CD8-mediated organization of the TCR-pMHC interface shapes its force response and dissociation pathways
Li, J.; Li, Z.
Show abstract
The mechanical response of the interaction between the T cell receptor (TCR) and the peptide major histocompatibility complex (pMHC) is fundamental to antigen recognition, but the atomic-scale mechanisms by which the CD8 coreceptor modulates the complexs conformational states and force-bearing behavior remain poorly understood. We employed all-atom molecular dynamics and steered molecular dynamics simulations of membrane-embedded TCR-pMHC and TCR-pMHC-CD8 complexes to characterize their dynamics and force-induced dissociation. Microsecond-long molecular dynamics (MD) simulations show that binding of CD8 to the MHC 3 domain applies restraints to the latter one, which leads the MHC 1 helix to stably bind against the TCR complementarity-determining regions (CDRs) and suppresses the fluctuations of the antigenic peptide. Furthermore, under mechanical loading, the TCR-pMHC-CD8 system exhibits a distinct dissociation pathway compared to that of TCR-pMHC complex, which may strengthen the mechanical stability of the binding of TCR-pMHC. Collectively, these findings unravel the molecular mechanisms of CD8-mediated synergistic stabilization and mechanical regulation of TCR-pMHC, providing new mechanistic insights into coreceptor-dependent T cell antigen recognition. SIGNIFICANCEThe TCR-pMHC handshake is the definitive spark that ignites the immune response. It has been shown that the force applied to the TCR-pMHC complex is critical for triggering the downstream signaling. In addition, TCR recognition of pMHC is regulated by force and strongly influenced by coreceptors, such as CD8. Therefore, understanding how coreceptors mediate TCR-pMHC interactions upon the application of force is crucial for revealing the biophysical basis of immune signaling. This study unravels how coreceptors shape the dynamics and mechanical response of the TCR-pMHC complex at the atomic level.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Push-to-open: The Gating Mechanism of the Tethered Mechanosensitive Ion Channel NompC 95%
- Deamidation disrupts native and transient contacts to weaken the interaction between UBC13 and RING-finger E3 ligases 94%
- The flexible stalk domain of sTREM2 modulates its interactions with brain-based phospholipids 94%
Similar papers in this journal
- Molecular mechanism of GTP binding- anddimerization-induced enhancement ofSar1-mediated membrane remodeling 96%
- Integrating comparative modeling and accelerated simulations reveals conformational and energetic basis of actomyosin force generation 95%
- Dual nature of human ACE2 glycosylation in binding to SARS-CoV-2 spike 95%
Similar papers in this journal
- Physics-based inverse design of cholesterolattracting transmembrane helices reveals aparadoxical role of hydrophobic length 95%
- Lipid-mediated organization of prestin in the outer hair cell membrane and its implications in sound amplification 95%
- Catch bond models may explain how force amplifies TCR signaling and antigen discrimination 94%
Similar papers in this journal
- Lipid-facilitated opening of the ADAM10 sheddase revealed by enhanced sampling simulations 92%
- A high-affinity calmodulin-binding site in the CyaA toxin translocation domain is essential for invasion into eukaryotic cells 91%
- TCRpcDist: Estimating TCR physico-chemical similarity to analyze repertoires and predict specificities 90%
"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.