Enhancing Untargeted Metabolomics Using Metadata-Based Source Annotation

Nature biotechnology(2022)

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摘要
Human untargeted metabolomics studies annotate only ~10% of molecular features. We introduce reference-data-driven analysis to match metabolomics tandem mass spectrometry (MS/MS) data against metadata-annotated source data as a pseudo-MS/MS reference library. Applying this approach to food source data, we show that it increases MS/MS spectral usage 5.1-fold over conventional structural MS/MS library matches and allows empirical assessment of dietary patterns from untargeted data.
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关键词
Data processing,Databases,Mass spectrometry,Metabolomics,Life Sciences,general,Biotechnology,Biomedicine,Agriculture,Biomedical Engineering/Biotechnology,Bioinformatics
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