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Quantitative proteomics of rat and human pancreatic beta cells

Data set description: This data set is composed by label-free alternate-scanning LC-MS/MS proteomics analysis human and Wistar rat pancreatic islet endocrine cells. The mass spectrometry data of the human and rat pancreatic beta cells and the resulting proteome search output from ProteinLynx GlobalS...

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Autores principales: Brackeva, B., Kramer, G., Vissers, J.P.C., Martens, G.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510137/
https://www.ncbi.nlm.nih.gov/pubmed/26217750
http://dx.doi.org/10.1016/j.dib.2015.02.019
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author Brackeva, B.
Kramer, G.
Vissers, J.P.C.
Martens, G.A.
author_facet Brackeva, B.
Kramer, G.
Vissers, J.P.C.
Martens, G.A.
author_sort Brackeva, B.
collection PubMed
description Data set description: This data set is composed by label-free alternate-scanning LC-MS/MS proteomics analysis human and Wistar rat pancreatic islet endocrine cells. The mass spectrometry data of the human and rat pancreatic beta cells and the resulting proteome search output from ProteinLynx GlobalSERVER (PLGS) have been deposited to the ProteomeXchange Consortium [1] via the PRIDE partner repository with the dataset identifiers PXD001539 (human) and PXD001816 (rat). From these mass spectrometry data, ‘relative molar amount units’ between cell types and across species were calculated. Biological relevance: These data provide a quantitative view on the unfractionated proteomes of human and rat beta and alpha cells. It is likely biased towards the proteins with higher molar abundance, relating to core functional pathways, but also includes several proteins with an islet-enriched expression. The quality of the cell preps is state-of-the-art, and the label-free quantitation is both precise and accurate, allowing detailed quantitative analysis.
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spelling pubmed-45101372015-07-27 Quantitative proteomics of rat and human pancreatic beta cells Brackeva, B. Kramer, G. Vissers, J.P.C. Martens, G.A. Data Brief Data Article Data set description: This data set is composed by label-free alternate-scanning LC-MS/MS proteomics analysis human and Wistar rat pancreatic islet endocrine cells. The mass spectrometry data of the human and rat pancreatic beta cells and the resulting proteome search output from ProteinLynx GlobalSERVER (PLGS) have been deposited to the ProteomeXchange Consortium [1] via the PRIDE partner repository with the dataset identifiers PXD001539 (human) and PXD001816 (rat). From these mass spectrometry data, ‘relative molar amount units’ between cell types and across species were calculated. Biological relevance: These data provide a quantitative view on the unfractionated proteomes of human and rat beta and alpha cells. It is likely biased towards the proteins with higher molar abundance, relating to core functional pathways, but also includes several proteins with an islet-enriched expression. The quality of the cell preps is state-of-the-art, and the label-free quantitation is both precise and accurate, allowing detailed quantitative analysis. Elsevier 2015-03-10 /pmc/articles/PMC4510137/ /pubmed/26217750 http://dx.doi.org/10.1016/j.dib.2015.02.019 Text en © 2015 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 Data Article
Brackeva, B.
Kramer, G.
Vissers, J.P.C.
Martens, G.A.
Quantitative proteomics of rat and human pancreatic beta cells
title Quantitative proteomics of rat and human pancreatic beta cells
title_full Quantitative proteomics of rat and human pancreatic beta cells
title_fullStr Quantitative proteomics of rat and human pancreatic beta cells
title_full_unstemmed Quantitative proteomics of rat and human pancreatic beta cells
title_short Quantitative proteomics of rat and human pancreatic beta cells
title_sort quantitative proteomics of rat and human pancreatic beta cells
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510137/
https://www.ncbi.nlm.nih.gov/pubmed/26217750
http://dx.doi.org/10.1016/j.dib.2015.02.019
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