PMID: PMC4739677-2

 

    Legend: Gene, Sites

Title : Over the last few years mass spectrometry based glycoproteomics has experienced significant advances in terms of instrumentation, methodology and bioinformatics; resulting in a variety of excellent glycoproteomic publications that highlight the merits of high resolution mass spectra, complementary fragmentation techniques, improved multidimensional glycopeptide enrichment and separation techniques as well as sophisticated software tools (41)

Abstract :
  1. However, despite these advances—and despite its enormous clinical and pharmaceutical relevance as well as diagnostic potential—our knowledge about the human blood plasma glycoproteome is still very limited
  2. This holds particularly true for the human blood plasma O-glycoproteome
  3. Here several important questions can be raised: Which proteins are O-glycosylated
  4. , Which O-glycans are attached to which sites
  5. , Which dynamics in terms of the O-glycan micro- and macroheterogeneity can be observed in a certain biological context
  6. , What are the biological and biotechnological implications of O-glycosylation
  7. In the present study we have developed and employed an analytical workflow that allows the explorative, nontargeted analysis of the human blood plasma O-glycoproteome in a site-specific manner
  8. To this end intact human blood plasma O-glycopeptides , generated by a broad-specific proteolytic digest via Proteinase K , were selectively enriched using HILIC fractionation in order to be analyzed by multistage nanoRP-LC- ESI-IT-MS using low-energy CID as well as ETD ( CID-MS2 /MS3, ETD-MS2 )
  9. This combined workflow was applied on a pooled blood plasma sample derived from 20 healthy donors and allowed for the identification of 31 O-glycosylation sites in 22 proteins , including the detection of 11 previously unknown O-glycosylation sites
  10. We were able to pinpoint 23 O-glycosylation sites , of which eight sites have been described for the first time
  11. The identified O-glycan com positions most probably correspond to mono- and disialylated core-1 mucin-type O-glycans (T-antigen)
Output (sent_index, trigger, protein, sugar, site):
  • 0. glycopeptide, , -, -, glycopeptide
  • 10. O-glycosylation, , -, -, sites
  • 3. O-glycosylated, , proteins, -, -
  • 8. O-glycopeptides, , -, -, O-glycopeptides
  • 9. O-glycosylation, , -, -, sites
Output(Part-Of) (sent_index, protein, site):
*Output_Site_Fusion* (sent_index, protein, sugar, site):

 

 

Protein NCBI ID SENTENCE INDEX