Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine
The data in this article are related to the research entitled, “Assessment of 1H NMR-based metabolomics analysis for normalization of urinary metals against creatinine” (M. Cassiède, S. Nair, M. Dueck, J. Mino, R. McKay, P. Mercier, B. Quémerais, P. Lacy, 2016) [1]. This article describes the analys...
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doaj-a160cac2407f44e784bf8804794e46d62020-11-25T02:56:05ZengElsevierData in Brief2352-34092017-02-0110C22722910.1016/j.dib.2016.11.101Dataset of urinary metabolites measured by 1H NMR analysis of normal human urineMarc Cassiède0Sindhu Nair1Meghan Dueck2James Mino3Ryan McKay4Pascal Mercier5Bernadette Quémerais6Paige Lacy7Pulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, AB, CanadaThe data in this article are related to the research entitled, “Assessment of 1H NMR-based metabolomics analysis for normalization of urinary metals against creatinine” (M. Cassiède, S. Nair, M. Dueck, J. Mino, R. McKay, P. Mercier, B. Quémerais, P. Lacy, 2016) [1]. This article describes the analysis of urinary metabolites in normal, healthy individuals by 1H NMR-based metabolomics. NMR spectra of urine samples typically contain hundreds of peaks that must be carefully screened for reproducibility and detectability. An important requirement in the screening of appropriate urinary metabolites is to ensure that they are reproducibly detected. In our study, we applied the peak profiles of 151 known urinary metabolites to 10 normal human urine samples and found that 50 metabolites were reproducibly measured between 600 and 700 MHz magnets in the same samples. The data set has been made publicly available to enable critical or extended analysis.http://www.sciencedirect.com/science/article/pii/S2352340916307612MetabolomicsValidationNuclear magnetic resonance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marc Cassiède Sindhu Nair Meghan Dueck James Mino Ryan McKay Pascal Mercier Bernadette Quémerais Paige Lacy |
spellingShingle |
Marc Cassiède Sindhu Nair Meghan Dueck James Mino Ryan McKay Pascal Mercier Bernadette Quémerais Paige Lacy Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine Data in Brief Metabolomics Validation Nuclear magnetic resonance |
author_facet |
Marc Cassiède Sindhu Nair Meghan Dueck James Mino Ryan McKay Pascal Mercier Bernadette Quémerais Paige Lacy |
author_sort |
Marc Cassiède |
title |
Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine |
title_short |
Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine |
title_full |
Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine |
title_fullStr |
Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine |
title_full_unstemmed |
Dataset of urinary metabolites measured by 1H NMR analysis of normal human urine |
title_sort |
dataset of urinary metabolites measured by 1h nmr analysis of normal human urine |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2017-02-01 |
description |
The data in this article are related to the research entitled, “Assessment of 1H NMR-based metabolomics analysis for normalization of urinary metals against creatinine” (M. Cassiède, S. Nair, M. Dueck, J. Mino, R. McKay, P. Mercier, B. Quémerais, P. Lacy, 2016) [1]. This article describes the analysis of urinary metabolites in normal, healthy individuals by 1H NMR-based metabolomics. NMR spectra of urine samples typically contain hundreds of peaks that must be carefully screened for reproducibility and detectability. An important requirement in the screening of appropriate urinary metabolites is to ensure that they are reproducibly detected. In our study, we applied the peak profiles of 151 known urinary metabolites to 10 normal human urine samples and found that 50 metabolites were reproducibly measured between 600 and 700 MHz magnets in the same samples. The data set has been made publicly available to enable critical or extended analysis. |
topic |
Metabolomics Validation Nuclear magnetic resonance |
url |
http://www.sciencedirect.com/science/article/pii/S2352340916307612 |
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