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Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions

Rat, mouse and human liver microsomes and S9 fractions were analyzed using an optimized method combining ion exchange fractionation of digested peptides, and ultra-high performance liquid chromatography (UHPLC) coupled to high resolution tandem mass spectrometry (HR-MS/MS). The mass spectrometry pro...

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Detalles Bibliográficos
Autores principales: Golizeh, Makan, Schneider, Christina, Ohlund, Leanne B., Sleno, Lekha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510096/
https://www.ncbi.nlm.nih.gov/pubmed/26217725
http://dx.doi.org/10.1016/j.dib.2015.02.007
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author Golizeh, Makan
Schneider, Christina
Ohlund, Leanne B.
Sleno, Lekha
author_facet Golizeh, Makan
Schneider, Christina
Ohlund, Leanne B.
Sleno, Lekha
author_sort Golizeh, Makan
collection PubMed
description Rat, mouse and human liver microsomes and S9 fractions were analyzed using an optimized method combining ion exchange fractionation of digested peptides, and ultra-high performance liquid chromatography (UHPLC) coupled to high resolution tandem mass spectrometry (HR-MS/MS). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository (Vizcaíno et al., 2013 [1]) with the dataset identifiers PXD000717, PXD000720, PXD000721, PXD000731, PXD000733 and PXD000734. Data related to the peptides (trypsin digests only) were also uploaded to Peptide Atlas (Farrah et al., 2013 [2]) and are available with the dataset identifiers PASS00407, PASS00409, PASS00411, PASS00412, PASS00413 and PASS00414. The present dataset is associated with a research article published in EuPA Open Proteomics [3].
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spelling pubmed-45100962015-07-27 Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions Golizeh, Makan Schneider, Christina Ohlund, Leanne B. Sleno, Lekha Data Brief Data Article Rat, mouse and human liver microsomes and S9 fractions were analyzed using an optimized method combining ion exchange fractionation of digested peptides, and ultra-high performance liquid chromatography (UHPLC) coupled to high resolution tandem mass spectrometry (HR-MS/MS). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository (Vizcaíno et al., 2013 [1]) with the dataset identifiers PXD000717, PXD000720, PXD000721, PXD000731, PXD000733 and PXD000734. Data related to the peptides (trypsin digests only) were also uploaded to Peptide Atlas (Farrah et al., 2013 [2]) and are available with the dataset identifiers PASS00407, PASS00409, PASS00411, PASS00412, PASS00413 and PASS00414. The present dataset is associated with a research article published in EuPA Open Proteomics [3]. Elsevier 2015-02-24 /pmc/articles/PMC4510096/ /pubmed/26217725 http://dx.doi.org/10.1016/j.dib.2015.02.007 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
Golizeh, Makan
Schneider, Christina
Ohlund, Leanne B.
Sleno, Lekha
Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions
title Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions
title_full Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions
title_fullStr Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions
title_full_unstemmed Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions
title_short Dataset from proteomic analysis of rat, mouse, and human liver microsomes and S9 fractions
title_sort dataset from proteomic analysis of rat, mouse, and human liver microsomes and s9 fractions
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4510096/
https://www.ncbi.nlm.nih.gov/pubmed/26217725
http://dx.doi.org/10.1016/j.dib.2015.02.007
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