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A Lectin HPLC Method to Enrich Selectively-glycosylated Peptides from Complex Biological Samples
Published on: October 1, 2009
Membrane glycoproteins associated with breast tumor cell progression identified by a lectin affinity approach
Yanfei Wang1, Xiaoping Ao, Huy Vuong
1Department of Chemistry, The University of Michigan, 930 North University Avenue, Ann Arbor, Michigan 48109-1055, USA.
Abstract:
The membrane glycoprotein component of the cellular proteome represents a promising source for potential disease biomarkers and therapeutic targets. Here we describe the development of a method that facilitates the analysis of membrane glycoproteins and apply it to the differential analysis of breast tumor cells with distinct malignant phenotypes. The approach combines two membrane extraction procedures, and enrichment using ConA and WGA lectin affinity columns, prior to digestion and analysis by LC-MS/MS. The glycoproteins are identified and quantified by spectral counting. Although the distribution of glycoprotein expression as a function of MW and p I was very similar between the two related cell lines tested, the approach enabled the identification of several distinct membrane glycoproteins with an expression index correlated with either a precancerous (MCF10AT1), or a malignant, metastatic cellular phenotype (MCF10CA1a). Among the proteins associated with the malignant phenotype, Gamma-glutamyl hydrolase, CD44, Galectin-3-binding protein, and Syndecan-1 protein have been reported as potential biomarkers of breast cancer.

