Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk
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...
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Elsevier
2020-06-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092030559X |
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author | Salvatore Pisanu Carla Cacciotto Daniela Pagnozzi Sergio Uzzau Claudia Pollera Martina Penati Valerio Bronzo Maria Filippa Addis |
author_facet | Salvatore Pisanu Carla Cacciotto Daniela Pagnozzi Sergio Uzzau Claudia Pollera Martina Penati Valerio Bronzo Maria Filippa Addis |
author_sort | Salvatore Pisanu |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-21T14:49:11Z |
format | Article |
id | doaj.art-360668798be840e5abb6a486ba3738bc |
institution | Directory Open Access Journal |
issn | 2352-3409 |
language | English |
last_indexed | 2024-12-21T14:49:11Z |
publishDate | 2020-06-01 |
publisher | Elsevier |
record_format | Article |
series | Data in Brief |
spelling | doaj.art-360668798be840e5abb6a486ba3738bc2022-12-21T18:59:56ZengElsevierData in Brief2352-34092020-06-0130105665Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milkSalvatore Pisanu0Carla Cacciotto1Daniela Pagnozzi2Sergio Uzzau3Claudia Pollera4Martina Penati5Valerio Bronzo6Maria Filippa Addis7Porto Conte Ricerche, Alghero, ItalyPorto Conte Ricerche, Alghero, ItalyPorto Conte Ricerche, Alghero, ItalyPorto Conte Ricerche, Alghero, Italy; Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy; Mediterranean Center for Disease Control, Sassari, ItalyDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Milan, ItalyDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Milan, ItalyDipartimento di Medicina Veterinaria, Università degli Studi di Milano, Milan, ItalyPorto Conte Ricerche, Alghero, Italy; Mediterranean Center for Disease Control, Sassari, Italy; Dipartimento di Medicina Veterinaria, Università degli Studi di Milano, Milan, Italy; Corresponding author: Maria Filippa Addis, Department of Veterinary Medicine, University of Milan, Via dell'Università 6, 26900 Lodi (LO). Tel. ++39 02 503 34515We 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.http://www.sciencedirect.com/science/article/pii/S235234092030559XGoat milkProteomicsFASPMass spectrometryNSAF |
spellingShingle | Salvatore Pisanu Carla Cacciotto Daniela Pagnozzi Sergio Uzzau Claudia Pollera Martina Penati Valerio Bronzo Maria Filippa Addis Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk Data in Brief Goat milk Proteomics FASP Mass spectrometry NSAF |
title | Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk |
title_full | Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk |
title_fullStr | Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk |
title_full_unstemmed | Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk |
title_short | Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk |
title_sort | proteomic datasets of uninfected and staphylococcus aureus infected goat milk |
topic | Goat milk Proteomics FASP Mass spectrometry NSAF |
url | http://www.sciencedirect.com/science/article/pii/S235234092030559X |
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