Low abundance and heterogeneity of N-glycosylation at the peptide level poses a great challenge to the structural and functional analysis of glycosylation in the field of glycobiology. Solving this conundrum requires a sufficient and specific method for intact N-glycopeptide enrichment. Using the C18 or HLB desalting column followed by the mixed-mode strong anion exchange (MAX) or hydrophilic interaction chromatography (HILIC) glycopeptide enrichment column are commonly applied approaches for sample preparation of intact N-glycopeptides from complex samples. Herein, we compared the effects of different combinations of two desalting columns and two enrichment columns using equal amounts of mouse brain tissues from the same source. The results revealed the C18 column was a bit superior to the HLB column, and the MAX and HILIC columns were complementary on intact N-glycopeptides enrichment. Additionally, the results also demonstrated that enriching glycopeptides using a HILIC column followed by a MAX column from the flow-through solution got a better enrichment performance than the reversed order. Based on these results, the sequential enrichment of glycopeptides using HILIC and then MAX columns could maximize the enrichment performance of intact N-glycopeptides, and therefore is an option for in-depth analysis of site-specific glycoproteome.
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http://dx.doi.org/10.1007/s00216-023-04919-w | DOI Listing |
Anal Bioanal Chem
December 2024
XJTLU Wisdom Lake Academy of Pharmacy-BEAVER Biomedical Joint Laboratory, Suzhou, 215123, China.
Protein glycosylation is one of the most important post-translational modifications, implicated in the development of various diseases, including neurodegenerative diseases, diabetes, and cancers. However, the low content of glycoproteins in biological samples, the diversity and heterogeneity of glycan structures, and insensitive detection methods make glycosylation analysis challenging. As a result, efficient enrichment of glycopeptides from complex samples is a critical step.
View Article and Find Full Text PDFJ Proteome Res
December 2024
Department of Respiratory & Critical Care Medicine, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu 610041, China.
Human plasma proteomic and glycoproteomic analyses have emerged as an alternate avenue to identify disease biomarkers and therapeutic approaches. However, the vast number of high-abundance proteins in plasma can cause mass spectrometry (MS) suppression, which makes it challenging to detect low-abundance proteins (LAP). Currently, immunoaffinity-based depletion methods and strategies involving nanomaterial protein coronas have been developed to remove high-abundance proteins (HAP) and enhance the depth of plasma protein identification.
View Article and Find Full Text PDFJ Proteome Res
November 2024
Center of Infectious Diseases and Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, China.
J Proteome Res
December 2024
Department of Chemistry, University of Washington, Seattle, Washington 98195, United States.
Tandem mass spectrometry (MS/MS) is the gold standard for intact glycopeptide identification, enabling peptide sequence elucidation and site-specific localization of glycan compositions. Beam-type collisional activation is generally sufficient for glycopeptides, while electron-driven dissociation is crucial for site localization in glycopeptides. Modern glycoproteomic methods often employ multiple dissociation techniques within a single LC-MS/MS analysis, but this approach frequently sacrifices sensitivity when analyzing multiple glycopeptide classes simultaneously.
View Article and Find Full Text PDFAnal Bioanal Chem
December 2024
Britton Chance Center for Biomedical Photonics at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
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