An Engineered Switch in T Cell Receptor Specificity Leads to an Unusual but Functional Binding Geometry
- Univ. of Illinois, Urbana, IL (United States)
- Univ. of Notre Dame, IN (United States)
- Univ. of Kentucky, Lexington, KY (United States)
Utilizing a diverse binding site, T cell receptors (TCRs) specifically recognize a composite ligand comprised of a foreign peptide and a major histocompatibility complex protein (MHC). To help understand the determinants of TCR specificity, we studied a parental and engineered receptor whose peptide specificity had been switched via molecular evolution. Altered specificity was associated with a significant change in TCR-binding geometry, but this did not impact the ability of the TCR to signal in an antigen-specific manner. The determinants of binding and specificity were distributed among contact and non-contact residues in germline and hypervariable loops, and included disruption of key TCR-MHC interactions that bias αβ TCRs toward particular binding modes. Sequence-fitness landscapes identified additional mutations that further enhanced specificity. Furthermore, our results demonstrate that TCR specificity arises from the distributed action of numerous sites throughout the interface, with significant implications for engineering therapeutic TCRs with novel and functional recognition properties.
- Research Organization:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- National Institutes of Health (NIH)
- Grant/Contract Number:
- GM118166; CA178844; CA180723
- OSTI ID:
- 1267463
- Journal Information:
- Structure, Vol. 24, Issue 7; ISSN 0969-2126
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- ENGLISH
Web of Science
Mapping Interaction Sites on Human Chemokine Receptors by Deep Mutational Scanning
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journal | April 2018 |
Subtle changes at the variable domain interface of the T-cell receptor can strongly increase affinity
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journal | December 2017 |
Emerging Concepts in TCR Specificity: Rationalizing and (Maybe) Predicting Outcomes
|
journal | September 2017 |
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