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Reviews & Perspectives
3 Results
- Review Special Issue: GlycoproteomicsOpen Access
Recent Advances in Analytical Approaches for Glycan and Glycopeptide Quantitation
Molecular & Cellular ProteomicsVol. 20100054Published online: February 19, 2021- Daniel G. Delafield
- Lingjun Li
Cited in Scopus: 0In Brief Recent years have seen an explosion in novel strategies for quantitative glycomics and glycoproteomics. Whether through metabolic incorporation of stable isotopes, deposition of custom isotopic labels, or high-throughput isobaric chemical tags, these numerous novel strategies provide ease of access to glycomic and glycoproteomic investigation. This review highlights the recent innovations in labeling methods, label-free strategies, acquisition modes, and bioinformatic tools for glycan and glycopeptide quantitation, while providing critical evaluations and technical considerations to enable effective analysis. - Review Special Issue: GlycoproteomicsOpen Access
Calculating Glycoprotein Similarities From Mass Spectrometric Data
Molecular & Cellular ProteomicsVol. 20100028Published online: January 5, 2021- William E. Hackett
- Joseph Zaia
Cited in Scopus: 0In Brief To understand the roles of glycoproteins in biological processes, it is necessary to quantify the changes that occur to glycosylation at individual sites and to the whole molecule. That glycoprotein glycosylation is inherently heterogeneous means that the distribution of glycoforms at each glycosite must be quantified in order to inform calculation of molecular similarities. We review analytical and statistical methods for determining glycoprotein molecular similarities from glycoproteomics data. - Review Special Issue: GlycoproteomicsOpen Access
Methods for Enrichment and Assignment of N-Acetylglucosamine Modification Sites
Molecular & Cellular ProteomicsVol. 20100031Published online: December 19, 2020- Jason C. Maynard
- Robert J. Chalkley
Cited in Scopus: 0In Brief This review article summarizes methods for O-GlcNAc enrichment and different mass spectrometric approaches for acquiring data on modified peptides and describes software strategies for analyzing data, including the challenges of reliably identifying modification sites and differentiating between other potential HexNAc modifications. It then presents a new dataset to exemplify what is currently achievable.