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A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571919/ https://www.ncbi.nlm.nih.gov/pubmed/31121816 http://dx.doi.org/10.3390/metabo9050101 |
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author | Barupal, Dinesh K. Zhang, Ying Shen, Tong Fan, Sili Roberts, Bryan S. Fitzgerald, Patrick Wancewicz, Benjamin Valdiviez, Luis Wohlgemuth, Gert Byram, Gregory Choy, Ying Yng Haffner, Bennett Showalter, Megan R. Vaniya, Arpana Bloszies, Clayton S. Folz, Jacob S. Kind, Tobias Flenniken, Ann M. McKerlie, Colin Nutter, Lauryl M. J. Lloyd, Kent C. Fiehn, Oliver |
author_facet | Barupal, Dinesh K. Zhang, Ying Shen, Tong Fan, Sili Roberts, Bryan S. Fitzgerald, Patrick Wancewicz, Benjamin Valdiviez, Luis Wohlgemuth, Gert Byram, Gregory Choy, Ying Yng Haffner, Bennett Showalter, Megan R. Vaniya, Arpana Bloszies, Clayton S. Folz, Jacob S. Kind, Tobias Flenniken, Ann M. McKerlie, Colin Nutter, Lauryl M. J. Lloyd, Kent C. Fiehn, Oliver |
author_sort | Barupal, Dinesh K. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6571919 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65719192019-06-18 A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium Barupal, Dinesh K. Zhang, Ying Shen, Tong Fan, Sili Roberts, Bryan S. Fitzgerald, Patrick Wancewicz, Benjamin Valdiviez, Luis Wohlgemuth, Gert Byram, Gregory Choy, Ying Yng Haffner, Bennett Showalter, Megan R. Vaniya, Arpana Bloszies, Clayton S. Folz, Jacob S. Kind, Tobias Flenniken, Ann M. McKerlie, Colin Nutter, Lauryl M. J. Lloyd, Kent C. Fiehn, Oliver Metabolites Data Descriptor 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. MDPI 2019-05-22 /pmc/articles/PMC6571919/ /pubmed/31121816 http://dx.doi.org/10.3390/metabo9050101 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Descriptor Barupal, Dinesh K. Zhang, Ying Shen, Tong Fan, Sili Roberts, Bryan S. Fitzgerald, Patrick Wancewicz, Benjamin Valdiviez, Luis Wohlgemuth, Gert Byram, Gregory Choy, Ying Yng Haffner, Bennett Showalter, Megan R. Vaniya, Arpana Bloszies, Clayton S. Folz, Jacob S. Kind, Tobias Flenniken, Ann M. McKerlie, Colin Nutter, Lauryl M. J. Lloyd, Kent C. Fiehn, Oliver A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium |
title | A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium |
title_full | A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium |
title_fullStr | A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium |
title_full_unstemmed | A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium |
title_short | A Comprehensive Plasma Metabolomics Dataset for a Cohort of Mouse Knockouts within the International Mouse Phenotyping Consortium |
title_sort | comprehensive plasma metabolomics dataset for a cohort of mouse knockouts within the international mouse phenotyping consortium |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571919/ https://www.ncbi.nlm.nih.gov/pubmed/31121816 http://dx.doi.org/10.3390/metabo9050101 |
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