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Efficient feeding profile optimization for recombinant protein production using physiological information

机译:利用生理信息优化重组蛋白质生产的有效进料配置

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摘要

A multivariate study was performed aiming at the optimization of a recombinant rhamnose inducible E. coli induction system with alkaline phosphatase as target product. The effects of typical factors with impact on post- as well as pre-induction feeding rates were investigated with respect to the space–time yield of the target product. The goal was increased understanding as well as quantitative characterization of these factors with respect to their physiological impact on the model system. The optical density (OD) at which the culture was induced had a strong positive effect on the space–time yield. Pre-induction growth rate (k) had a second-order effect, while induction feed rate drop (J), a factor defining the linear post-induction feed rate, was interacting with (k). However, explanation of the observed effects to acquire more understanding regarding their effect on cell metabolism was not straight forward. Hence, the original process parameters were transformed into physiological more meaningful parameters and served as the basis for a multivariate data analysis. The observed variance with respect to observed volumetric activity was fully explained by the specific substrate uptake rate (qs) and induction OD, merging the process parameters pre-induction growth rate (k) and feed rate drop (J) into the physiological parameter specific substrate uptake rate (qs). After transformation of the response volumetric activity (U/ml) into the biomass specific activity (U/gbiomass), the observed variance was fully explained solely by the specific substrate uptake rate (qs). Due to physiological multivariate data analysis, the interpretation of the results was facilitated and factors were reduced. On the basis of the obtained results, it was concluded that the physiological parameter qs rather than process parameters (k, J, induction OD) should be used for process optimization with respect to the feeding profile.
机译:进行了多变量研究,目的是优化以碱性磷酸酶为目标产物的重组鼠李糖诱导型大肠杆菌诱导系统。针对目标产品的时空产量,研究了典型因素对诱导后和诱导前进食速率的影响。目的是就这些因素对模型系统的生理影响,加深对这些因素的理解并对其进行定量表征。诱导培养的光密度(OD)对时空产量产生强烈的积极影响。诱导前生长速率(k)具有二阶效应,而诱导进料速率下降(J)是定义线性诱导后进料速率的因素,与(k)相互作用。但是,对观察到的作用进行解释以获取更多关于其对细胞代谢作用的了解并不是直截了当的。因此,将原始过程参数转换为更有意义的生理参数,并作为多变量数据分析的基础。相对于观察到的体积活性的观察到的差异通过特定的底物吸收速率(qs)和诱导OD充分解释,将过程参数预诱导生长速率(k)和进料速率下降(J)合并到生理参数特定的基质中摄取率(qs)。在将响应体积活性(U / ml)转换为生物质比活性(U / gbiomass)后,观察到的差异仅由比底物吸收率(qs)完全解释。由于进行了生理多变量数据分析,结果的解释变得容易,并且减少了因素。根据获得的结果,得出结论,应该使用生理参数qs而不是过程参数(k,J,诱导OD)来优化进料特性。

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