A Glycoproteome Data Mining Strategy for Characterizing Structural Features of Altered Glycans with Thymic Involution.

ABSTRACT: Glycosylation plays an important role in regulating innate and adaptive immunity. With promising advances in structural and site-specific glycoproteomics, how to thoroughly extract important information from these multi-dimensional data has become another unresolved issue. The present study reports a comprehensive data mining strategy to systematically extract overall and altered glycan features from quantitative glycoproteome data. By applying the strategy to investigation of thymic involution, the study not only presents a high-resolution glycoproteome map of the mouse thymus, displaying distinct glycan structure patterns among immune-relevant cellular components, but also uncovers four major altered glycan features associated with thymic involution, including elevated LacdiNAc mainly on

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC12520470 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature