Biology subjects

Pezeshkian, W.

Publications and source records attributed to Pezeshkian, W..

15 recordsLinked to original sources

bioRxiv2026

3D Printed X-ray Compatible Microfluidics for Online Characterization of Hexosomes: A Synchrotron SAXS-on-Chip Study with Molecular Dynamics Insights

Online structural characterization during microfluidic lipid self-assembly is important for understanding and controlling the formation of nonlamellar liquid crystalline nanodispersions. Here, we report a 3D-printed, X-ray-compatible hydrodynamic flow-focusing microfluidic chip with variable channel dimensions, integrated with synchrotron small-angle X-ray scattering (SAXS), for position-resolved SAXS-on-chip monitoring of Ca2+-triggered hexosome formation. Hexosomes were produced under continuous flow by mixing ethanolic solutions of docosahexaenoic acid monoglyceride (MAG-DHA), the negatively charged phosphatidylglycerol DOPG, and -tocopherol with Ca2+-containing PIPES buffer. Online SAXS-on-chip measurements detected three Bragg reflections characteristic of the internal inverse hexagonal (H2) phase on a tens-of-milliseconds residence-time scale, revealing rapid structural evolution during microfluidic mixing. Complementary ex situ SAXS identified the DOPG/Ca2+ molar ratio as a key parameter modulating the direct vesicle-to-hexosome transformation and the compactness of the internal H2 nanostructures. Dynamic light scattering showed that the flow-rate ratio modulated nanoparticle size, yielding hexosomes with mean hydrodynamic diameters in the range of approximately 120-175 nm and polydispersity index values down to 0.14 at a total flow rate of 200 {micro}L min-1. Cryo-TEM revealed coexistence of hexosomes and vesicular nanostructures, highlighting morphological heterogeneity, while Coarse-Grained Molecular Dynamics simulations supported a central role of Ca2+-DOPG association in promoting a direct lamellar-H2 phase transition. Overall, this work shows that 3D-printed SAXS-compatible microfluidics can integrate continuous production with online structural characterization, providing a basis for future formulation and process optimization of drug-loaded cubosomes, hexosomes, and related nonlamellar liquid crystalline nanodispersions.

biophysics↗

bioRxiv2026

Insights into Spontaneous Curvature in Complex Membranes from Dual-Tether Pulling Experiments

Spontaneous curvature characterizes the propensity of a membrane to bend in a specific direction. It is therefore crucial in the multitude of cellular processes that involve membrane shape remodelling. Yet, experimentally quantifying the spontaneous curvature remains a significant challenge in complex biological membranes, as their heterogeneity causes ambiguities in spontaneous curvatures physical interpretation. Here, we introduce a general experiment-simulation framework to measure an effective spontaneous curvature using dual-direction tether pulling from cell-attached giant plasma membrane vesicles (GPMVs) and mesoscale simulations. For homogeneous membranes, the force difference between inward and outward pulls yields a tension-independent readout of spontaneous curvature. We show that this continuum observable can be generalized to the mean of the spontaneous curvature in a heterogeneous membrane, independent of the underlying microscopic spontaneous curvature distribution. Applied to HEK-derived GPMVs, a baseline negative spontaneous curvature of the plasma membrane is revealed. Sucrose treatment and extracellular addition of Annexin A5 systematically shift the effective spontaneous curvature, while mucin reporter overexpression does not measurably alter it under the conditions tested. We also measure the curvature imprint of individual fluorescently tagged proteins through a sorting index. Benchmarked with Annexin A5, our scheme recovers curvature imprints very similar to previous atomistic molecular dynamics simulations. Taken together this makes spontaneous curvature accessible as a directly measurable material property of native membranes and membrane-proteins, enabling quantitative studies of membrane remodelling across diverse cellular processes.

biophysics↗

bioRxiv2025

Multi-body Fluctuation-Induced Forces Between Membrane Proteins: Insights from Mesoscale Simulations

The spatial organization of membrane-associated proteins is essential for a wide range of cellular processes, including signal transduction, endocytosis, and cell adhesion. While protein clustering can be driven by direct short-range forces, indirect interactions mediated by the membrane itself, particularly those arising from thermal shape fluctuations, are potentially sufficient to drive clustering in the absence of direct binding. In this study, we investigate how fluctuation-induced interactions contribute to the lateral organization of membrane inclusions using mesoscale simulations. Our approach is based on dynamically triangulated surfaces and is parameterized by three mesoscale quantities that capture local membrane rigidification and curvature induction. We show that local membrane rigidification drives the non-random organization of membrane inclusions and, above a critical concentration threshold, induces a fully segregated state. This threshold depends strongly on the magnitude of the induced rigidification. We further demonstrate that membrane tension only weakly affects lateral organization away from the threshold but has a pronounced effect near it. Extending our analysis to spherical geometries, we obtain similar behavior relevant to experiments on small unilamellar vesicles. In mixed systems containing two types of stiff inclusions, we find that stiffer proteins act as nucleation centers for softer proteins. Finally, we show that protein-induced curvature, combined with fluctuation-mediated clustering, can drive membrane shape remodeling. Our results are consistent with previous findings while additionally extending the characterization across the full parameter space and to new conditions of direct biological relevance. Overall, our findings suggest that local suppression of membrane-shape fluctuations by proteins generates effective attractive forces capable of driving protein reorganization on membranes, with broad implications for cell biology and the design of membrane-associated nanoparticles. STATEMENT OF SIGNIFICANCEThis study demonstrates that membrane protein lateral organization can emerge solely from membrane-mediated interactions driven by thermal shape fluctuations, independent of direct protein-protein interactions. Although theoretical models have long predicted such forces, their non-additive nature and apparent weakness left it unclear whether they could overcome mixing entropy. Here, we show that these forces can indeed be sufficient to drive clustering and, crucially, that they promote the formation of heterogeneous protein assemblies. These findings suggest that protein accumulations observed in experimental membrane-imaging data may arise from membrane fluctuations rather than direct affinities, highlighting the need for careful consideration when interpreting membrane-imaging experiments.

biophysics↗

bioRxiv2025

Amyloidogenic proteolysis of APP regulates glutamatergic presynaptic function

Disease causing mutations of Alzheimers disease (AD) point to dysregulations of APP proteolysis. During asymptomatic and early stages of AD, brain recordings revealed hyperexcitation reverting into over-inhibition as dementia progresses. Here, we show that endogenous APP and its proteolytic product APP-CTF{beta}, the precursors of A{beta}, accumulate preferentially at excitatory synapses. Using pharmacological treatments to modulate physiological concentrations of APP-CTF{beta} and A{beta}, we identify APP-CTF{beta} as a key regulator of glutamatergic synaptic transmission. Accumulation of APP-CTF{beta} increases the release probability of synaptic vesicles. Strikingly, monomeric A{beta} counteracts this APP-CTF{beta}-driven hyperexcitability. This suggests that therapeutic strategies clearing monomeric A{beta} could be detrimental during the early hyperexcitability phase of AD.

neuroscience↗

bioRxiv2025

Bringing the Genetically Minimal Cell to Life on a Computer in 4D

We present a whole-cell spatial and kinetic model for the 100 minute cell cycle of the genetically minimal bacterium, JCVI-syn3A. This is the first simulation of a complete cell cycle in 4D including all genetic information processes, metabolic networks, growth, and cell division. Integrating hybrid computational methods, dynamics of the morphological transformations were achieved. Growth is driven by synthesis of lipids and membrane proteins and constrained by new fluorescence imaging data. Chromosome replication and segregation is controlled by essential SMC and topoisomerase proteins in Brownian dynamics simulations with replication rates responding to dNTP pools from metabolism. The model captures the origin to terminus ratio measured in our DNA sequencing and recovers other experimental measurements like doubling time, mRNA half-lives, protein distributions, and ribosome counts. Because of stochasticity, each replicate cell is unique. Not only do we predict average behavior for partitioning to daughter cells, we predict the heterogeneity among them.

biophysics↗

bioRxiv2025

Helfrich Monte Carlo Flexible Fitting: physics-based, data-driven cell-scale simulations

Simulating entire cells represents the next frontier of computational biology. Achieving this goal requires methods that accurately describe cellular membranes across spatial and temporal scales. Although three-dimensional electron microscopy enables detailed membrane visualization, limitations on acquisition geometry, data quality, and field-of-view often result in fragmented membrane representations incompatible with simulations. To resolve this, here we introduce Helfrich Monte Carlo Flexible Fitting (HMFF), an approach that integrates experimental density data into physical simulations to determine membrane structure. Through the accompanying Mosaic software platform, we apply HMFF to influenza virus particles, Mycoplasma pneumoniae cells, and entire eukaryotic organelles. The resulting models enable multi-scale simulations spanning millions of lipids and proteins at experimentally determined positions, support quantitative morphological analysis, assess uncertainty in membrane localization, and reveal physical effects implicit in the data. Together, these capabilities establish a foundation for data-driven whole-cell simulations.

biophysics↗

bioRxiv2025

TS2CG as a membrane builder

Molecular dynamics (MD) simulations excel at capturing biological processes at the molecular scale but rely on a well-defined initial structure. As MD simulations now extend to whole-cell-level modeling, new tools are needed to efficiently build initial structures. Here, we introduce TS2CG version 2, designed to construct coarse-grained membrane structures with any desired shape and lateral organization. This version enables precise placement of lipids and proteins based on curvature preference, facilitating the creation of large, near-equilibrium membranes. Additional features include controlled pore generation and the placement of specific lipids at membrane edges for stabilization. Moreover, a Python interface allows users to extend functionality while maintaining the high performance of the C++ core. To demonstrate its capabilities, we showcase challenging simulations, including a Mobius strip membrane, a vesicle with lipid domain as continental plates (Martini globe), and entire mitochondrial membranes exhibiting lipid heterogeneity due to curvature, along with a comprehensive set of tutorials.

biophysics↗

bioRxiv2025

Complex mechanical response of stomatocyte morphology: Implications for the nuclear envelope.

Among the fascinating shapes that biomembranes exhibit are stomatocytes with multiple membrane necks, found for example in nuclear membranes and open autophagosomes. These morphologies, characterised by a high topological genus, can be visualised as spherical double membranes connected by neck-like structures. The necks are often occupied by specific biomolecular complexes, such as the nuclear pore complex, which divide the space into three distinct compartments. Understanding how the size of these necks responds to pressure gradients is fundamentally important for unravelling the influence of mechanical stimuli on traffic control through the necks, for example, in nuclear mechanosensing. In this work, we use computer simulations and theoretical analysis to investigate how neck size responds to variations in pressure or tension. Our findings reveal a two-phase behaviour: below a certain threshold, necks constrict as the pressure gradient increases, while above that threshold, they dilate. This response stems from the pure membranes mechanics and depends on the magnitude of the pressure gradient, the initial diameter of the neck and the membrane bending rigidity. We also provide a simple equation that links the threshold tension, the neck diameter and the bending rigidity, offering a useful tool to quickly assess different scenarios. Our results furthermore show that protein complexes in the neck partially counteract both constriction and dilation, stabilising neck size while preserving the same two-phase response to membrane tension. These findings uncover a promising, previously overlooked membrane property with implications for organelle shape and function, as well as for synthetic membrane design.

biophysics↗

bioRxiv2024

Integrative Molecular Dynamics Simulations Untangle Cross-Linking Data to Unveil Mitochondrial Protein Distributions

Cross-linking mass spectrometry (XL-MS) enables the mapping of protein-protein interactions on the cellular level. When applied to all compartments of mitochondria, the sheer number of cross-links and connections can be over-whelming, rendering simple cluster analyses convoluted and uninformative. To address this limitation, we integrate the XL-MS data, 3D electron microscopy data, and localization annotations with a supra coarse-grained molecular dynamics simulation to sort all data, making clusters more accessible and interpretable. In the context of mitochondria, this method, through a total of 6.9 milliseconds of simulations, successfully identifies known, suggests unknown protein clusters, and reveals the distribution of inner mitochondrial membrane proteins allowing a more precise localization within compartments. Our integrative approach suggests, that two so-far ambigiously placed proteins FAM162A and TMEM126A are localized in the cristae, which is validated through super resolution microscopy. Together, this demonstrates the strong potential of the presented approach. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=182 SRC="FIGDIR/small/612425v2_ufig1.gif" ALT="Figure 1"> View larger version (74K): org.highwire.dtl.DTLVardef@1a3236dorg.highwire.dtl.DTLVardef@16ad120org.highwire.dtl.DTLVardef@1c79bfdorg.highwire.dtl.DTLVardef@1d20e51_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOEntry for the Table of ContentsC_FLOATNO The approach combines cross-linking mass spectrometry, electron microscopy, and coarse-grained molecular dynamics simulations to map protein-protein interactions in mitochondria. This integration makes complex data clusters accessible, revealing protein distributions and localizations. Notably, it allows the localization of FAM162A and TMEM126A through super-resolution microscopy, showcasing the synergy of experimental and computational methods. C_FIG

biophysics↗

bioRxiv2023

Curvature-induced lipid sorting beyond the critical packing parameter

Over the last few decades, the spatial organization of biomembranes has received a lot of attention. With the fluid mosaic model, Singer and Nicolson proposed that biomembranes behave as two-dimensional fluids, allowing proteins and lipids to diffuse freely and thus react to external stimuli. Biological functionality and membrane organization are intricately linked to each other, however, how these organizations emerge is yet to be established. Here we use coarse-grained molecular dynamics simulations to explore the relationship between membrane shape and lateral organization at the nanoscale for a broad range of lipid mixtures. Our results illustrate that membrane curvature and lateral organization are intimately linked at the nanoscale and the relationship is much more complicated compared to the traditional views, in particular the lipid shape concept. Furthermore, we show that large membrane curvature can disrupt phase separation, line tension, and interleaflet coupling leading to non-intuitive lipid sorting. Our findings highlight how curvature-driven sorting can alter the phase behavior of lipid mixtures, which could be crucial for cellular functionality.

biophysics↗

bioRxiv2023

Mesoscale simulation of biomembranes with FreeDTS

We present FreeDTS software for performing computational research on biomembranes at the mesoscale. In this software, a membrane is represented by a dynamically triangulated surface equipped with vertex-based inclusions to integrate the effects of integral and peripheral membrane proteins. Several algorithms are included in the software to simulate complex membranes at different conditions such as framed membranes with constant tension, vesicles and high-genus membranes with various fixed volumes or constant pressure differences and applying external forces to membrane regions. Furthermore, the software allows the user to turn off the shape evolution of the membrane and focus solely on the organization of proteins. As a result, we can take realistic membrane shapes obtained from, for example, cryo-electron tomography and backmap them into a finer simulation model. In addition to many biomembrane applications, this software brings us a step closer to simulating realistic biomembranes with molecular resolution. Here we provide several interesting showcases of the power of the software but leave a wide range of potential applications for interested users.

biophysics↗

bioRxiv2021

A synthetic membrane shaper for controlled liposome deformation

Shape defines the structure and function of cellular membranes. In cell division, the cell membrane deforms into a dumbbell shape, while organelles such as the autophagosome exhibit stomatocyte shapes. Bottom-up in vitro reconstitution of protein machineries that stabilize or resolve the membrane necks in such deformed liposome structures is of considerable interest to characterize their function. Here we develop a DNA-nanotechnology-based approach that we call Synthetic Membrane Shaper (SMS), where cholesterol-linked DNA structures attach to the liposome membrane to reproducibly generate high yields of stomatocytes and dumbbells. In silico simulations confirm the shape-stabilizing role of the SMS. We show that the SMS is fully compatible with protein reconstitution by assembling bacterial divisome proteins (DynaminA, FtsZ:ZipA) at the catenoidal neck of these membrane structures. The SMS approach provides a general tool for studying protein binding to complex membrane geometries that will greatly benefit synthetic cell research.

synthetic biology↗

bioRxiv2021

Molecular architecture of SARS-CoV-2 envelope by integrative modeling

Despite tremendous efforts by the research community during the COVID-19 pandemic, the exact structure of SARS-CoV-2 and related betacoronaviruses remains elusive. Being a key structural component of the SARS-CoV-2 virion, the envelope encapsulates viral RNA and is composed of three structural proteins, spike (S), membrane (M), and envelope (E), which interact with each other and with the lipids acquired from the host membranes. Here, we developed and applied an integrative multiscale computational approach to model the envelope structure of SARS-CoV-2 with near atomistic detail, focusing on studying the dynamic nature and molecular interactions of its most abundant, but largely understudied, M protein. The molecular dynamics simulations allowed us to test the envelope stability under different configurations and revealed that the M dimers agglomerated into large, filament-like, macromolecular assemblies with distinct molecular patterns formed by Ms transmembrane and intravirion (endo) domains. These results are in good agreement with current experimental data, demonstrating a generic and versatile integrative approach to model the structure of a virus de novo. We anticipate our work to provide insights into critical roles of structural proteins in the viral assembly and integration, proposing new targets for the antiviral therapies.

biophysics↗

bioRxiv2020

Annexin A4 trimers are recruited by high membrane curvatures in Giant Plasma Membrane Vesicles

The plasma membrane of eukaryotic cells consists of a crowded environment comprised of a high diversity of proteins in a complex lipid matrix. The lateral organization of membrane proteins in the plasma membrane (PM) is closely correlated with biological functions such as endocytosis, membrane budding and other processes which involve protein mediated shaping of the membrane into highly curved structures. Annexin A4 (ANXA4) is a prominent player in a number of biological functions including plasma membrane repair. Its binding to membranes is activated by Ca2+ influx and it is therefore rapidly recruited to the cell surface near rupture sites where Ca2+ influx takes place. However, the free edges near rupture sites can easily bend into complex curvatures and hence may accelerate recruitment of curvature sensing proteins to facilitate rapid membrane repair. To analyze the curvature sensing behavior of curvature inducing proteins in crowded membranes, we quantifify the affinity of ANXA4 monomers and trimers for high membrane curvatures by extracting membrane nanotubes from giant plasma membrane vesicles (GPMVs). ANXA4 is found to be a sensor of negative membrane curvatures. Multiscale simulations furthermore predicted that ANXA4 trimers generate membrane curvature upon binding and have an affinity for highly curved membrane regions only within a well defined membrane curvature window. Our results indicate that curvature sensing and mobility of ANXA4 depend on the trimer structure of ANXA4 which could provide new biophysical insight into the role of ANXA4 in membrane repair and other biological processes.

biophysics↗

bioRxiv2017

C24 sphingolipids play a surprising and central role in governing cholesterol and lateral organization of the live cell plasma membrane

Mammalian cell sphingolipids, primarily with C24 and C16 acyl chains, reside in the outer leaflet of the plasma membrane. Curiously, little is known how C24 sphingolipids impact cholesterol and membrane microdomains. Here, we generated giant unilamellar vesicles and live mammalian cells with C24 or C16 sphingomyelin exclusively in the outer leaflet and compared microdomain formation. In giant unilamellar vesicles, we observed that asymmetrically placed C24 sphingomyelin suppresses microdomains. Conversely, C16 sphingomyelin facilitates microdomains. Replacing endogenous sphingolipids with C24 or C16 sphingomyelin in live HeLa cells has a similar impact on microdomains, characterized by FRET between GPI-anchored proteins: C24, but not C16, sphingomyelin suppresses submicron domains in the plasma membrane. Molecular dynamics simulations indicated that, when in the outer leaflet, the acyl chain of C24 sphingomyelin interdigitates into the opposing leaflet, thereby favouring cholesterol in the inner leaflet. We indeed found that cholesterol prefers the inner over the outer leaflet of asymmetric unilamellar vesicles (80/20) when C24 sphingomyelin is in the outer leaflet. However, when C16 sphingomyelin is in the outer leaflet, cholesterol is evenly partitioned between leaflets (50/50). Interestingly, when a mixture of C24/C16 sphingomyelin is in the outer leaflet of unilamellar vesicles, cholesterol still prefers the inner leaflet (80/20). Indeed, in human erythrocyte plasma membrane, where a mixture of C24 and C16 sphingolipids are naturally in the outer leaflet, cholesterol prefers the cytoplasmic leaflet (80/20). Therefore, C24 sphingomyelin uniquely interacts with cholesterol and governs the lateral organization in asymmetric membranes, including the plasma membrane, potentially by generating cholesterol asymmetry.\n\nStatement of SignificanceThe plasma membrane bilayer of mammalian cells has distinct phospholipids between the outer and inner leaflet, with sphingolipids exclusively in the outer leaflet. A large portion of mammalian sphingolipids have very long acyl chains (C24). Little is known how C24 sphingolipids function in the outer leaflet. Mutations in the ceramide synthase 2 gene is found to decrease C24. This severely perturbs homeostasis in mice and humans. Here, we investigated unilamellar vesicles and mammalian cells with C24 sphingomyelin exclusively in the outer leaflet. We provide evidence that outer leaflet C24 sphingomyelin suppresses microdomains in model membranes and live cells by partitioning cholesterol into the inner leaflet. We propose that C24 sphingolipids are critical to the function of the plasma membrane.

cell biology↗