Literature DB >> 19422042

A rational design approach for amino acid supplementation in hepatocyte culture.

Hong Yang1, Charles M Roth, Marianthi G Ierapetritou.   

Abstract

Improvement of culture media for mammalian cells is conducted via empirical adjustments, sometimes aided by statistical design methodologies. Here, we demonstrate a proof of principle for the use of constraints-based modeling to achieve enhanced performance of liver-specific functions of cultured hepatocytes during plasma exposure by adjusting amino acid supplementation and hormone levels in the medium. Flux balance analysis (FBA) is used to determine an amino acid flux profile consistent with a desired output; this is used to design an amino acid supplementation. Under conditions of no supplementation, empirical supplementation, and designed supplementation, hepatocytes were exposed to plasma and their morphology, specific cell functions (urea, albumin production) and lipid metabolism were measured. Urea production under the designed amino acid supplementation was found to be increased compared with previously reported (empirical) amino acid supplementation. Not surprisingly, the urea production attained was less than the theoretical value, indicating the existence of pathways or constraints not present in the current model. Although not an explicit design objective, albumin production was also increased by designed amino acid supplementation, suggesting a functional linkage between these outputs. In conjunction with traditional approaches to improving culture conditions, the rational design approach described herein provides a novel means to tune the metabolic outputs of cultured hepatocytes. Copyright 2009 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19422042     DOI: 10.1002/bit.22342

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  6 in total

1.  Applications of a metabolic network model of mesenchymal stem cells for controlling cell proliferation and differentiation.

Authors:  Hamideh Fouladiha; Sayed-Amir Marashi; Mohammad Ali Shokrgozar; Mehdi Farokhi; Amir Atashi
Journal:  Cytotechnology       Date:  2017-10-04       Impact factor: 2.058

Review 2.  Advanced stoichiometric analysis of metabolic networks of mammalian systems.

Authors:  Mehmet A Orman; Francois Berthiaume; Ioannis P Androulakis; Marianthi G Ierapetritou
Journal:  Crit Rev Biomed Eng       Date:  2011

3.  Nitrogen anabolism underlies the importance of glutaminolysis in proliferating cells.

Authors:  Meng Meng; Shuyang Chen; Taotao Lao; Dongming Liang; Nianli Sang
Journal:  Cell Cycle       Date:  2010-10-25       Impact factor: 4.534

4.  Computational reconstruction of tissue-specific metabolic models: application to human liver metabolism.

Authors:  Livnat Jerby; Tomer Shlomi; Eytan Ruppin
Journal:  Mol Syst Biol       Date:  2010-09-07       Impact factor: 11.429

5.  Stoichiometry based steady-state hepatic flux analysis: computational and experimental aspects.

Authors:  Mehmet A Orman; John Mattick; Ioannis P Androulakis; Francois Berthiaume; Marianthi G Ierapetritou
Journal:  Metabolites       Date:  2012-03-14

6.  Profiling the interaction mechanism of quinoline/quinazoline derivatives as MCHR1 antagonists: an in silico method.

Authors:  Mingwei Wu; Yan Li; Xinmei Fu; Jinghui Wang; Shuwei Zhang; Ling Yang
Journal:  Int J Mol Sci       Date:  2014-09-01       Impact factor: 5.923

  6 in total

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