Title : Efficient and accurate
glycopeptide identification pipeline for high-throughput site-specific N-glycosylation analysis
Abstract :
- Study of site-specific N-glycosylation in complex sample remains a huge analytical challenge because protein glycosylation is structurally diverse in post-translational modifications, resulting in an intricacy of N-glycopeptides
- Here we have developed a novel approach for high-throughput N-glycopeptide profiling based on a network-centric algorithm for deciphering glycan fragmentation in mass spectrometry
- We performed an extensive validation and a high-throughput N-glycosylation study on serum and identified thousands of N-glycopeptide spectra with high confidence
- The results revealed a similar level of glycan microheterogeneity to that of conventional glycomics approach on individual proteins and provided the unique in-depth site-specific information that could only be studied through glycopeptide profiling
Output (sent_index, trigger,
protein,
sugar,
site):
- 0. glycopeptide, , -, -, glycopeptide
- 1. N-glycopeptides, , -, -, N-glycopeptides
- 2. N-glycopeptide, , -, -, N-glycopeptide
- 3. N-glycopeptide, , -, -, N-glycopeptide
- 4. glycopeptide, , -, -, glycopeptide
Output(Part-Of) (sent_index,
protein,
site):
*Output_Site_Fusion* (sent_index,
protein,
sugar,
site):