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Daniel E. Mason

Queen's University

Publishes on Glycosylation and Glycoproteins Research, Mass Spectrometry Techniques and Applications, Advanced Proteomics Techniques and Applications. 30 papers and 3.1k citations.

30Publications
3.1kTotal Citations

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Top publicationsby citations

Phosphofructokinase 1 Glycosylation Regulates Cell Growth and Metabolism
Wen Yi, Peter M. Clark, Daniel E. Mason et al.|Science|2012
Cited by 676Open Access

Cancer cells must satisfy the metabolic demands of rapid cell growth within a continually changing microenvironment. We demonstrated that the dynamic posttranslational modification of proteins by O-linked β-N-acetylglucosamine (O-GlcNAcylation) is a key metabolic regulator of glucose metabolism. O-GlcNAcylation was induced at serine 529 of phosphofructokinase 1 (PFK1) in response to hypoxia. Glycosylation inhibited PFK1 activity and redirected glucose flux through the pentose phosphate pathway, thereby conferring a selective growth advantage on cancer cells. Blocking glycosylation of PFK1 at serine 529 reduced cancer cell proliferation in vitro and impaired tumor formation in vivo. These studies reveal a previously uncharacterized mechanism for the regulation of metabolic pathways in cancer and a possible target for therapeutic intervention.

Direct In-Gel Fluorescence Detection and Cellular Imaging of <i>O</i> -GlcNAc-Modified Proteins
Peter M. Clark, Jessica F. Dweck, Daniel E. Mason et al.|Journal of the American Chemical Society|2008
Cited by 241

We report an advanced chemoenzymatic strategy for the direct fluorescence detection, proteomic analysis, and cellular imaging of O-GlcNAc-modified proteins. O-GlcNAc residues are selectively labeled with fluorescent or biotin tags using an engineered galactosyltransferase enzyme and [3 + 2] azide-alkyne cycloaddition chemistry. We demonstrate that this approach can be used for direct in-gel detection and mass spectrometric identification of O-GlcNAc proteins, identifying 146 novel glycoproteins from the mammalian brain. Furthermore, we show that the method can be exploited to quantify dynamic changes in cellular O-GlcNAc levels and to image O-GlcNAc-glycosylated proteins within cells. As such, this strategy enables studies of O-GlcNAc glycosylation that were previously inaccessible and provides a new tool for uncovering the physiological functions of O-GlcNAc.