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一种定制的 ÄKTA avant 配置,可在一系列工艺规模上实现自动化的并行蛋白质纯化。

A custom ÄKTA avant configuration enabling automated parallel protein purification over a range of process scales.

机构信息

Discovery Biology East - Protein Sciences, Bristol Myers Squibb, 100 Binney St. Cambridge Ma, 02142, United States.

Discovery Biology East - Protein Sciences, Bristol Myers Squibb, 100 Binney St. Cambridge Ma, 02142, United States.

出版信息

Protein Expr Purif. 2021 Jun;182:105842. doi: 10.1016/j.pep.2021.105842. Epub 2021 Feb 11.

DOI:10.1016/j.pep.2021.105842
PMID:33582289
Abstract

Biologics are making up an increasing proportion of the global drug discovery pipeline. Supporting the expansion of biologics drug discovery requires higher throughput techniques for the expression, purification and characterization of both therapeutic candidates and reagents. Here we describe the programming and development of a novel ÄKTA™ instrument configuration that enables automated parallel and multistep chromatography over a range of scales. The programming strategy is offered as open source and the custom plumbing configuration was developed with off the shelf components available from Cytiva. Combined with high flow resin technology we show how this strategy can reduce the duration of a standard antibody purification process by 4.5X, from 4.5 h down to 1 h per run. An automated loading strategy was also developed to enable true walk away application of up to 24 samples and around the clock processing capability. The techniques used here to accomplish parallel multistep chromatography can be duplicated or modified for specific applications and represent a straightforward and cost-effective means to eliminate protein purification bottlenecks.

摘要

生物制剂在全球药物发现管道中所占的比例越来越大。支持生物制剂药物发现的扩展需要更高的通量技术,用于表达、纯化和表征治疗候选物和试剂。在这里,我们描述了一种新型 ÄKTA™ 仪器配置的编程和开发,该配置可实现多种规模的自动并行和多步色谱法。该编程策略作为开源提供,定制管道配置使用 Cytiva 提供的现成组件开发。结合高通量树脂技术,我们展示了如何通过这种策略将标准抗体纯化过程的持续时间从 4.5 小时缩短到每个运行 1 小时,缩短 4.5 倍。还开发了一种自动化加载策略,以实现多达 24 个样品的真正无人值守应用和全天候处理能力。这里用于实现并行多步色谱法的技术可以复制或修改以用于特定应用,是消除蛋白质纯化瓶颈的一种简单且具有成本效益的方法。

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