Literature DB >> 22196224

Advanced stoichiometric analysis of metabolic networks of mammalian systems.

Mehmet A Orman1, Francois Berthiaume, Ioannis P Androulakis, Marianthi G Ierapetritou.   

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.

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Year:  2011        PMID: 22196224      PMCID: PMC3634616          DOI: 10.1615/critrevbiomedeng.v39.i6.30

Source DB:  PubMed          Journal:  Crit Rev Biomed Eng        ISSN: 0278-940X


  143 in total

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Journal:  J Theor Biol       Date:  2007-01-05       Impact factor: 2.691

7.  Metabolic response of perfused livers to various oxygenation conditions.

Authors:  Mehmet A Orman; Marianthi G Ierapetritou; Ioannis P Androulakis; Francois Berthiaume
Journal:  Biotechnol Bioeng       Date:  2011-08-04       Impact factor: 4.530

8.  Control of oxidative phosphorylation, gluconeogenesis, ureagenesis and ATP turnover in isolated perfused rat liver analyzed by top-down metabolic control analysis.

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Journal:  Eur J Biochem       Date:  1993-10-01

10.  The Edinburgh human metabolic network reconstruction and its functional analysis.

Authors:  Hongwu Ma; Anatoly Sorokin; Alexander Mazein; Alex Selkov; Evgeni Selkov; Oleg Demin; Igor Goryanin
Journal:  Mol Syst Biol       Date:  2007-09-18       Impact factor: 11.429

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  9 in total

1.  Reconstruction and validation of a constraint-based metabolic network model for bone marrow-derived mesenchymal stem cells.

Authors:  H Fouladiha; S-A Marashi; M A Shokrgozar
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Review 2.  Bioengineering Solutions for Manufacturing Challenges in CAR T Cells.

Authors:  Nicole J Piscopo; Katherine P Mueller; Amritava Das; Peiman Hematti; William L Murphy; Sean P Palecek; Christian M Capitini; Krishanu Saha
Journal:  Biotechnol J       Date:  2017-09-18       Impact factor: 4.677

Review 3.  Towards high resolution analysis of metabolic flux in cells and tissues.

Authors:  James K Sims; Sara Manteiga; Kyongbum Lee
Journal:  Curr Opin Biotechnol       Date:  2013-07-29       Impact factor: 9.740

4.  Identification of growth phases and influencing factors in cultivations with AGE1.HN cells using set-based methods.

Authors:  Steffen Borchers; Susann Freund; Alexander Rath; Stefan Streif; Udo Reichl; Rolf Findeisen
Journal:  PLoS One       Date:  2013-08-02       Impact factor: 3.240

5.  Resuscitation of ischemic donor livers with normothermic machine perfusion: a metabolic flux analysis of treatment in rats.

Authors:  Maria-Louisa Izamis; Herman Tolboom; Basak Uygun; Francois Berthiaume; Martin L Yarmush; Korkut Uygun
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

Review 6.  Amino acids in the cultivation of mammalian cells.

Authors:  Andrew Salazar; Michael Keusgen; Jörg von Hagen
Journal:  Amino Acids       Date:  2016-02-01       Impact factor: 3.520

Review 7.  Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease.

Authors:  Reuben L Smith; Maarten R Soeters; Rob C I Wüst; Riekelt H Houtkooper
Journal:  Endocr Rev       Date:  2018-08-01       Impact factor: 19.871

Review 8.  Metabolic Flux Analysis-Linking Isotope Labeling and Metabolic Fluxes.

Authors:  Yujue Wang; Fredric E Wondisford; Chi Song; Teng Zhang; Xiaoyang Su
Journal:  Metabolites       Date:  2020-11-06

9.  Developmental scRNAseq Trajectories in Gene- and Cell-State Space-The Flatworm Example.

Authors:  Maria Schmidt; Henry Loeffler-Wirth; Hans Binder
Journal:  Genes (Basel)       Date:  2020-10-16       Impact factor: 4.096

  9 in total

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