Biology subjects

Heberle, F. A.

Publications and source records attributed to Heberle, F. A..

18 recordsLinked to original sources

bioRxiv2026

Tuning nanoscale lipid clustering controls influenza viral binding

Influenza virus attaches to cells by binding to sialylated glycans. Subsequent endocytosis of the virus and endosomal maturation leads to a conformational change in the hemagglutinin coat protein that ultimately results in membrane fusion and release of the viral genome into the host cytoplasm, where it is trafficked to the nucleus and commences replication. Individual hemagglutinin-glycan binding affinities are weak (Kd approximately mM), so multivalency is key to viral attachment. Receptor density or clustering has previously been shown to affect influenza binding, but the overall spatial heterogeneity of both plasma and endosomal membranes has not been fully addressed. Here, we show that nanoscale lipid clustering can increase local concentration of glycosphingolipids and greatly enhance influenza viral binding in a way that macroscopic phase separation does not, and that binding avidity is dependent on the spatiotemporal scales of this clustering. This clustering is driven by sphingolipids and cholesterol and the nanoscale lipid environment of these clusters persists to affect the viral entry process. This finding demonstrates how fine receptor patterning can drive infection and illustrates the importance of tuning spatial scale in liquid-liquid phase separation.

biophysics↗

bioRxiv2026

Quantifying interleaflet coupling of phase behavior and observing anti-registered phases in asymmetric lipid bilayers

Model asymmetric lipid bilayers provide a powerful platform for probing how lateral phase behavior in one leaflet is coupled to that of the opposing leaflet. Here, we use calcium-induced hemifusion to generate asymmetric giant unilamellar vesicles (aGUVs) and investigate how lipid composition modulates interleaflet coupling of liquid-liquid phase separation. Symmetric GUVs composed of cholesterol, the high-melting lipid DPPC, and a low-melting phosphatidylcholine (either 14:1-PC or 16:1-PC) were prepared at compositions exhibiting coexisting liquid-ordered (Lo) and liquid-disordered (Ld) phases. Hemifusion with a uniformly mixed supported lipid bilayer composed of the low-melting lipid and cholesterol selectively altered the outer leaflet composition, producing aGUVs with controlled but variable asymmetry. Quantification of outer leaflet exchange using both probe-exit and probe-entry fluorescence measurements revealed substantial vesicle-to-vesicle variability within a given preparation, resulting in overlapping populations of phase-separated and uniformly mixed aGUVs. To account for this variability, we developed a population-based, coupled-distributions framework that enables robust determination of the asymmetric miscibility boundary, defined as the outer leaflet composition at which macroscopic phase separation is suppressed. Independent analyses of probe-exit and probe-entry data yielded consistent boundary locations. Comparing the two lipid systems, we find that aGUVs containing 14:1-PC require significantly greater outer leaflet exchange to abolish phase separation than those containing 16:1-PC. Only in the 14:1-PC system do we observe vesicles exhibiting coexistence of distinct anti-registered phases, a theoretically predicted but rarely observed regime consistent with large hydrophobic mismatch. By expressing both symmetric and asymmetric miscibility boundaries in a common fractional-coordinate framework, we introduce a phenomenological parameter, {Delta}*, that quantifies the direction and strength of interleaflet coupling of phase behavior. Together, these results demonstrate that modest changes in lipid chain length can markedly alter asymmetric miscibility boundaries and provide a quantitative link between experimental observations, leaflet dominance concepts, and coupled-leaflet theories of membrane organization. Statement of SignificanceMembrane asymmetry is a defining feature of eukaryotic cells whose influence on lateral membrane organization remains unclear. Using asymmetric giant vesicles, we find that coexisting liquid-ordered and liquid-disordered domains transition to a uniform appearance as saturated lipid in the outer leaflet is replaced with unsaturated lipid. The extent of exchange required to disrupt phase separation increased with acyl-chain length mismatch, revealing a compositional dependence of interleaflet coupling. In mixtures with greater hydrophobic mismatch, we also observe coexisting anti-registered phases predicted by theory but rarely observed experimentally, providing new constraints for models of coupled-leaflet behavior. By accounting for vesicle-to-vesicle compositional variability, these results provide a framework for measuring asymmetric miscibility boundaries and for connecting asymmetric membrane organization to lipid raft phenomena.

biophysics↗

bioRxiv2025

Nanodomain formation in lipid bilayers I: Quantifying the nanoscopic miscibility transition with FRET

We present a robust and easy-to-use methodology for determining the nanoscopic miscibility transition temperature, nm-Tmix, of lipid bilayer mixtures from FRET measurements. The method relies on the use of freely diffusing fluorescent donor and acceptor lipids that partition non-uniformly between coexisting phases. When this condition is met, changes in lipid clustering that occur as the sample passes through the transition result in abrupt changes in the spatial distribution of probes and consequently, abrupt changes in the FRET signal. FRET vs. temperature data can then be modeled with a phenomenological piecewise function that describes how the signal changes above and below nm-Tmix. Using lattice simulations, we show that the transition between these regimes occurs when the size of lipid clusters surpasses a critical threshold that is approximately equal to twice the Forster distance of the donor/acceptor pair, or about 10 nm. Because other, temperature-dependent factors unrelated to lateral organization--such as changes in lipid molecular area and donor photophysics--can also influence the FRET signal, we also fit the data using a simpler model of uniform mixing. An information theory-based test comparing the fit quality of the uniform and phase separated models provides a straightforward and robust criterion for objectively assessing whether a given sample undergoes a nanoscopic miscibility transition within a temperature range of interest. We highlight the distinction between nm-Tmix determined by FRET (or methods with comparable spatial resolution) and the micron-scale transition temperature, m-Tmix, determined from diffraction-limited optical techniques. The analysis software is freely available from an online repository.

biophysics↗

bioRxiv2025

Nanodomain formation in lipid bilayers II: The influence of mixed-chain saturated lipids

An important class of lipids found in biological membranes are composed of two structurally different hydrocarbon chains. Among these, low-melting lipids possessing both a saturated and unsaturated chain have been intensely studied because of their biological abundance and influence on lipid rafts. In contrast, much less is known about the biophysical effects of mixed chains in high-melting lipids. Here, we investigated two such lipids--MSPC (14:0-18:0 PC) and SMPC (18:0-14:0 PC)--to determine how chain length mismatch and acyl chain position on the glycerol backbone influence lateral organization. We studied the temperature-and composition-dependent phase behavior of liposomes composed of either mixed-chain or symmetric-chain high-melting lipids plus DOPC and cholesterol, using techniques sensitive to domain formation at both microscopic and nanoscopic length scales. All studied mixtures exhibited liquid-ordered (Lo) + liquid-disordered (Ld) phase coexistence with domains that were visible in confocal microscopy experiments. FRET measurements showed that all mixtures also exhibited nanoscopic heterogeneity at temperatures above the microscopic miscibility transition temperature, and cryo-EM imaging further revealed bilayer thickness variation consistent with coexisting Ld and Lo phases. Both the microscopic miscibility transition temperature, m-Tmix, and its nanoscopic counterpart, nm-Tmix, were strongly correlated with the melting transition temperature of the saturated lipid; the sole exception was SMPC/DOPC/Chol, whose m-Tmix showed a significant negative deviation from the expected value, implying an enhanced propensity for nanoscopic phase separation in mixtures containing this high-melting species. These results point to strong effects of acyl chain position within mixed-chain high-TM lipids on the microscopic phase behavior of ternary mixtures.

biophysics↗

bioRxiv2025

Training Generalized Segmentation Networks with Real and Synthetic Cryo-ET data.

Deep learning excels at segmenting objects within noisy cryo-electron tomograms, but the approach is typically bottlenecked by access to ground truth training data. To address this issue we have developed CryoTomoSim (CTS), an open-source software package that builds coarse-grained models of macromolecular complexes embedded in vitreous ice and then simulates transmitted electron tilt series for tomographic reconstruction. Using CTS outputs, we demonstrate the effects of key microscope parameters (dose, defocus, and pixel size) on deep learning-based segmentation, and show that including both molecular crowding and diversity within synthetic datasets is key to training cellular segmentation networks from purely synthetic inputs. While very effective as initial models, the accuracy of these networks is currently limited, and real cellular data is necessary to train the most accurate and generalizable U-Nets. Using a co-training approach, we first segment over 100 tomograms from neuronal growth cones to quantify their cytoskeletal distributions and then we build a generalized cellular cryo-ET segmentation network called NeuralSeg that can segment a subset of cellular features in tomograms from all domains of life.

cell biology↗

bioRxiv2024

QUANTIFYING ACYL CHAIN INTERDIGITATION IN SIMULATED BILAYERS VIA DIRECT TRANSBILAYER INTERACTIONS

In a lipid bilayer, the interactions between lipid hydrocarbon chains from opposing leaflets can influence membrane properties. These interactions include the phenomenon of interdigitation, in which an acyl chain of one leaflet extends past the bilayer midplane and into the opposing leaflet. While static interdigitation is well understood in gel phase bilayers from X-ray diffraction measurements, much less is known about dynamic interdigitation in fluid phases. In this regard, atomistic molecular dynamics simulations can provide mechanistic information on interleaflet interactions that can be used to generate experimentally testable hypotheses. To address limitations of existing computational methodologies which provide results that are either indirect or averaged over time and space, here we introduce three novel ways of quantifying the extent of chain interdigitation. Our protocols include the analysis of instantaneous interactions at the level of individual carbon atoms, thus providing temporal and spatial resolution for a more nuanced picture of dynamic interdigitation. We compare the methods on bilayers composed of lipids with equal total number of carbon atoms but different mismatches between the sn-1 and sn-2 chain lengths. We find that these metrics, which are based on freely available software packages and are easy to implement, provide complementary details that help characterize various features of lipid-lipid contacts at the bilayer midplane. The new frameworks thus allow for a deeper look at fundamental molecular mechanisms underlying bilayer structure and dynamics, and present a valuable expansion of the membrane biophysics toolkit.

biophysics↗

bioRxiv2024

Halogenated cholesterol alters the phase behavior of ternary lipid membranes

Eukaryotic plasma membranes exhibit nanoscale lateral lipid heterogeneity, a feature that is thought to be central to their function. Studying these heterogeneities is challenging since few biophysical methods are capable of detecting domains at sub-micron length scales. We recently showed that cryogenic electron microscopy (cryo-EM) can directly image nanoscale liquid-liquid phase separation in extruded liposomes due to its ability to resolve the intrinsic thickness and electron density differences of ordered and disordered phases. However, the intensity contrast between these phases is poor compared to conventional fluorescence microscopy and is thus both a limiting factor and a focal point for optimization. Because the fundamental source of intensity contrast is the spatial variation in electron density within the bilayer, lipid modifications aimed at selectively increasing the electron density of one phase might enhance the ability to resolve coexisting phases. To this end, we investigated model membrane mixtures of DPPC/DOPC/cholesterol in which one hydrogen of cholesterols C19 methyl group was replaced by an electron-rich halogen atom (either bromine or iodine). We characterized the phase behavior as a function of composition and temperature using fluorescence microscopy, FRET, and cryo-EM. Our data suggest that halogenated cholesterol variants distribute approximately evenly between liquid-ordered and liquid-disordered phases and are thus ineffective at enhancing the intensity difference between them. Furthermore, replacing more than half of the native cholesterol with halogenated cholesterol variants dramatically reduces the size of membrane domains. Our results reinforce how small changes in sterol structure can have a large impact on the lateral organization of membrane lipids.

biophysics↗

bioRxiv2024

Disruption of liquid/liquid phase separation in asymmetric GUVs prepared by hemifusion

Model asymmetric bilayers are useful for studying the coupling between lateral and transverse lipid organization. Here, we used calcium-induced hemifusion to create asymmetric giant unilamellar vesicles (aGUVs) for exploring the phase behavior of 16:0-PC/16:1-PC/Cholesterol, a simplified model for the mammalian plasma membrane. Symmetric GUVs (sGUVs) were first prepared using a composition that produced coexisting liquid-disordered and liquid-ordered phases visible by confocal fluorescence microscopy. The sGUVs were then hemifused to a supported lipid bilayer (SLB) composed of uniformly mixed 16:1-PC/Cholesterol. The extent of outer leaflet exchange was quantified in aGUVs in two ways: (1) from the reduction in fluorescence intensity of a lipid probe initially in the sGUV ("probe exit"); or (2) from the gain in intensity of a probe initially in the SLB ("probe entry"). These measurements revealed a large variability in the extent of outer leaflet exchange in aGUVs within a given preparation, and two populations with respect to their phase behavior: a subset of vesicles that remained phase separated, and a second subset that appeared uniformly mixed. Moreover, a correlation between phase behavior and extent of asymmetry was observed, with more strongly asymmetric vesicles having a greater probability of being uniformly mixed. We also observed substantial overlap between these populations, an indication that the uncertainty in measured exchange fraction is high. We developed models to determine the position of the phase boundary (i.e., the fraction of outer leaflet exchange above which domain formation is suppressed) and found that the phase boundaries determined separately from probe-entry and probe-exit data are in good agreement. Our models also provide improved estimates of the compositional uncertainty of individual aGUVs. We discuss several potential sources of uncertainty in the determination of lipid exchange from fluorescence measurements. Statement of SignificanceWe used calcium-induced hemifusion to create an asymmetric lipid distribution in giant unilamellar vesicles that are models for the mammalian plasma membrane. Confocal fluorescence micrographs of asymmetric vesicles showed that coexisting liquid-ordered and liquid-disordered domains initially present in symmetric vesicles were disrupted after 75% of the saturated lipid in their outer leaflets was replaced with unsaturated lipid. We developed quantitative models for extracting valuable information from the data, including the location of the phase boundary and the compositional uncertainty of individual asymmetric vesicles. The methodology we describe can help reveal the molecular determinants of interleaflet coupling of phase behavior and thus contribute to a better understanding of lipid raft phenomena.

biophysics↗

bioRxiv2024

Cryo-EM images of phase separated lipid bilayer vesicles analyzed with a machine learning approach

Lateral lipid heterogeneity (i.e., raft formation) in biomembranes plays a functional role in living cells. Three-component mixtures of low- and high-melting lipids plus cholesterol offer a simplified experimental model for raft domains in which a liquid-disordered (Ld) phase coexists with a liquid-ordered (Lo) phase. Using such models, we recently showed that cryogenic electron microscopy (cryo-EM) can detect phase separation in lipid vesicles based on differences in bilayer thickness. However, the considerable noise within cryo-EM data poses a significant challenge for accurately determining the membrane phase state at high spatial resolution. To this end, we have developed an image processing pipeline that utilizes machine learning (ML) to predict the bilayer phase in projection images of lipid vesicles. Importantly, the ML method exploits differences in both the thickness and molecular density of Lo compared to Ld, which leads to improved phase identification. To assess accuracy, we used artificial images of phase-separated lipid vesicles generated from all-atom molecular dynamics simulations of Lo and Ld phases. Synthetic ground truth datasets mimicking a series of compositions along a tieline of Ld+Lo coexistence were created and then analyzed with various ML models. For all tieline compositions, we find that the ML approach can correctly identify the bilayer phase at 5 nm lateral resolution with > 90% accuracy, thus providing a means to isolate the intensity profiles of coexisting Ld and Lo phases, as well as accurately determine domain size distributions, number of domains, and phase area fractions. The method described here provides a framework for characterizing nanoscopic lateral heterogeneities in membranes and paves the way for a more detailed understanding of raft properties in biological contexts. SignificanceLipid rafts are important for cell function, but in most cases cannot be detected with conventional optical microscopy because of their extremely small size. Cryogenic electron microscopy (cryo-EM), because of its much greater spatial resolution, is capable of imaging domains as small as 5-10 nm. In this report, we show how machine learning techniques can be used to automatically and accurately identify raft-like domains in simulated cryo-EM images, a powerful approach that could ultimately lead to a better understanding of raft properties.

biophysics↗

bioRxiv2023

Cell Membranes Sustain Phospholipid Imbalance Via Cholesterol Asymmetry

Membranes are molecular interfaces that compartmentalize cells to control the flow of nutrients and information. These functions are facilitated by diverse collections of lipids, nearly all of which are distributed asymmetrically between the two bilayer leaflets. Most models of biomembrane structure and function often include the implicit assumption that these leaflets have similar abundances of phospholipids. Here, we show that this assumption is generally invalid and investigate the consequences of lipid abundance imbalances in mammalian plasma membranes (PM). Using quantitative lipidomics, we discovered that cytoplasmic leaflets of human erythrocyte membranes have >50% overabundance of phospholipids compared to exoplasmic leaflets. This imbalance is enabled by an asymmetric interleaflet distribution of cholesterol, which regulates cellular cholesterol homeostasis. These features produce unique functional characteristics, including low PM permeability and resting tension in the cytoplasmic leaflet that regulates protein localization. These largely overlooked aspects of membrane asymmetry represent an evolution of classic paradigms of biomembrane structure and physiology.

biophysics↗

bioRxiv2023

Rapid Synthesis of Cryo-ET Data for Training Deep Learning Models

Deep learning excels at cryo-tomographic image restoration and segmentation tasks but is hindered by a lack of training data. Here we introduce cryo-TomoSim (CTS), a MATLAB-based software package that builds coarse-grained models of macromolecular complexes embedded in vitreous ice and then simulates transmitted electron tilt series for tomographic reconstruction. We then demonstrate the effectiveness of these simulated datasets in training different deep learning models for use on real cryotomographic reconstructions. Computer-generated ground truth datasets provide the means for training models with voxel-level precision, allowing for unprecedented denoising and precise molecular segmentation of datasets. By modeling phenomena such as a three-dimensional contrast transfer function, probabilistic detection events, and radiation-induced damage, the simulated cryo-electron tomograms can cover a large range of imaging content and conditions to optimize training sets. When paired with small amounts of training data from real tomograms, networks become incredibly accurate at segmenting in situ macromolecular assemblies across a wide range of biological contexts. SummaryBy pairing rapidly synthesized Cryo-ET data with computed ground truths, deep learning models can be trained to accurately restore and segment real tomograms of biological structures both in vitro and in situ.

cell biology↗

bioRxiv2023

Partitioning to ordered membrane domains regulates the kinetics of secretory traffic

The organelles of eukaryotic cells maintain distinct protein and lipid compositions required for their specific functions. The mechanisms by which many of these components are sorted to their specific locations remain unknown. While some motifs mediating subcellular protein localization have been identified, many membrane proteins and most membrane lipids lack known sorting determinants. A putative mechanism for sorting of membrane components is based on membrane domains known as lipid rafts, which are laterally segregated nanoscopic assemblies of specific lipids and proteins. To assess the role of such domains in the secretory pathway, we applied a robust tool for synchronized secretory protein traffic (RUSH, Retention Using Selective Hooks) to protein constructs with defined affinity for raft phases. These constructs consist solely of single-pass transmembrane domains (TMDs) and, lacking other sorting determinants, constitute probes for membrane domain-mediated trafficking. We find that while raft affinity can be sufficient for steady-state PM localization, it is not sufficient for rapid exit from the endoplasmic reticulum (ER), which is instead mediated by a short cytosolic peptide motif. In contrast, we find that Golgi exit kinetics are highly dependent on raft affinity, with raft preferring probes exiting Golgi [~]2.5-fold faster than probes with minimal raft affinity. We rationalize these observations with a kinetic model of secretory trafficking, wherein Golgi export can be facilitated by protein association with raft domains. These observations support a role for raft-like membrane domains in the secretory pathway and establish an experimental paradigm for dissecting its underlying machinery.

cell biology↗

bioRxiv2022

Serinc5 restricts HIV membrane fusion by altering lipid order and heterogeneity in the viral membrane

The host restriction factor, Serinc5, incorporates into budding HIV particles and inhibits their infection by an incompletely understood mechanism. We have previously reported that Serinc5 but not its paralogue, Serinc2, blocks HIV cell entry by membrane fusion, specifically by inhibiting fusion pore formation and dilation. A compelling body of work also suggests Serinc5 may alter the conformation and clustering of the HIV fusion protein, Env. To contribute an additional perspective to the developing model of Serinc5 restriction, we assessed Serinc2 and Serinc5s effects on HIV pseudoviral membranes. Using fluorescence lifetime imaging with an order sensitive dye, FLIPPER-TR, and by measuring pseudoviral membrane thickness via cryo electron microscopy (cryoEM), Serinc5 was found to increase membrane heterogeneity, skewing the distribution towards a larger fraction of the viral membrane in an ordered phase. We also directly observed for the first time the coexistence of membrane domains within individual viral membrane envelopes. Using a TIRF-based single particle fusion assay, we found that incorporation of exogenous phosphatidylethanolamine (PE) into the viral membrane rescued HIV pseudovirus fusion from restriction by Serinc5, which was accompanied by decreased membrane heterogeneity and order. This effect was specific for PE and did not depend on acyl chain length or saturation. Together, these data suggest that Serinc5 alters multiple interrelated properties of the viral membrane--lipid chain order, rigidity, line tension, and lateral pressure--which decrease accessibility of fusion intermediates and disfavor completion of fusion. These biophysical insights into Serinc5 restriction of HIV infectivity could contribute to the development of novel antivirals that exploit the same weaknesses of HIV and potentially other enveloped viruses.

biophysics↗

bioRxiv2022

Optimization of cryo-electron microscopy for quantitative analysis of lipid bilayers

Cryogenic electron microscopy (cryo-EM) is among the most powerful tools available for interrogating nanoscale structure of biological structures. We recently showed that cryo-EM can be used to measure the bilayer thickness of lipid vesicles and biological membranes with sub-angstrom precision, resulting in the direct visualization of nanoscopic domains of different thickness in multicomponent lipid mixtures and giant plasma membrane vesicles. Despite the great potential of cryo-EM for revealing the lateral organization of biomembranes, a large parameter space of experimental conditions remains to be optimized. Here, we systematically investigate the influence of instrument parameters and image post-processing steps on the ability to accurately measure bilayer thickness and discriminate regions of different thickness within unilamellar liposomes. We also demonstrate a spatial autocorrelation analysis to extract additional information about lateral heterogeneity. SignificanceRaft domains in unstimulated cells have proven difficult to directly visualize owing to their nanoscopic size and fleeting existence. The few techniques capable of nanoscopic spatial resolution typically rely on interpretation of indirect spectroscopic or scattering signals or require stabilizing the membrane on a solid support. In contrast, cryo-EM yields direct images of nanoscale domains in probe-free, unsupported membranes. Here, we systematically optimize key steps in the experimental and analysis workflow for this new and specialized application. Our findings represent an important step toward developing cryo-EM into a robust method for investigating phase behavior of membranes at length scales relevant to lipid rafts.

biophysics↗

bioRxiv2020

Direct label-free imaging of nanodomains in biomimetic and biological membranes by cryogenic electron microscopy

The nanoscale organization of biological membranes into structurally and compositionally distinct lateral domains is believed to be central to membrane function. The nature of this organization has remained elusive due to a lack of methods to directly probe nanoscopic membrane features. We show here that cryogenic electron microscopy (cryoEM) can be used to directly image coexisting nanoscopic domains in synthetic and bio-derived membranes without extrinsic probes. Analyzing a series of single-component liposomes composed of synthetic lipids of varying lengths, we demonstrate that cryoEM can distinguish bilayer thickness differences as small as 0.5 [A], comparable to the resolution of small-angle scattering methods. Simulated images from computational models reveal that features in cryoEM images result from a complex interplay between the atomic distribution normal to the plane of the bilayer and imaging parameters. Simulations of phase separated bilayers were used to predict two sources of contrast between coexisting ordered and disordered phases within a single liposome, namely differences in membrane thickness and molecular density. We observe both sources of contrast in biomimetic membranes composed of saturated lipids, unsaturated lipids, and cholesterol. When extended to isolated mammalian plasma membranes, these methods reveal similar nanoscale lateral heterogeneities. The methods reported here for direct, probe-free imaging of nanodomains in unperturbed membranes open new avenues for investigation of nanoscopic membrane organization. SIGNIFICANCEWe have used cryoEM to achieve direct, probe-free imaging of lateral domains in biomimetic lipid membranes under native conditions and to characterize differences in their structures. First, measurements of membrane thickness in laterally uniform single-component membranes show that cryoEM is capable of sub-angstrom resolution of interleaflet membrane thickness. All-atom simulations are used to predict the cryo-EM appearance of submicron domains in vesicles with coexisting liquid domains and these are quantitatively validated by direct imaging of phase separated membranes. We then extend this approach to observe nanoscopic domains in isolated cellular membranes, comprising the first direct imaging of nanodomains in biomembranes.

biophysics↗

bioRxiv2019

On the mechanism of bilayer separation by extrusion; or, why your large unilamellar vesicles are not really unilamellar

Extrusion through porous filters is a widely used method for preparing biomimetic model membranes. Of primary importance in this approach is the efficient production of single bilayer (unilamellar) vesicles that eliminate the influence of interlamellar interactions and strictly define the bilayer surface area available to external reagents such as proteins. Sub-microscopic vesicles produced using extrusion are widely assumed to be unilamellar, and large deviations from this assumption would dramatically impact interpretations from many model membrane experiments. Using three probe-free methods--small-angle X-ray and neutron scattering (SAXS and SANS) and cryogenic electron microscopy (cryoEM)--we report unambiguous evidence of extensive multilamellarity in extruded vesicles composed of neutral phosphatidylcholine lipids, including for the common case of neutral lipids dispersed in physiological buffer and extruded through 100 nm diameter pores. In such preparations, only ~35% of lipids are externally accessible, and this fraction is highly dependent on preparation conditions. Charged lipids promote unilamellarity, as does decreasing solvent ionic strength, indicating the importance of electrostatic interactions in determining the lamellarity of extruded vesicles. Smaller extrusion pore sizes also robustly increase the fraction of unilamellar vesicles, suggesting a role for membrane bending. Taken together, these observations suggest a mechanistic model for extrusion, wherein formation of unilamellar vesicles involves competition between bilayer bending and adhesion energies. The findings presented here have wide-ranging implications for the design and interpretation of model membrane studies, especially ensemble-averaged observations relying on the assumption of unilamellarity.\n\nSTATEMENT OF SIGNIFICANCEExtruded vesicles are a ubiquitous tool in membrane research. It is widely presumed that extrusion produces unilamellar (i.e., single bilayer) vesicles, an assumption that is often crucial for data analysis and interpretation. Using X-ray and neutron scattering and cryogenic electron microscopy, we show that a substantial amount of lipid remains inaccessible after extrusion due to an abundance of multilamellar vesicles (MLVs). While this is a general phenomenon for neutral lipids, MLV contamination can be reduced by several complementary approaches such as including charged lipids in the mixture, reducing the ionic strength of the aqueous medium, and reducing the extrusion pore size. These observations together suggest a mechanism by which extrusion strips MLVs of their layers.

biophysics↗

bioRxiv2018

PS membrane asymmetry influences the folding and insertion of a transmembrane helix

The plasma membrane (PM) contains an asymmetric distribution of lipids between the inner and outer leaflets of its bilayer. A lipid of special interest in eukaryotic cells is the negatively charged phosphatidylserine (PS). In healthy cells, PS is actively sequestered to the inner leaflet of the PM but can redistribute to the outer leaflet when the cell is damaged or at the onset of apoptosis. The influence of PS asymmetry and its loss on membrane protein structure and organization have not been widely addressed. Marginally hydrophobic membrane proteins contain acidic residues in their transmembrane sequence, which can enable topological transitions after membrane association. The pH low insertion peptide (pHLIP), which undergoes a topological reorientation and inserts into the membrane at acidic pH - as its name implies, is a useful and well-characterized model for studying these transitions. Although it is known that the inclusion of PS in symmetric vesicles affects the membrane insertion process of pHLIP by lowering the pH midpoint of insertion, it is unclear how PS asymmetry influences these topological transitions. Here, we studied pHLIPs topology using freely-floating asymmetric phosphatidylcholine (PC)/PS vesicles with PS enriched in the inner leaflet. We developed a modified protocol to create asymmetric vesicles containing PS and employed Annexin V labeled with an Alexa 568 fluorophore as a new probe to quantifying PS asymmetry. For pHLIP, membrane insertion was affected by the surface charge difference between bilayer leaflets caused by the asymmetric distribution of charged lipids between the leaflets. We thus conclude that lipid asymmetry can have consequences for the behavior of membrane-associated proteins. A corollary is that model studies using symmetric bilayers to mimic the PM may fail to capture important aspects of protein-membrane interactions.

biophysics↗

bioRxiv2018

Gramicidin increases lipid flip-flop in symmetric and asymmetric lipid vesicles

Unlike most transmembrane proteins, phospholipids can migrate from one leaflet of the membrane to the other. Because this spontaneous lipid translocation (flip-flop) tends to be very slow, cells facilitate the process with enzymes that catalyze the transmembrane movement and thereby regulate the transbilayer lipid distribution. Non-enzymatic membrane-spanning proteins with unrelated primary functions have also been found to accelerate lipid flip-flop in a nonspecific manner and by various hypothesized mechanisms. Using deuterated phospholipids, we examined the acceleration of flip-flop by gramicidin channels which have well-defined structures and known function, features that make them ideal candidates for probing the protein-membrane interactions underlying lipid flip-flop. To study compositionally and isotopically asymmetric proteoliposomes containing gramicidin, we expanded a recently developed protocol for the preparation and characterization of lipid-only asymmetric vesicles. Channel incorporation, conformation, and function were examined with small-angle X-ray scattering, circular dichroism and a stopped-flow spectrofluorometric assay, respectively. As a measure of lipid scrambling we used differential scanning calorimetry to monitor the effect of gramicidin on the melting transition temperatures of the two bilayer leaflets. The two calorimetric peaks of the individual leaflets merged into a single peak over time suggestive of scrambling activity, and the effect of the channel on the transbilayer lipid distribution in both symmetric POPC and asymmetric POPC/DMPC vesicles was quantified from proton NMR measurements. Our results show that gramicidin increases lipid flip-flop in a complex, concentration-dependent manner. To determine the molecular mechanism of the process we used molecular dynamics simulations and further computational analysis of the trajectories to estimate the amount of membrane deformation in the samples. Together, the experimental and computational approaches were found to constitute an effective means for studying the effects of transmembrane proteins on lipid distribution in both symmetric and asymmetric model membranes.

biophysics↗