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Using state-of-the-art quantitative proteomics methods, we have mapped signaling networks regulated by potent growth or antigrowth factors, such as epidermal growth factor and frizzled-8-related antiproliferative factor. We have also developed and optimized methods for proteome-scale characterization of palmitoylated proteins and tyrosine phosphoproteins. We are applying these powerful tools to dissect the role of reversible post-translational modifications (e.g., palmitoylation and phosphorylation) in the dynamic regulation of signaling networks during cancer progression and metastasis.
For cancer biomarker discovery, to circumvent the dynamic range issue in biofluid proteomics, we are developing novel methods to isolate microvesicles, which are rich in biomarkers, from biofluids such as plasma and urine.