One of the hurdles in the development of immunopeptidomic tools is the heterogeneity of the tumour-associated signals resulting in challenges with traditional database search strategies for MS data. Here Qi et al. from NIH are working to remove this hurdle by combining de novo peptide antigen sequencing and custom database strategies.

In a recent study by Pires et al., LC-MS/MS was used to study the protein components of the binding material in a paint sample that remained on a 1000-Year-Old Gold Mask, presumably by members of the Sicán culture of Peru.

Immunopeptidomics is the study of the processed peptides by LC-MS/MS and serves as a tool for the identification of novel antigens. This paper by Saab and others presents a novel statistical computing method called RHybridFinder (RHF).

Looking to optimize methods used for single cell proteomics from sample capture, to peptide extraction, through LC-MS/MS & data analysis? Li et al. recently published a workflow for integrated proteome, phosphoproteome, & metabolome analysis from a single cell that addresses many single cell proteomics challenges.