Felix Drost

The study identifies over 27,000 unique epitope-reactive TCRs from immunized mice, showing that TCR diversity is not constrained by germline VJ combinations but by combinatorial pairing of segments and CDR3 sequences.

DextraDemixer improves identification of antigen-specific T cells from pMHC multimer data by using a Bayesian model and dynamic thresholding to reduce false discoveries.

This study identifies antigen-reactive CD4+ T cells after SARS-CoV-2 vaccination using single-cell RNA and TCR sequencing, revealing phenotypic differences between stimulated and unstimulated states.

The paper investigates how spatial separation of antigens affects cytotoxicity in CAR-TCR cells by analyzing clonotype dynamics and functional TCR contributions.

The paper analyzes T cell responses to mRNA vaccination, finding that polyclonality and high, but not maximum, antigen receptor avidity correlate with response quality.

The paper benchmarks T-cell receptor-epitope predictors using ePytope-TCR, showing performance on datasets and highlighting biases in prediction scores across epitope classes.

P-TEAM predicts the effect of epitope mutations on T cell functionality using a Random Forest model trained on murine and human TCR-epitope interactions.

The paper introduces mvTCR, a multimodal generative model for integrating TCR and transcriptome data to improve analysis of single-cell immune profiling data.

The paper introduces meTCRs, a deep-learning method to embed TCR sequences for clustering and querying TCR-epitope databases.