Literature DB >> 20858014

Sialylated Lewis x antigen bearing glycoproteins in human plasma.

Wonryeon Cho1, Kwanyoung Jung, Fred E Regnier.   

Abstract

Recent studies have shown that antibodies targeting Lewis x (Le(x)) antigen are a valuable tool in the isolation and identification of glycoproteins in plasma. A focus of this study was to determine whether sialylated Lewis x (sLe(x)) antigen carrying glycoproteins occur in human plasma and whether an antibody targeting this antigen could be used to isolate and identify glycoproteins bearing this antigen. An additional objective was to determine the degree to which proteins conjugated to Le(x) and sLe(x) antigens are similar in structure. A specific anti-sLe(x) antibody (anti-sLe(x)Ab), CHO-131, immobilized in an immunoaffinity column was used to select a set of specific sLe(x) bearing proteins from human plasma, after which they were identified by either of two analytical strategies. One approach was to further resolve the affinity selected proteins by reversed phase chromatography (RPC), tryptic digest the RPC fractions, and identify peptide fragments by MALDI-MS/MS. The second was to tryptic digest the affinity selected protein fraction, further resolve the tryptic fragments by RPC, and identify peptides from RPC fractions by MALDI-MS/MS. Histidine-rich glycoprotein, plasminogen, apolipoprotein A-I, vitronectin, proteoglycan-4, clusterin, Ig gamma-2 chain C region, Ig mu chain C region, and interalpha-trypsin inhibitor heavy chain H4 were found to change three folds or more in association with breast cancer. Fifty percent of the glycoproteins carrying either sLe(x) antigen from CHO-131 selection, Le(x) antigen from selection with TG-1 antibody, or both were found to be changed three folds or more in concentration in breast cancer plasma relative to controls.

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Year:  2010        PMID: 20858014      PMCID: PMC2976037          DOI: 10.1021/pr100747p

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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10.  Proteomic Analysis of Urine to Identify Breast Cancer Biomarker Candidates Using a Label-Free LC-MS/MS Approach.

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