Advanced stoichiometric analysis of metabolic networks of mammalian systems
Open accessAbstract
Metabolic engineering tools have been widely applied to living organisms to gain a comprehensive understanding about cellular networks and to improve cellular properties. Metabolic flux analysis (MFA), flux balance analysis (FBA), and metabolic pathway analysis (MPA) are among the most popular tools in stoichiometric network analysis. Although application of these tools into well-known microbial systems is extensive in the literature, various barriers prevent them from being utilized in mammalian cells. Limited experimental data, complex regulatory mechanisms, and the requirement of more complex nutrient media are some major obstacles in mammalian cell systems. However, mammalian cells have been used to produce therapeutic proteins, to characterize disease states or related abnormal metabolic conditions, and to analyze the toxicological effects of some medicinally important drugs. Therefore, there is a growing need for extending metabolic engineering principles to mammalian cells in order to understand their underlying metabolic functions. In this review article, advanced metabolic engineering tools developed for stoichiometric analysis including MFA, FBA, and MPA are described. Applications of these tools in mammalian cells are discussed in detail, and the challenges and opportunities are highlighted.
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Metabolic flux analysis, flux balance analysis, and metabolic pathway analysis are among the most popular tools in stoichiometric network analysis and are used extensively to study (cancer) metabolism.
“Metabolic flux analysis, flux balance analysis, and metabolic pathway analysis are among the most popular tools in stoichiometric network analysis and are used extensively to study (cancer) metabolism (284, 285).”
From Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease (2018) · cites this paper as [284]
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- Authors
- Orman, M. A., Berthiaume, F., Androulakis, I. P., & Ierapetritou, M. G.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Venue
- Critical Reviews™ in Biomedical Engineering
- Publisher
- Begell House
- Published
- 2011
- Volume
- 39
- Issue
- 6
- Pages
- 511-534
- ISSN
- 0278-940X (ISSN-L)
- PMC
- PMC3634616
- OpenAlex
- W2025083491
- Cited by
- 32
- References
- 151
- Citations by year
- 2025: 1 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 4 · 2018: 3 · 2017: 3 · 2016: 1 · 2015: 5 · 2013: 7 · 2012: 2
- FWCI
- 1.17
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Critical Reviews in Biomedical Engineering (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (R01GM082974, GM-082974)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- metabolic engineering, mammalian cells, metabolic flux analysis, flux balance analysis, metabolic pathway analysis, stoichiometric network analysis, therapeutic protein production, drug toxicity, metabolic regulation
- MeSH terms
- Algorithms, Animals, Cell Line, Computer Simulation, Eukaryotic Cells, Cricetinae, Humans, Models, Biological, Computational Biology, Systems Biology, Mice, Rats, Metabolic Networks and Pathways, Metabolic Engineering
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