Sign in
ImmunologybioRxiv
Preprint

Mechanochemical Energy Landscapes Under Force: Catch-Slip Bonds in T-Cell Activation

Yogesh Bali, Alan D. RendalliD, Wolfgang QuappiD

Abstract

Traditional theories explain T-cell activation by antigen concentration, binding affinity, and dissociation rate, but they fail to account for its extraordinary sensitivity. Recent cryo-electron microscopy and molecular-dynamics studies show that mechanical force transmitted through the T-cell receptor, the peptide-major histocompatibility complex, and the CD3 signaling module can enhance this sensitivity and thereby promote T-cell activation. We present a minimal energy-landscape model showing how force transmission reshapes the activation barrier and bond lifetime. Mathematically, we prove a sharp force cutoff Fc = D0/(2d0) (maximum binding depth D0, optimal distance d0) above which no bound state exists. At or below Fc, the system admits at most two stationary points: a bound minimum and a saddle that coalesce in a fold (saddle-node) at the bond-breaking point. Stable binding occurs only on the near-separation branch d < d0 ln 2 (smaller receptor-ligand separation). Numerically, we tracked these stationary points as the force varied, computed the force-dependent barrier {Delta}V f, and mapped bond lifetimes using Kramers/Langer theory. We found that agonists and weak agonists follow a catch-slip pattern; barriers and lifetimes peak at intermediate forces, whereas antagonists exhibit slip, with barriers and lifetimes decreasing as force increases. Our framework provides a testable mechanochemical link between force, barriers, and lifetimes in TCR signaling, as well as a path to refine predictions with targeted measurements for T-cell activation under force.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSchrangl '25Rogers '23Jeffreys '26Choi '22Travaglino '26Göhring '21
79% semantic matchImmunology
Lukas Schrangl, Florian Kellner, René Platzer+8 more·Nature Communications·Aug 14, 2025· 9 citations