Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics.

ABSTRACT: Reference standardization was developed to address quantification and harmonization challenges for high-resolution metabolomics (HRM) data collected across different studies or analytical methods. Reference standardization relies on the concurrent analysis of calibrated pooled reference samples at predefined intervals and enables a single-step batch correction and quantification for high-throughput metabolomics. Here, we provide quantitative measures of approximately 200 metabolites for each of three pooled reference materials (220 metabolites for Qstd3, 211 metabolites for CHEAR, 204 metabolites for NIST1950) and show application of this approach for quantification supports harmonization of metabolomics data collected from 3677 human samples in 17 separate studies analyzed by two compleme

SUBMITTER: Liu KH 

PROVIDER: S-EPMC7887762 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature