Profiling of 54 plasma glycoproteins by label-free targeted LC-MS/MS

被引:6
作者
Dahabiyeh, Lina A. [1 ,3 ]
Tooth, David [2 ]
Barrett, David A. [3 ]
机构
[1] Univ Jordan, Sch Pharm, Dept Pharmaceut Sci, Amman, Jordan
[2] Univ Nottingham, Sch Life Sci, Ctr Biomol Sci, Nottingham NG7 2RD, England
[3] Univ Nottingham, Sch Pharm, Adv Mat & Healthcare Technol Div, Ctr Analyt Biosci, Univ Pk, Nottingham NG7 2RD, England
关键词
Glycoprotein; Label-free; Targeted LC-MS/MS; ConA; RP-SPE; Stable isotope standard; REACTION MONITORING ASSAYS; MASS-SPECTROMETRY; HUMAN SERUM; BIOMARKER DISCOVERY; HYDRAZIDE CHEMISTRY; PROTEOMIC ANALYSIS; IDENTIFICATION; ENRICHMENT; QUANTITATION; PROTEIN;
D O I
10.1016/j.ab.2018.12.011
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Glycoproteins play a central role in diverse biological processes and are linked with many serious human diseases. In this paper we present a simple, reproducible and cost-effective analytical workflow that enables the reliable quantification of clinically relevant human plasma glycoproteins using label free microflow LC-MS/MS analysis. Plasma N-glycoproteins were selectively extracted via ConA Sepharose lectin affinity chromatography then separated into two fractions using reversed-phase solid phase extraction. LC-MS/MS analysis of the tryptic digest of both fractions identified 90 proteins from which 54 clinically relevant glycoproteins were selected for protein profiling. Careful assessment of the chosen peptides and transitions in terms of reproducibility, selectivity, signal intensity and peak shape was carried out. Measurement of the analytical precision of the method revealed the majority of glycoproteins showed a coefficient of variation (CV) <= 15% (median CV 11.8%, range 3.6-33%). The method was successfully applied to compare glycoproteins in plasma and serum and to detect changes in glycoprotein profile in perturbed plasma pre-treated with ammonium sulphate. Our results show that label-free methodology can be a cost-effective affordable alternative to stable isotope standard workflow when applied for relative protein quantification, especially when targeting a large number of proteins in bioanalytical measurements.
引用
收藏
页码:72 / 81
页数:10
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