Christian Doppler Laboratory for Mechanistic and Physiological Methods for Improved Bioprocesses, Institute of Chemical Environmental and Bioscience Engineering, Vienna University of Technology, Vienna, Austria.
Christian Doppler Laboratory for Mechanistic and Physiological Methods for Improved Bioprocesses, Institute of Chemical Environmental and Bioscience Engineering, Vienna University of Technology, Vienna, Austria.
J Biotechnol. 2019 Apr 20;296:75-82. doi: 10.1016/j.jbiotec.2019.03.014. Epub 2019 Mar 20.
The Gram-negative bacterium E. coli is the host of choice for the production of a multitude of recombinant proteins in industry. Generally, cultivation is easy, media are cheap and a high product titer can be obtained. However, harsh induction procedures using IPTG as inducer are often referred to cause stress reactions, leading to a phenomenon known as metabolic burden and expression of inclusion bodies. In this contribution, we present different strategies for determination of critical timepoints for product stability in an E. coli IB bioprocess. As non-controlled feeding during induction regularly led to undesired product loss, we applied physiological feeding control. We found that the feeding strategy has indeed high impact on IB productivity. However, high applied q increased IB product titer, but subsequently stressed the cells and finally led to product degradation. Calculating the cumulated glycerol uptake of the cells during induction phase (dSn), we found an empirical value, which serves as a strong indicator for process performance and can be used as process analytical tool. We tested different approaches starting from offline control. Glycerol accumulation could be used as trigger to establish a model-based approach to predict titer and viable cell concentration for a model protein. This straight forward control and model-based approach is high beneficial for upstream development and for increasing stability.
革兰氏阴性菌大肠杆菌是工业生产多种重组蛋白的首选宿主。通常,大肠杆菌的培养简单,培养基廉价,并且可以获得高产物滴度。然而,使用 IPTG 作为诱导剂的苛刻诱导程序通常会引起应激反应,导致代谢负担和包含体表达等现象。在本研究中,我们提出了不同的策略来确定大肠杆菌包涵体生物过程中产物稳定性的关键时间点。由于诱导过程中的非控制进料经常导致不可取的产物损失,我们应用了生理进料控制。我们发现,进料策略确实对包涵体的生产力有很大的影响。然而,高的进料 q 值虽然提高了包涵体产物的滴度,但随后会对细胞造成压力,最终导致产物降解。在诱导阶段计算细胞累积甘油摄取量(dSn)时,我们发现了一个经验值,它可以作为过程性能的有力指标,并可用作过程分析工具。我们从离线控制开始测试了不同的方法。甘油积累可以用作触发因素,建立基于模型的方法来预测模型蛋白的滴度和活细胞浓度。这种简单直接的控制和基于模型的方法对于上游开发和提高稳定性非常有益。