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Stable 13C-glutamine Tracing Resolved Metabolomics for Cancer Metabolism Study
Yaogang Zhong1,2, Liqing He3, Xinmin Yin3
1Center for Cancer Metabolism, James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Bio-Protocol
|May 28, 2025
Summary
This study details a method using 13C-glutamine tracing and mass spectrometry to analyze metabolic pathways in glioblastoma cells. The technique identifies specific lipids and reveals metabolic changes after lysosome inhibition.
Area of Science:
- Cellular Metabolism
- Cancer Biology
- Analytical Chemistry
Background:
- Glutamine is a key nutrient in human blood, vital for nucleotide, lipid, and amino acid synthesis, and energy production.
- Studying glutamine metabolism, particularly lipid synthesis via reductive carboxylation, requires precise analytical methods.
- Glioblastoma (GBM) cells exhibit altered metabolic pathways crucial for their growth and survival.
Purpose of the Study:
- To present a detailed protocol for investigating glutamine metabolism in human glioblastoma (GBM) cells using stable isotope tracing.
- To enable the identification and quantification of polar metabolites and long-chain fatty acids (LCFAs) derived from 13C-glutamine.
- To distinguish between specific fatty acid isomers with identical masses and explore metabolic alterations in GBM cells.
Main Methods:
- Stable isotope tracing with 13C-glutamine in human glioblastoma cells.
- Untargeted metabolomics analysis using liquid chromatography-mass spectrometry (LC-MS/MS).
- Step-by-step protocol for metabolite extraction, detection, and isomer differentiation.
Main Results:
- The protocol successfully traces 13C-glutamine flux and identifies derived polar metabolites and LCFAs in GBM cells.
- The method distinguishes between palmitoleic acid (cis-9-hexadecenoic acid) and palmitelaidic acid (trans-9-hexadecenoic acid) isomers.
- Previously unknown metabolic alterations in GBM cells were identified following lysosome inhibition by pimozide.
Conclusions:
- This protocol provides a robust method for analyzing glutamine metabolism and its lipid derivatives in cancer cells.
- The technique is valuable for distinguishing between fatty acid isomers and understanding metabolic reprogramming.
- The findings offer insights into GBM cell metabolism and potential therapeutic targets, especially concerning lysosome function.

