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. 2020 May 6:30:105665.
doi: 10.1016/j.dib.2020.105665. eCollection 2020 Jun.

Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk

Salvatore Pisanu  1 , Carla Cacciotto  1 , Daniela Pagnozzi  1 , Sergio Uzzau  1   2   3 , Claudia Pollera  4 , Martina Penati  4 , Valerio Bronzo  4 , Maria Filippa Addis  1   3   4
Affiliations

Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk

Salvatore Pisanu et al. Data Brief. .

Abstract

We present a proteomic dataset generated from half-udder Alpine goat milk. The milk samples belonged to 3 groups: i) mid-lactation, low somatic cell count, uninfected milk (MLU, n=3); ii) late lactation, high somatic cell count, uninfected milk (LHU, n=3); and late lactation, high somatic cell count, Staphylococcus aureus subclinically infected milk (LHS, n=3). The detailed description of results is reported in the research article entitled "Impact of Staphylococcus aureus infection on the late lactation goat milk proteome: new perspectives for monitoring and understanding mastitis in dairy goats". After milk defatting, high speed centrifugation and trypsin digestion of milk with the FASP protocol, peptide mixtures were analyzed by LC-MS/MS on a Q-Exactive. Peptide identification was carried out using Sequest-HT in Proteome Discoverer. Then, the Normalized Abundance Spectrum Factor (NSAF) value was calculated by label free quantitation using the spectral counting approach, and Gene Ontology (GO) annotation by Uniprot was carried out by reporting biological process, molecular function and cellular component. The MS data have been deposited to the ProteomeXchange via the PRIDE with the dataset identifier PXD017243.

Keywords: FASP; Goat milk; Mass spectrometry; NSAF; Proteomics.

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