首页> 外文会议>Conference on biochemical and molecular engineering >OPTIMIZATION OF E. COLI SOLUPRO™ USING SYNTHETIC BIOLOGY TO GENERATE A HIGH PERFORMANCE CHASSIS MICROBE FOR SCALABLE PRODUCTION OF PROTEIN THERAPEUTICS
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OPTIMIZATION OF E. COLI SOLUPRO™ USING SYNTHETIC BIOLOGY TO GENERATE A HIGH PERFORMANCE CHASSIS MICROBE FOR SCALABLE PRODUCTION OF PROTEIN THERAPEUTICS

机译:利用合成生物学优化E. COLI SOLUPRO™以产生高性能底盘微生物以可规模生产蛋白质疗法

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E. coli is a historically important research tool for early phase discovery and development of protein therapeutics. Nevertheless, Chinese Hamster Ovary (CHO) and other mammalian cell lines are the predominant production hosts for current generation antibody and antibody fragment production. Microbial hosts such as E. coli are used to produce a minority of approved biologic drugs relative to mammalian cell lines, due in part to perceived limitations in protein solubility and quality related to the complexities of protein folding, maturation, host specific post-translational modifications, as well as regulatory considerations. However, recent advances in our understanding of microbial biology and synthetic biology have enabled rapid progress to be made in the development of microbial cell lines that exceed the performance of best-in-class mammalian cell lines. AbSci has developed a functional reconstruction of the protein production environment of the eukaryotic endoplasmic reticulum in E. coli, which includes a semi-oxidized cytoplasm that facilitates appropriate protein folding and disulfide bond formation. Within the physiological context of E. coli SoluPro™, a best-in-class synthetic biology strategy that modulates rates of gene expression, protein expression, and protein folding using a plasm id-based design architecture have been validated as a strategy to produce soluble, high titer and quality protein biologies. Following construction of millions of plasmid variants using a pooled DNA construction library approach, plasmids are screened in vivo for improvements in protein titer and quality using a fluorescence activated cell sorting (FACS)-mediated antigen binding assay. Next generating sequencing (NGS) is used to identify genotypes enriched within populations of cells with enhanced antigen-binding properties. Secondary assays are performed to validate strain improvements identified by flow cytometry, including an orthogonal screening of antibody-mediated antigen-binding in cell lysates, as well as advanced Mass Spectrometry methods to quantify disulfide bond formation and other protein quality attributes. This strategy has enabled rapid identification of plasmid designs for soluble production of full-length antibodies and antibody fragments that can be scaled to multigram quantities of product in bioreactor fermentations of 48 hours or less. Additional optimization of the E. coli SoluPro™ chassis is being tailored to further improve folding and maturation of additional classes of complex therapeutic proteins. The ease of use of E. coli and technical robustness of our high-throughput discovery and optimization workflow enables AbSci to rapidly identify key conditions for heterologous protein production and identify protein folding solutions conditions that can exceed Gram level quantities of soluble protein with less than three months of strain optimization effort.
机译:大肠杆菌是用于蛋白质治疗的早期发现和开发的历史上重要的研究工具。然而,中国仓鼠卵巢(CHO)和其他哺乳动物细胞系是当前一代抗体和抗体片段生产的主要生产宿主。相对于哺乳动物细胞系,微生物宿主(例如大肠杆菌)用于生产少数批准的生物药物,部分原因是与蛋白质折叠,成熟,宿主特异的翻译后修饰相关的蛋白质溶解度和质量方面的局限性,以及监管方面的考虑。但是,我们对微生物生物学和合成生物学的了解的最新进展使微生物细胞系的开发取得了飞速进步,其发展超出了同类最佳的哺乳动物细胞系的性能。 AbSci已开发了一种功能重构的大肠杆菌中真核内质网的蛋白质生产环境,其中包括半氧化的细胞质,可促进适当的蛋白质折叠和二硫键形成。在大肠杆菌SoluPro™的生理背景下,使用基于质粒ID的设计架构调节基因表达,蛋白质表达和蛋白质折叠速率的同类最佳合成生物学策略已被验证为生产可溶蛋白的策略。 ,高滴度和高质量的蛋白质生物学。在使用合并的DNA构建文库方法构建数百万个质粒变体之后,使用荧光激活细胞分选(FACS)介导的抗原结合测定法对质粒进行体内筛选,以提高蛋白滴度和质量。下一代测序(NGS)用于鉴定富集具有增强的抗原结合特性的细胞群中的基因型。进行二级测定以验证通过流式细胞仪鉴定的菌株改良,包括在细胞裂解物中对抗体介导的抗原结合进行正交筛选,以及先进的质谱法来量化二硫键形成和其他蛋白质质量属性。该策略使得能够快速鉴定用于可溶性生产全长抗体和抗体片段的质粒设计,所述全长抗体和抗体片段可以在48小时或更短的时间内进行生物反应器发酵,定标成多克产品。正在定制E. coli SoluPro™底盘的其他优化,以进一步改善其他种类的复杂治疗性蛋白质的折叠和成熟度。大肠杆菌的易用性以及我们高通量发现和优化工作流程的技术稳健性使AbSci能够快速识别异源蛋白质生产的关键条件,并识别出蛋白质折叠溶液的条件,这些条件可能超过可溶性蛋白质的革兰氏水平,而少于3个数月的应变优化工作。

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