Rupert Laurenz Mayer

This study establishes quality control standards for single-cell proteomics through inter-laboratory benchmarking, identifying software and technical factors affecting data reliability.

TripleToolWF improves immunopeptide identification and quantification by combining three search engines, increasing results by 6-25% and enhancing confidence in bacterial immunopeptide binding.

This study evaluates DIA search engines, high-load libraries, and instrumentation platforms for single-cell proteomics across different cell types.

The paper uses single cell proteomic analysis to identify distinct functional states of neutrophils in human glioblastoma, revealing clusters with pathogenic and anti-tumorigenic properties not detectable by scRNA-seq.