Metabolite identification in non-targeted mass spectrometry-based metabolomics remains a major challenge due to limited spectral library coverage and difficulties in predicting metabolite fragmentation patterns. Here, we introduce Multiplexed Chemical Metabolomics (MCheM), which employs orthogonal post-column derivatization reactions integrated into a unified mass spectrometry data framework. MCheM generates orthogonal structural information that substantially improves metabolite annotation through in silico spectrum matching and open-modification searches, offering a powerful new toolbox for the structure elucidation of unknown metabolites at scale.
Enhancing tandem mass spectrometry-based metabolite annotation with online chemical labeling.
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作者:Vitale Giovanni Andrea, Xia Shu-Ning, Dührkop Kai, Zare Shahneh Mohammad Reza, Brötz-Oesterhelt Heike, Mast Yvonne, Brungs Corinna, Böcker Sebastian, Schmid Robin, Wang Mingxun, Hughes Chambers C, Petras Daniel
| 期刊: | Nature Communications | 影响因子: | 15.700 |
| 时间: | 2025 | 起止号: | 2025 Jul 26; 16(1):6911 |
| doi: | 10.1038/s41467-025-61240-z | ||
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