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Related Experiment Video

Updated: Jun 30, 2026

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
10:59

Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments

Published on: February 7, 2025

Recent advancements in sample pretreatment methods for glycoproteomics.

Wei Zhang1, Siyuan Kong1, Weiqian Cao1

  • 1Shanghai Fifth People's Hospital and Institutes of Biomedical Sciences, NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200433, China.

Biophysics Reports
|June 29, 2026
PubMed
Summary

Glycoprotein analysis is crucial for understanding biology and disease, but glycan complexity poses challenges. This review highlights advancements in sample preparation for bottom-up glycoproteomics (LC-MS) to improve efficiency and applications.

Keywords:
Enrichment strategiesGlycoproteomicsHigh-throughput analysisSample pretreatment

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Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Molecular Biology

Background:

  • Protein glycosylation plays vital roles in biological processes and disease.
  • The structural complexity and heterogeneity of glycans present significant analytical challenges.
  • Bottom-up glycoproteomics using liquid chromatography-mass spectrometry (LC-MS) is a key technique for detailed glycoprotein analysis.

Purpose of the Study:

  • To review current sample pretreatment workflows in glycoproteomics.
  • To emphasize recent advancements in sample preparation and enrichment strategies over the last decade.
  • To discuss challenges and future directions in glycoproteomic sample preparation.

Main Methods:

  • Review of literature on glycoproteomics sample preparation techniques.
  • Focus on liquid chromatography-mass spectrometry (LC-MS)-based methods.
  • Analysis of advancements in enrichment strategies for glycopeptides.

Main Results:

  • Sample pretreatment is a critical step influencing LC-MS-based glycoproteomics outcomes.
  • Recent decade advancements have improved enrichment efficiency and high-throughput compatibility.
  • Enhanced strategies show promise for diverse biological sample applications.

Conclusions:

  • Optimized sample preparation is essential for robust glycoproteomics.
  • Continued innovation in enrichment techniques is needed to address remaining challenges.
  • Future directions include further improving efficiency, throughput, and applicability to complex biological systems.