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Updated: Apr 15, 2026

A Quantitative Glycomics and Proteomics Combined Purification Strategy

A Quantitative Glycomics and Proteomics Combined Purification Strategy

Published on: March 8, 2016

High-Throughput Analysis and Automation for Glycomics Studies.

Archana Shubhakar¹, Karli R Reiding², Richard A Gardner³

¹Ludger Ltd, Culham Science Centre, Abingdon, Oxfordshire UK ; Division of BioAnalytical Chemistry, VU University Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands.

Chromatographia

|March 28, 2015

Summary

High-throughput (HTP) glycomics advances enable better biopharmaceutical development and disease biomarker discovery. Challenges remain in accurately identifying and quantifying complex glycan structures for large-scale studies.

Keywords:

Analysis Automation Derivatization Glycomics High-throughput Integration

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Area of Science:

Analytical chemistry
Biochemistry
Biotechnology

Background:

Glycomics is crucial for biopharmaceutical quality by design and comparability studies.
Glycomics aids in discovering glycan biomarkers for diseases like cancer and neurodegenerative disorders.
Large-scale glycomics studies face challenges in sample complexity and accurate glycan structure identification.

Approach:

Review of high-throughput (HTP) analytical technologies for glycomics.
Focus on structural studies of glycoprotein glycosylation.
Covers HTP sample preparation, purification, robotization, UHPLC, MS, CE, hyphenated techniques, and automated data analysis.

Key Points:

HTP glycomics supports biopharmaceutical optimization and clinical biomarker discovery.
Accurate identification and quantitation of diverse, complex glycan structures are critical challenges.
Technologies reviewed include UHPLC, MS, CE, and automated data analysis for glycomics.

Conclusions:

Advances in HTP analytical technologies are essential for overcoming glycomics challenges.
Improved glycomics methods will enhance biopharmaceutical development and disease diagnostics.
Further development is needed to address reliability, throughput, labor, and cost for large-scale glycomics.