Searching the Resource Information Network

Our searching services are busy right now. Please try again later

  • Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes

Mechano-regulation of Peptide-MHC Class I Conformations Determines TCR Antigen Recognition.

Peng Wu | Tongtong Zhang | Baoyu Liu | Panyu Fei | Lei Cui | Rui Qin | Huaying Zhu | Danmei Yao | Ryan J Martinez | Wei Hu | Chenyi An | Yong Zhang | Junwei Liu | Jiawei Shi | Juan Fan | Weiwei Yin | Jie Sun | Chun Zhou | Xun Zeng | Chenqi Xu | Jianan Wang | Brian D Evavold | Cheng Zhu | Wei Chen | Jizhong Lou
Molecular cell | 2019

TCRs recognize cognate pMHCs to initiate T cell signaling and adaptive immunity. Mechanical force strengthens TCR-pMHC interactions to elicit agonist-specific catch bonds to trigger TCR signaling, but the underlying dynamic structural mechanism is unclear. We combined steered molecular dynamics (SMD) simulation, single-molecule biophysical approaches, and functional assays to collectively demonstrate that mechanical force induces conformational changes in pMHCs to enhance pre-existing contacts and activates new interactions at the TCR-pMHC binding interface to resist bond dissociation under force, resulting in TCR-pMHC catch bonds and T cell activation. Intriguingly, cancer-associated somatic mutations in HLA-A2 that may restrict these conformational changes suppressed TCR-pMHC catch bonds. Structural analysis also indicated that HLA polymorphism might alter the equilibrium of these conformational changes. Our findings not only reveal critical roles of force-induced conformational changes in pMHCs for activating TCR-pMHC catch bonds but also have implications for T cell-based immunotherapy.

Pubmed ID: 30711376

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL132019
  • Agency: NCI NIH HHS, United States
    Id: U01 CA250040
  • Agency: NIGMS NIH HHS, United States
    Id: T32 GM008169
  • Agency: NCI NIH HHS, United States
    Id: U01 CA214354
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM124489
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI124680
  • Agency: NIAID NIH HHS, United States
    Id: R01 AI096879

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Visual Molecular Dynamics (tool)

RRID:SCR_001820

A molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. VMD supports computers running MacOS X, Unix, or Windows, is distributed free of charge, and includes source code.

View all literature mentions

PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

View all literature mentions

FlowJo (tool)

RRID:SCR_008520

Software for single-cell flow cytometry analysis. Its functions include management, display, manipulation, analysis and publication of the data stream produced by flow and mass cytometers.

View all literature mentions

NAMD (tool)

RRID:SCR_014894

Parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD uses the popular molecular graphics program VMD for simulation setup and trajectory analysis, but is also file-compatible with AMBER, CHARMM, and X-PLOR.

View all literature mentions

Purified anti-mouse CD3epsilon (antibody)

RRID:AB_312667

This monoclonal targets CD3epsilon

View all literature mentions

C57BL/6J (organism)

RRID:IMSR_JAX:000664

Mus musculus with name C57BL/6J from IMSR.

View all literature mentions