4.7 Article

Rapid glycopeptide enrichment and N-glycosylation site mapping strategies based on amine-functionalized magnetic nanoparticles

Journal

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 402, Issue 9, Pages 2765-2776

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-012-5724-1

Keywords

Glycoproteomics; N-Glycosylation sites; Glycopeptide capture; Nanoparticles; Mass spectrometry

Funding

  1. Taiwan NSC [94-3112-B-001-009-Y, 95-3112-B-001-014]

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Glycoproteins secreted or expressed on the cell surface at specific pathophysiological stages are well-recognized disease biomarkers and therapeutic targets. While mapping of specific glycan structures can be performed at the level of released glycans, site-specific glycosylation and identification of specific protein carriers can only be determined by analysis of glycopeptides. A key enabling step in mass spectrometry (MS)-based glycoproteomics is the ability to selectively or non-selectively enrich for the glycopeptides from a total pool of a digested proteome for MS analysis since the highly heterogeneous glycopeptides are usually present at low abundance and ionize poorly compared with non-glycosylated peptides. Among the most common approaches for non-destructive and non-glycan-selective glycopeptide enrichment are strategies based on various forms of hydrophilic interaction liquid chromatography (HILIC). We present here a variation of this method using amine-derivatized Fe3O4 nanoparticles, in concert with in situ peptide N-glycosidase F digestion for direct matrix-assisted laser desorption/ionization-mass spectrometry analysis of N-glycosylation sites and the released glycans. Conditions were also optimized for efficient elution of the enriched glycopeptides from the nanoparticles for on-line nanoflow liquid chromatography-MS/MS analysis. Successful applications to single glycoproteins as well as total proteomic mixtures derived from biological fluids established the unrivaled practical versatility of this method, with enrichment efficiency comparable to other HILIC-based methods.

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