Title |
Mass spectrometry-based analyses showing the effects of secretor and blood group status on salivary N-glycosylation
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Published in |
Clinical Proteomics, December 2015
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DOI | 10.1186/s12014-015-9100-y |
Pubmed ID | |
Authors |
Matthew E. Albertolle, Maria E. Hassis, Connie Jen Ng, Severino Cuison, Katherine Williams, Akraporn Prakobphol, Andrew B. Dykstra, Steven C. Hall, Richard K. Niles, H. Ewa Witkowska, Susan J. Fisher |
Abstract |
The carbohydrate portions of salivary glycoproteins play important roles, including mediating bacterial and leukocyte adhesion. Salivary glycosylation is complex. Many of its glycoproteins present ABO and Lewis blood group determinants. An individual's genetic complement and secretor status govern the expression of blood group antigens. We queried the extent to which salivary glycosylation varies according to blood group and secretor status. First, we screened submandibular/sublingual and parotid salivas collected as ductal secretions for reactivity with a panel of 16 lectins. We selected three lectins that reacted with the largest number of glycoproteins and one that recognized uncommon lactosamine-containing structures. Ductal salivas representing a secretor with complex blood group expression and a nonsecretor with a simple pattern were separated by SDS-PAGE. Gel slices were trypsin digested and the glycopeptides were individually separated on each of the four lectins. The bound fractions were de-N-glycosylated. LC-MS/MS identified the original glycosylation sites, the peptide sequences, and the parent proteins. The results revealed novel salivary N-glycosites and glycoproteins not previously reported. As compared to the secretor, nonsecretor saliva had higher levels of N-glycosylation albeit with simpler structures. Together, the results suggested a molecular basis for inter-individual variations in salivary protein glycosylation with functional implications for oral health. |
X Demographics
Geographical breakdown
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
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Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
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Demographic breakdown
Readers by professional status | Count | As % |
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Lecturer | 3 | 14% |
Student > Ph. D. Student | 3 | 14% |
Student > Master | 2 | 10% |
Student > Doctoral Student | 1 | 5% |
Student > Bachelor | 1 | 5% |
Other | 6 | 29% |
Unknown | 5 | 24% |
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Chemistry | 3 | 14% |
Computer Science | 1 | 5% |
Other | 1 | 5% |
Unknown | 5 | 24% |