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Publication
A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts
within the International Mouse Phenotyping Consortium.
Authors Barupal DK, Zhang Y, Shen T, Fan S, Roberts BS, Fitzgerald P, Wancewicz B,
Valdiviez L, Wohlgemuth G, Byram G, Choy YY, Haffner B, Showalter MR, Vaniya A,
Bloszies CS, Folz JS, Kind T, Flenniken AM, McKerlie C, Nutter LMJ, Lloyd KC,
Fiehn O
Submitted By Submitted Externally on 4/30/2020
Status Published
Journal Metabolites
Year 2019
Date Published 5/1/2019
Volume : Pages 9 : Not Specified
PubMed Reference 31121816
Abstract Mouse knockouts facilitate the study ofgene functions. Often, multiple abnormal
phenotypes are induced when a gene is inactivated. The International Mouse
Phenotyping Consortium (IMPC) has generated thousands of mouse knockouts and
catalogued their phenotype data. We have acquired metabolomics data from 220
plasma samples from 30 unique mouse gene knockouts and corresponding wildtype
mice from the IMPC. To acquire comprehensive metabolomics data, we have used
liquid chromatography (LC) combined with mass spectrometry (MS) for detecting
polar and lipophilic compounds in an untargeted approach. We have also used
targeted methods to measure bile acids, steroids and oxylipins. In addition, we
have used gas chromatography GC-TOFMS for measuring primary metabolites. The
metabolomics dataset reports 832 unique structurally identified metabolites from
124 chemical classes as determined by ChemRICH software. The GCMS and LCMS raw
data files, intermediate and finalized data matrices, R-Scripts, annotation
databases, and extracted ion chromatograms are provided in this data descriptor.
The dataset can be used for subsequent studies to link genetic variants with
molecular mechanisms and phenotypes.




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