Tuning of CHO secretional machinery improve activity of secreted therapeutic sulfatase 150-fold

IF 6.8 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Metabolic engineering Pub Date : 2023-12-09 DOI:10.1016/j.ymben.2023.12.003
Niklas Berndt Thalén , Mona Moradi Barzadd , Magnus Lundqvist , Johanna Rodhe , Monica Andersson , Gholamreza Bidkhori , Dominik Possner , Chao Su , Joakim Nilsson , Peter Eisenhut , Magdalena Malm , Alice Karlsson , Jeanette Vestin , Johan Forsberg , Erik Nordling , Adil Mardinoglu , Anna-Luisa Volk , Anna Sandegren , Johan Rockberg
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Abstract

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.

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调整 CHO 分泌机制可将分泌型治疗用硫酸酯酶的活性提高 150 倍
罕见病虽然名为罕见病,但其实是一种常见病,每天都有数百万人受到罕见病的影响,而这些疾病往往无法得到治疗。硫酸酯酶是一个庞大的活化酶家族,与其中几种疾病有关。硫酸酯酶的遗传变异可能导致其活性受损,溶酶体内大分子分解减少,从而引发多种严重的致命疾病。虽然治疗方法很少,但可以通过重组酶替代治疗某些硫酸酯酶缺乏症。这种硫酸酯酶的重组生产存在产品活性和产量都很低的问题,进一步限制了患者群体的使用。为了缓解产品活性低的问题,我们通过对不同培养基条件下的培养物进行计算评估,并对两种具有不同活性硫酸酯酶变体水平的 CHO 克隆进行比较,从而对细胞特性进行了研究。转录组分析确定了分泌途径中与硫酸酯酶产量增加相关的 18 个基因。通过上调一组三个关键基因进行实验验证,另一种硫酸酶变体的特定酶活性得到了不同程度的提高,最高可达 150 倍,这说明生产普遍受益。我们还发现了产品 mRNA 水平与硫酸亚铁酶活性之间的相关性,当使用较弱的启动子表达时,硫酸亚铁酶活性会增加。此外,我们还建议,我们提出的解决细胞机器瓶颈的工作流程也可用于改进其他生物制剂的细胞工厂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Metabolic engineering
Metabolic engineering 工程技术-生物工程与应用微生物
CiteScore
15.60
自引率
6.00%
发文量
140
审稿时长
44 days
期刊介绍: Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.
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