Poster Presentation CD1-MR1 Workshop 2025

Molecular insights into the capability of the MR1 molecule to display host-derived metabolites for T cell surveillance (#101)

Wael Awad 1 , Kean Thai On Chan Yew Poa 1 , Mitchell McInerney 1 , Masatomo Takahashi 2 , Gennaro De Libero 3 , Sho Yamasaki 2 , Anthony Purcell 1 , Jamie Rossjohn 1
  1. Infection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
  2. Department of Molecular Immunology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan
  3. Depatment of medicine, University of Basel, Basel, Switzerland

MR1 presents microbially derived riboflavin precursors to a variety of αβ and γδ MR1-restricted T cells, including MAIT cells. A key question is whether MR1 ligands can originate from the host, particularly in contexts of tissue homeostasis and cancers, and how this impacts T cell functions. We have established integrated experimental and computational approaches, including unbiased mass spectrometry, machine learning models, and in-silico cheminformatics, which we utilized to discover novel host-derived MR1-binding ligands. To understand the mechanisms by which MR1 binds and presents these self-ligands, we have determined the crystal structures of MR1 in complex with several antigens, including pyridoxal vitamers and sulfated bile acids (e.g., cholic acid 7-sulfate; CA7S), along with self-pyrimidine and purine nucleobases like 5-formyl-2'-deoxyuridine (5-FdU) and xanthosine. Our structural investigations reveal that these self-antigens exhibit distinct binding modes within the MR1 cleft, stabilized by electrostatic interactions involving MR1-Lys43, Arg9, and Arg94 residues, alongside hydrophobic interactions within the aromatic cradle of the MR1 A′-pocket. Here, I will provide insights into this novel pipeline for MR1 antigen discovery and the molecular mechanisms underlying the recognition of host-derived antigens by MR1. This structural data will provide a foundation for the development of structural analogues for future therapeutic interventions.