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Clin Proteomics. 2015 Apr 11;12(1):11. doi: 10.1186/s12014-015-9083-8. eCollection 2015.

Identification of sialylated glycoproteins from metabolically oligosaccharide engineered pancreatic cells.

Clinical proteomics

Yuan Tian, Ruben T Almaraz, Caitlin H Choi, Qing Kay Li, Christopher Saeui, Danni Li, Punit Shah, Rahul Bhattacharya, Kevin J Yarema, Hui Zhang

Affiliations

  1. Department of Pathology, Johns Hopkins University, 400 N. Broadway, Room 4011, Baltimore, MD 21287 USA.
  2. Department of Biomedical Engineering and the Translational Tissue Engineering Center, Johns Hopkins University School of Medicine, Baltimore, MD USA.

PMID: 25987888 PMCID: PMC4434541 DOI: 10.1186/s12014-015-9083-8

Abstract

In this study, we investigated the use of metabolic oligosaccharide engineering and bio-orthogonal ligation reactions combined with lectin microarray and mass spectrometry to analyze sialoglycoproteins in the SW1990 human pancreatic cancer line. Specifically, cells were treated with the azido N-acetylmannosamine analog, 1,3,4-Bu3ManNAz, to label sialoglycoproteins with azide-modified sialic acids. The metabolically labeled sialoglyproteins were then biotinylated via the Staudinger ligation, and sialoglycopeptides containing azido-sialic acid glycans were immobilized to a solid support. The peptides linked to metabolically labeled sialylated glycans were then released from sialoglycopeptides and analyzed by mass spectrometry; in parallel, the glycans from azido-sialoglycoproteins were characterized by lectin microarrays. This method identified 75 unique N-glycosite-containing peptides from 55 different metabolically labeled sialoglycoproteins of which 42 were previously linked to cancer in the literature. A comparison of two of these glycoproteins, LAMP1 and ORP150, in histological tumor samples showed overexpression of these proteins in the cancerous tissue demonstrating that our approach constitutes a viable strategy to identify and discover sialoglycoproteins associated with cancer, which can serve as biomarkers for cancer diagnosis or targets for therapy.

Keywords: Metabolic oligosaccharide engineering; Pancreatic cancer cells; Sialylated glycoproteins

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