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开发快速高效的筛选方法,以用于重组单克隆抗体生产工艺中高性能水解产物批的筛选。

Development toward rapid and efficient screening for high performance hydrolysate lots in a recombinant monoclonal antibody manufacturing process.

机构信息

Product and Process Development, Amgen Inc, One Amgen Center Drive, Thousand Oaks, CA 91320, USA.

出版信息

Biotechnol Prog. 2012 Jul;28(4):1061-8. doi: 10.1002/btpr.1568. Epub 2012 Jun 22.

Abstract

Plant-derived hydrolysates are widely used in mammalian cell culture media to increase yields of recombinant proteins and monoclonal antibodies (mAbs). However, these chemically varied and undefined raw materials can have negative impact on yield and/or product quality in large-scale cell culture processes. Traditional methods that rely on fractionation of hydrolysates yielded little success in improving hydrolysate quality. We took a holistic approach to develop an efficient and reliable method to screen intact soy hydrolysate lots for commercial recombinant mAb manufacturing. Combined high-resolution (1) H nuclear magnetic resonance (NMR) spectroscopy and partial least squares (PLS) analysis led to a prediction model between product titer and NMR fingerprinting of soy hydrolysate with cross-validated correlation coefficient R(2) of 0.87 and root-mean-squared-error of cross-validation RMSECV% of 11.2%. This approach screens for high performance hydrolysate lots, therefore ensuring process consistency and product quality in the mAb manufacturing process. Furthermore, PLS analysis was successful in discerning multiple markers (DL-lactate, soy saccharides, citrate and succinate) among hydrolysate components that positively and negatively correlate with titer. Interestingly, these markers correlate to the metabolic characteristics of some strains of taxonomically diverse lactic acid bacteria (LAB). Thus our findings indicate that LAB strains may exist during hydrolysate manufacturing steps and their biochemical activities may attribute to the titer enhancement effect of soy hydrolysates.

摘要

植物来源的水解产物广泛用于哺乳动物细胞培养基中,以提高重组蛋白和单克隆抗体(mAb)的产量。然而,这些化学成分多样且未定义的原材料可能会对大规模细胞培养过程中的产量和/或产品质量产生负面影响。传统的依赖水解产物分级的方法在改善水解产物质量方面收效甚微。我们采取了整体方法来开发一种有效且可靠的方法,以筛选用于商业重组 mAb 制造的完整大豆水解产物批次。结合高分辨率(1)H 核磁共振(NMR)光谱和偏最小二乘(PLS)分析,导致了产物滴度与大豆水解产物 NMR 指纹之间的预测模型,交叉验证相关系数 R(2)为 0.87,交叉验证均方根误差 RMSECV%为 11.2%。这种方法筛选出具有高性能的水解产物批次,从而确保了 mAb 制造过程中的工艺一致性和产品质量。此外,PLS 分析成功地区分了水解产物成分中的多个标记物(DL-乳酸、大豆糖、柠檬酸和琥珀酸),它们与滴度呈正相关和负相关。有趣的是,这些标记物与分类上多样化的乳酸杆菌(LAB)某些菌株的代谢特征相关。因此,我们的研究结果表明,LAB 菌株可能存在于水解产物制造过程中,它们的生化活性可能归因于大豆水解产物的滴度增强效应。

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