Direct tensile force activates Adgrl3 in a tethered agonist-dependent manner
Mathiasen, S.; Holmkvist, J. F. L.; Hamel, L.; Barooji, Y. F.; Chung, Y. K.; Regmi, R.; Vejre, P. C.; Rosell-Teixido, J.; Martinez, K. L.; Rosenkilde, M.; Bendix, P. M. M.; Javitch, J. A.
Show abstract
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.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Sensing their plasma membrane curvature allows migrating cells to circumvent obstacles 97%
- Optogenetic control of receptors reveals distinct roles for actin- and Cdc42-dependent negative signals in chemotactic signal processing 96%
- α-catenin switches between a slip and an asymmetric catch bond with F-actin to cooperatively regulate cell junction fluidity 96%
Similar papers in this journal
Similar papers in this journal
- Membrane curvature association of amphipathic helix 8 drives constitutive GPCR endocytosis 96%
- Afadin mediates cadherin-catenin complex clustering on F-actin linked to cooperative binding and filament curvature 96%
- Membrane curvature sensing and stabilization by the autophagic LC3 lipidation machinery 95%
Similar papers in this journal
- Nucleation of the destruction complex on the centrosome accelerates degradation of β-catenin and regulates Wnt signal transmission 95%
- Diffusion barriers imposed by tissue topology shape morphogen gradients 95%
- Coupling During Collective Cell Migration is Controlled by a Vinculin Mechanochemical Switch 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.