We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Glycan Node Analysis Detects Varying Glycosaminoglycan Levels in Melanoma-Derived Extracellular Vesicles.
- Authors
Pendiuk Goncalves, Jenifer; Walker, Sierra A.; Aguilar Díaz de león, Jesús S.; Yang, Yubo; Davidovich, Irina; Busatto, Sara; Sarkaria, Jann; Talmon, Yeshayahu; Borges, Chad R.; Wolfram, Joy
- Abstract
Extracellular vesicles (EVs) play important roles in (patho)physiological processes by mediating cell communication. Although EVs contain glycans and glycosaminoglycans (GAGs), these biomolecules have been overlooked due to technical challenges in comprehensive glycome analysis coupled with EV isolation. Conventional mass spectrometry (MS)-based methods are restricted to the assessment of N-linked glycans. Therefore, methods to comprehensively analyze all glyco-polymer classes on EVs are urgently needed. In this study, tangential flow filtration-based EV isolation was coupled with glycan node analysis (GNA) as an innovative and robust approach to characterize most major glyco-polymer features of EVs. GNA is a molecularly bottom-up gas chromatography-MS technique that provides unique information that is unobtainable with conventional methods. The results indicate that GNA can identify EV-associated glyco-polymers that would remain undetected with conventional MS methods. Specifically, predictions based on GNA identified a GAG (hyaluronan) with varying abundance on EVs from two different melanoma cell lines. Enzyme-linked immunosorbent assays and enzymatic stripping protocols confirmed the differential abundance of EV-associated hyaluronan. These results lay the framework to explore GNA as a tool to assess major glycan classes on EVs, unveiling the EV glycocode and its biological functions.
- Subjects
EXTRACELLULAR vesicles; GLYCOSAMINOGLYCANS; ENZYME-linked immunosorbent assay; CELL communication; MASS spectrometry; GLYCANS
- Publication
International Journal of Molecular Sciences, 2023, Vol 24, Issue 10, p8506
- ISSN
1661-6596
- Publication type
Article
- DOI
10.3390/ijms24108506