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Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes
We provide detailed datasets from our analysis of proteins that are identified in human liver, lung, kidney and intestine microsomes by MS-based proteomics. Also included is a set of CYP450 enzymes and microsomal glutathione-S-transferase (MGSTs) activities in human liver microsomes. The data presen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996730/ https://www.ncbi.nlm.nih.gov/pubmed/29900246 http://dx.doi.org/10.1016/j.dib.2018.03.124 |
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author | Song, Wei Yu, Longjiang Peng, Zhihong |
author_facet | Song, Wei Yu, Longjiang Peng, Zhihong |
author_sort | Song, Wei |
collection | PubMed |
description | We provide detailed datasets from our analysis of proteins that are identified in human liver, lung, kidney and intestine microsomes by MS-based proteomics. Also included is a set of CYP450 enzymes and microsomal glutathione-S-transferase (MGSTs) activities in human liver microsomes. The data presented in this paper support the research article “Targeted label-free approach for quantification of epoxide hydrolase and glutathione transferases in microsomes” (Song et al., 2015) [1]. We expect that the data will contribute to the study of metabolism enzymes. |
format | Online Article Text |
id | pubmed-5996730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59967302018-06-13 Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes Song, Wei Yu, Longjiang Peng, Zhihong Data Brief Proteomics and Biochemistry We provide detailed datasets from our analysis of proteins that are identified in human liver, lung, kidney and intestine microsomes by MS-based proteomics. Also included is a set of CYP450 enzymes and microsomal glutathione-S-transferase (MGSTs) activities in human liver microsomes. The data presented in this paper support the research article “Targeted label-free approach for quantification of epoxide hydrolase and glutathione transferases in microsomes” (Song et al., 2015) [1]. We expect that the data will contribute to the study of metabolism enzymes. Elsevier 2018-03-30 /pmc/articles/PMC5996730/ /pubmed/29900246 http://dx.doi.org/10.1016/j.dib.2018.03.124 Text en © 2018 The Authors. Published by Elsevier Inc. 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 | Proteomics and Biochemistry Song, Wei Yu, Longjiang Peng, Zhihong Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
title | Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
title_full | Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
title_fullStr | Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
title_full_unstemmed | Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
title_short | Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
title_sort | dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes |
topic | Proteomics and Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996730/ https://www.ncbi.nlm.nih.gov/pubmed/29900246 http://dx.doi.org/10.1016/j.dib.2018.03.124 |
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