Abstract
Quantitative proteomics is a powerful method for distinguishing protein abundance changes in a biological system across conditions. In addition to recent advances in computational power and bioinformatics methods, improvements to sensitivity and resolution of mass spectrometry (MS) instrumentation provide an innovative approach for studying host-pathogen interaction dynamics and posttranslational modifications. In this protocol, we provide a workflow for state-of-the-art MS-based proteomics to assess changes in phosphorylated protein abundance upon interaction between the worldwide cereal crop, Triticum aestivum (wheat), and the global cereal crop fungal pathogen, Fusarium graminearum, during infection. This protocol mimics a time course of infection of T. aestivum by F. graminearum in the greenhouse, and the harvested samples undergo Fe-NTA phosphoenrichment combined with label-free quantification (LFQ) for detection by liquid-chromatography (LC)-coupled with tandem MS/MS. Our approach provides an in-depth view of changes in phosphorylation from both the host and pathogen perspectives in a single experiment across infection time points and different host cultivars.
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