| Autor: |
Zhu J; Department of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States., Chen Z; Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States., Zhang J; Department of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States., An M; Department of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States., Wu J; Department of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States., Yu Q; School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States., Skilton SJ; Protein Metrics Incorporated, San Carlos , California 94070 , United States., Bern M; Protein Metrics Incorporated, San Carlos , California 94070 , United States., Ilker Sen K; Protein Metrics Incorporated, San Carlos , California 94070 , United States., Li L; Department of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.; School of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States., Lubman DM; Department of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States. |
| Abstrakt: |
Intact N-glycopeptide analysis remains challenging due to the complexity of glycopeptide structures, low abundance of glycopeptides in protein digests, and difficulties in data interpretation/quantitation. Herein, we developed a workflow that involved advanced methodologies, the EThcD-MS/MS fragmentation method and data interpretation software, for differential analysis of the microheterogeneity of site-specific intact N-glycopeptides of serum haptoglobin between early hepatocellular carcinoma (HCC) and liver cirrhosis. Haptoglobin was immunopurified from 20 μL of serum in patients with early HCC, liver cirrhosis, and healthy controls, respectively, followed by trypsin/GluC digestion, glycopeptide enrichment, and LC-EThcD-MS/MS analysis. Identification and differential quantitation of site-specific N-glycopeptides were performed using a combination of Byonic and Byologic software. In total, 93, 87, and 68 site-specific N-glycopeptides were identified in early HCC, liver cirrhosis, and healthy controls, respectively, with high confidence. The increased variety of N-glycopeptides in liver diseases compared to healthy controls was due to increased branching with hyper-fucosylation and sialylation. Differential quantitation analysis showed that 5 site-specific N-glycopeptides on sites N184 and N241 were significantly elevated in early HCC compared to cirrhosis ( p < 0.05) and normal controls ( p ≤ 0.001). The result demonstrates that the workflow provides a strategy for detailed profiles of N-glycopeptides of patient samples as well as for relative quantitation to determine the level changes in site-specific N-glycopeptides between disease states. |
