Peter G. Hains

The paper generates an organ-resolved phosphoproteome map from FFPE rat tissues, showing it preserves signaling biology and enables kinase activity inference.

The paper identifies a gene and protein expression signature associated with HOXB13 G84E carrier status in prostate cancer using proteogenomic analysis.

ProCanFDL uses federated deep learning to subtype cancers using proteomic data while preserving privacy, achieving performance gains over local models.

This study identifies MIF as a key immunosuppressive factor in neuroblastoma that inhibits CAR T-cell efficacy, showing that blocking MIF enhances T-cell activation and therapeutic potential.

The paper introduces a rapid, high-throughput proteomics sample processing protocol called Heat n Beat, achieving consistent peptide yield and quality across diverse tissue types in under an hour.

The paper presents a pan-cancer proteomic map of 949 cell lines, revealing protein-specific biomarkers of cancer vulnerabilities and showing proteomic data's superior predictive power for drug response.