MetabolitesBioinformaticsPeer-reviewed journal article
A comprehensive plasma metabolomics dataset for a cohort of mouse knockouts within the international mouse phenotyping consortium
Dinesh Kumar BarupaliD, Ying ZhangiD, Tong SheniD, Sili FaniD, Bryan S. Roberts, Patrick Fitzgerald, Benjamin WancewicziD, Luis Valdiviez, Gert Wohlgemuth, Gregory Byram, Ying Yng ChoyiD, Bennett D Haffner, Megan Reed ShowalteriD, Arpana Vaniya, Clayton S. Bloszies, Jacob S. FolziD, Tobias KindiD, Ann Marie FlennikeniD, Colin McKerlieiD, Lauryl M. J. NutteriD, K. C. Kent LloydiD, Oliver FiehniD
Abstract
Mouse knockouts allow studying gene functions. Often, multiple phenotypes are impacted when a gene is inactivated. The International Mouse Phenotyping Consortium (IPMC) has generated thousands of mouse knockouts and catalogued their phenotype data. We have acquired metabolomics data from 220 plasma samples of 30 mouse gene knockouts and corresponding wildtype mice from 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.\n\nData SetThe dataset is available at the MetabolomicsWorkbench repository (accession ID: ST001154)\n\nData Set Licenselicense under which the data set is made available (CC0).
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- 56
- FWCI
- 2.23
- Field percentile
- top 11%
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