| Literature DB >> 27995159 |
Marc Cassiède1, Sindhu Nair1, Meghan Dueck1, James Mino1, Ryan McKay1, Pascal Mercier1, Bernadette Quémerais1, Paige Lacy1.
Abstract
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.Entities:
Keywords: Metabolomics; Nuclear magnetic resonance; Validation
Year: 2016 PMID: 27995159 PMCID: PMC5155042 DOI: 10.1016/j.dib.2016.11.101
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
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