| Title: | Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens |
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| Authors: | ID Willems, Esther (Author)
ID Gloerich, Jolein (Author)
ID Suppers, Anouk (Author)
ID Van der Flier, Michiel (Author)
ID Pokorn, Marko (Research coworker)
ID Kolnik, Mojca (Research coworker)
ID Vincek, Katarina (Research coworker)
ID Plankar Srovin, Tina (Research coworker)
ID Bahovec, Natalija (Research coworker)
ID Prunk, Petra (Research coworker)
ID Osterman, Veronika (Research coworker)
ID Avramoska, Tanja (Research coworker), et al. |
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| Files: |  PDF - Presentation file, download (4,99 MB)
MD5: 742837147037264DE1210177EDE7420B
 URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S2589004223013342
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  UKC LJ - Ljubljana University Medical Centre
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| Abstract: | Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttrans-lational modifications, which are essential for protein functional diversity. We applied an innovative glycoproteomics method to study the systemic prote-ome-wide glycosylation in response to infection. The protein site-specific glyco-sylation was characterized in plasma derived from well-defined controls and patients. We found 3862 unique features, of which we identified 463 distinct intact glycopeptides, that could be mapped to more than 30 different proteins. Statistical analyses were used to derive a glycopeptide signature that enabled significant differentiation between patients with a bacterial or viral infection. Furthermore, supported by a machine learning algorithm, we demonstrated the ability to identify the causative pathogens based on the distinctive host blood plasma glycopeptide signatures. These results illustrate that glycoproteomics holds enormous potential as an innovative approach to improve the interpreta-tion of relevant biological changes in response to infection. |
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| Keywords: | plasma, roles, glycoproteomics, biomarkers, profiles, children, glycome |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Year of publishing: | 2023 |
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| Number of pages: | str. 1-18 |
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| Numbering: | Vol. 26, iss. 8, [article no.] 107257 |
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| PID: | 20.500.12556/DiRROS-24136  |
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| UDC: | 61 |
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| ISSN on article: | 2589-0042 |
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| DOI: | 10.1016/j.isci.2023.107257 |
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| COBISS.SI-ID: | 243429123 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 22. 7. 2025;
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| Publication date in DiRROS: | 17.11.2025 |
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| Views: | 94 |
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| Downloads: | 40 |
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