title: Recent advances in mass spectrometry-based glycoproteomics.
abstract: Protein glycosylation plays fundamental roles in many biological processes as one of the most common, and the most complex, posttranslational modification. Alterations in glycosylation profile are now known to be associated with many diseases. As a result, the discovery and detailed characterization of glycoprotein disease biomarkers is a primary interest of biomedical research. Advances in mass spectrometry (MS)-based glycoproteomics and glycomics are increasingly enabling qualitative and quantitative approaches for site-specific structural analysis of protein glycosylation. While the complexity presented by glycan heterogeneity and the wide dynamic range of clinically relevant samples like plasma, serum, cerebrospinal fluid, and tissue make comprehensive analyses of the glycoproteome a challenging task, the ongoing efforts into the development of glycoprotein enrichment, enzymatic digestion, and separation strategies combined with novel quantitative MS methodologies have greatly improved analytical sensitivity, specificity, and throughput. This review summarizes current MS-based glycoproteomics approaches and highlights recent advances in its application to cancer biomarker and neurodegenerative disease research.
authors.affiliation: School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA.
authors.forename: Dustin C
authors.initials: DC
authors.lastname: Frost
authors.affiliation: School of Pharmacy, University of Wisconsin, Madison, Wisconsin, USA; Department of Chemistry, University of Wisconsin, Madison, Wisconsin, USA. Electronic address: lli@pharmacy.wisc.edu.
authors.forename: Lingjun
authors.initials: L
authors.lastname: Li
mesh_terms: D054794:Glycomics / Q000379:methods*; D006023:Glycoproteins / Q000737:chemistry*; D006031:Glycosylation; D013058:Mass Spectrometry; D011499:Protein Processing, Post-Translational; D040901:Proteomics / Q000379:methods*
chemical_list: D006023:Glycoproteins
keywords: Affinity enrichment; Biomarker; Cancer; Glycomics; Glycopeptides; Glycoproteomics; Mass spectrometry; Neurodegenerative disease; Separation