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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7225386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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