4.7 Review

A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics

Journal

MOLECULAR & CELLULAR PROTEOMICS
Volume 20, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1074/mcp.R120.002277

Keywords

-

Funding

  1. Howard Hughes Medical Institute
  2. National Institutes of Health [R01 CA200423]
  3. National Institutes of Health (NIH) Common Fund [CA226051]
  4. Alliance of Glycobiologists: U01 Grant [CA226051]
  5. NIH Predoctoral to Postdoctoral Transition Award [K00 CA212454]

Ask authors/readers for more resources

Glycosylation, a prevalent but heterogeneous modification in molecular biology, has broad implications. The choice of enrichment strategy significantly impacts experimental outcomes in glycoproteomics research, which continues to gain interest with advancements in mass spectrometry instrumentation and software.
Glycosylation is a prevalent, yet heterogeneous modification with a broad range of implications in molecular biology. This heterogeneity precludes enrichment strategies that can be universally beneficial for all glycan classes. Thus, choice of enrichment strategy has profound implications on experimental outcomes. Here we review common enrichment strategies used in modern mass spectrometry-based glycoproteomic experiments, including lectins and other affinity chromatographies, hydrophilic interaction chromatography and its derivatives, porous graphitic carbon, reversible and irreversible chemical coupling strategies, and chemical biology tools that often leverage bioorthogonal handles. Interest in glycoproteomics continues to surge as mass spectrometry instrumentation and software improve, so this review aims to help equip researchers with the necessary information to choose appropriate enrichment strategies that best complement these efforts.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available