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Updated: Feb 7, 2026

In Vivo Immunogenicity Screening of Tumor-Derived Extracellular Vesicles by Flow Cytometry of Splenic T Cells
Published on: September 23, 2021
Distinct Proteomic and Glycosylation Signatures Differentiate A549 Tumor and BEAS-2B Nontumor Cell Line-Derived Small
Mirjam Balbisi1, Tamás Langó2, Virág Nikolett Horváth3
1MTA-HUN-REN TTK Lendület (Momentum) Glycan Biomarker Research Group, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary; Doctoral School, Semmelweis University, Budapest, Hungary.
None:
Extracellular vesicles (EVs) are central to intercellular communication and have gained attention as rich sources of molecular information in cancer research, but their molecular composition remains incompletely characterized. Protein glycosylation is a frequent post-translational modification; however, most EV studies focus on proteomics, whereas mapping glycosylation changes of proteins is still under-represented. To address this gap, we analyzed the proteomic, N-glycoproteomic, and chondroitin sulfate/dermatan sulfate (CS/DS) glycosaminoglycan (GAG) profiles of small EVs (sEVs) derived from A549 lung adenocarcinoma and BEAS-2B nontumorigenic epithelial cells. Principal component analysis and hierarchical clustering revealed that all three profiles strongly reflect sEV origin. Comparative proteomic analysis showed enrichment of proteins associated with cell cycle regulation, DNA repair, metabolism, and protein synthesis in A549 sEVs, whereas immune-related processes were enriched in BEAS-2B sEVs. Five differentially expressed CS proteoglycans were identified, highlighting the value of complementary GAG-level analysis. N-glycoproteomics revealed a shift from oligomannose to complex N-glycans in A549 sEVs. Prominent glycoproteins with multiple glycosylation sites included versican, galectin-3-binding protein, and laminins. CS/DS content increased 3.4-fold in A549 sEVs, whereas the ratio of the two monosulfated disaccharides changed twofold. These findings demonstrate the utility of N-glycoproteomics and GAG profiling for sensitively characterizing molecular differences between sEVs derived from different cell culture models, thereby providing a foundation for future EV biomarker studies.
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