Nature Communications · 2022 · 79 citations · 61 references
Life SciencesBiochemistryMolecular BiologyPathway AnalysisProtein-protein InteractionsProteomicsCancer ProteomicsComparative ProteomicsMass Spectrometry-based ProteomicsProtein Interaction MappingProtein-protein Interaction AnalysisQuantitative ProteomicsCancer Signaling PathwaysInteraction Network ProteomicsInteractomicsProtein Interaction AnalysisProtein-protein Interaction MappingProtein-protein Interaction Network AnalysisProteomic Data AnalysisRelative Abundance Analysis
Co-fractionation/mass spectrometry (CF/MS) enables the mapping of endogenous macromolecular networks on a proteome scale, but current methods are experimentally laborious, resource intensive and afford lesser quantitative accuracy. Here, we present a technically efficient, cost-effective and reproducible multiplex CF/MS (mCF/MS) platform for measuring and comparing, simultaneously, multi-protein assemblies across different experimental samples at a rate that is up to an order of magnitude faster than previous approaches. We apply mCF/MS to map the protein interaction landscape of non-transformed mammary epithelia versus breast cancer cells in parallel, revealing large-scale differences in protein-protein interactions and the relative abundance of associated macromolecules connected with cancer-related pathways and altered cellular processes. The integration of multiplexing capability within an optimized workflow renders mCF/MS as a powerful tool for systematically exploring physical interaction networks in a comparative manner.
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