MassIVE MSV000079045

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Whole milk proteome of human and rhesus macaque during peak lactation

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Description

Milk has been well established as the optimal nutrition source for infants, yet there is still much to be understood about its molecular composition. Therefore, our objective was to develop and compare comprehensive milk proteomes for human and rhesus macaques to highlight differences in neonatal nutrition. We developed a milk proteomics technique that overcomes previous technical barriers including pervasive post-translational modifications and limited sample volume. We identified 1,606 and 518 proteins in human and macaque milk, respectively. During analysis of detected protein orthologs, we identified 88 differentially abundant proteins. Of these, 93% exhibited increased abundance in human milk relative to macaque and include lactoferrin, polymeric immunoglobulin receptor, alpha-1 antichymotrypsin, vitamin D-binding protein, and haptocorrin. Furthermore, proteins more abundant in human milk compared to macaque are associated with development of the gastrointestinal tract, the immune system, and the brain. Overall, our novel proteomics method reveals the first comprehensive macaque milk proteome and 524 newly identified human milk proteins. The differentially abundant proteins observed are consistent with the perspective that human infants, compared to non-human primates, are born at a slightly earlier stage of somatic development and require additional support through higher quantities of specific proteins to nurture human infant maturation. [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Milk ; Lactation ; Mammary gland

Contact

Principal Investigators:
(in alphabetical order) 		Danielle Lemay
Submitting User: kbeck

Publications

Beck KL, Weber D, Phinney BS, Smilowitz JT, Hinde K, Lönnerdal B, Korf I, Lemay DG.
Comparative proteomics of human and macaque milk reveals species-specific nutrition during post-natal development.
J. Proteome Res. Epub 2015 Mar 11.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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