Harnessing antigen-specific T cell immunity in time and space
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AI plain-English summaryT cells hunt down infected cells by recognising molecular fragments called antigens on their surface, but the rules governing which antigens trigger a response remain largely unknown. Professor Koohy’s team is using machine learning and single-cell experiments to build a detailed molecular map of how T cells detect antigens in different contexts—during infections, after vaccination, and even when they recognise invaders without the usual markers. The problem is that current understanding of T cell antigen recognition is patchy, limiting our ability to design effective vaccines or immunotherapies. If the team succeeds, they will provide a systematic catalogue of antigen–T cell interactions, revealing how these immune cells change their molecular patterns over time and across different tissues. This is fundamental science: it aims to uncover the basic rules of immune defence rather than deliver an immediate treatment. Deeper knowledge of T cell specificity could eventually help researchers engineer more precise vaccines, predict immune responses to new pathogens, or design cell therapies that avoid off-target effects—but those applications lie years ahead, contingent on the foundational map this project will create.
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