Yuhao Tan

The paper identifies the Bhlhe40-S100a4 cascade as a key regulator of cancer cell mitochondrial transfer from T cells, offering a target for immunotherapy.

TCRmeta integrates antigen specificity with TCR repertoires to enable cross-individual and longitudinal immune monitoring by revealing conserved patterns and technical variation robustness.

The paper develops epiVIP, a deep learning framework to predict HLA-I peptide abundance from (sc)RNA-seq data, showing that peptide abundance and non-selfness jointly determine antigenicity and predict tumor reactivity and survival.

The paper shows cancer cells redistribute mitochondria to sustain immunosuppressive ecosystems, reprogramming immune cells and enhancing their own metabolic resilience.

The paper introduces THNet, a method to analyze HLA-TCR cross-reactivity, revealing new disease associations and improving transplantation outcomes.

MitoTracer identifies informative mitochondrial mutations for lineage reconstruction from scRNA-seq and scATAC-seq data, showing high sensitivity and specificity.