Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study

2D-DIGE analysis coupled with mass spectrometry is a global, without a priori, comparative proteomic approach particularly suited to identify and quantify enzymes isoforms and structural proteins, thus making it an efficient tool for the characterization of the changes in cell phenotypes that occur...

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Detalles Bibliográficos
Autores principales: Bentaib, Azeddine, De Tullio, Pascal, Chneiweiss, Hervé, Hermans, Emmanuel, Junier, Marie-Pierre, Leprince, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459766/
https://www.ncbi.nlm.nih.gov/pubmed/26217695
http://dx.doi.org/10.1016/j.dib.2014.09.004
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author Bentaib, Azeddine
De Tullio, Pascal
Chneiweiss, Hervé
Hermans, Emmanuel
Junier, Marie-Pierre
Leprince, Pierre
author_facet Bentaib, Azeddine
De Tullio, Pascal
Chneiweiss, Hervé
Hermans, Emmanuel
Junier, Marie-Pierre
Leprince, Pierre
author_sort Bentaib, Azeddine
collection PubMed
description 2D-DIGE analysis coupled with mass spectrometry is a global, without a priori, comparative proteomic approach particularly suited to identify and quantify enzymes isoforms and structural proteins, thus making it an efficient tool for the characterization of the changes in cell phenotypes that occur in physiological and pathological conditions. In this data article in support of the research article entitled “Metabolic reprogramming in transformed mouse cortical astrocytes: a proteomic study” [1] we illustrate the changes in protein profile that occur during the metabolic reprogramming undergone by cultured mouse astrocytes in a model of in-vitro cancerous transformation [2].
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spelling pubmed-44597662015-07-27 Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study Bentaib, Azeddine De Tullio, Pascal Chneiweiss, Hervé Hermans, Emmanuel Junier, Marie-Pierre Leprince, Pierre Data Brief Data Article 2D-DIGE analysis coupled with mass spectrometry is a global, without a priori, comparative proteomic approach particularly suited to identify and quantify enzymes isoforms and structural proteins, thus making it an efficient tool for the characterization of the changes in cell phenotypes that occur in physiological and pathological conditions. In this data article in support of the research article entitled “Metabolic reprogramming in transformed mouse cortical astrocytes: a proteomic study” [1] we illustrate the changes in protein profile that occur during the metabolic reprogramming undergone by cultured mouse astrocytes in a model of in-vitro cancerous transformation [2]. Elsevier 2014-11-07 /pmc/articles/PMC4459766/ /pubmed/26217695 http://dx.doi.org/10.1016/j.dib.2014.09.004 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Data Article
Bentaib, Azeddine
De Tullio, Pascal
Chneiweiss, Hervé
Hermans, Emmanuel
Junier, Marie-Pierre
Leprince, Pierre
Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study
title Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study
title_full Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study
title_fullStr Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study
title_full_unstemmed Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study
title_short Data in support of metabolic reprogramming in transformed mouse cortical astrocytes: A proteomic study
title_sort data in support of metabolic reprogramming in transformed mouse cortical astrocytes: a proteomic study
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4459766/
https://www.ncbi.nlm.nih.gov/pubmed/26217695
http://dx.doi.org/10.1016/j.dib.2014.09.004
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