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Updated: Feb 1, 2026

Exploring Mitochondrial Energy Metabolism of Single 3D Microtissue Spheroids Using Extracellular Flux Analysis
Published on: February 3, 2022
Metabolic flux analysis in biotechnology processes
Shintaro Iwatani1, Yohei Yamada, Yoshihiro Usuda
1Fermentation and Biotechnology Laboratories, Ajinomoto Co., Inc, Kawasaki-shi, Kanagawa, 210-8681, Japan. shintaro_iwatani@ajinomoto.com
Metabolic flux analysis (MFA) uses advanced analytical tools to track (13)C labeling in cells. This method helps estimate metabolic fluxes, improving biotechnological production processes and strain performance.
Area of Science:
- Biotechnology
- Metabolic Engineering
- Systems Biology
Background:
- Metabolic flux analysis (MFA) is crucial for understanding cellular metabolism in metabolic engineering.
- Recent advancements in analytical instruments enhance the accuracy and sensitivity of measuring (13)C labeling distribution.
- Isotopic instationary analysis provides kinetic information for faster and more efficient metabolic flux calculations.
Purpose of the Study:
- To highlight the significance of (13)C MFA in metabolic engineering.
- To discuss recent technical advancements in MFA.
- To emphasize the potential of (13)C MFA for improving strain performance and production.
Main Methods:
- Utilizing advanced analytical instruments for high-accuracy (13)C labeling distribution determination.
- Employing isotopic instationary analysis to gather kinetic labeling data.
- Calculating metabolic fluxes based on intracellular metabolite labeling patterns.
Main Results:
- High accuracy and sensitivity in determining (13)C labeling distribution of intracellular metabolites.
- Shortened experimental times and reduced labeled substrate requirements for flux calculations.
- Demonstration of (13)C MFA as a powerful tool for metabolic engineering.
Conclusions:
- Metabolic flux analysis, particularly using (13)C labeling, is a key technology in metabolic engineering.
- Technical progress enables more precise and efficient metabolic flux estimation.
- (13)C MFA shows significant promise for optimizing cell performance and biotechnological production.
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