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Biosensor that Detects Stress Caused by Periplasmic Proteins
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.ORCID iD: 0000-0003-4230-6393
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
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Number of Authors: 52024 (English)In: ACS Synthetic Biology, E-ISSN 2161-5063, Vol. 13, no 5, p. 1477-1491Article in journal (Refereed) Published
Abstract [en]

Escherichia coli is often used as a factory to produce recombinant proteins. In many cases, the recombinant protein needs disulfide bonds to fold and function correctly. These proteins are genetically fused to a signal peptide so that they are secreted to the oxidizing environment of the periplasm (where the enzymes required for disulfide bond formation exist). Currently, it is difficult to determine in vivo whether a recombinant protein is efficiently secreted from the cytoplasm and folded in the periplasm or if there is a bottleneck in one of these steps because cellular capacity has been exceeded. To address this problem, we have developed a biosensor that detects cellular stress caused by (1) inefficient secretion of proteins from the cytoplasm and (2) aggregation of proteins in the periplasm. We demonstrate how the fluorescence fingerprint obtained from the biosensor can be used to identify induction conditions that do not exceed the capacity of the cell and therefore do not cause cellular stress. These induction conditions result in more effective biomass and in some cases higher titers of soluble recombinant proteins.

Place, publisher, year, edition, pages
2024. Vol. 13, no 5, p. 1477-1491
Keywords [en]
biosensor, recombinant protein production, periplasm, heat shock response, envelope stress response, ibpA, cpx
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:su:diva-231152DOI: 10.1021/acssynbio.3c00720ISI: 001227129800001PubMedID: 38676700Scopus ID: 2-s2.0-85192211081OAI: oai:DiVA.org:su-231152DiVA, id: diva2:1877282
Available from: 2024-06-25 Created: 2024-06-25 Last updated: 2025-02-20Bibliographically approved
In thesis
1. New genetic modules for protein production in microbial cell factories
Open this publication in new window or tab >>New genetic modules for protein production in microbial cell factories
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Escherichia coli (E. coli) is a commonly used microbial cell factory in recombinant protein production. Although extensive efforts have been made to optimize the production of soluble, functional recombinant proteins, sufficient yields are still not obtainable for all proteins. This doctoral thesis presents tools which address concerns of insufficient titres. These tools consist of 1) improvements to antibiotic resistance fragments 2) a new collection of pET expression plasmids containing re-designed antibiotic resistance fragments, transcription- and translation initiation modules and terminator module 3) description of a biosensor which can detect issues in quality of recombinant protein production in vivo. The use of these tools could possibly increase the yields of recombinant protein.

Place, publisher, year, edition, pages
Stockholm: Department of Biochemsitry and Biophysics, Stockholm University, 2024. p. 75
Keywords
Microbial cell factories, recombinant protein, recombinant protein production, protein production system, E. coli, pET, pET system, protein production optimization, expression plasmid, biosensor, genetic modules
National Category
Biochemistry Molecular Biology
Research subject
Biochemistry
Identifiers
urn:nbn:se:su:diva-232294 (URN)978-91-8014-877-1 (ISBN)978-91-8014-878-8 (ISBN)
Public defence
2024-09-25, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 16 B, Stockholm, 14:00 (English)
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Available from: 2024-09-02 Created: 2024-08-12 Last updated: 2025-02-20Bibliographically approved

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Khananisho, DianaBalka, MateuszDaley, Daniel O.

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