Yapeng Su

This study shows EBV reprograms B cells in COVID-19 patients, leading to autoimmune-like features such as autoantibodies and dysregulated lipid profiles, similar to lupus and multiple sclerosis.

This study identifies NF-κB-driven chromatin remodeling as a mechanism for drug-induced dedifferentiation in cancer, revealing its role in promoting drug-tolerant persister states.

scanCT identifies disease-associated genomic feature groups using a tree-based framework applied to single-cell multi-omics COVID-19 data, revealing interpretable marker combinations.

The paper introduces Tarpon, a generative AI model that synthesizes TCR atlases to uncover T cell behavior patterns and cross-dataset mappings of T cell states.

The paper develops a high-throughput platform to profile antigen-specific CD4+ T cells at single-cell resolution, identifying immunogenic features and functional heterogeneity in viral and cancer contexts.

APMAT analysis links CD8 T cell receptors, cognate antigens, and T cell phenotype/persistence using integrated experimental-computational methods.

This study examines the relationship between T cell receptor (TCR) metrics and COVID-19 disease severity, finding significant associations that vary by TCR subset and collection timing.

Tumor cell methylation of KRASG12V epitope in HLA-A2 permits immune evasion, and new TCRs were generated to overcome this with engineered cell therapy.