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Mass spectrometry-based analyses showing the effects of secretor and blood group status on salivary N-glycosylation

Overview of attention for article published in Clinical Proteomics, December 2015
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Title
Mass spectrometry-based analyses showing the effects of secretor and blood group status on salivary N-glycosylation
Published in
Clinical Proteomics, December 2015
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.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
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%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 19%
Medicine and Dentistry 4 19%
Agricultural and Biological Sciences 3 14%
Chemistry 3 14%
Computer Science 1 5%
Other 1 5%
Unknown 5 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2015.
All research outputs
#15,352,477
of 22,836,570 outputs
Outputs from Clinical Proteomics
#177
of 285 outputs
Outputs of similar age
#230,601
of 393,178 outputs
Outputs of similar age from Clinical Proteomics
#4
of 5 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 285 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,178 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.