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Data from quantitative label free proteomics analysis of rat spleen

The dataset presented in this work has been obtained using a label-free quantitative proteomic analysis of rat spleen. A robust method for extraction of proteins from rat spleen tissue and LC-MS-MS analysis was developed using a urea and SDS-based buffer. Different fractionation methods were compare...

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Autores principales: Dudekula, Khadar, Le Bihan, Thierry
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915949/
https://www.ncbi.nlm.nih.gov/pubmed/27358910
http://dx.doi.org/10.1016/j.dib.2016.05.058
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author Dudekula, Khadar
Le Bihan, Thierry
author_facet Dudekula, Khadar
Le Bihan, Thierry
author_sort Dudekula, Khadar
collection PubMed
description The dataset presented in this work has been obtained using a label-free quantitative proteomic analysis of rat spleen. A robust method for extraction of proteins from rat spleen tissue and LC-MS-MS analysis was developed using a urea and SDS-based buffer. Different fractionation methods were compared. A total of 3484 different proteins were identified from the pool of all experiments run in this study (a total of 2460 proteins with at least two peptides). A total of 1822 proteins were identified from nine non-fractionated pulse gels, 2288 proteins and 2864 proteins were identified by SDS-PAGE fractionation into three and five fractions respectively. The proteomics data are deposited in ProteomeXchange Consortium via PRIDE PXD003520, Progenesis and Maxquant output are presented in the supported information. The generated list of proteins under different regimes of fractionation allow assessing the nature of the identified proteins; variability in the quantitative analysis associated with the different sampling strategy and allow defining a proper number of replicates for future quantitative analysis.
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spelling pubmed-49159492016-06-29 Data from quantitative label free proteomics analysis of rat spleen Dudekula, Khadar Le Bihan, Thierry Data Brief Data Article The dataset presented in this work has been obtained using a label-free quantitative proteomic analysis of rat spleen. A robust method for extraction of proteins from rat spleen tissue and LC-MS-MS analysis was developed using a urea and SDS-based buffer. Different fractionation methods were compared. A total of 3484 different proteins were identified from the pool of all experiments run in this study (a total of 2460 proteins with at least two peptides). A total of 1822 proteins were identified from nine non-fractionated pulse gels, 2288 proteins and 2864 proteins were identified by SDS-PAGE fractionation into three and five fractions respectively. The proteomics data are deposited in ProteomeXchange Consortium via PRIDE PXD003520, Progenesis and Maxquant output are presented in the supported information. The generated list of proteins under different regimes of fractionation allow assessing the nature of the identified proteins; variability in the quantitative analysis associated with the different sampling strategy and allow defining a proper number of replicates for future quantitative analysis. Elsevier 2016-06-04 /pmc/articles/PMC4915949/ /pubmed/27358910 http://dx.doi.org/10.1016/j.dib.2016.05.058 Text en © 2016 The Authors 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 Data Article
Dudekula, Khadar
Le Bihan, Thierry
Data from quantitative label free proteomics analysis of rat spleen
title Data from quantitative label free proteomics analysis of rat spleen
title_full Data from quantitative label free proteomics analysis of rat spleen
title_fullStr Data from quantitative label free proteomics analysis of rat spleen
title_full_unstemmed Data from quantitative label free proteomics analysis of rat spleen
title_short Data from quantitative label free proteomics analysis of rat spleen
title_sort data from quantitative label free proteomics analysis of rat spleen
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915949/
https://www.ncbi.nlm.nih.gov/pubmed/27358910
http://dx.doi.org/10.1016/j.dib.2016.05.058
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