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Construction of a Natural Mucin Microarray and Interrogation for Biologically Relevant Glyco-Epitopes

Overview of attention for article published in Analytical Chemistry, March 2012
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Title
Construction of a Natural Mucin Microarray and Interrogation for Biologically Relevant Glyco-Epitopes
Published in
Analytical Chemistry, March 2012
DOI 10.1021/ac203404n
Pubmed ID
Authors

Michelle Kilcoyne, Jared Q. Gerlach, Ronan Gough, Mary E. Gallagher, Marian Kane, Stephen D. Carrington, Lokesh Joshi

Abstract

Mucins are the principal components of mucus, and mucin glycosylation has important roles in defense, microbial adhesion, immunomodulation, inflammation, and cancer. Mucin expression and glycosylation are dynamic, responding to changes in local environment and disease. Potentially hundreds of heterogeneous glycans can substitute one mucin molecule, and it is difficult to identify biologically accessible glyco-epitopes. Thirty-seven mucins, from the reproductive and gastrointestinal (GI) tracts of six species (bovine, ovine, equine, porcine, chicken, and deer) and from two human-derived cell lines, were purified. Following optimization of mucin printing and construction of a novel mucin microarray, the glycoprofiles of the whole mucins on the microarray were compared using a panel of lectins and one antibody. Accessible glyco-motifs of GI mucins varied according to species and localization of mucin origin, with terminal fucose, the sialyl T-antigen, and N-linked oligosaccharides identified as potentially important. The occurrence of T- and sialyl T-antigen varied in bovine and ovine reproductive tract mucins, and terminal N-acetylgalactosamine (GalNAc) and sulfated carbohydrates were detected. This study introduces natural mucin microarrays as an effective tool for profiling mucin glyco-epitopes and highlights their potential for discovery of biologically important motifs in bacterial-host interactions and fertility.

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The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
Unknown 77 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 29%
Student > Ph. D. Student 21 27%
Student > Bachelor 5 6%
Student > Master 5 6%
Other 4 5%
Other 11 14%
Unknown 10 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 30%
Chemistry 15 19%
Biochemistry, Genetics and Molecular Biology 10 13%
Immunology and Microbiology 4 5%
Engineering 4 5%
Other 8 10%
Unknown 14 18%
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 14 March 2012.
All research outputs
#20,721,996
of 23,321,213 outputs
Outputs from Analytical Chemistry
#24,643
of 26,824 outputs
Outputs of similar age
#143,310
of 158,002 outputs
Outputs of similar age from Analytical Chemistry
#225
of 231 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,824 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.