Kerry A. Mullan

The paper creates a synovial fluid TCR, cytokine, and cell repertoire atlas to compare disease mechanisms across arthritic conditions using systems immunology approaches.

A TCR-first approach to single-cell data analysis improves identification of disease-specific TCR features and reveals previously unknown T-cell clusters and arrangements.

This study uses multi-view modelling to improve prediction of HBV vaccine response by integrating bulk RNA-seq, T-cell data, flow cytometry, and clinical metadata.

The paper uses TCR-epitope recognition models to analyze CD8+ T-cell responses in COVID-19 patients, finding that non-critical patients develop unique SARS-CoV-2-specific T-cell responses not seen in critical patients.

TCR_Explore is a webtool for TCR repertoire analysis that automates quality control and analysis, enabling non-expert users to generate publication-ready figures.