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bioRxiv2022

First crystal structure of a non-canonical amino acid linked to a paramagnetic lanthanide tag facilitates protein structure determination using NMR-derived restraints

Site-directed spin labeling of proteins via non-canonical amino acids (ncAAs) is a non-traditional method for the measurement of pseudocontact shifts (PCSs) by nuclear magnetic resonance (NMR) spectroscopy. PCSs provide long-range distance and orientational information between a paramagnetic center and protein nuclei that can be used as restraints for computational structural modeling techniques. Here, we present the first experimental structure of an ncAA chemically linked to a lanthanide tag conjugated to the protein, T4-Lysozyme (T4L). T4L was crystallized with a cyclen-based C3 tag coordinated to the paramagnetic ion terbium (Tb3+). The paramagnetic C3-lanthanide tag generated PCSs measured at four different ncAA sites. We show that the addition of these restraints improves structure prediction protocols for T4L using the RosettaNMR framework. Generated models provide insight into T4L conformational flexibility sampled in solution. This integrative modeling protocol is readily transferable to larger proteins. Methods to predict protein structures are advancing into an exciting arena such that reliable experimental data will play important roles for evaluating the biophysical relevance of predicted structural models. Our contribution here caters to the growing interest in using ncAAs for a range of biophysical studies, and these methods can be readily transferred to larger protein systems of interest.

biophysics↗

bioRxiv2022

The energy landscape reshaped by strain-specific mutations underlies the long-range epistasis in NS1 evolution of influenza A virus

The mechanisms underlying how individual mutations affect the protein energy landscape are crucial for understanding how proteins evolve. However, predicting mutational effects remains challenging because of epistasis--the nonadditive interactions between mutations. Here, we investigate the biophysical mechanism of strain-specific epistasis in the nonstructural protein 1 (NS1) of the influenza A virus (IAV). To understand the molecular basis of epistasis, we conducted comprehensive analyses of four NS1s of IAV strains that emerged between 1918 and 2004. We find that strain-specific mutations of NS1s are near-neutral with respect to the association with the p85{beta} subunit of PI3K. However, the individual residues on the p85{beta}-binding interface show long-range epistatic interactions with strain-specific mutations. We reveal that strain-specific mutations reshaped the energy landscape of NS1, leading to long-range epistasis. Our findings offer a high-resolution mechanism of how near-neutral mutations silently alter the biophysical energy landscapes, resulting in diverse background effects during molecular evolution.

biophysics↗

bioRxiv2022

Temperature Sensitive Contacts in Disordered Loops Tune Enzyme I Activity

Homologous enzymes with identical folds often exhibit different thermal and kinetic behaviors. Understanding how enzyme sequence encodes catalytic activity at functionally optimal temperatures is a fundamental problem in biophysics. Recently it was shown that the residues that tune catalytic activities of thermophilic/mesophilic variants of the C-terminal domain of bacterial Enzyme I (EIC) are largely localized within disordered loops, offering a model system with which to investigate this phenomenon. In this work, we employ molecular dynamics simulations and mutagenesis experiments to reveal a mechanism of sequence-dependent activity tuning of EIC homologs. We find that a network of contacts in the catalytic loops is particularly sensitive to changes in temperature, with some contacts exhibiting distinct linear or non-linear temperature-dependent trends. Moreover, these trends define structurally clustered dynamical modes and can distinguish regions that tend toward order or disorder at higher temperatures. Assaying several thermophilic EIC mutants, we show that complementary mesophilic mutations to the most temperature-sensitive positions exhibit the most enhanced activity while mutations to relatively temperature insensitive positions exhibit the least enhanced activities. These results provide a mechanistic explanation of sequence-dependent temperature tuning and offer a computational method for rational enzyme modification. SignificanceTemperature affects the catalytic rates of all enzymes. The impact of temperature on the catalytic activity of an enzyme, however, is convoluted from contributions of protein sequence, structure, and dynamics. As such, understanding and designing the molecular features of enzymes which tune catalytic rates at different temperatures remains a fundamental challenge in biophysics. In this work we have employed molecular simulations and mutagenesis experiments to reveal the temperature tuning mechanism of mesophilic and thermophilic homologues of the C domain of bacterial Enzyme l. We find that enzymes can be tuned to their physiological temperatures through a network of temperature-sensitive residue contacts localized in the disordered loops. Furthermore, we find that among temperature-sensitive contacts some exhibit linear and others non-linear dependence on temperature. These clues offer a promising physics-based approach for tuning enzyme activity.

biophysics↗

bioRxiv2022

Model of inverse bleb growth explains giant vacuole dynamics during cell mechanoadaptation

Cells can withstand hostile environmental conditions manifest as large mechanical forces such as pressure gradients and/or shear stresses by dynamically changing their shape. Such conditions are realized in the Schlemms canal of the eye where endothelial cells that cover the inner vessel wall are subjected to the hydrodynamic pressure gradients exerted by the aqueous humor outflow. These cells form fluid-filled dynamic outpouchings of their basal membrane called giant vacuoles. The inverse of giant vacuoles are reminiscent of cellular blebs, extracellular cytoplasmic protrusions triggered by local temporary disruption of the contractile actomyosin cortex. Inverse blebbing has been first observed experimentally during sprouting angiogenesis, but its underlying physical mechanisms are poorly understood. Here, we identify giant vacuole formation as inverse blebbing and formulate a biophysical model of this process. Our model elucidates how cell membrane mechanical properties affect the morphology and dynamics of giant vacuoles and predicts coarsening akin to Ostwald ripening between multiple invaginating vacuoles. Our results are in qualitative agreement with observations from the formation of giant vacuoles during perfusion experiments. Our model not only elucidates the biophysical mechanisms driving inverse blebbing and giant vacuole dynamics, but also identifies universal features of the cellular response to pressure loads that are relevant to many experimental contexts. Significance statementHuman Schlemms canal endothelial cells in physiological conditions are subjected to a pressure gradient caused by the flow of aqueous humor in the basal-to-apical direction across the endothelium leading to the formation of cellular outpouchings called giant vacuoles. The physical mechanisms regulating giant vacuole formation are unknown. By describing giant vacuoles as inward blebs, we formulate a model of their growth and collapse that captures the characteristic features observed experimentally. Our theory reveals that the abrupt increase in surface tension caused by membrane stretching, which is required to accommodate the large areal strains locally induced by inward blebbing, limits giant vacuole growth. The model also predicts a competition between multiple invaginating vacuoles in which big vacuoles win over small vacuoles.

biophysics↗

bioRxiv2022

Mapping nanoscale forces and potentials in live cells with microsecond 3D single-particle tracking

3D single-particle tracking has the potential to resolve the molecular level forces which dictate particle motion in biological systems. However, the information gleaned from 3D single-particle tracking often cannot resolve underlying nanoscale potentials due to limited spatiotemporal resolution. To this end, we introduce an active-feedback 3D tracking microscope that utilizes silver nanoparticles (AgNPs) as probes to study intricate biophysical events in live cells at the nanometer and microsecond scales. Due to this extremely high and durable scattering photon flux of the plasmonic particles, 1 MHz sampling frequency at nanometer precision in all three dimensions can be achieved over an unlimited observation times. In this work, we applied microsecond-sampling, active-feedback 3D single-particle tracking to investigate the interaction between AgNPs and nanoscale filopodium on the live-cell surface. The nanometer precision and microsecond sampling revealed that TAT peptide modified particles visit and dwell at local "hot spots" on the filopodium surface. The high sampling rate further enabled the calculation of the local forces and potentials within these nanoscale hotspots on the cylindrical surface of live cell filopodia. This study presents a promising tool to investigate intracellular biophysical events with unprecedented spatiotemporal resolution and a pipeline to study nanoscale potentials on three-dimensional cellular structures.

biophysics↗

bioRxiv2022

Single particle profiler for measuring properties of nano-sized bioparticles

It is technically challenging to study the content and properties of nanoscale bioparticles in a high-throughput and single-molecule manner. We developed a high-throughput analysis method, called single particle profiler (SPP) that provides single-particle information on content and biophysical properties of thousands of particles. We applied SPP to measure the mRNA encapsulation efficiency of lipid nanoparticles, viral binding efficiency of different nanobodies and biophysical heterogeneity of liposomes, lipoproteins, exosomes and viruses.

biophysics↗

bioRxiv2022

A Closed-Form Adaptation of the Hodgkin-Huxley Membrane Potential and its Synthesis to a Novel Electric Circuit.

In a succession of journal papers published over 65 years ago, Sir Alan Lloyd Hodgkin and Sir Andrew Fielding Huxley discovered what now forms our contemporary understanding of excitation in nerve, and how axons conduct the action potential. Hodgkin and Huxley demonstrated that the nerve action potential is the result of a depolarizing event across a cell membrane. In an elegant theoretical framework, they established that when this depolarization event is complete, an abrupt increase in voltage gets produced that propagates longitudinally along the axon, accompanied by changes in axial conductance. Notwithstanding the elegance of Hodgkin and Huxleys incisive and explicative series of discoveries, their model is relatively complex, relies on no small number of stochastic factors, and has no analytical solution; solving for the membrane action potential and the ionic currents requires integrations approximated using numerical methods. In this paper, we present a closed-form adaptation of the Hodgkin-Huxley membrane voltage potential. The basis of our model is rooted in core conductor theory and the cable properties of neurons, with fitting parameters adapted to the classical Hodgkin-Huxley model of excitation in nerve. From this model we synthesize a novel analog circuit that simulates the dynamics of a single action potential bioelectrically equivalent to the classical Hodgkin-Huxley membrane potential. The primary novelty of our model is that it offers a bioconductive, thermodynamic, and electromagnetic explanation of how an action potential propagates in nerve in a single mathematical construct. This is in contrast to the traditional Hodgkin-Huxley equations of ionic hypothesis, which are not analytically compliant. Computational results of our model are supported by well-established quantitative descriptions of Hodgkin-Huxleys voltage response in the membrane of an axon. Our findings provide a mechanistic understanding of how intracellular conductance, the thermodynamics of magnetization, and current modulation function together to generate excitation in nerve in a unified closed-form description. In the same manner with Hodgkin-Huxleys findings, the model presented here corroborates (1) that the action potential is the result of a depolarizing event across a cell membrane; (2) that a complete depolarization event is followed by an abrupt increase in voltage that propagates longitudinally along the axon; (3) that the latter is accompanied by a considerable increase in membrane conductance. The work presented in this paper provides compelling evidence that three basic factors contribute to the propagated signaling in the membrane of an axon in a single, closed-form model. From our model, we synthesize a novel analog conductance-level circuit that simulates the dynamics of a single action potential bioelectrically equivalent to the classical Hodgkin-Huxley membrane potential. Its anticipated this work will compel those in biophysics, physical biology, and in the computational neurosciences to probe deeper into the classical and quantum features of membrane magnetization and signaling. Furthermore, its hoped that subsequent investigations of this sort will be advanced by the computational features of this model without having to resort to numerical methods of analysis. AttributionA portion of this work is reprinted from R.F. Melendy, Resolving the biophysics of axon transmembrane polarization in a single closed-form description [1]. Journal of Applied Physics, 118(24), Copyright (C) (2015); and from R.F. Melendy, A subsequent closed-form description of propagated signaling phenomena in the membrane of an axon [2]. AIP Advances, 6(5), Copyright (C) (2016), with the permission of AIP Publishing. Said published works are copyright protected by Robert. F. Melendy, Ph.D., and the AIP journals in which these articles appear. Under [§]107 of the Copyright Act of 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Nonprofit, educational (i.e., teaching, scholarship, and research) or personal use tips the balance in favor of fair use. SummaryThis work provides evidence that three basic factors contribute to propagated signaling in the membrane of an axon. The contributing factors are unified in a closed-form description. From this closed-form model we synthesize a novel analog circuit that simulates the dynamics of a single action potential that is bioelectrically equivalent to the classical Hodgkin-Huxley membrane potential.

biophysics↗

bioRxiv2022

A molecular mechanism for membrane chaperoning by a late embryogenesis abundant protein

Environmental stress can result in substantial damage to proteins, membranes, and genetic material, impacting organismal survival1-3. Stress tolerance can be conferred by intrinsically disordered proteins (IDPs)4 that lack stable tertiary structure. IDPs from the large family of late embryogenesis abundant (LEA) proteins confer a fitness advantage when heterologously expressed5,6. Such protection suggests a general molecular function leading to stress tolerance, although the mechanisms remain unclear. Here, we report that a tardigrade LEA protein that confers stress tolerance in yeast acts as a molecular chaperone for the mitochondrial membrane. This protein, named HeLEA1, localizes to the mitochondrial matrix, and harbors conserved LEA sequence motifs that undergo dynamic disorder-to-helical transition upon binding to negatively charged membranes. Yeast expressing HeLEA1 show increased mitochondrial membrane fluidity, increased membrane potential, and enhanced tolerance to hyperosmotic stress under non-fermentative growth without significantly altering mitochondrial lipid composition or triggering a generic stress response. We demonstrate that membrane binding ameliorates excess surface tension, possibly by stabilizing lipid packing defects. Evolutionary analysis suggests that HeLEA1 homologs localize to different membrane-bound organelles and share similar sequence and biophysical features. We suggest that membrane chaperoning by LEA proteins represents a general biophysical solution that can operate across the domains of life.

biophysics↗

bioRxiv2022

Dynamics of asymmetric membranes and interleaflet coupling as intermediates in membrane fusion

Membrane fusion is a tool to increase the complexity of model membrane systems. Here, we use silica nanoparticles to fuse liquid-disordered DOPC giant GUVs and liquid-ordered DPPC:Cholesterol (7:3) GUVs. After fusion, GUVs display large membrane domains as confirmed by fluorescence confocal microscopy. Laurdan spectral imaging of the membrane phases in the fused GUVs shows differences compared to the initial vesicles indicating some lipid redistribution between phase domains as dictated by the tie lines of the phase diagram. Remarkably, using real-time confocal microscopy we were able to record the dynamics of formation of asymmetric membrane domains in hemifused GUVs and detected interleaflet coupling phenomena by which the DOPC-rich liquid-disordered domains in outer monolayer modulates the phase state of the DPPC:Cholesterol inner membrane leaflet which transitions from liquid-ordered to liquid-disordered phase.. We find that internal membrane stresses generated by membrane asymmetry enhance the efficiency of full fusion compared to our previous studies on symmetric vesicle fusion. Furthermore, under these conditions, the liquid disordered monolayer dictates the bilayer phase state of asymmetric membrane domains in >90% of observed cases. By comparison to the findings of previous literature, we suggest that which monolayer phase dominates the bilayer properties could be a mechanoresponsive signalling mechanism sensitive to the local membrane environment. Statement of SignificanceNatural biomembranes are highly asymmetric in lipid composition between the two leaflets of its bilayer structure. While the majority of membrane biophysics studies are conducted on symmetric lipid bilayers, it has become increasingly apparent that these asymmetric lipid compositions have a strong impact on the overall properties and behaviours of the membrane. However, achieving controlled membrane asymmetry in artificial model membranes is non-trivial, making the study of related biophysical mechanisms challenging. Here, we present an experimental framework to image the dynamics of asymmetric membrane domains formed as intermediates during membrane fusion of giant unilamellar vesicles (GUVs) triggered by silica nanoparticles. We directly observe interleaflet coupling of the phases in asymmetric membranes, where the liquid disordered domains most commonly dominate. By comparison with other literature on asymmetric membranes, this may indicate that the phase state of asymmetric membranes can be mechanoresponsive to its local environment. Furthermore, enhanced efficiency of full fusion of these GUV membranes indicates that stresses generated by membrane asymmetry can promote the formation of the full fusion pore during vesicle fusion processes.

biophysics↗

bioRxiv2022

Vertical growth dynamics of biofilms

During the biofilm life cycle, bacteria attach to a surface then reproduce, forming crowded, growing communities. Many theoretical models of biofilm growth dynamics have been proposed; however, difficulties in measuring biofilm height accurately across relevant time and length scales have prevented testing these models or their biophysical underpinnings empirically. Using white light interferometry, we measure the heights of microbial colonies with nanometer precision from inoculation to their final equilibrium height, producing a novel and detailed empirical characterization of vertical growth dynamics. We show that models relying on logistic growth or nutrient depletion fail to capture biofilm height dynamics on short and long time scales. Our empirical results support a simple model inspired by the fact that biofilms only interact with the environment through their interfaces. This interface model captures the growth dynamics from short to long time scales (10 minutes to 14 days) of diverse microorganisms, including prokaryotes like gram-negative and gram-positive bacteria and eukaryotes like aerobic and anaerobic yeast. This model provides heuristic value, highlighting the biophysical constraints that limit vertical growth as well as establishing a quantitative model for biofilm development.

biophysics↗

bioRxiv2022

Caveolae govern plasma membrane mechanics to protect cells against EDIN B-induced transcellular tunnel formation and lethality from S. aureus septicaemia

Large transcellular pores elicited by bacterial mono-ADP-ribosyltransferase (mART) exotoxins inhibiting the small RhoA GTPase compromise the endothelial barrier. Recent advances in biophysical modeling point towards membrane tension and bending rigidity as the minimal set of mechanical parameters determining the nucleation and maximal size of transendothelial cell macroaperture (TEM) tunnels induced by bacterial RhoA-targeting mART exotoxins. We report that cellular depletion of caveolin-1, the membrane-embedded building block of caveolae, and depletion of cavin-1, the master regulator of caveolae invaginations, increase the number of TEMs per cell. The enhanced occurrence of TEM nucleation events correlates with a reduction of cell height, due to the increase of cell spreading and decrease of cell volume, which, together with the disruption of RhoA-driven F-actin meshwork, favor membrane apposition for TEM nucleation. Strikingly, caveolin-1 specifically controls the opening speed of TEMs leading to their dramatic 5.4-fold larger widening. Consistent with the increase of TEM density and width in siCAV1 cells, we record a higher lethality in caveolin-1-deficient mice subjected to a catalytically active mART exotoxin targeting RhoA during staphylococcal bloodstream infection. Combined theoretical modeling with independent biophysical measurements of plasma membrane bending rigidity point toward a specific contribution of caveolin-1 to membrane stiffening in addition to the role of cavin-1/caveolin-1-dependent caveolae in the control of membrane tension homeostasis.

biophysics↗

bioRxiv2022

Effect of leaflet asymmetry on mechanical properties of lipid bilayers with phosphatidic acid

The asymmetry of membranes has a significant impact on their biophysical characteristics and behavior. This study investigates the composition and mechanical properties of symmetric and asymmetric membranes in giant unilamellar vesicles (GUVs) made of phosphatidylcholine (POPC) and phosphatidic acid (POPA). A combination of fluorescence quantification, zeta potential measurements, micropipette aspiration and bilayer molecular dynamics simulations are used to characterize these membranes. The outer leaflet composition in vesicles is found consistent across the two preparation methods we employed, namely electroformation and inverted emulsion transfer. However, characterizing the inner leaflet poses challenges. Micropipette aspiration of GUVs show that oil residues do not substantially alter membrane elasticity, but simulations reveal increased membrane thickness and decreased interleaflet coupling in the presence of oil. Asymmetric membranes with a POPC:POPA mixture in the outer leaflet and POPC in the inner leaflet display similar stretching elasticity values to symmetric POPC:POPA membranes, suggesting potential POPA insertion into the inner leaflet during vesicle formation and suppressed asymmetry. The inverse compositional asymmetry, with POPC in the outer leaflet and POPC:POPA in the inner yield less stretchable membranes with higher compressibility modulus compared to their symmetric counterparts. Challenges in achieving and predicting compositional correspondence highlight the limitations of phase-transfer-based methods. Additionally, caution is advised when using fluorescently labeled lipids (even at low fractions of 0.5 mol%), as unexpected gel-like domains in symmetric POPC:POPA membranes were observed only with a specific type of labeled DOPE (dioleoylphosphatidylethanolamine) and the same fraction of unlabeled DOPE. The latter suggest that such phase separation may result from interactions between lipids and membrane fluorescent probes. Overall, this study underscores the complexity of factors influencing GUV membrane asymmetry, emphasizing the need for further research and improvement of characterization techniques. SIGNIFICANCEAsymmetrically charged lipid bilayer models are superior to commonly used symmetrical ones, exhibiting naturally present asymmetry, thereby exhibiting a more adequate range of biophysical membrane characteristics better reflecting biological membranes. This study focuses on the mechanical properties of phosphatidic acid (PA)-enriched membranes, a crucial lipid for cellular lipid metabolism, e.g. glycerophospholipid synthesis, and for signal transduction. Micropipette aspiration, fluorescent PA-sensor, and zeta potential studies demonstrate that asymmetric membranes are less stretchable than symmetric ones. Accompanying in silico studies on the symmetric membranes confirm that oil impurities do not influence the membrane stretching elasticity but increase its thickness and decrease the coupling of the two leaflets, which sheds light on the elastic behavior of experimental models of asymmetric lipid bilayers.

biophysics↗

bioRxiv2022

Assessing in vivo the impact of gene context on transcription through DNA supercoiling

Gene context can have significant impact on gene expression but is currently not integrated in quantitative models of gene regulation despite known biophysical principles and quantitative in vitro measurements. Conceptually, the simplest gene context consists of a single gene framed by two topological barriers, known as the twin transcriptional-loop model, which illustrates the interplay between transcription and DNA supercoiling. In vivo, DNA supercoiling is additionally modulated by topoisomerases, whose modus operandi remains to be quantified. Here, we bridge the gap between theory and in vivo properties by realizing in Escherichia coli the twin transcriptional-loop model and by measuring how gene expression varies with promoters and distances to the topological barriers. We find that gene expression depends on the distance to the upstream barrier but not to the downstream barrier, with a promoter-dependent intensity. We rationalize these findings with a first-principle biophysical model of DNA transcription. Our results are explained if TopoI and gyrase both act specifically, respectively upstream and downstream of the gene, with antagonistic effects of TopoI, which can repress initiation while facilitating elongation. Altogether, our work sets the foundations for a systematic and quantitative description of the impact of gene context on gene regulation.

biophysics↗

bioRxiv2022

Lysosomal calcium loading promotes arrhythmias by potentiating ryanodine receptor release

Spontaneous calcium release by ryanodine receptors (RyRs) due to intracellular calcium overload results in delayed afterdepolarisations, closely associated with life-threatening arrhythmias. In this regard, inhibiting lysosomal calcium release by two-pore channel 2 (TPC2) knockout has been shown to reduce the incidence of ventricular arrhythmias under {beta}-adrenergic stimulation. However, mechanistic investigations into the role of lysosomal function on RyR spontaneous release remain missing. We investigate the calcium handling mechanisms by which lysosome function modulates RyR spontaneous release, and determine how lysosomes are able to mediate arrhythmias by its influence on calcium loading. Mechanistic studies were conducted using a population of biophysically-detailed mouse ventricular models including for the first time modelling of lysosomal function, and calibrated by experimental calcium transients modulated by TPC2. We demonstrate that lysosomal calcium uptake and release can synergistically provide a buffering pathway of fast calcium transport, by which lysosomal calcium release primarily modulates sarcoplasmic reticulum (SR) calcium reuptake and RyR release. Enhancement of this lysosomal transport pathway promoted RyR spontaneous release by elevating the SR-junction calcium gradient. In contrast, blocking either lysosomal calcium uptake or release revealed an antiarrhythmic impact. Under conditions of calcium overload, our results indicate that these responses are strongly modulated by intercellular variability in L-type calcium current, RyR release, and SERCA reuptake. Altogether, our investigations identify that lysosomal calcium handling directly influences RyR spontaneous release by regulating the SR-junction calcium gradient, suggesting antiarrhythmic strategies and identifying key modulators of lysosomal proarrhythmic action. Statement of SignificanceDelayed afterdepolarisations arising from spontaneous RyR calcium release are an important risk factor for arrhythmogenesis. Inhibiting lysosomal calcium release by TPC2-KO reduces the propensity for ventricular arrhythmias. However, understanding downstream effects of lysosomal calcium release on spontaneous RyR release is lacking. Understanding lysosomes as arrhythmia sources requires alternative approaches to controlled laboratory techniques: these restrain variability experimentally and statistically. Our study presents two methodological novelties by focusing on calibration with experimental findings using a population of biophysically-detailed models and incorporating lysosomal mechanisms. Lysosomal calcium handling promotes RyR spontaneous release by elevating the SR-junction calcium gradient. Blocking lysosomal function uncovers an antiarrhythmic strategy. Lysosome-release proarrhythmic risk is determined by synergistic enhancements of lysosomal uptake with RyR release or L-type calcium current.

biophysics↗

bioRxiv2022

Engineered molecular sensors of cell surface crowding

Cells mediate interactions with the extracellular environment through a crowded assembly of transmembrane proteins, glycoproteins and glycolipids on their plasma membrane. The extent to which surface crowding modulates the biophysical interactions of ligands, receptors, and other macromolecules is poorly understood due to the lack of methods to quantify surface crowding on native cell membranes. In this work, we demonstrate that physical crowding on reconstituted membranes and live cell surfaces attenuates the effective binding affinity of macromolecules such as IgG antibodies in a surface crowding-dependent manner. We combine experiment and simulation to design a crowding sensor based on this principle that provides a quantitative readout of cell surface crowding. Our measurements reveal that surface crowding decreases IgG antibody binding by 2-20 fold in live cells compared to a bare membrane surface, resulting in a cell surface osmotic pressure opposing binding of 1 - 4 kPa. Our sensors show that sialic acid, a negatively charged monosaccharide, contributes disproportionately to red blood cell surface crowding via electrostatic repulsion, despite occupying only ~1% of the total cell membrane by mass. We also observe significant differences in surface crowding for different cell types and find that expression of single oncogenes can both increase and decrease crowding, suggesting that surface crowding may be an indicator of both cell type and state. Our high-throughput, single-cell measurement of cell surface osmotic pressure may be combined with functional assays to enable further biophysical dissection of the cell surfaceome. Significance StatementCells interact with each other and the extracellular environment through a crowded assembly of polymers on their plasma membranes. The high density of these surface polymers can generate physical crowding that impacts cell function. However, tools to quantify the extent and effect of surface crowding on live cell membranes are lacking. In this work, we design macromolecular sensors that act as direct reporters of cell surface crowding. We combine experiments on reconstituted and live cell surfaces with molecular dynamics simulations to provide a mechanistic understanding of how cell surface crowding reduces binding of soluble molecules, and we show that crowding varies significantly with cell type and is affected by oncogene expression.

biophysics↗

bioRxiv2022

Lipid Driven Inter-leaflet Coupling of Plasma Membrane Order Regulates FcεRI Signaling in Mast Cells

Engagement of high affinity immunoglobulin E (IgE) receptor Fc{varepsilon}RI with extracellular, multivalent antigen (Ag) stabilizes co-existing ordered and disordered phases in the inner leaflet of the plasma membrane. This optimally controls biochemical interactions between signaling components required for transmembrane (TM) signaling in mast cells. The biophysical organization of the resting inner leaflet is poised to respond appropriately to this extracellular stimulation. The resting inner leaflet is generally less ordered than the outer leaflet, with a lipid composition that does not spontaneously phase separate in model membranes. We proposed that coupling between the two leaflets mediates separation into different phase-like domains in the inner leaflet. To test this hypothesis in live cells, we first established a straightforward approach to evaluate changes in membrane order due to inter-leaflet coupling by measuring inner leaflet diffusion of phase-specific lipid probes with Imaging Fluorescence Correlation Spectroscopy (ImFCS) before and after methyl--cyclodextrin (mCD)-catalyzed exchange of outer leaflet lipids (LEX) with exogenous order- or disorder-promoting phospholipids. We examined the functional impact of LEX by monitoring two Ag-stimulated cellular responses, namely early-stage recruitment of Syk kinase to the inner leaflet and late-stage exocytosis of secretory granules (degranulation). Based on changes in probe diffusion, we observed global increase or decrease of inner leaflet order when outer leaflet is exchanged with order or disorder promoting lipids, respectively, in unstimulated cells. Furthermore, the degree of stimulated Syk recruitment and degranulation correlates with the inner leaflet order of the resting cells, which was varied using LEX. Overall, combined LEX and ImFCS platform provides strong evidence of lipid-based control of stimulated TM signaling in live mast cells. In addition, our functional results imply that resting-state lipid composition and ordering of the outer leaflet sets the ordering of the inner leaflet, likely via interleaflet coupling, and correspondingly modulates TM signaling initiated by antigen-activated IgE-Fc{varepsilon}RI. STATEMENT OF SIGNIFICANCECoupling between plasma membrane leaflets, which are biochemically and biophysically asymmetric, results in a steady-state membrane organization that is thought to play fundamental roles in cellular functions. Here, we present a straightforward assay built around mCD-catalyzed lipid exchange (LEX) and Imaging Fluorescence Correlation Spectroscopy (ImFCS) to quantitatively characterize a novel, lipid-driven, interleaflet coupling mechanism and its functional impact in live mast cells. We showed that elevation of outer leaflet lipid order induces ordering throughout the inner leaflet in resting cells. This ordering enhances protein-based reactions during Ag-stimulated Fc{varepsilon}RI signaling and consequent cellular response. Overall, we provide a compelling evidence of functional relevance of plasma membrane organizational heterogeneity driven by lipid-based interleaflet coupling.

biophysics↗

bioRxiv2022

Lipid remodeling by hypoxia aggravates migratory potential in pancreatic cancer while maintaining membrane homeostasis

Membranes are crucial cell components underlying optimal cellular functioning under diverse conditions including cancer. The membrane physiology requires acute maintenance of biophysical properties and a regulation of cellular lipidome. Homeostatic adaptation of membranes to temperature, pressure and anti-cancer drugs is a well-recognized. However, how the same is regulated under the influence of oxygen deprivation in pancreatic cancers-highly hypoxic cancer- is not known. Here, we report robust lipidomic remodelling in response to HIF-1 induction in pancreatic cancer cells and significant accumulation of lipid droplets. The lipidome rewiring span changes across various lipid classes, levels of unsaturation and acyl chain lengths. Interestingly, despite extensive lipidome alteration, cellular membrane homeostatic response ensures no major modulation of membrane biophysical properties underlying enhanced migratory potential. The correlation of lipidome changes, with pathway analysis and proteomics provide the basis for mutually exclusive regulation of lipidome and membrane properties. These findings help to understand the hypoxic regulation of pancreatic membrane homeostasis.

biophysics↗

bioRxiv2022

B2LiVe, a label-free 1D-NMR method to quantify the binding of amphitropic peptides or proteins to membrane vesicles

Amphitropic proteins and peptides reversibly partition from solution to membrane, a key process that regulates their functions. Experimental approaches, such as fluorescence and circular dichroism, are classically used to measure the partitioning of amphitropic peptides and proteins into lipid bilayers, yet hardly usable when the peptides or proteins do not exhibit significant polarity and/or conformational changes upon membrane binding. Here, we describe B2LiVe (i.e., Binding to Lipid Vesicles), a simple, robust, and widely applicable NMR method to determine the solution-to-membrane partitioning of unlabeled proteins or peptides. The experimental strategy proposed here relies on previously described proton 1D NMR fast pulsing techniques with selective adiabatic pulses. Membrane partitioning induces a large line broadening leading to a progressive loss of protein signals, and therefore, the decrease of the NMR signal directly measures the fraction of membrane-bound protein. The B2LiVe method uses low polypeptide concentrations and has been validated on several membrane-interacting peptides and proteins, ranging from 3 to 54 kDa, with membrane vesicles of different sizes and various lipid compositions. MotivationCharacterization of the interaction of peptides and proteins with lipid membranes is involved in various biological processes and is often challenging for polypeptides which do not possess intrinsic fluorophores, do not exhibit significant structural content changes, as well as for those characterized by low affinities for membranes. To meet these challenges, we have developed a simple and robust label-free NMR-based experimental approach, named B2LiVe, to measure the binding of polypeptides to lipid vesicles. The experimental strategy relies on previously described proton 1D NMR fast pulsing techniques with selective adiabatic pulses to excite the amide resonances. B2LiVe is a label-free method based on the observation of amide hydrogen nuclei which are naturally present in all protein and peptide backbones. Our results validate the B2LiVe method and indicate that it compares well with established technics to quantify polypeptide-membrane interactions. Overall, B2LiVe should efficiently complement the arsenal of label-free biophysical assays available to characterize protein-membrane interactions. In briefWe describe a robust label-free NMR-based experimental approach (B2LiVe) to measure interactions between peptides or proteins with membranes. The validity of this approach has been established on several polypeptides and on various membrane vesicles. The B2LiVe method efficiently complements the arsenal of label-free biophysical techniques to characterize protein-membrane interactions. HighlightsB2LiVe is a simple and robust NMR-based method to quantify affinity of proteins and peptides for membranes B2LiVe is a label-free approach that relies on proton 1D NMR fast pulsing techniques with selective excitation of amide resonances B2LiVe has been validated on several membrane-interacting peptides and proteins B2LiVe coupled to DOSY can pinpoint the presence within a membrane-bound protein of polypeptide segments remaining in solution

biophysics↗