Site-Specific Glycosylation Quantitation of 50 Serum Glycoproteins Enhanced by Predictive Glycopeptidomics for Improved Disease Biomarker Discovery

Qiongyu Li, Muchena J. Kailemia, Alexander A. Merleev, Gege Xu, Daniel Serie, Lieza M. Danan, Fawaz Haj, Emanual Michael Maverakis, Carlito B Lebrilla

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Analysis of serum protein glycovariants has the potential to identify new biomarkers of human disease. However, the inability to rapidly quantify glycans in a site-specific fashion remains the major barrier to applying such biomarkers clinically. Advancements in sample preparation and glycopeptide quantification are thus needed to better bridge glycoscience with biomarker discovery research. We present here the successful utilization of several sample preparation techniques, including multienzyme digestion and glycopeptide enrichment, to increase the repertoire of glycopeptides that can be generated from serum glycoproteins. These techniques combined with glycopeptide retention time prediction and UHPLC-QqQ conditions optimization were then used to develop a dynamic multiple-reaction monitoring (dMRM)-based strategy to simultaneously monitor over 100 glycosylation sites across 50 serum glycoproteins. In total, the abundances of over 600 glycopeptides were simultaneously monitored, some of which were identified by utilizing theoretically predicted ion products and presumed m/z values. The dMRM method was found to have good sensitivity. In the targeted dMRM mode, the limit of quantitation (LOQ) of nine standard glycoproteins reached femtomole levels with dynamic ranges spanning 3-4 orders of magnitude. The dMRM-based strategy also showed high reproducibility with regards to both instrument and sample preparation performance. The high coverage of the serum glycoproteins that can be quantitated to the glycopeptide level makes this method especially suitable for the biomarker discovery from large sample sets. We predict that, in the near future, biomarkers, such as these, will be deployed clinically, especially in the fields of cancer and autoimmunity.

Original languageEnglish (US)
Pages (from-to)5433-5445
Number of pages13
JournalAnalytical Chemistry
Volume91
Issue number8
DOIs
StatePublished - Apr 16 2019

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Glycosylation
Glycopeptides
Biomarkers
Glycoproteins
Monitoring
Polysaccharides
Blood Proteins
Ions

ASJC Scopus subject areas

  • Analytical Chemistry

Cite this

Site-Specific Glycosylation Quantitation of 50 Serum Glycoproteins Enhanced by Predictive Glycopeptidomics for Improved Disease Biomarker Discovery. / Li, Qiongyu; Kailemia, Muchena J.; Merleev, Alexander A.; Xu, Gege; Serie, Daniel; Danan, Lieza M.; Haj, Fawaz; Maverakis, Emanual Michael; Lebrilla, Carlito B.

In: Analytical Chemistry, Vol. 91, No. 8, 16.04.2019, p. 5433-5445.

Research output: Contribution to journalArticle

Li, Qiongyu ; Kailemia, Muchena J. ; Merleev, Alexander A. ; Xu, Gege ; Serie, Daniel ; Danan, Lieza M. ; Haj, Fawaz ; Maverakis, Emanual Michael ; Lebrilla, Carlito B. / Site-Specific Glycosylation Quantitation of 50 Serum Glycoproteins Enhanced by Predictive Glycopeptidomics for Improved Disease Biomarker Discovery. In: Analytical Chemistry. 2019 ; Vol. 91, No. 8. pp. 5433-5445.
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