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

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

Authors

Institutions

Publication Details

Journal
Journal of the American Society for Mass Spectrometry
Published
2026-06-09
DOI
https://doi.org/10.1021/jasms.6c00012
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Wenyun Lu, Joshua D. Rabinowitz, X. Li, Anna M. Oschmann et al.
Journal of the American Society for Mass Spectrometry
Bioinformatics and Genomic Networks
article

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

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

Abstract

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

Journal of the American Society for Mass Spectrometry
Institute of Genomics and Integrative Biology (IN), Ludwig Cancer Research (BE), Princeton University (US), Ludwig Cancer Research (US)
Zero hunger
Openalex Percentile: Top 10%
Bioinformatics and Genomic Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.