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Hinchliff, A.

Publications and source records attributed to Hinchliff, A..

2 recordsLinked to original sources

Selective inhibition of MR1-restricted T cell activation by a novel MR1-targeting nanobody

MR1 is a non-polymorphic, ubiquitously expressed, MHC class I-like antigen-presenting molecule that presents small-molecule metabolites to T cells. Studies have shown that MR1 plays a role in microbial infection, inflammation, and tumor immunity. The antigens it presents include metabolites of microbial and self-origin as well as small-molecule drugs and form stable complexes with MR1 that are displayed on the cell surface to activate T cells. However, unlike classical MHC I and II molecules, the fundamental biology of MR1 remains poorly understood, particularly the mechanisms governing antigen loading and intracellular trafficking. This knowledge gap is largely due to the lack of molecular tools available to precisely manipulate MR1 function. In this study, we describe a high-affinity (1.6 nM KD) anti-MR1 nanobody, MR1Nb1. We characterize the binding of this nanobody including affinity by ELISA and kinetics by BLI. Crucially, we map the binding epitope of MR1Nb1 on MR1 by HDX-MS, providing key insights into the mechanism through which it blocks MR1T cell activation. In functional assays MR1Nb1 effectively and specifically blocks MAIT cell activation by cells infected with M. tuberculosis or treated with M. smegmatis supernatant. This nanobody represents a unique and versatile tool for the field, as it can be produced inexpensively and expressed intracellularly within antigen-presenting cells. Hence, our study provides a powerful new molecular probe for dissecting the mechanistic underpinnings of MR1 biology and uncover its broader roles in immunity.

immunology↗

An effective method of measuring nanobody binding kinetics and competition-based epitope mapping using biolayer interferometry

Protein-protein interactions (PPI) underpin nearly all biological processes, and understanding the molecular mechanisms governing these interactions is crucial for the progress of biomedical sciences. The emergence of AI-driven computational tools can help reshape the methods in structural biology, however model data often quires empirical validation. The large scale of predictive modeling data will therefore benefit from optimized methodologies for the high-throughput biochemical characterization of PPIs. Biolayer interferometry (BLI) is one of very few approaches that can determine the rate of biomolecular interactions, called kinetics, and of the commonly available kinetic measurement techniques, it is the most suitable for high-throughput experimental designs. Here, we provide step-by-step instructions on how to perform kinetics experiments using BLI. We further describe the basis and execution of competition and epitope binning experiments, which are particularly useful for antibody and nanobody screening applications. The procedure requires 3 hours to complete and is suitable for users with minimal experience with biochemical techniques.

biochemistry↗