TURING-seq: illuminating TCR-peptide-MHC landscapes to accelerate ML-assisted immunotherapies

T cell activation underpins the adaptive immune system; therefore, accurately predicting the sequence determinants of T cell activation would accelerate immunotherapy design. However, predictive models lack high-fidelity datasets that link specific combinations of T cell receptors (TCR), peptide antigens, and major histocompatibility complexes (MHCs) to functional activation. Here, we propose TURING-seq, a scalable platform that measures single-cell activation for ~10^6 TCR-pMHC triplets in parallel. TURING-seq will deliver a three-axis, negative-inclusive dataset with comprehensive documentation and public benchmarks, which will accelerate drug discovery, vaccine design, and T cell therapeutics.