Research and Development, Glycotope GmbH, Berlin, Germany.
Sartorius Stedim Biotech, Royston, UK.
Biotechnol Prog. 2019 Sep;35(5):e2832. doi: 10.1002/btpr.2832. Epub 2019 May 23.
Continuous upstream processing in mammalian cell culture for recombinant protein production holds promise to increase product yield and quality. To facilitate the design and optimization of large-scale perfusion cultures, suitable scale-down mimics are needed which allow high-throughput experiments to be performed with minimal raw material requirements. Automated microbioreactors are available that mimic batch and fed-batch processes effectively but these have not yet been adapted for perfusion cell culture. This article describes how an automated microbioreactor system (ambr15) can be used to scale-down perfusion cell cultures using cell sedimentation as the method for cell retention. The approach accurately predicts the viable cell concentration, in the range of about 1 × 10 cells/mL for a human cell line, and cell viability of larger scale cultures using a hollow fiber based cell retention system. While it was found to underpredict cell line productivity, the method accurately predicts product quality attributes, including glycosylation profiles, from cultures performed in bioreactors with working volumes between 1 L and 1,000 L. The spent media exchange method using the ambr15 was found to predict the influence of different media formulations on large-scale perfusion cultures in contrast to batch and chemostat experiments performed in the microbioreactor system. The described experimental setup in the microbioreactor allowed an 80-fold reduction in cell culture media requirements, half the daily operator time, which can translate into a cost reduction of approximately 2.5-fold compared to a similar experimental setup at bench scale.
哺乳动物细胞培养中的连续上游处理有望提高产物产量和质量。为了便于设计和优化大规模灌注培养,需要合适的缩小模拟物,这些模拟物允许在最小的原材料需求下进行高通量实验。现已有可有效模拟批式和补料分批过程的自动化微生物反应器,但尚未将其用于灌注细胞培养。本文介绍了如何使用自动化微生物反应器系统(ambr15)通过细胞沉降作为细胞保留方法来缩小灌注细胞培养。该方法可准确预测活细胞浓度,对于使用中空纤维细胞保留系统的较大规模培养物,预测范围约为 1×10 个细胞/ml。虽然发现该方法低估了细胞系的生产力,但它可以准确预测产物质量属性,包括糖基化谱,这些产物质量属性是在工作体积为 1 升至 1000 升的生物反应器中进行的培养。与在微生物反应器系统中进行的批式和恒化器实验相比,使用 ambr15 的消耗性培养基交换方法发现可预测不同培养基配方对大规模灌注培养的影响。在微生物反应器中描述的实验设置可将细胞培养培养基的需求减少 80 倍,每日操作人员的时间减少一半,与在台式规模上进行类似实验相比,成本可降低约 2.5 倍。