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Keyword
- ETD2
- HCD2
- AAL1
- Aleuria aurantia lectin1
- AX1
- Chinese Hamster Ovary1
- CHO1
- CID1
- Collisional-Induced Dissociation1
- ConA1
- CuAAC, i.e., "click" chemistry1
- Data-Dependent Acquisition1
- Data-Independent Acquisition1
- DDA1
- ECD1
- Electron Transfer Dissociation1
- Electron Transfer/Collisional-Induced Dissociation1
- Electron Transfer/Higher-Energy Dissociation1
- Electrospray Ionization1
- ERLIC1
- ESI1
- ETciD1
- EThcD1
Reviews & Perspectives
2 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
A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry–Based Glycoproteomics
Molecular & Cellular ProteomicsVol. 20100029Published online: December 19, 2020- Nicholas M. Riley
- Carolyn R. Bertozzi
- Sharon J. Pitteri
Cited in Scopus: 0In Brief Interest in mass spectrometry–based glycoproteomics analysis is increasing because of recent advances in instrumentation and data analysis tools. Such studies can provide a wealth of information across a wide spectrum of glycan classes and biological systems. However, many studies require the choice of an enrichment strategy for glycosylated species prior to analysis to obtain the maximum amount of analytical information. Here, common enrichment strategies are reviewed with strengths and weaknesses, and the practical considerations for various methods are discussed.