Mass spectrometry data from identification of host-defense related proteins using label-free quantitative proteomic analysis of milk whey from cows with Staphylococcus aureus subclinical mastitis

Shaimaa Abdelmegid; Jayaseelan Murugaiyan; Mohamed Abo-Ismail; Jeff Caswell; David Kelton; Gordon Kirby

Data in Brief (Feb 2019)

Mass spectrometry data from identification of host-defense related proteins using label-free quantitative proteomic analysis of milk whey from cows with Staphylococcus aureus subclinical mastitis

Shaimaa Abdelmegid,
Jayaseelan Murugaiyan,
Mohamed Abo-Ismail,
Jeff Caswell,
David Kelton,
Gordon Kirby

Affiliations

Shaimaa Abdelmegid: Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Canada
Jayaseelan Murugaiyan: Freie Universität Berlin, Institute of Animal Hygiene and Environmental Health, Centre for Infectious Medicine, Berlin, Germany; Corresponding authors.
Mohamed Abo-Ismail: Department of Animal Biosciences, Ontario Agriculture College, University of Guelph, Guelph, Canada
Jeff Caswell: Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, Canada
David Kelton: Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, Canada
Gordon Kirby: Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Canada; Corresponding authors.

Journal volume & issue: Vol. 22
pp. 909 – 913

Abstract

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This dataset is associated with our research article ‘Identification of host-defence related proteins using label-free quantitative proteomic analysis of milk whey from cows with Staphylococcus aureus Subclinical mastitis’ published in International Journal of Molecular Sciences. Milk samples were collected from cows suffering from S. aureus-associated subclinical mastitis and the proteins abundance were identified in comparison with samples collected from the control cows using liquid chromatography-mass spectrometry (LC-MS)-based label free proteomics analysis. Following the MS measurements, the raw spectra were processed using MaxQuant-Andromeda software and the protein identification was carried out through a search against Uniprot FASTA files of the Bos taurus reference proteome. Perseus software analysis was applied for computation of protein abundance. The raw file presented in this DiB was deposition at PRIDE repository in the PRIDE repository with the dataset identifier PXD007516.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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