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June 9, 2026Journal of the American Society for Mass SpectrometryOpen Access

Leveraging 13C-Labeling to Assign Molecular Formulas to Unknown Yeast Metabolites

Xi Xing Wenyun Lu X. Li Jimmy S. Pratas Anna M. Oschmann Joshua D. Rabinowitz

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Key Points

This research aims to utilize 13C-labeling data to identify and assign molecular formulas to unknown metabolites in yeast.
Employed 13C-labeling techniques to collect data on metabolites.
Analyzed the metabolites from nonmodel yeast species for identification.
Mapped the discovered metabolites to potential biochemical pathways.
Identified several previously unknown metabolites using 13C-labeling.
Established molecular formulas for these metabolites enhancing understanding of metabolic pathways.
Demonstrated the viability of using nonmodel yeasts to discover new biochemical entities.

Implication

Highlights the potential for discovering new metabolites in nonmodel yeasts, suggesting novel pathways.

Abstract

C-labeling data on unknown metabolites highlights the potential for discovering new metabolites and pathways in nonmodel yeasts.

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Cite This Study

Xing et al. (2026) studied this question.

synapsesocial.com/papers/6a2a517c80c8f91e7f39dcdc https://doi.org/10.1021/jasms.6c00012

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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