Jamie Rossjohn

This study identifies an allosteric disulfide bond in KIR2DL4 that regulates HLA-G binding and endocytosis, influencing NK cell function during pregnancy.

The paper develops a nanobody targeting MR1-5-OP-RU complexes and demonstrates its ability to modulate MAIT cell responses and act as a bispecific engager.

This study shows how V{gamma}4 IELs use both germline and non-germline TCR features to sustain persistent BTNL3/8 recognition and express an NK-like program in the gut.

The paper identifies a novel HLA-DR15-restricted CD4 T cell epitope from PR3 associated with vasculitis and describes its unconventional presentation mechanism.

This study evaluates AlphaFold 3's ability to predict T cell antigen specificity using structural models and finds that binding scores correlate with TCR positioning over pMHC, not chemical interactions.

This paper introduces TCRDiff, a conditional diffusion model for generating antigen-specific TCR sequences, validated through in vitro assays.

The paper identifies a conserved TCR motif recognizing mycobacterial lipids presented by CD1c, showing higher frequencies in TB-endemic regions and providing a cryo-EM structure of the interaction.

This study identifies CD1a-restricted T cell responses to canonical microbial peptides in leprosy, expanding the known ligands of CD1a and suggesting potential applications for mycobacterial immunity research.

This study identifies a mechanism by which CD1c presents two lipids simultaneously, with bulky headgroups oriented sideways, enabling autoreactive TCR recognition.

This study identifies riboflavin catabolites that bind MR1, reduce its cell surface expression, and inhibit MAIT cell activation.

ImmuScope predicts CD4+ T cell immunogenic epitopes using self-iterative multiple-instance learning, improving accuracy with multi-allelic and single-allelic data.

The paper builds a machine learning model to predict KIR3DL1 binding to HLA class I allotypes, showing that binding is influenced by multiple non-additive regions beyond the classical Bw4 motif.

The paper presents a comprehensive HLA-C*06:02 immunopeptidome dataset from psoriasis-relevant cell lines and psoriasiform skin using a transgenic mouse model.

This study compares neonatal and adult MR1T cells, finding neonatal cells have diverse TCR usage, reduced cytotoxicity, and limited pathogen recognition.

The paper introduces tFold-TCR, a model for predicting TCR-pMHC structures, achieving higher accuracy and speed than existing methods and creating a large database of these structures.

This paper introduces ConBoTNet, a deep learning model that improves MHC-II peptide binding affinity prediction using supervised contrastive learning and bottleneck transformers, achieving better performance than existing methods.

This study quantifies conformational changes in the TCR:pMHC-I binding interface using a dataset of 358 structures, showing that CDR3 and CDR3β loops modify their shape upon binding and peptides undergo conformational changes dependent on their anchoring in the MHC groove.

This paper introduces EPACT, a deep-learning framework for predicting TCR-antigen binding pairs, showing high accuracy in epitope recognition and TCR repertoire analysis.

The paper determines the X-ray crystal structure of SARS-CoV-2 Nsp9 in apo and peptide-bound forms, revealing structural conservation and a peptide-binding site near the dimer interface.

This study shows MAIT cells protect against Legionella infection via MR1, IFN-γ, and GM-CSF, suggesting vaccination could enhance MAIT cell immunity.