S. H. Ramarathinam

This paper identifies endogenous viral elements as a new source of antigens for personalized cancer vaccines and introduces a computational pipeline to predict and test their therapeutic potential.

This study identifies immunogenic MHC I peptides involved in transplant tolerance by combining genetic engineering, immunopeptidomics, and T cell analysis.

The paper identifies a shared peptide motif and limited MHC-I diversity in Tasmanian devil transmissible cancers, suggesting a mechanism for immune evasion and vaccine design.

The paper develops a mass spectrometry-based method to detect HLA-bound peptides from tumor biopsies, enabling the identification of neoepitopes from as few as 1000 cells or 1 mg of tissue.

This study uses high-density peptide microarrays to assess HLA-class II specificity, generating large-scale peptide-MHC-II interaction data to improve prediction tools.