Fig. 6: An integrative platform for N-Glycoproteomics identification (ID) query.

The platform provides comprehensive resources for N-glycoproteome data mining and analysis. Upper left panel: ID query in this study. An online resource integrating large-scale experimental N-glycoproteome data acquired from multiple mouse tissues in this study. Additional details on sample preparation, protease digestion, enrichment strategies, search engines, and confidence scores are available online. Upper right panel: ID query in literatures. Curated datasets from 60 published studies across human cell lines, body fluids, tissues (tumor and non-tumor), mouse disease models, and yeast models, encompassing 100k glycoforms, 16k glycosites, and 7.8k glycoproteins for humans, and 300k glycoforms, 35k glycosites, and 11k glycoproteins for mouse models. Lower left panel: biological insights. Examples of dysregulated glycosylation associated with various diseases, including neurological disorders (e.g., Alzheimer’s, Parkinson’s), immunological diseases (e.g., rheumatoid arthritis), breastfeeding (colostrum and mature milk), and oncology (e.g., pancreatic and ovarian cancers), supported by comparative disease glycoproteomics data. Lower right panel: theoretical plate analysis. Analysis of N-glycoproteins and N-glycosites, including the proportion experimentally identified versus undetected, distribution of the number of N-glycosites per N-glycopeptide. The website provides theoretical N-glycopeptide analysis functions such as glycoproteome overview, N-glycopeptide simulation generation, and N-glycosite mass/length/site distribution.