| Naslov: | Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens |
|---|
| Avtorji: | ID Willems, Esther (Avtor)
ID Gloerich, Jolein (Avtor)
ID Suppers, Anouk (Avtor)
ID Van der Flier, Michiel (Avtor)
ID Pokorn, Marko (Sodelavec pri raziskavi)
ID Kolnik, Mojca (Sodelavec pri raziskavi)
ID Vincek, Katarina (Sodelavec pri raziskavi)
ID Plankar Srovin, Tina (Sodelavec pri raziskavi)
ID Bahovec, Natalija (Sodelavec pri raziskavi)
ID Prunk, Petra (Sodelavec pri raziskavi)
ID Osterman, Veronika (Sodelavec pri raziskavi)
ID Avramoska, Tanja (Sodelavec pri raziskavi), et al. |
|---|
| Datoteke: |  PDF - Predstavitvena datoteka, prenos (4,99 MB)
MD5: 742837147037264DE1210177EDE7420B
 URL - Izvorni URL, za dostop obiščite https://www.sciencedirect.com/science/article/pii/S2589004223013342
|
|---|
| Jezik: | Angleški jezik |
|---|
| Tipologija: | 1.01 - Izvirni znanstveni članek |
|---|
| Organizacija: |  UKC LJ - Univerzitetni klinični center Ljubljana
|
|---|
| Povzetek: | 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. |
|---|
| Ključne besede: | plasma, roles, glycoproteomics, biomarkers, profiles, children, glycome |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Leto izida: | 2023 |
|---|
| Št. strani: | str. 1-18 |
|---|
| Številčenje: | Vol. 26, iss. 8, [article no.] 107257 |
|---|
| PID: | 20.500.12556/DiRROS-24136  |
|---|
| UDK: | 61 |
|---|
| ISSN pri članku: | 2589-0042 |
|---|
| DOI: | 10.1016/j.isci.2023.107257 |
|---|
| COBISS.SI-ID: | 243429123 |
|---|
| Opomba: | Nasl. z nasl. zaslona;
Opis vira z dne 22. 7. 2025;
|
|---|
| Datum objave v DiRROS: | 17.11.2025 |
|---|
| Število ogledov: | 92 |
|---|
| Število prenosov: | 38 |
|---|
| Metapodatki: |    |
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
