N- linked glycosylation is a common posttranslational modification of proteins that results in macroheterogeneity of the modification site. However, unlike simpler modifications, N- glycosylation introduces an additional layer of complexity with tens of thousands of possible structures arising from various dimensions, including different monosaccharide compositions, sequence structures, linking structures, isomerism, and three-dimensional conformations. This results in additional microheterogeneity of the modification site of N- glycosylation, i.e., the same N- glycosylation site can be modified with different glycans with a certain stoichiometric ratio. N- glycosylation regulates the structure and function of N- glycoproteins in a site- and structure-specific manner, and differential expression of N- glycosylation under disease conditions needs to be characterized through site- and structure-specific quantitative analysis. Numerous advanced methods ranging from sample preparation to mass spectrum analysis have been developed to distinguish N-glycan structures. Chemical derivatization of monosaccharides, online liquid chromatography separation and ion mobility spectrometry enable the physical differentiation of samples. Tandem mass spectrometry further analyzes the macro/microheterogeneity of intact N- glycopeptides through the analysis of fragment ions. Moreover, the development of search engines and AI-based software has enhanced our understanding of the dissociation patterns of intact N- glycopeptides and the clinical significance of differentially expressed intact N- glycopeptides. With the help of these modern methods, structure-specific N- glycoproteomics has become an important tool with extensive applications in the biomedical field.
Keyphrases
- liquid chromatography
- tandem mass spectrometry
- mass spectrometry
- high resolution
- gas chromatography
- ultra high performance liquid chromatography
- high resolution mass spectrometry
- high performance liquid chromatography
- solid phase extraction
- simultaneous determination
- machine learning
- mental health
- physical activity
- artificial intelligence
- ms ms
- gas chromatography mass spectrometry
- liquid chromatography tandem mass spectrometry