ArticleAnalytical chemistry2019
Surface Glycoproteomic Analysis Reveals That Both Unique and Differential Expression of Surface Glycoproteins Determine the Cell Type.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Mass Spectrometry-Based Proteomics Methods for Systematic Identification and Quantification of Protein O-Glycosylation in Complex Biological Samples.Journal of the American Society for Mass Spectrometry · 2026Review
- Dynamic profiling of medulloblastoma surfaceome.Acta neuropathologica communications · 2023Article
- Identification and targeting of protein tyrosine kinase 7 (PTK7) as an immunotherapy candidate for neuroblastoma.Cell reports. Medicine · 2023Article
- Deciphering the Properties and Functions of Glycoproteins Using Quantitative Proteomics.Journal of proteome research · 2023Review
- Systematic characterization of extracellular glycoproteins using mass spectrometry.Mass spectrometry reviews · 2023Review
- Spatial and temporal proteomics reveals the distinct distributions and dynamics of O-GlcNAcylated proteins.Cell reports · 2022Article
- Cancer glycomics offers potential biomarkers and therapeutic targets in the framework of 3P medicine.Frontiers in endocrinology · 2022Review
- Enhancing Comprehensive Analysis of Secreted Glycoproteins from Cultured Cells without Serum Starvation.Analytical chemistry · 2021Article
- Unraveling the surface glycoprotein interaction network by integrating chemical crosslinking with MS-based proteomics.Chemical science · 2021Article
- A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics.Molecular & cellular proteomics : MCP · 2021Review
- Effective Method for Accurate and Sensitive Quantitation of Rapid Changes of Newly Synthesized Proteins.Analytical chemistry · 2020Article
- Systematic quantification of the dynamics of newly synthesized proteins unveiling their degradation pathways in human cells.Chemical science · 2020Article
- Recent Advances in Glycoproteomic Analysis by Mass Spectrometry.Analytical chemistry · 2020Review
- Glycobiology and proteomics: has mass spectrometry moved the field forward?Expert review of proteomicsArticle
- Mass spectrometry-based methods for investigating the dynamics and organization of the surfaceome: exploring potential clinical implications.Expert review of proteomicsReview
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Proteins on the cell surface are frequently glycosylated, and they are essential for cells. Surface glycoproteins regulate nearly every extracellular event, but compared with global analysis of proteins, comprehensive and site-specific analysis of surface glycoproteins is much more challenging and dramatically understudied. Here, combining metabolic labeling, click-chemistry and enzymatic reactions, and mass spectrometry-based proteomics, we globally characterized surface glycoproteins from eight popular types of human cells. This integrative and effective method allowed for the identification of 2172 N-glycosylation sites and 1047 surface glycoproteins. The distribution and occurrence of N-glycosylation sites were systematically investigated, and protein secondary structures were found to have a dramatic influence on glycosylation sites. As expected, most sites are located on disordered regions. For the sites with the motif N-!P-C, about one-third of them are located on helix structures, while those with the motif N-!P-S/T prefer strand structures. There is almost no correlation between the number of glycosylation sites and protein length, but the number of sites corresponds well with the frequencies of the motif. Quantification results reveal that besides cell-specific glycoproteins, the uniqueness of each cell type further arises from differential expression of surface glycoproteins. The current research indicates that multiple surface glycoproteins including their abundances need to be considered for cell classification rather than a single cluster of differentiation (CD) protein normally used in conventional methods. These results provide valuable information to the glycoscience and biomedical communities and aid in the discovery of surface glycoproteins as disease biomarkers and drug targets.
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