Title : A strategy for precise and large scale identification of core fucosylated
glycoproteins
Abstract :
- Core fucosylation (CF) patterns of some glycoproteins are more sensitive and specific than evaluation of their total respective protein levels for diagnosis of many diseases, such as cancers
- Global profiling and quantitative characterization of CF glycoproteins may reveal potent biomarkers for clinical applications
- However, current techniques are unable to reveal CF glycoproteins precisely on a large scale
- Here we developed a robust strategy that integrates molecular weight cutoff, neutral loss-dependent MS(3), database-independent candidate spectrum filtering, and optimization to effectively identify CF glycoproteins
- The rationale for spectrum treatment was innovatively based on computation of the mass distribution in spectra of CF glycopeptides
- The efficacy of this strategy was demonstrated by implementation for plasma from healthy subjects and subjects with hepatocellular carcinoma
- Over 100 CF glycoproteins and CF sites were identified, and over 10,000 mass spectra of CF glycopeptide were found
- The scale of identification results indicates great progress for finding biomarkers with a particular and attractive prospect, and the candidate spectra will be a useful resource for the improvement of database searching methods for glycopeptides
Output (sent_index, trigger,
protein,
sugar,
site):
- 0. fucosylated, , glycoproteins, -, -
- 0. glycoproteins, , glycoproteins, -, -
- 1. fucosylation, , glycoproteins, -, -
- 1. glycoproteins, , glycoproteins, Core fucosylation (CF) patterns, -
- 2. glycoproteins, , glycoproteins, -, -
- 3. glycoproteins, , glycoproteins, -, -
- 4. glycoproteins, , glycoproteins, -, -
- 5. glycopeptides, , -, -, glycopeptides
- 7. glycopeptide, , -, -, glycopeptide
- 7. glycoproteins, , glycoproteins, -, -
- 8. glycopeptides, , -, -, glycopeptides
Output(Part-Of) (sent_index,
protein,
site):
*Output_Site_Fusion* (sent_index,
protein,
sugar,
site):