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Tuning of CHO secretional machinery improve activity of secreted therapeutic sulfatase 150-fold
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Technology.ORCID iD: 0000-0002-9728-2889
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Technology.ORCID iD: 0000-0001-5320-5227
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Protein Science, Protein Technology.ORCID iD: 0000-0002-7875-2822
SOBI AB, Tomtebodavagen 23A, Stockholm, Sweden, Tomtebodavägen 23A.
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2024 (English)In: Metabolic engineering, ISSN 1096-7176, E-ISSN 1096-7184, Vol. 81, p. 157-166Article in journal (Refereed) Published
Abstract [en]

Rare diseases are, despite their name, collectively common and millions of people are affected daily of conditions where treatment often is unavailable. Sulfatases are a large family of activating enzymes related to several of these diseases. Heritable genetic variations in sulfatases may lead to impaired activity and a reduced macromolecular breakdown within the lysosome, with several severe and lethal conditions as a consequence. While therapeutic options are scarce, treatment for some sulfatase deficiencies by recombinant enzyme replacement are available. The recombinant production of such sulfatases suffers greatly from both low product activity and yield, further limiting accessibility for patient groups. To mitigate the low product activity, we have investigated cellular properties through computational evaluation of cultures with varying media conditions and comparison of two CHO clones with different levels of one active sulfatase variant. Transcriptome analysis identified 18 genes in secretory pathways correlating with increased sulfatase production. Experimental validation by upregulation of a set of three key genes improved the specific enzymatic activity at varying degree up to 150-fold in another sulfatase variant, broadcasting general production benefits. We also identified a correlation between product mRNA levels and sulfatase activity that generated an increase in sulfatase activity when expressed with a weaker promoter. Furthermore, we suggest that our proposed workflow for resolving bottlenecks in cellular machineries, to be useful for improvements of cell factories for other biologics as well.

Place, publisher, year, edition, pages
Elsevier BV , 2024. Vol. 81, p. 157-166
Keywords [en]
CHO, Sulfatase, Systems biology, Transcriptomics
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
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URN: urn:nbn:se:kth:diva-341758DOI: 10.1016/j.ymben.2023.12.003ISI: 001138624600001PubMedID: 38081506Scopus ID: 2-s2.0-85179839715OAI: oai:DiVA.org:kth-341758DiVA, id: diva2:1823443
Note

QC 20240102

Available from: 2024-01-02 Created: 2024-01-02 Last updated: 2024-01-22Bibliographically approved

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Thalén, NiklasMoradi, MonaLundqvist, MagnusBidkhori, GholamrezaMalm, MagdalenaKarlsson, AliceMardinoglu, AdilVolk, Anna-LuisaRockberg, Johan

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Thalén, NiklasMoradi, MonaLundqvist, MagnusBidkhori, GholamrezaMalm, MagdalenaKarlsson, AliceMardinoglu, AdilVolk, Anna-LuisaRockberg, Johan
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Protein TechnologyScience for Life Laboratory, SciLifeLabSystems Biology
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Metabolic engineering
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)

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