Institute for Biochemical Engineering, Technische Universität Braunschweig, Braunschweig, Germany.
Biotechnol J. 2011 Dec;6(12):1516-31. doi: 10.1002/biot.201000417. Epub 2011 Nov 7.
Bacillus megaterium was used as an alternative high potential microbial production system for the production of antibody fragment D1.3 scFv. The aim of the study was to follow a holistic optimization approach from medium screening in small scale microtiter platforms, gaining deeper process understanding in the bioreactor scale and implementing advanced process strategies at larger scales (5-100 L). Screening and optimization procedures were supported by statistical design of experiments and a genetic algorithm approach. The process control relied on a soft-sensor for biomass estimation to establish a μ-oscillating time-dependent fed-batch strategy. Several cycles of growth phases and production phases, equal to starving phases, were performed in one production. Flow cytometry was used to monitor and characterize the dynamics of secretion and cell viability. Besides the biosynthesis of the product, secretion was optimized by an appropriate medium design considering different carbon sources, metal ions, (NH(4))(2)SO(4), and inductor concentrations. For bioprocess design, an adapted oscillating fed-batch strategy was conceived and successfully implemented at an industrially relevant scale of 100 L. In comparison to common methods for controlling fed-batch profiles, the developed process delivered increased overall productivities. Thereby measured process parameters such as growth stagnation or productivity fluctuations were directly linked to single cell or population behavior leading to a more detailed process understanding. Above all, the importance of single cell analysis as key scale-free tool to characterize and optimize recombinant protein production is highlighted, since this can be applied to all development stages independently of the cultivation platform.
巨大芽孢杆菌被用作抗体片段 D1.3 scFv 生产的替代高潜力微生物生产系统。本研究旨在采用整体优化方法,从小规模微量滴定板平台的培养基筛选开始,在生物反应器规模上获得更深入的过程理解,并在更大规模(5-100 L)上实施先进的过程策略。筛选和优化程序得到了统计实验设计和遗传算法方法的支持。该过程控制依赖于生物量估计的软传感器,以建立μ振荡时间依赖性分批补料策略。在一次生产中进行了几个生长阶段和生产阶段(相当于饥饿阶段)的循环。流式细胞术用于监测和表征分泌和细胞活力的动力学。除了产物的生物合成外,通过考虑不同的碳源、金属离子、(NH4)2SO4 和诱导剂浓度的适当培养基设计来优化分泌。对于生物过程设计,构思并成功实施了适用于工业相关规模 100 L 的改编后的振荡分批补料策略。与控制分批补料曲线的常见方法相比,开发的工艺提高了整体生产力。因此,直接与单细胞或群体行为相关的测量过程参数,如生长停滞或生产力波动,导致了更详细的过程理解。最重要的是,强调了单细胞分析作为表征和优化重组蛋白生产的关键无尺度工具的重要性,因为它可以独立于培养平台应用于所有开发阶段。