Cited by 32Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisBioinformatics and Genomic Networks

Advanced stoichiometric analysis of metabolic networks of mammalian systems

Open access
Orman, Mehmet A., Berthiaume, Francois, Androulakis, Ioannis P., Ierapetritou, Marianthi G.·2011·Critical Reviews™ in Biomedical Engineering

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1615/critrevbiomedeng.v39.i6.30

Cites

151 of 151 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • 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).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. [42]Wahl A Sidorenko Y Genzel Y Reichl U Metabolic flux distributions of adherently growing MDCK cells in different media cells and culture Noll T Amsterdam Springer 2010 459 62
  2. [58]Xie L Wang DIC Material balance studies on animal cell metabolism using a stoichiometrically based reaction network Biotechnol Bioeng 1996 52 5 579 90 18629931
  3. [82]Selvarasu S Karimi I Ghim G Lee D Genome-scale modeling and in silico analysis of mouse cell metabolic network Mol Biosyst 2010 6 152 61 20024077
  4. [85]Izamis ML Sharma NS Uygun B Bieganski R Saeidi N Nahmias Y In situ metabolic flux analysis to quantify the liver metabolic response to experimental burn injury Biotechnology and Bioengineering 2011 108 4 839 52 21404258 PMC3277812
  5. [139]Goudar C Biener R Boisart C Heidemann R Piret J de Graaf A Metabolic flux analysis of CHO cells in perfusion culture by metabolite balancing and 2D C-13, H-1 COSY NMR spectroscopy Metab Eng 2010 12 2 138 49 19896555

Cited by

Sorted by citations

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)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review