Protein N-glycosylation is a heterogeneous post-translational modification and plays important roles in various physiopathological processes, especially in the progression of tumors. Many biomarkers for various cancers are glycoproteins, such as prostate specific antigen (PSA), alpha fetoprotein (AFP), and immunoglobulin gamma molecules (IgGs). The identification and functional validation of glycoproteins is important to revealing the role of glycoproteins in biological processes and diseases. Due to the complexity of glycosylation (micro- and macro-heterogeneity), it is challenging to comprehensively identify and analyze intact glycopeptides.
The aim of this Research Topic is to provide methods or strategies for clinical glycoproteomics research. We would like to encourage scientific discoveries, such as (1) New methods, techniques, enrichment materials, software, database which can be used in clinical glycoproteomics, (2) biological function analysis of protein glycosylation in disease and related application research.
In this Research Topic, we seek to report and review the most current findings on new methods, techniques, enrichment materials, database, glycan function in clinical glycoproteomics . We welcome the submission of Original Research, Reviews and Mini-Reviews covering, but not limited to, the following topics:
• New sample processing methods and techniques for clinical glycoproteomics
• Glycosylation analysis on Disease-associated glycoproteins, such as spike protein of SARS-CoV-2
• Advanced characterization of O-glycosylated proteins, such as mucin-type O-glycosylation and O-GlcNAcylation
• Studies on the relationship between glycosylation and diseases
• Advanced analytical strategies or new materials for the high-throughput and automated characterization of site- specific glycosylation of proteins, like intact glycopeptide analysis, DIA method in glycoprotein analysis, and top-down glycoproteomics
• Development of glyco-related databases and search engines
Protein N-glycosylation is a heterogeneous post-translational modification and plays important roles in various physiopathological processes, especially in the progression of tumors. Many biomarkers for various cancers are glycoproteins, such as prostate specific antigen (PSA), alpha fetoprotein (AFP), and immunoglobulin gamma molecules (IgGs). The identification and functional validation of glycoproteins is important to revealing the role of glycoproteins in biological processes and diseases. Due to the complexity of glycosylation (micro- and macro-heterogeneity), it is challenging to comprehensively identify and analyze intact glycopeptides.
The aim of this Research Topic is to provide methods or strategies for clinical glycoproteomics research. We would like to encourage scientific discoveries, such as (1) New methods, techniques, enrichment materials, software, database which can be used in clinical glycoproteomics, (2) biological function analysis of protein glycosylation in disease and related application research.
In this Research Topic, we seek to report and review the most current findings on new methods, techniques, enrichment materials, database, glycan function in clinical glycoproteomics . We welcome the submission of Original Research, Reviews and Mini-Reviews covering, but not limited to, the following topics:
• New sample processing methods and techniques for clinical glycoproteomics
• Glycosylation analysis on Disease-associated glycoproteins, such as spike protein of SARS-CoV-2
• Advanced characterization of O-glycosylated proteins, such as mucin-type O-glycosylation and O-GlcNAcylation
• Studies on the relationship between glycosylation and diseases
• Advanced analytical strategies or new materials for the high-throughput and automated characterization of site- specific glycosylation of proteins, like intact glycopeptide analysis, DIA method in glycoprotein analysis, and top-down glycoproteomics
• Development of glyco-related databases and search engines
