Milk proteome from in silico data aggregation allows the identification of putative biomarkers of negative energy balance in dairy cows.

ABSTRACT: A better knowledge of the bovine milk proteome and its main drivers is a prerequisite for the modulation of bioactive proteins in milk for human nutrition, as well as for the discovery of biomarkers that are useful in husbandry and veterinary medicine. Milk composition is affected by lactation stage and reflects, in part, the energy balance of dairy cows. We aggregated the cow milk proteins reported in 20 recent proteomics publications to produce an atlas of 4654 unique proteins. A multistep assessment was applied to the milk proteome datasets according to lactation stages and milk fractions, including annotations, pathway analysis and literature mining. Fifty-nine proteins were exclusively detected in milk from early lactation. Among them, we propose six milk proteins as putative biomarke

SUBMITTER: Delosiere M 

PROVIDER: S-EPMC6609625 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature