Mining for the data about glycosylation in the bovines-the analysis of the recently published studies

Anđelo Beletić1*, Ivana Duvnjak Orešković1, Tea Pribić1, and Gordan Lauc1,2

1Genos Ltd, Glycoscience Research Laboratory, Borongajska cesta 83H, 10000 Zagreb, Croatia

2Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovačića 1, 10000 Zagreb

abeletic [at] genos.hr

Abstract

Deciphering the glycosylation patterns and mechanisms in bovines (Bos taurus) holds the potential for improvement regarding reproduction, herd health management, and the quality and safety of milk and meat products. The PubMed database was searched for “glycosylation” and “B. taurus” using the following filters: full text available, the publication date of five years, and the preprints excluded. The search retrieved 244 results, and after the content analysis by the authors, 88 remained relevant. All publications were Research Articles except one Review. The assessment of the glycan profile composition was among the aims in 34, the functional aspects in 33, and the protein glycoforms in 12 studies. Ten studies brought data about the total glycome profile of the milk, tissue, or meat sample, while the other contained glycosylation-related features of the individual protein(s). Most often, the studies used milk (25), individual proteins (23), or tissue (20 studies) as the samples. Usually, the milk was material to analyze the glycosylation of casein, immunoglobulin G, or the total glycans. The studies involving the individual proteins most frequently analyzed fetuin, and the glycosylation of submaxillary gland mucin was the target in the studies using tissue samples. These pioneer data mining results allow for the conclusion on the availability of reliable data about glycosylation in the bovines, eligible as the starting point for further scientific efforts on their continuous appending, systematization, and multidisciplinary analyses.

Keywords: data mining, glycosylation, bovines

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