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Large-Scale Profiling of Protein Methylation

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https://www.omicsdi.org/dataset/pride/PXD014574
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Develop a novel de-glyco-assisted methylation site identification (DOMAIN) strategy which enables straightforward, fast, and reproducible analysis of protein methylation in a proteome-wide manner. Combining multidimensional fractionation and multiprotease digestion, our method enabled the identification of 573 methylated forms in 270 proteins, including 311 new methylation forms, in A549 cells. Combining this technique with stable isotope labeling quantitative proteomics and RNA interference, we determined the differential regulation of several putative methylated sites that are related to the protein arginine N-methyltransferase 3 (PRMT3). Collectively, our integrated proteomics workflow for comprehensive mapping of methylation sites enables a better understanding of protein methylation, while providing a rapid and effective approach for global protein methylation analysis in biomedical research.
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2019-07-18
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