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Spleen proteomics data from high fat diet fed mice
The composition of the diet affects many processes in the body, including body weight and endocrine system. We have previously shown that dietary fat also affects the immune system. Mice fed high fat diet rich in polyunsaturated fatty acids survive S. aureus infection to a much greater extent than m...
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/PMC7451803/ https://www.ncbi.nlm.nih.gov/pubmed/32904176 http://dx.doi.org/10.1016/j.dib.2020.106110 |
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author | Svahn, Sara L Pattanaik, Bagmi Grahnemo, Louise Gutierrez, Saray Nookaew, Intawat Jansson, John-Olov Johansson, Maria E. |
author_facet | Svahn, Sara L Pattanaik, Bagmi Grahnemo, Louise Gutierrez, Saray Nookaew, Intawat Jansson, John-Olov Johansson, Maria E. |
author_sort | Svahn, Sara L |
collection | PubMed |
description | The composition of the diet affects many processes in the body, including body weight and endocrine system. We have previously shown that dietary fat also affects the immune system. Mice fed high fat diet rich in polyunsaturated fatty acids survive S. aureus infection to a much greater extent than mice fed high fat diet rich in saturated fatty acids. Here we present data regarding the dietary effects on protein expression in spleen from mice fed three different diets, I) low fat/chow diet (LFD, n = 4), II) high fat diet rich in saturated fatty acids (HFD-S, n = 4) and III) high fat diet rich in polyunsaturated fatty acids (HFD-P, n = 4). We performed mass spectrophotometry based quantitative proteomics analysis of isolated spleen by implementing the isobaric tags for relative and absolute quantification (iTRAQ) approach. Mass spectrometry data were analyzed using Proteome Discoverer 2.4 software using the search engine mascot against Mus musculus in SwissProt. 924 proteins are identified in all sets (n = 4) for different dietary effects taken for statistical analysis using Qlucore Omics Explorer software. Only 20 proteins were found to be differentially expressed with a cut-off value of false discovery rate < 0.1 (q-value) when comparing HFD-S and HFD-P but no differentially expressed proteins were found when LFD was compared with HFD-P or HFD-S. The identified proteins and statistical analysis comparing HFD-S and HFD-P diets are available as a supplementary file S1. We identified a subset of proteins that showed an inverse expression pattern between two high fat diets. These differentially expressed proteins were further classified by gene ontology for their role in biological processes and molecular functions. Mass spectrometry raw data are also available via ProteomeXchange with identifier PXD020365. |
format | Online Article Text |
id | pubmed-7451803 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74518032020-09-03 Spleen proteomics data from high fat diet fed mice Svahn, Sara L Pattanaik, Bagmi Grahnemo, Louise Gutierrez, Saray Nookaew, Intawat Jansson, John-Olov Johansson, Maria E. Data Brief Medicine and Dentistry The composition of the diet affects many processes in the body, including body weight and endocrine system. We have previously shown that dietary fat also affects the immune system. Mice fed high fat diet rich in polyunsaturated fatty acids survive S. aureus infection to a much greater extent than mice fed high fat diet rich in saturated fatty acids. Here we present data regarding the dietary effects on protein expression in spleen from mice fed three different diets, I) low fat/chow diet (LFD, n = 4), II) high fat diet rich in saturated fatty acids (HFD-S, n = 4) and III) high fat diet rich in polyunsaturated fatty acids (HFD-P, n = 4). We performed mass spectrophotometry based quantitative proteomics analysis of isolated spleen by implementing the isobaric tags for relative and absolute quantification (iTRAQ) approach. Mass spectrometry data were analyzed using Proteome Discoverer 2.4 software using the search engine mascot against Mus musculus in SwissProt. 924 proteins are identified in all sets (n = 4) for different dietary effects taken for statistical analysis using Qlucore Omics Explorer software. Only 20 proteins were found to be differentially expressed with a cut-off value of false discovery rate < 0.1 (q-value) when comparing HFD-S and HFD-P but no differentially expressed proteins were found when LFD was compared with HFD-P or HFD-S. The identified proteins and statistical analysis comparing HFD-S and HFD-P diets are available as a supplementary file S1. We identified a subset of proteins that showed an inverse expression pattern between two high fat diets. These differentially expressed proteins were further classified by gene ontology for their role in biological processes and molecular functions. Mass spectrometry raw data are also available via ProteomeXchange with identifier PXD020365. Elsevier 2020-08-01 /pmc/articles/PMC7451803/ /pubmed/32904176 http://dx.doi.org/10.1016/j.dib.2020.106110 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Medicine and Dentistry Svahn, Sara L Pattanaik, Bagmi Grahnemo, Louise Gutierrez, Saray Nookaew, Intawat Jansson, John-Olov Johansson, Maria E. Spleen proteomics data from high fat diet fed mice |
title | Spleen proteomics data from high fat diet fed mice |
title_full | Spleen proteomics data from high fat diet fed mice |
title_fullStr | Spleen proteomics data from high fat diet fed mice |
title_full_unstemmed | Spleen proteomics data from high fat diet fed mice |
title_short | Spleen proteomics data from high fat diet fed mice |
title_sort | spleen proteomics data from high fat diet fed mice |
topic | Medicine and Dentistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7451803/ https://www.ncbi.nlm.nih.gov/pubmed/32904176 http://dx.doi.org/10.1016/j.dib.2020.106110 |
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