Ton N. Schumacher

The paper develops a validated TCR-pMHC database (TCRvdb) by assessing VDJdb entries with a high-throughput platform, finding only 50% of claims are functionally confirmed.

PAIR-Scan identifies potent TCR-neoantigen pairs from tumor samples through library-on-library screening, enabling efficient analysis of T cell reactivity.

The paper shows that PD-1 blockade reinvigorates dysfunctional T cells by restoring translational activity, driving early antitumor immune responses in tumors.

The paper uses spatial imaging and computational analysis to identify features in metastatic tumors that predict response to immune checkpoint inhibition in TNBC patients.

This study shows NK cells influence all phases of cancer immunoediting in B-ALL, promoting resistant clones through selective pressure and identifying LY6E as a marker of poor prognosis.

The paper evaluates gene and protein sequence features as predictors of HLA class I ligand presentation, showing they improve predictions comparable to experimental gene expression data.

STAPLER is a transformer model that predicts TCR-pMHC specificity by learning from TCR and peptide sequences, outperforming existing methods in antigen recognition prediction.