Dataset from proteomic analysis of human liver, lung, kidney and intestine microsomes

被引：1
|
作者：
Song, Wei [1 ,2 ]
Yu, Longjiang [3 ]
Peng, Zhihong [1 ,2 ]
机构：
[1] Hubei Univ, Hubei Prov Key Lab Biotechnol Chinese Tradit Med, Wuhan 430062, Hubei, Peoples R China
[2] Hubei Univ, Dept Life Sci, Wuhan 430062, Hubei, Peoples R China
[3] Huazhong Univ Sci & Technol, Inst Resource Biol & Biotechnol, Dept Biotechnol, Coll Life Sci & Technol, Wuhan 430074, Hubei, Peoples R China
来源：
DATA IN BRIEF | 2018年 / 18卷
关键词：
D O I：
10.1016/j.dib.2018.03.124
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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. (C) 2018 The Authors. Published by Elsevier Inc.
引用
收藏
页码：831 / 834
页数：4
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