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Fabian, B.

Publications and source records attributed to Fabian, B..

5 recordsLinked to original sources

A comparison of lipid diffusive dynamics in monolayers and bilayers in the context of interleaflet coupling

Cellular membranes are composed of lipids typically organized in a double-leaflet structure. Interactions between these two leaflets - often referred to as interleaflet coupling - play a crucial role in various cellular processes. Despite extensive study, the mechanisms governing such interactions remain incompletely understood. Here, we investigate the effects of interleaflet coupling from a specific point of view, i.e. by comparing diffusive dynamics in bilayers and monolayers, focusing on potential lipid-specific interactions between opposing leaflets. Through quantitative fluorescence microscopy techniques, we characterize lipid diffusion and mean molecular area in monolayers and bilayers composed of different lipids. Our results suggest that the observed decrease in bilayer lipid diffusion compared to monolayers depends on lipid identity. Furthermore, our analysis suggests that lipid acyl chain structure and spatial configuration at the bilayer may strongly influence interleaflet interactions and dynamics in bilayers. These findings provide insights into the role of lipid structure in mediating interleaflet coupling and underscore the need for further experimental investigations to elucidate the underlying mechanisms.

biophysics↗

Energetics of the Transmembrane Peptide Sorting by Hydrophobic Mismatch

Hydrophobic mismatch between a lipid membrane and embedded transmembrane peptides or proteins plays a role in their lateral localization and function. Earlier studies have resolved numerous mechanisms through which the peptides and membrane proteins adapt to mismatch, yet the energetics of lateral sorting due to hydrophobic mismatch has remained elusive due to the lack of suitable computational or experimental protocols. Here, we pioneer a molecular dynamics simulation approach to study the sorting of peptides along a membrane thickness gradient. Peptides of different lengths tilt and diffuse along the membrane to eliminate mismatch with a rate directly proportional to the magnitude of mismatch. We extract the 2-dimensional free energy profiles as a function of local thickness and peptide orientation, revealing the relative contributions of sorting and tilting, and suggesting their thermally accessible regimes. Our approach can readily be applied to study other membrane systems of biological interest where hydrophobic mismatch, or membrane thickness in general, plays a role. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/578561v2_ufig1.gif" ALT="Figure 1"> View larger version (77K): org.highwire.dtl.DTLVardef@e37bdeorg.highwire.dtl.DTLVardef@d94d1aorg.highwire.dtl.DTLVardef@54f1aeorg.highwire.dtl.DTLVardef@c6e0ef_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

OrganL: Dynamic Triangulation of Biomembranes using Curved Elements

We describe a method for simulating biomembranes of arbitrary shape. In contrast to other dynamically triangulated surface (DTS) algorithms, our method provides a rich, quasi tangent-continuous, yet local description of the surface. We use curved Nagata triangles, which we generalize to cubic order to achieve the requisite flexibility. The resulting interpolation can be constructed locally without iterations. This allows us to provide a parallelized and fine-tuned Monte Carlo implementation. As a first example of the potential benefits of the enhanced description, our method supports inhomogeneous lipid properties as well as lipid mixing. It also supports restraints and constraints of various types and is constructed to be as easily extensible as possible. We validate the approach by testing its numerical accuracy, followed by reproducing the known Helfrich solutions for shapes with rotational symmetry. Finally, we present some example applications, including curvature-driven demixing and stylized effects of proteins. Input files for these examples, as well as the implementation itself, are freely available for researchers under the name OrganL. O_TEXTBOXOur method provides a straightforward way to simulate any biomembrane geometry. It overcomes some of the limitations of previous dynamically triangulated surface (DTS) Monte Carlo schemes by providing a surface that contains an interpolant which allows to assign meaningful functions of curvature to almost every point of the discretization, yet keeps much of the simplicity of the common DTS schemes by not requiring any nonlocal information or iterations for its construction. Our tool is easily extensible and facilitates the simulation of complex lipid and protein compositions on membrane surfaces at any scale. C_TEXTBOX

biophysics↗

Experience-dependent plasticity of a highly specific olfactory circuit in Drosophila melanogaster

Drosophila melanogaster encounters a variety of odor cues signaling potentially harmful threats through-out its life, which are detected by highly specialized olfactory circuits enabling the animal to avoid them. We studied whether such crucial neuronal pathways are hard-wired or can be modulated by experience. Using long-term exposure to high concentrations of geosmin, an indicator of potentially lethal microorganisms, we demonstrate at the single-cell level that the underlying neuronal circuitry undergoes structural changes in the antennal lobe, while higher brain centers remain unaffected. In particular, second-order neurons show neurite extensions and synaptic remodeling after the exposure period, whereas olfactory sensory neurons and glia cells remain unaffected. Flies that were exposed to geosmin tolerate this innately aversive odorant in general choice and oviposition assays. We show that even a highly specific olfactory circuit is plastic and adaptable to environmental changes. HIGHLIGHTSO_LIThe highly specific geosmin circuit is modulated by experience-dependent plasticity C_LIO_LIPN dendritic extensions cause a volumetric increase of the geosmin-detecting glomerulus C_LIO_LILNs are remodeled while OSNs and glia cells remain unaffected by long-term exposure C_LIO_LIFlies adapt their behavior to an odorant signaling a potential lethal threat C_LI

neuroscience↗

Protein Crowding and Cholesterol Increase Cell Membrane Viscosity in a Temperature Dependent Manner

Shear viscosity of lipid membranes dictates how fast lipids, proteins, and other membrane constituents travel along the membrane and rotate around their principal axis, thus governing the rates of diffusion-limited reactions taking place at membranes. In this framework, the heterogeneity of biomembranes indicates that cells could regulate these rates via varying local viscosities. Unfortunately, experiments to probe membrane viscosity at various conditions are tedious and error prone. Molecular dynamics simulations provide a luring alternative, especially now that recent theoretical developments enable the elimination of finite-size effects in simulations. Here, we use different equilibrium methods to extract the shear viscosities of lipid membranes from both coarse-grained and all-atom molecular dynamics simulations. We systematically probe the variables relevant for cellular membranes, namely membrane protein crowding, cholesterol concentration, and the length and saturation level of the lipid acyl chains, as well as temperature. Our results highlight that in their physiologically relevant ranges, cholesterol concentration, protein concentration, and temperature have significantly larger effects on membrane viscosity than lipid acyl chain length and unsaturation level. Our work also provides the largest collection of membrane viscosity values from simulation to date, which can be used by the community to predict the diffusion coefficients or their trends via the Saffman-Delbruck description. Additionally, diffusion coefficients extracted from simulations exploiting periodic boundary conditions must be corrected for the finite-size effects prior to comparison with experiment, for which the present collection of viscosity values can readily be used. Finally, our thorough comparison to experiments suggests that there is some room for improvement in the description of bilayer dynamics provided by the present force fields.

biophysics↗