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Upstream processing represents a critical phase in biomanufacturing, wherein biological systems such as microorganisms, mammalian cells, or insect cells are cultivated to produce therapeutic proteins, vaccines, enzymes, or other biologically derived products. This phase encompasses all steps from the selection and genetic manipulation of the production organism to the cultivation of cells in bioreactors under tightly controlled environmental conditions.Host Selection and Genetic OptimizationThe...
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A systems approach to plant bioprocess optimization.

Mathieu Cloutier1, Jingkui Chen, Caroline De Dobbeleer

  • 1Canada Research Chair in Applied Metabolic Engineering, Bio-P2 Research Unit, Department of Chemical Engineering, Ecole Polytechnique de Montreal, Montreal, Quebec, Canada.

Plant Biotechnology Journal
|October 22, 2009
PubMed
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Stabilizing intracellular glucose and nitrogen in plant cell cultures significantly boosts secondary metabolite production. This dynamic approach enhances productivity by over 70% compared to standard methods.

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Area of Science:

  • Plant Biotechnology
  • Metabolic Engineering
  • Bioprocess Engineering

Background:

  • Plant cell cultures are vital for producing valuable secondary metabolites.
  • Optimizing production potential in vitro remains a challenge due to resource allocation dynamics.

Purpose of the Study:

  • To develop and validate a dynamic model for analyzing plant cell metabolism and production potential.
  • To assess the impact of stabilizing intracellular nutrient concentrations on secondary metabolite yield.

Main Methods:

  • Utilized a dynamic metabolic model calibrated with bioreactor data.
  • Developed a dynamic sensitivity analysis framework to evaluate perturbations.
  • Implemented adaptive medium feeding in a perfusion bioreactor to stabilize intracellular nutrients.

Main Results:

  • Simulations indicated limited gains from simple metabolic or medium engineering.
  • Stabilizing intracellular glucose and nitrogen increased specific production by 116% in simulations.
  • Experimental implementation achieved a 73% increase in specific and 129% in total production.

Conclusions:

  • Dynamic sensitivity analysis provides insights into intracellular nutrient management for enhanced cell productivity.
  • Stabilizing intracellular nutrient concentrations is a superior strategy for improving plant bioprocesses.