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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Main Authors: Marc Cassiède, Sindhu Nair, Meghan Dueck, James Mino, Ryan McKay, Pascal Mercier, Bernadette Quémerais, Paige Lacy
Format: Article
Language:English
Published: Elsevier 2017-02-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340916307612
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spelling 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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