Dataset Information

CD1 and MR1 recognition by human γδ T cells.

ABSTRACT: The two main T cell lineages, αβ and γδ T cells, play a central role in immunity. Unlike αβ T cells that recognize antigens bound to the Major Histocompatibility Complex (MHC) or MHC class I-like antigen-presenting molecules, the ligands for γδ T cell receptors (TCRs) are much more diverse. However, it is now clear that γδ TCRs can also recognize MHC class I-like molecules, including CD1b, CD1c, CD1d and the MHC class I-related protein 1 (MR1). Yet, our understanding at the molecular level of γδ T cell immunity to CD1 and MR1 is still very limited. Here, we discuss new molecular paradigms underpinning γδ TCRs recognition of antigens, antigen-presenting molecules or both. The recent discovery of recognition of MR1 by a γδ TCR at a position located underneath the antigen display platform reinforces the view that γδ TCRs can approach their ligands from many directions, unlike αβ TCRs that bind MHC, CD1 and MR1 targets in an aligned, end to end fashion.

SUBMITTER: Van Rhijn I

PROVIDER: S-EPMC8075093 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature

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CD1 and MR1 recognition by human γδ T cells.

Van Rhijn Ildiko I Le Nours Jérôme J

Molecular immunology 20210223

The two main T cell lineages, αβ and γδ T cells, play a central role in immunity. Unlike αβ T cells that recognize antigens bound to the Major Histocompatibility Complex (MHC) or MHC class I-like antigen-presenting molecules, the ligands for γδ T cell receptors (TCRs) are much more diverse. However, it is now clear that γδ TCRs can also recognize MHC class I-like molecules, including CD1b, CD1c, CD1d and the MHC class I-related protein 1 (MR1). Yet, our understanding at the molecular level of γδ ...[more]

PMID: 33636434

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Project description:BackgroundT cell receptors (TCRs) can recognize diverse lipid and metabolite antigens presented by MHC-like molecules CD1 and MR1, and the molecular basis of many of these interactions has not been determined. Here we applied our protein docking algorithm TCRFlexDock, previously developed to perform docking of TCRs to peptide-MHC (pMHC) molecules, to predict the binding of αβ and γδ TCRs to CD1 and MR1, starting with the structures of the unbound molecules.ResultsEvaluating against TCR-CD1d complexes with crystal structures, we achieved near-native structures in the top 20 models for two out of four cases, and an acceptable-rated prediction for a third case. We also predicted the structure of an interaction between a MAIT TCR and MR1-antigen that has not been structurally characterized, yielding a top-ranked model that agreed remarkably with a characterized TCR-MR1-antigen structure that has a nearly identical TCR α chain but a different β chain, highlighting the likely dominance of the conserved α chain in MR1-antigen recognition. Docking performance was improved by re-training our scoring function with a set of TCR-pMHC complexes, and for a case with an outlier binding mode, we found that alternative docking start positions improved predictive accuracy. We then performed unbound docking with two mycolyl-lipid specific TCRs that recognize lipid-bound CD1b, which represent a class of interactions that is not structurally characterized. Highly-ranked models of these complexes showed remarkable agreement between their binding topologies, as expected based on their shared germline sequences, while differences in residue-level interactions with their respective antigens point to possible mechanisms underlying their distinct specificities.ConclusionsTogether these results indicate that flexible docking simulations can provide accurate models and atomic-level insights into TCR recognition of MHC-like molecules presenting lipid and other small molecule antigens.

Dataset Information

CD1 and MR1 recognition by human γδ T cells.

Publications

CD1 and MR1 recognition by human γδ T cells.

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