Abstract
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.
Highlights
We provide detailed datasets from our analysis of proteins that are identified in human liver, lung, kidney and intestine microsomes by MS-based proteomics
Biology Proteomics, biology Text file, Table UPLC was used for enzyme activities assay, Nano-LC-MS/MS identification of proteins
A) The difference of liver enzyme activities related age or gender. b) The different metabolism enzymes identified in human liver, lung, kidney and intestine microsomes
Summary
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. 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.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
