Chan L C, Greenfield P F, Reid S
Department of Chemical Engineering, The University of Queensland, St Lucia, Qld 4072, Australia.
Biotechnol Bioeng. 1998 Jul 20;59(2):178-88. doi: 10.1002/(sici)1097-0290(19980720)59:2<178::aid-bit6>3.0.co;2-e.
Fed-batch culture can offer significant improvement in recombinant protein production compared to batch culture in the baculovirus expression vector system (BEVS), as shown by Nguyen et al. (1993) and Bedard et al. (1994) among others. However, a thorough analysis of fed-batch culture to determine its limits in improving recombinant protein production over batch culture has yet to be performed. In this work, this issue is addressed by the optimisation of single-addition fed-batch culture. This type of fed-batch culture involves the manual addition of a multi-component nutrient feed to batch culture before infection with the baculovirus. The nutrient feed consists of yeastolate ultrafiltrate, lipids, amino acids, vitamins, trace elements, and glucose, which were added to batch cultures of Spodoptera frugiperda (Sf9) cells before infection with a recombinant Autographa californica nuclear polyhedrosis virus (AcNPV) expressing beta-galactosidase (beta-Gal). The fed-batch production of beta-Gal was optimised using response surface methods (RSM). The optimisation was performed in two stages, starting with a screening procedure to determine the most important variables and ending with a central-composite experiment to obtain a response surface model of volumetric beta-Gal production. The predicted optimum volumetric yield of beta-Gal in fed-batch culture was 2.4-fold that of the best yields in batch culture. This result was confirmed by a statistical analysis of the best fed-batch and batch data (with average beta-Gal yields of 1.2 and 0.5 g/L, respectively) obtained from this laboratory. The response surface model generated can be used to design a more economical fed-batch operation, in which nutrient feed volumes are minimised while maintaining acceptable improvements in beta-Gal yield.
如Nguyen等人(1993年)和Bedard等人(1994年)等的研究所示,在杆状病毒表达载体系统(BEVS)中,与分批培养相比,补料分批培养能显著提高重组蛋白的产量。然而,尚未对补料分批培养进行全面分析,以确定其在提高重组蛋白产量方面相对于分批培养的局限性。在本研究中,通过优化单次补料分批培养来解决这个问题。这种类型的补料分批培养涉及在杆状病毒感染前手动向分批培养物中添加多组分营养饲料。营养饲料由酵母提取物超滤物、脂质、氨基酸、维生素、微量元素和葡萄糖组成,在感染表达β-半乳糖苷酶(β-Gal)的重组苜蓿银纹夜蛾核型多角体病毒(AcNPV)之前,将其添加到草地贪夜蛾(Sf9)细胞的分批培养物中。使用响应面法(RSM)对β-Gal的补料分批生产进行了优化。优化分两个阶段进行,首先是筛选程序,以确定最重要的变量,最后是中心复合实验,以获得β-Gal体积产量的响应面模型。补料分批培养中β-Gal的预测最佳体积产量是分批培养中最佳产量的2.4倍。从本实验室获得的数据对最佳补料分批和分批培养数据(β-Gal平均产量分别为1.2和0.5 g/L)进行统计分析,证实了这一结果。生成的响应面模型可用于设计更经济的补料分批操作,在保持β-Gal产量可接受提高的同时,将营养饲料体积降至最低。