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Journal of Biomedicine and Biotechnology
Volume 2010 (2010), Article ID 621645, 19 pages
http://dx.doi.org/10.1155/2010/621645
Research Article

Dynamic Metabolic Flux Analysis Demonstrated on Cultures Where the Limiting Substrate Is Changed from Carbon to Nitrogen and Vice Versa

1Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, 9000 Gent, Belgium
2Laboratory of Industrial Microbiology and Biocatalysis, Ghent University, Coupure Links 653, 9000 Gent, Belgium
3Département de Génie Civil et Génie des Eaux, Université Laval, Québec, QC, Canada G1V OA6

Received 23 November 2009; Revised 10 April 2010; Accepted 24 June 2010

Academic Editor: Maciek Antoniewicz

Copyright © 2010 Gaspard Lequeux et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [15 citations]

The following is the list of published articles that have cited the current article.

  • Felipe A. Vargas, Francisco Pizarro, J Ricardo Pérez-Correa, and Eduardo Agosin, “Expanding a dynamic flux balance model of yeast fermentation to genome-scale,” BMC Systems Biology, vol. 5, 2011. View at Publisher · View at Google Scholar
  • Robert W. Leighty, and Maciek R. Antoniewicz, “Dynamic metabolic flux analysis (DMFA): A framework for determining fluxes at metabolic non-steady state,” Metabolic Engineering, vol. 13, no. 6, pp. 745–755, 2011. View at Publisher · View at Google Scholar
  • Woo Suk Ahn, and Maciek R. Antoniewicz, “Towards dynamic metabolic flux analysis in CHO cell cultures,” Biotechnology Journal, vol. 7, no. 1, pp. 61–74, 2011. View at Publisher · View at Google Scholar
  • Rajesh K. Srivastava, Soumen K. Maiti, Debasish Das, Prashant M. Bapat, Kritika Batta, Mani Bhushan, and Pramod P. Wangikar, “Metabolic flexibility of d-ribose producer strain of Bacillus pumilus under environmental perturbations,” Journal Of Industrial Microbiology & Biotechnology, vol. 39, no. 8, pp. 1227–1243, 2012. View at Publisher · View at Google Scholar
  • Xueyang Feng, You Xu, Yixin Chen, and Yinjie J. Tang, “Integrating Flux Balance Analysis into Kinetic Models to Decipher the Dynamic Metabolism of Shewanella oneidensis MR-1,” Plos Computational Biology, vol. 8, no. 2, 2012. View at Publisher · View at Google Scholar
  • K. Höffner, S. M. Harwood, and P. I. Barton, “A reliable simulator for dynamic flux balance analysis,” Biotechnology and Bioengineering, vol. 110, no. 3, pp. 792–802, 2012. View at Publisher · View at Google Scholar
  • Maciek R Antoniewicz, “Dynamic metabolic flux analysis—tools for probing transient states of metabolic networks,” Current Opinion in Biotechnology, 2013. View at Publisher · View at Google Scholar
  • Dominique Vercammen, Filip Logist, and Jan Van Impe, “Dynamic estimation of specific fluxes in metabolic networks using non-linear dynamic optimization,” BMC Systems Biology, vol. 8, no. 1, 2014. View at Publisher · View at Google Scholar
  • Verónica S. Martínez, Maria Buchsteiner, Peter Gray, Lars K. Nielsen, and Lake-Ee Quek, “Dynamic Metabolic Flux Analysis using B-splines to study the effects of temperature shift on CHO cell metabolism,” Metabolic Engineering Communications, 2015. View at Publisher · View at Google Scholar
  • Maciek R. Antoniewicz, “Methods and advances in metabolic flux analysis: a mini-review,” Journal Of Industrial Microbiology & Biotechnology, vol. 42, no. 3, pp. 317–325, 2015. View at Publisher · View at Google Scholar
  • Thomas M. Reimonn, Seo-Young Park, Cyrus D. Agarabi, Kurt A. Brorson, and Seongkyu Yoon, “Effect of amino acid supplementation on titer and glycosylation distribution in hybridoma cell cultures-Systems biology-based interpretation using genome-scale metabolic flux balance model and multivariate data analysis,” Biotechnology Progress, 2016. View at Publisher · View at Google Scholar
  • Sofia Fernandes de Sousa, Georges Bastin, Mario Jolicoeur, and Alain Vande Wouwer, “Dynamic metabolic flux analysis using a convex analysis approach: Application to hybridoma cell cultures in perfusion,” Biotechnology And Bioengineering, vol. 113, no. 5, pp. 1102–1112, 2016. View at Publisher · View at Google Scholar
  • Sofia Fernandes, Julien Robitaille, Georges Bastin, Mario Jolicoeur, and Alain Vande Wouwer, “Dynamic metabolic flux analysis of underdetermined and overdetermined metabolic networks,” IFAC-PapersOnLine, vol. 49, no. 26, pp. 318–323, 2016. View at Publisher · View at Google Scholar
  • Zhuangrong Huang, Dong-Yup Lee, and Seongkyu Yoon, “Quantitative intracellular flux modeling and applications in biotherapeutic development and production using CHO cell cultures,” Biotechnology and Bioengineering, 2017. View at Publisher · View at Google Scholar
  • Henning Dannheim, Sabine E. Will, Dietmar Schomburg, and Meina Neumann-Schaal, “ Clostridioides difficile 630Δ erm in silico and in vivo - quantitative growth and extensive polysaccharide secretion ,” FEBS Open Bio, vol. 7, no. 4, pp. 602–615, 2017. View at Publisher · View at Google Scholar