Dept. of Biochemical Engineering, The Advanced Centre for Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.
Biotechnol Prog. 2010 May-Jun;26(3):697-705. doi: 10.1002/btpr.357.
Locating optimal protein precipitation conditions for complex biological feed materials is problematic. This article describes the application of a series of high-throughput platforms for the rapid identification and selection of conditions for the precipitation of an IgG(4) monoclonal antibody (mAb) from a complex feedstock using only microliter quantities of material. The approach uses 96-microwell filter plates combined with high-throughput analytical methods and a method for well volume determination for product quantification. The low material, time and resource requirements facilitated the use of a full factorial Design of Experiments (DoE) for the rapid investigation into how critical parameters impact the IgG(4) precipitation. To aid the DoE, a set of preliminary range-finding studies were conducted first. Data collected through this approach describing Polyethylene Glycol (PEG) precipitation of the IgG(4) as a function of mAb concentration, precipitant concentration, and pH are presented. Response surface diagrams were used to explore interactions between parameters and to inform selection of the most favorable conditions for maximum yield and purification. PEG concentrations required for maximum yield and purity were dependant on the IgG(4) concentration; however, concentrations of 14 to 20% w/v, pH 6.5, gave optimal levels of yield and purity. Application of the high-throughput approach enabled 1,155 conditions to be examined with less than 1 g of material. The level of insights gained over such a short time frame is indicative of the power of microwell experimentation in allowing the rapid identification of appropriate processing conditions for key bioprocess operations.
定位复杂生物饲料材料的最佳蛋白质沉淀条件是有问题的。本文描述了一系列高通量平台的应用,用于快速识别和选择使用仅微量材料从复杂原料中沉淀 IgG(4)单克隆抗体 (mAb) 的条件。该方法使用 96 微孔滤板结合高通量分析方法和一种用于产品定量的孔体积确定方法。低材料、时间和资源要求促进了全因子实验设计 (DoE) 的快速调查,以了解关键参数如何影响 IgG(4)沉淀。为了帮助 DoE,首先进行了一组初步的范围发现研究。本文通过这种方法收集的数据描述了聚乙二醇 (PEG) 沉淀 IgG(4)作为 mAb 浓度、沉淀剂浓度和 pH 的函数。响应面图用于探索参数之间的相互作用,并为选择最有利的条件以获得最大产量和纯度提供信息。最大产量和纯度所需的 PEG 浓度取决于 IgG(4)浓度;然而,14%至 20% w/v、pH 6.5 的浓度可获得最佳的产量和纯度水平。高通量方法的应用使得可以在不到 1 克的材料下检查 1,155 个条件。在如此短的时间内获得的见解水平表明微孔实验在快速确定关键生物工艺操作的适当处理条件方面具有强大的功能。