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  • 1Department of Biochemistry and Biophysics, Stockholm University, Stockholm SE-19468, Sweden.

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Summary

A new biosensor detects cellular stress during recombinant protein production in Escherichia coli. This tool helps optimize conditions for efficient protein secretion and folding, leading to improved biomass and protein yields.

Keywords:
biosensorcpxenvelope stress responseheat shock responseibpAperiplasmrecombinant protein production

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Cellular Biology

Background:

  • Escherichia coli is a common host for recombinant protein production.
  • Proper folding and function of many recombinant proteins require disulfide bonds, necessitating secretion to the oxidizing periplasm.
  • Assessing secretion efficiency and periplasmic folding bottlenecks in vivo has been challenging.

Purpose of the Study:

  • To develop a novel biosensor for detecting cellular stress during recombinant protein production.
  • To identify bottlenecks in protein secretion and periplasmic folding.
  • To optimize induction conditions for enhanced biomass and soluble protein yields.

Main Methods:

  • Development of a biosensor to detect cellular stress.
  • Monitoring cellular stress indicators related to protein secretion and aggregation.
  • Analysis of fluorescence fingerprints to identify optimal induction parameters.

Main Results:

  • The biosensor effectively detects cellular stress arising from inefficient protein secretion or periplasmic aggregation.
  • Fluorescence fingerprints correlate with cellular stress levels.
  • Optimized induction conditions, identified using the biosensor, reduce cellular stress.
  • These optimized conditions lead to increased biomass and improved yields of soluble recombinant proteins.

Conclusions:

  • The developed biosensor is a valuable tool for monitoring and optimizing recombinant protein production in Escherichia coli.
  • By avoiding cellular capacity overload, improved protein yields can be achieved.
  • This approach facilitates the identification of non-stressful induction conditions for enhanced bioprocessing.