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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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Autores principales: Pisanu, Salvatore, Cacciotto, Carla, Pagnozzi, Daniela, Uzzau, Sergio, Pollera, Claudia, Penati, Martina, Bronzo, Valerio, Addis, Maria Filippa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225386/
https://www.ncbi.nlm.nih.gov/pubmed/32426435
http://dx.doi.org/10.1016/j.dib.2020.105665
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author Pisanu, Salvatore
Cacciotto, Carla
Pagnozzi, Daniela
Uzzau, Sergio
Pollera, Claudia
Penati, Martina
Bronzo, Valerio
Addis, Maria Filippa
author_facet Pisanu, Salvatore
Cacciotto, Carla
Pagnozzi, Daniela
Uzzau, Sergio
Pollera, Claudia
Penati, Martina
Bronzo, Valerio
Addis, Maria Filippa
author_sort Pisanu, Salvatore
collection PubMed
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.
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spelling pubmed-72253862020-05-18 Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk Pisanu, Salvatore Cacciotto, Carla Pagnozzi, Daniela Uzzau, Sergio Pollera, Claudia Penati, Martina Bronzo, Valerio Addis, Maria Filippa Data Brief Proteomics 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. Elsevier 2020-05-06 /pmc/articles/PMC7225386/ /pubmed/32426435 http://dx.doi.org/10.1016/j.dib.2020.105665 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Proteomics
Pisanu, Salvatore
Cacciotto, Carla
Pagnozzi, Daniela
Uzzau, Sergio
Pollera, Claudia
Penati, Martina
Bronzo, Valerio
Addis, Maria Filippa
Proteomic datasets of uninfected and Staphylococcus aureus-infected goat milk
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 Proteomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225386/
https://www.ncbi.nlm.nih.gov/pubmed/32426435
http://dx.doi.org/10.1016/j.dib.2020.105665
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