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Bioprocess development workflow: Transferable physiological knowledge instead of technological correlations.

Wieland N Reichelt1, Florian Haas2, Patrick Sagmeister2

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This summary is machine-generated.

Focusing on cell physiology improves microbial bioprocess transferability. A data management workflow using physiological descriptors aids in understanding and predicting productivity, enhancing scale-up reliability for recombinant protein production.

Keywords:
bioprocess developmentindustrial biotechnologyphysiologic descriptorproductivity

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Area of Science:

  • Biotechnology
  • Biochemical Engineering
  • Microbial Process Engineering

Background:

  • Microbial bioprocesses require seamless transferability across scales and setups.
  • Current efforts heavily rely on technological parameters, overlooking the constant cellular producer.
  • A shift towards physiological parameter control is crucial for robust bioprocess design.

Purpose of the Study:

  • To illustrate a data life cycle management workflow emphasizing physiological parameters for bioprocess transferability.
  • To provide a physiological basis for analyzing and explaining productivity phenomena.
  • To demonstrate the workflow's utility in an industrial Escherichia coli recombinant protein production process.

Main Methods:

  • Implementing a data life cycle management workflow focused on physiological data.
  • Condensing raw data into physiological variables and then into physiological descriptors.
  • Analyzing physiological descriptors to explain productivity variations in Escherichia coli.

Main Results:

  • Post-induction productivity and physiology are independent of pre-induction growth rate and biomass.
  • Specific substrate uptake rate during induction significantly influences maximum specific product titer.
  • Maximum specific titers are predictably reached within a narrow window of cumulative substrate consumption (3.1 ± 0.3 g/g).

Conclusions:

  • A physiological data management workflow enhances understanding and predictability of microbial bioprocesses.
  • Focusing on physiological parameters, rather than solely technological ones, improves process transferability.
  • The study provides a practical approach to gain physiological insights for optimizing recombinant protein production.