Detection of Dysregulated Protein Association Networks by High-Throughput Proteomics Predicts Cancer Vulnerabilities

Abstract

The formation of protein complexes and the co-regulation of the cellular concentrations of proteins are essential mechanisms for cellular signaling and for maintaining homeostasis. Here we use isobaric labeling multiplexed proteomics to analyze protein co-regulation and show that this allows the identification of protein-protein associations with high accuracy. We apply this ‘interactome mapping by high-throughput quantitative proteome analysis’ (IMAHP) method to a panel of 41 breast cancer cell lines and show that deviations of the observed protein co-regulations in specific cell lines from the consensus network impacts to cellular fitness. Furthermore, these aberrant interactions serve as biomarkers predicting drug sensitivity of cell lines in screens across 195 drugs. We expect that IMAHP can be broadly used to gain insight into how changing landscapes of protein-protein associations affect the phenotype of biological systems.