A. A. Minervina

This paper introduces copepodTCR, a tool for designing and interpreting TCR specificity assays, which efficiently identifies antigen-specific TCRs using combinatorial peptide pooling and Bayesian modeling.

The paper identifies public CD4+ T cell clonotypes reactive to SARS-CoV-2 and predicts their HLA-restriction and epitopes using reverse epitope discovery.

This study shows that SARS-CoV-2 mRNA vaccination leads to strong and long-lasting T follicular helper cell responses in humans.

This study tracks T cell memory formation after mild COVID-19 infection using longitudinal TCR sequencing, showing clonal expansion and memory phenotype acquisition in infected individuals.

The paper tracks T-cell clone dynamics and TCR repertoire changes after primary and secondary yellow fever vaccination using single-cell RNAseq and TCRseq.

This paper introduces ALICE, a method to identify TCRs involved in immune responses from single RepSeq samples, showing its effectiveness across various disease conditions.

The paper develops a statistical framework to detect TCR clone changes in vaccinated twins and finds convergent yet personalized TCR responses.

The paper develops a statistical framework to associate antigen receptor sequences with diseases using a small patient cohort, successfully identifying validated receptors for Cytomegalovirus and type 1 diabetes.