or MgCl2 (highlighted by black arrows). According to the simulations of the docking model in Fig. 2, we identify these profiles as stable adhesion states of the vesicles. Control experiments indicate that the observed structure factor modulations are characteristic for the divalent cations Ca2+ and Mg2+. The addition of 4 mM glucose (b) or 4 mM KCl (c) does not lead to this particular line shape. At the same time, changes in the low q-range of the SAXS profile are observed for vesicles suspended in ultrapure water, both for the control experiment as well as upon the addition of CaCl2, indicating structural changes of the vesicle shape, e.g., because of osmotic shrinkage or locally flattened bilayers. Contrarily, no pronounced changes in the low q-range are observed for vesicles suspended in a 100 mM glucose solution, indicating that the overall vesicle shape (apart from the contact zone) remains spherical in this case. To shed further light on the overall size of the adhering vesicles, DLS measurements were performed before and after addition of CaCl2. Fig. 4 d shows the resulting size distributions for DOPC:DOPS (1:1) vesicles in 100 mM glucose. Upon addition of 4 and 10 mM CaCl2, the size distributions are systematically broadened, particularly toward higher hydrodynamic radii. In this range, the size distributions are still monodisperse, indicating that strong aggregation of many vesicles does not play a role. For 20 mM CaCl2, however, the size distribution becomes bimodal and shifts to significantly higher hydrodynamic radii. The quantification of structural parameters by least-squares fitting is exemplified in Fig. 5 for CaCl2-induced adhesion of DOPC:DOPS (1:1) vesicles in 100 mM glucose. To this end, the docking model has been applied with a constant background model. As is apparent from (a), the docking model is well suited to describe the SAXS data in the fitted q-range, here ∼0.424–4.95 nm−1, in which the scattering is dominated by the bilayer form factor. In (b), the corresponding EDP of the two bilayers in close proximity is displayed, with an interbilayer spacing of  nm. In Table 2, the structural parameters of all fits are listed. Lipid composition, aqueous environment (ultrapure water versus 100 mM glucose solution), and the CaCl2/MgCl2-concentration have been varied. From the results, we draw the following conclusions: 1) the bilayer structure and the interbilayer distance are nearly identical for the glucose solution and ultrapure water; 2) does not change between 4 and 10 mM CaCl2 and MgCl2; 3) for MgCl2 is slightly higher by ∼1.5 Å than for CaCl2; 4) in ultrapure water, the vesicles deform more easily than in glucose, favoring a higher fraction of adhered membranes ; and 5) the bilayer thickness increases upon addition of CaCl2 and MgCl2. Note that further EDPs are included as Fig. S5, illustrating the differences between CaCl2- and MgCl2-induced structural changes, as well as the effect of background (monovalent) salt (KCl); see Fig. S6 and Table S4. In this case, higher interbilayer distances (∼3–6 nm) are observed.
Figure 5

(a) SAXS data versus q of DOPC:DOPS (1:1) vesicles suspended in a 100 mM glucose solution upon addition of 4 mM CaCl2 (black circles) and least-squares fit using the docking model (blue line). (b) The reconstructed EDP using the structural parameters obtained from the docking model fit indicated in (a) is shown. The structural parameters are summarized in Table 2. To see this figure in color, go online.

Table 2

Structural Parameters as Obtained from the Flat Bilayer and Docking Model Analyses of the SAXS Data of DOPC:DOPS 1:1 Vesicles in MQ and in 100 mM Glucose with Respect to the Added CaCl2 and MgCl2 Concentration

SampleFit Model[CaCl2] (mM)[MgCl2] (mM)ρh (Arb. Units)σh, σc (nm)dhh (nm)dw (nm)(1νd)χred2
DOPC:DOPS (1:1) in MQflat bilayer1.350.42, 0.893.641.19
docking41.420.44, 0.953.721.540.851.37
DOPC:DOPS (1:1) in 100 mM glucoseflat bilayer1.270.42, 0.903.631.03
docking41.390.44, 0.953.711.560.891.14
docking101.260.51, 0.983.701.600.820.95
docking41.340.39, 0.843.721.720.980.89
docking101.320.46, 0.983.691.740.861.11

The model fits are based on a symmetric EDP; thus, the amplitude and width of the inner and outer leaflet are and . The amplitude of the Gaussian representing the chain region is selected to (arb. units) for all fits.

(a) SAXS data versus q of DOPC:DOPS (1:1) vesicles suspended in a 100 mM glucose solution upon addition of 4 mM CaCl2 (black circles) and least-squares fit using the docking model (blue line). (b) The reconstructed EDP using the structural parameters obtained from the docking model fit indicated in (a) is shown. The structural parameters are summarized in Table 2. To see this figure in color, go online. Structural Parameters as Obtained from the Flat Bilayer and Docking Model Analyses of the SAXS Data of DOPC:DOPS 1:1 Vesicles in MQ and in 100 mM Glucose with Respect to the Added CaCl2 and MgCl2 Concentration The model fits are based on a symmetric EDP; thus, the amplitude and width of the inner and outer leaflet are and . The amplitude of the Gaussian representing the chain region is selected to (arb. units) for all fits.

Interaction potentials

Next, we have investigated which additive interaction potentials and parameters could possibly explain the observed values of of the adhesion state. To this end, Fig. 6 shows different approaches for modeling the interaction free energy per unit area corresponding to different experimental scenarios. We start by the “reference state” of uncharged (zwitterionic) phospholipids such as pure DOPC, governed by a repulsive hydration interaction and an attractive van der Waals term (28, 29, 30). The resulting equilibrium water layer thickness is known from experiments on fully hydrated multilamellar membranes as (31). Note that the value corresponds to the definition as the distance between the two headgroup maxima. This value is reproduced by modeling the interactions, i.e., by an exponential hydration repulsion term (28)where the prefactor is typically on the order of a few with the Boltzmann constant and the temperature T, and the decay length is in the range of 1–3 . Following (29, 32), we write the van der Waals interaction as the sum of the static and the dispersive part withwhere and denote the hydrophilic and hydrophobic slab thickness, i.e., the headgroup and hydrocarbon chains, respectively. The Hamaker constants and are of order one. The resulting potential is plotted in Fig. 6 a for the exact parameter values given in the caption. When anionic lipids such as DOPS are present as in the experimental two-component lipid mixture, the corresponding average surface charge density σ results in an unbinding of charged membranes, i.e., the van der Waals attraction cannot compensate for the repulsion in the Poisson-Boltzmann regime (33). How does this change if salt is added and electrostatic repulsion is screened?
Figure 6

Calculated interaction potentials per unit area as a function of the interbilayer distance, modeled to discern possible scenarios to reproduce the experimental equilibrium water layer in the adhesion state. (a) The total interaction potential for uncharged membranes exhibits a local minimum at for the experimental parameters given below. (b) The adhesion vanishes if Poisson-Boltzmann repulsion in the Gouy-Chapman regime is taken into account and can be rescued only by an additional (attractive) osmotic pressure, plotted here for an assumed maximum of 10 mM expelled ions causing the attractive osmotic pressure (or depletion force). (c) The same depletion force acting on the neutral membrane would only slightly change the adhesion state to . (d) The strong coupling potential (green line) yields an attractive interaction of like-charge membranes at small separations. By adding the hydration repulsion, an equilibrium water spacing of is found, already close to the experimental finding. The latter is well-reproduced for  (solid blue line). The following simulation parameters have been used: assuming an area per lipid headgroup of , , , in (b), in (d), , , , , , , and . To see this figure in color, go online.

Calculated interaction potentials per unit area as a function of the interbilayer distance, modeled to discern possible scenarios to reproduce the experimental equilibrium water layer in the adhesion state. (a) The total interaction potential for uncharged membranes exhibits a local minimum at for the experimental parameters given below. (b) The adhesion vanishes if Poisson-Boltzmann repulsion in the Gouy-Chapman regime is taken into account and can be rescued only by an additional (attractive) osmotic pressure, plotted here for an assumed maximum of 10 mM expelled ions causing the attractive osmotic pressure (or depletion force). (c) The same depletion force acting on the neutral membrane would only slightly change the adhesion state to . (d) The strong coupling potential (green line) yields an attractive interaction of like-charge membranes at small separations. By adding the hydration repulsion, an equilibrium water spacing of is found, already close to the experimental finding. The latter is well-reproduced for  (solid blue line). The following simulation parameters have been used: assuming an area per lipid headgroup of , , , in (b), in (d), , , , , , , and . To see this figure in color, go online. For monovalent ions and concentrations in the experimentally relevant mM range, the repulsion is in the Gouy-Chapman regime. This follows from evaluation of the three characteristic length scales, the Debye screening length , the Bjerrum length , and the Gouy-Chapman length according to (12, 34), for the parameters given in the caption. Here, e is the elementary charge, q is the valency of the ions, is the number density of the ions, is the vacuum permittivity, is the dielectric constant for water, and σ is the surface charge density in the units of e/m3. In this regime, the free energy per unit area is given by (12, 34)which is plotted in Fig. 6 b, including an additional van der Waals term (orange line). Again, no minimum and thus no adhesion state is formed. Only if we introduce an additional osmotic pressure (red line) can a minimum again form (blue line), albeit at much larger distances for the relevant osmotic pressure corresponding to an excess concentration of ions in the mM range. Such an osmotic pressure or depletion force could arise if ions are expelled from the intermembrane space, similar to the phenomenon reported in (35). Accordingly, we would have an additional attractive interactionwhere c is the excess concentration of the expelled ions or molecules in the units of and is the gas constant. Here, we can assume a maximal value of 10 mM for the expelled ions. Such an osmotic pressure would hence result in a rather large in the range of several nm, rescuing a weak adhesion state in charged membranes. Contrarily, it would have only a minor effect on in the uncharged reference system (pure DOPC), as visualized in Fig. 6 c, in comparison to (a). Accordingly, neither osmotic effects nor mean-field electrostatics (12, 34), which neglects ion-ion correlation effects and is also denoted as the weak coupling regime, can explain the experimental results. Contrarily, the so-called strong coupling theory (13, 36, 37, 38), which is characterized by ion bridging and/or ion correlation effects, is well-known to result in attractive interaction of like-charge membranes. The two regimes are delineated by the unitless coupling parameter , where . The Poisson-Boltzmann approximation is valid for , whereas is denoted as the strong coupling regime. For the present experimental parameters, we indeed find . Correspondingly, we must turn to the strong coupling regime, for which an analytical expression was derived in (13, 38) in terms of the interaction pressureBy integration, we find the potential plotted in (d) (green line) for the given experimental parameters. The addition of the hydration repulsion to the strong coupling potential (dashed blue line) predicts an adhesion state with , which is already quite close to the experimental finding. Further, a reduction of the charge density to (solid blue line), or equivalently an increase of the decay length of the hydration repulsion from 0.2 to 0.25 nm (data not shown), would result in perfect agreement. We find that the van der Waals force can be safely neglected here because the attractive force is in this case largely dominated by like-charge attraction, as given by the expression above. We conclude that the observed adhesion state with is well explained by a superposition of hydration repulsion and electrostatics in the strong coupling regime predicted by the theory of Netz, Moreira, and coworkers.

Outlook: SNARE-liposomes

After probing the adhesion state in pure lipid vesicles, the next challenge is to perform similar experiments using proteoliposomes, in which complex formation of SNAREs and Ca2+ condensation both control adhesion and subsequently fusion. Although we could not yet reach this goal in this work, we pave the way by a careful structural characterization of the preparation pathway of SNARE-liposomes as displayed in Fig. 7 a and b to get a better understanding of the structure of SNARE-liposomes. (a) shows SAXS data of DOPC:DOPE:DOPS:Chol (5:2:2:1) liposomes in a 150 mM KCl, 20 mM HEPES (pH 7.4) buffer (blue circles) and of DOPC:DOPE:DOPS:Chol (5:2:2:1) liposomes after an overnight dialysis, in which the liposomes were mixed with n-OG (red circles). For the latter case, the R-value was set to R = 2 (analogous to the preparation of ΔN-liposomes). The least-squares analysis is based on the spherical vesicle model with an additional power-law background model. Structural parameters of the fits are listed in Table 3. The obtained EDPs are indicated in the inset. We address the question whether an overnight dialysis involving n-OG affects the bilayer structure. In fact, the analysis of both scattering curves reveals significant changes in the bilayer structure as the headgroup-to-headgroup distance decreases by ∼4 Å after the dialysis step. Moreover, the mean radius of the liposome suspension is decreased after dialysis. Fig. 7 b shows SAXS data from ΔN- (red circles) and SybWT-liposomes (blue circles). Compared to the SAXS curves of pure lipid vesicles, the curves differ, particularly in the lower q-range. The first minima are less pronounced for SNARE-liposomes, in particular for ΔN-liposomes, most likely due to the interference between the SNAREs and the lipid bilayer as well as the form factor of the SNAREs themselves. Least-squares analysis is carried out based on the flat bilayer model with an additional constant background assuming a symmetric bilayer structure. The corresponding EDPs are shown in the inset, and the structural parameters are listed in Table 3. By comparison of the structural parameters, we observe only slight differences between Syb- and ΔN-liposomes, and between the SNARE-liposomes and the control liposomes (after dialysis). This indicates that the SNAREs have only a minor effect on the mean lipid bilayer structure. For example, for all SNARE-liposomes, a slight increase of up to ∼1 Å was obtained. Hence, rather than a result of SNARE reconstitution, the thinning must be attributed to the preparation protocol. It could be explained either by a loss of Chol (39) washed out by n-OG or by a remaining fraction of n-OG even after dialysis. Note that n-OG is known to form bilayers together with phospholipids (40). Further evidence for the second explanation is found in (11).
Figure 7

Structural characterization of SNARE-liposomes. (a) SAXS data of DOPC:DOPE:DOPS:Chol (5:2:2:1) liposomes (shifted for clarity) directly after extrusion (blue circles) and after an overnight dialysis, mixed with n-OG (R = 2, red circles), are shown. Least-squares fits (black lines) are based on the spherical vesicle model, and the resulting EDPs are indicated in the inset (colors correspond to the SAXS data). (b) SAXS data of SNARE-liposomes, SybWT-liposomes (blue circles), and ΔN-complex liposomes (red circles), shifted for clarity, are shown. Least-squares fits (black lines) are based on the flat bilayer model, and the resulting EDPs are indicated in the inset (colors correspond to the SAXS data). To see this figure in color, go online.

Table 3

Structural Parameters of Syb- and ΔN-Liposomes and of Protein-free Liposomes with the Same Lipid Composition DOPC:DOPE:DOPS:Chol 5:2:2:1 with Respect to the Fit Model

Fit Modelρhσh, σcdhh (nm)R (nm)σR (nm)χred2
DOPC:DOPE:DOPS:Chol (5:2:2:1) in bufferspherical vesicle1.120.36, 0.723.8147.8171.39
flat bilayer1.110.36, 0.703.830.82
DOPC:DOPE:DOPS:Chol (5:2:2:1) in buffer (after dialysis)spherical vesicle1.360.32, 0.723.4534.718.11.20
flat bilayer1.350.34, 0.783.410.67
SybWT-liposomes in bufferflat bilayer1.260.33, 0.713.470.68
SybΔ84-liposomes in bufferflat bilayer1.240.34, 0.713.510.68
ΔN-liposomes in bufferflat bilayer1.100.32, 0.643.510.72
DOPC:DOPE:DOPS:Chol (5:2:2:1) in ultrapure waterspherical vesicle1.090.46, 0.843.5529.413.72.47

For all fits, a symmetric bilayer profile was applied so that and . The amplitude of the Gaussian representing the chain region is (arb. units) for all fits.

Structural characterization of SNARE-liposomes. (a) SAXS data of DOPC:DOPE:DOPS:Chol (5:2:2:1) liposomes (shifted for clarity) directly after extrusion (blue circles) and after an overnight dialysis, mixed with n-OG (R = 2, red circles), are shown. Least-squares fits (black lines) are based on the spherical vesicle model, and the resulting EDPs are indicated in the inset (colors correspond to the SAXS data). (b) SAXS data of SNARE-liposomes, SybWT-liposomes (blue circles), and ΔN-complex liposomes (red circles), shifted for clarity, are shown. Least-squares fits (black lines) are based on the flat bilayer model, and the resulting EDPs are indicated in the inset (colors correspond to the SAXS data). To see this figure in color, go online. Structural Parameters of Syb- and ΔN-Liposomes and of Protein-free Liposomes with the Same Lipid Composition DOPC:DOPE:DOPS:Chol 5:2:2:1 with Respect to the Fit Model For all fits, a symmetric bilayer profile was applied so that and . The amplitude of the Gaussian representing the chain region is (arb. units) for all fits.

Conclusions

First, we have screened the preparation pathway and parameters as well as different fitting models in view of structural docking and fusion assays. Suitable suspensions of small unilamellar vesicles were obtained for all but pure DOPC vesicles, which showed interbilayer interactions even after several extrusion steps. In all cases, it was challenging to achieve vesicle preparations with sufficiently small polydispersity to clearly observe and . From the spherical vesicle model fits, we have obtained plausible values, for example nm and nm for 30-nm extruded DOPC:DOPE (1:1) vesicles, but it must be realized that a high polydispersity in combination with an insufficient fusion efficiency probably does not allow us to clearly observe the increase in following vesicle fusion. The spherical vesicle model is found to be too restrictive because it does not account for any deviations from the perfect sphere, for example, by thermal fluctuations. Contrarily, the quasi-planar bilayer model was used in a very robust and convincing manner if the low q-range is excluded. However, access to is of course lost in this case. In future, there are several possible remedies: 1) the vesicle population could be purified, or the scattering volume could be reduced, e.g., by using microfluidics in combination with focused undulator radiation; 2) the spherical model can be generalized to account for deviations from the perfect spherical shape with appropriate parameters for shape and size polydispersity; and 3) the absolute scattering intensity in combination with calibrated vesicle concentration can be exploited to obtain constraints on . Further, MD simulation studies could be used to obtain constraints in the analysis of the SAXS data. It would, for example, be an interesting task to include asymmetric bilayer profiles resulting from curvature (41, 42). As the main result of this work, we found very clear evidence for a calcium-induced adhesion state in lipid vesicles initially suspended in ultrapure water or in a 100 mM glucose solution and could quantify the corresponding density profiles of the contact zone. The control experiments in glucose solution prove that the double bilayer contact detected by the SAXS pattern does not arise from deflated vesicles, but indeed from the adhesion between two different vesicles. Further, the characteristic water layer thickness in this strong adhesion regime was nearly identical for ultrapure water and for the glucose solution and also was nearly identical at 4 and 10 mM concentration of bulk CaCl2. This suggests a recruitment of Ca2+ to the contact zone in a quantity required to compensate the charge density of anionic membranes. The monovalent counterions must hence be expelled from the contact zone. The resulting osmotic pressure is not the cause of the adhesion but rather its outcome, and yet may further act to stabilize the adhesion. Given the fact that is defined here as the distance between density maxima of the headgroups, and the headgroup width is , an ion bridging phenomenon is structurally plausible, eventually accompanied by a local bilayer corrugation. The observed interbilayer distance can also be compared to the critical distance where the stalk phase appears (0.9 ± 0.05 nm), an intermediate before fusion (8). Using realistic parameters, simple mean field models of electrostatics do not result in interbilayer potentials that yield the observed interbilayer distances. Only when we evaluate the interaction forces of the so-called strong coupling theory according to Netz, Moreira, and coworkers can we reproduce the experimental result for realistic parameters. Accordingly, ion condensation on the bilayer surface and ion correlations are responsible for the observed adhesion. This phenomenon, which is interesting in itself from a soft matter and electrostatics point of view, certainly deserves further attention and should be complemented by investigations of solid-supported lipid bilayers in solution in the presence of CaCl2 (e.g., (43, 44, 45)), as well as by MD simulations in the future. Here, we observed nearly the same effect for Mg2+ as for Ca2+, with a small but systematic shift of . This would be in line with recent reports that Ca2+ and Mg2+ dehydrate and partially neutralize the bilayer surface, with a stronger effect for Ca2+ due to a higher binding affinity (19), which could possibly also play a role in the physiological scenario of calcium-dependent membrane fusion. Finally, we observed a stable CaCl2-induced adhesion state at a reduced concentration of monovalent salt, but in a soft regime characterized by much higher interbilayer distances not compatible with ion bridging. Depending on lipid composition and ion concentrations, this equilibrium distance could be varied over a wide range (∼3–6 nm), see (Fig. S6; Table S4). In the future, protein-induced docking should become tractable by the scattering model put forward here once a higher efficiency and purity of the SNARE-induced adhesion state can be reached. As a first step toward this goal, we have structurally characterized vesicles with reconstituted SNAREs in this work. Specifically, our future aim will be to identify and to characterize a SNARE-induced docking state, based on a suitable mutant (Syb84), which prevents full fusion but promotes docking. However, we did not find clear evidence for this state yet, possibly because of limited efficiency and loss of the signal by averaging over different populations (see Fig. S7). Nevertheless, even without docking and fusion, the structural characterization of vesicles with reconstituted SNAREs was successful and is an important first step. Generally, the SAXS data of the SNARE-liposomes showed more features in the scattering curves versus q (hence, also potentially more information) than we could analyze in this work with limited models. With appropriate extensions of the form-factor models, it should become possible to obtain information on the SNAREs in the lipid bilayers. Given a lipid-to-protein ratio of 500:1, we estimate a copy number of ∼70 SNAREs per vesicle with a radius of 30 nm. With a “full q-range” model, including a coarse-grained description of the SNAREs, the distribution of SNAREs and possible clustering could be addressed along with the mean radius and the polydispersity of the SNARE-liposomes. Such a model could then be useful to study the structure before and after fusion as well as the arrested docking intermediate. Toward this goal, a first point of reference is the work of Castorph et al. (46), in which anisotropic form factor models were derived for the analysis of SAXS data of synaptic vesicles, including the structure of both the lipid bilayer and the protein layers inside and outside of the vesicles.

Author Contributions

K.K., R.J., and T.S. designed research. K.K., A.S., and H.Y. prepared samples. K.K., A.S., Y.X., and T.S. carried out synchrotron experiments with support and advice from M.B. K.K. analyzed data with support from A.S. and Y.X. and advice from T.S. K.K. and T.S. wrote the manuscript, with comments and critical reading from all authors.
  34 in total

1.  Structural information from multilamellar liposomes at full hydration: full q-range fitting with high quality x-ray data.

Authors:  G Pabst; M Rappolt; H Amenitsch; P Laggner
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  2000-09

Review 2.  SNAREs--engines for membrane fusion.

Authors:  Reinhard Jahn; Richard H Scheller
Journal:  Nat Rev Mol Cell Biol       Date:  2006-08-16       Impact factor: 94.444

3.  Synaptic vesicles studied by dynamic light scattering.

Authors:  S Castorph; S Schwarz Henriques; M Holt; D Riedel; R Jahn; T Salditt
Journal:  Eur Phys J E Soft Matter       Date:  2011-06-27       Impact factor: 1.890

4.  Acyl-chain correlation in membrane fusion intermediates: x-ray diffraction from the rhombohedral lipid phase.

Authors:  Britta Weinhausen; Sebastian Aeffner; Tobias Reusch; Tim Salditt
Journal:  Biophys J       Date:  2012-05-02       Impact factor: 4.033

5.  Stalk formation as a function of lipid composition studied by X-ray reflectivity.

Authors:  Ziad Khattari; Sebastian Köhler; Yihui Xu; Sebastian Aeffner; Tim Salditt
Journal:  Biochim Biophys Acta       Date:  2014-09-28

6.  Curvature effect on the structure of phospholipid bilayers.

Authors:  Norbert Kucerka; Jeremy Pencer; Jonathan N Sachs; John F Nagle; John Katsaras
Journal:  Langmuir       Date:  2007-01-30       Impact factor: 3.882

7.  Molecular dynamics simulation of cation-phospholipid clustering in phospholipid bilayers: possible role in stalk formation during membrane fusion.

Authors:  Hui-Hsu Gavin Tsai; Wei-Xiang Lai; Hong-Da Lin; Jian-Bin Lee; Wei-Fu Juang; Wen-Hsin Tseng
Journal:  Biochim Biophys Acta       Date:  2012-06-05

8.  Membrane fusion intermediates via directional and full assembly of the SNARE complex.

Authors:  Javier M Hernandez; Alexander Stein; Elmar Behrmann; Dietmar Riedel; Anna Cypionka; Zohreh Farsi; Peter J Walla; Stefan Raunser; Reinhard Jahn
Journal:  Science       Date:  2012-05-31       Impact factor: 47.728

9.  Influence of cholesterol on the bilayer properties of monounsaturated phosphatidylcholine unilamellar vesicles.

Authors:  N Kucerka; J Pencer; M-P Nieh; J Katsaras
Journal:  Eur Phys J E Soft Matter       Date:  2007-07-05       Impact factor: 1.890

10.  Asymmetric distribution of cholesterol in unilamellar vesicles of monounsaturated phospholipids.

Authors:  Norbert Kucerka; Mu-Ping Nieh; John Katsaras
Journal:  Langmuir       Date:  2009-12-01       Impact factor: 3.882

View more
  5 in total

1.  Temperature- and Composition-Induced Multiarchitectural Transitions in the Catanionic System of a Conventional Surfactant and a Surface-Active Ionic Liquid.

Authors:  Mohd Sajid Lone; Saima Afzal; Oyais Ahmad Chat; Vinod Kumar Aswal; Aijaz Ahmad Dar
Journal:  ACS Omega       Date:  2021-04-27

2.  The effect of polydispersity, shape fluctuations and curvature on small unilamellar vesicle small-angle X-ray scattering curves.

Authors:  Veronica Chappa; Yuliya Smirnova; Karlo Komorowski; Marcus Müller; Tim Salditt
Journal:  J Appl Crystallogr       Date:  2021-03-25       Impact factor: 4.868

3.  Aescin-Cholesterol Complexes in DMPC Model Membranes: A DSC and Temperature-Dependent Scattering Study.

Authors:  Ramsia Sreij; Carina Dargel; Ralf Schweins; Sylvain Prévost; Rajeev Dattani; Thomas Hellweg
Journal:  Sci Rep       Date:  2019-04-03       Impact factor: 4.379

4.  SARS-CoV-2 Variant Screening Using a Virus-Receptor-Based Electrical Biosensor.

Authors:  Sungwook Park; Hojun Kim; Kyungmin Woo; Jeong-Min Kim; Hye-Jun Jo; Youngdo Jeong; Kwan Hyi Lee
Journal:  Nano Lett       Date:  2021-12-28       Impact factor: 11.189

5.  Table-top combined scanning X-ray small angle scattering and transmission microscopies of lipid vesicles dispersed in free-standing gel.

Authors:  Francesco Scattarella; Emiliano Altamura; Paola Albanese; Dritan Siliqi; Massimo Ladisa; Fabio Mavelli; Cinzia Giannini; Davide Altamura
Journal:  RSC Adv       Date:  2020-12-23       Impact factor: 3.361

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.