Biology subjects

Mathiasen, S.

Publications and source records attributed to Mathiasen, S..

4 recordsLinked to original sources

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↗

bioRxiv2026

A quantitative imaging framework reveals density-dependent GPCR oligomerization and organization in living cells

GPCR oligomerization has been reported for decades, yet its extent and functional relevance in living cells remain unresolved because existing approaches, often done in bulk, are poorly account for local receptor density, a major determinant of intermolecular interactions. Here, we establish a generic quantitative imaging framework that links spatially resolved FRET measurements describing protein oligomerization to local membrane protein in living cells. Using automated high-throughput analysis of fluorescence images, the method generates large density-resolved datasets that enable direct quantification of receptor oligomerization parameters, including apparent affinity, oligomerization state, and monomer/dimer populations at the submicrometer scale. Applied to class A GPCRs in HEK293 cells, the approach reveals receptor-specific density-dependent equilibria between monomers and dimers over physiologically relevant expression ranges, with no evidence for stable higher-order oligomers under basal conditions. The receptors studied exhibit distinct apparent affinities for dimerization, ranging from predominantly monomeric to dynamic monomer-dimer equilibria, indicating that local membrane density strongly influences receptor organization and that it is receptor dependent. The agreement between our measurements and low-density single-molecule studies further suggests that previously reported higher-order oligomers may partly reflect density-driven receptor proximity effects. By bridging single-molecule and ensemble measurements within a unified quantitative framework, this work reconciles conflicting observations in the GPCR oligomerization literature and provides a broadly applicable strategy for investigating membrane protein organization in living cells. SignificanceGPCR oligomerization in living cells is strongly influenced by the local protein density, yet most approaches do not quantitatively account for this parameter. Here, we introduce a quantitative high-throughput imaging framework that directly relates membrane protein local density to local oligomerization state in living cells. Applied to distinct GPCRs over physiologically relevant density ranges, the method reveals distinct density-dependent monomer-dimer equilibrium and apparent affinities for self-association. These results help reconcile longstanding discrepancies, where distinct oligomerization states have been measured depending on experimental conditions. More broadly, this work establishes local membrane protein density as a key determinant of membrane protein organization, and provides a quantitative framework applicable to membrane protein complexes in their native cellular context.

biophysics↗

bioRxiv2026

Direct tensile force activates Adgrl3 in a tethered agonist-dependent manner

Adhesion G protein-coupled receptors are proposed to function as mechanosensors, yet whether controlled mechanical force can directly activate receptor signaling in living cells remains unclear. Using optical tweezers, we demonstrate that direct tensile force applied to the N-terminus of the adhesion GPCR Adgrl3 is sufficient to induce G protein recruitment in living cells. Activation is direction-specific, requires a functional tethered agonist, and aligns with coexisting force-driven GAIN-domain conformational changes and dissociation.

cell biology↗

bioRxiv2026

Local GPCR density tips the balance of μ-opioid receptor trafficking

The extent to which local GPCR surface density governs engagement of downstream signaling and trafficking pathways remains unclear. Using single-particle tracking of the -opioid receptor (MOR), we show that receptor density differentially regulates G protein signaling and GRK2/3-{beta}-arrestin-dependent receptor trafficking. At low surface density, MORs activate G proteins but fail to enter clathrin-coated structures despite the presence of endogenous GRK2/3 and {beta}-arrestin. Increasing MOR density, co-expressing other class A GPCRs, or elevating GRK2 or {beta}-arrestin abundance rescues agonist-induced MOR trafficking. In contrast, the class B GPCR V2R blocks MOR trafficking at both low and high MOR densities. These results support a model in which increasing class A GPCR density, despite worsening effector-to-receptor stoichiometry, promotes trafficking by forming an affinity matrix that enables reversible GRK2/3 and {beta}-arrestin interactions to be productively used by neighboring receptors in a density-dependent manner, whereas class B GPCRs sequester {beta}-arrestin and block trafficking.

biophysics↗