通过综合实验设计(ixDoE)优化基于细胞的生物测定-实用指南。

J. Solzin, K. Eppler, B. Knapp, H. Buchner, E. Bluhmki
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引用次数: 2

摘要

对于过程优化,实验设计(DoE)长期以来一直是一种比一次一个因素方法更强大的策略。然而,DoE并没有被广泛应用,特别是在基于细胞的生物测定开发领域,尽管众所周知,复杂的相互作用经常存在。我们认为,由于成本、努力和复杂性,生物制药制造商不愿超越标准做法。因此,我们引入了集成DoE (ixDoE)方法,目标是在生物测定环境中更智能地使用do,特别是在优化资源和时间方面。在标准实践中,需要执行3到4个独立的do,而我们的ixDoE方法只包含来自单个实验集的必要统计推断。因此,我们提倡一种创新的ixDoE方法,并辅以合适的统计分析策略,并将其作为从基础研究到生物制药行业的典型生物测定发展的实用指南。
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Optimising cell-based bioassays via integrated design of experiments (ixDoE) - A practical guide.
For process optimisation Design of Experiments (DoE) has long been established as a more powerful strategy than a One Factor at a Time approach. Nevertheless, DoE is not widely used especially in the field of cell-based bioassay development although it is known that complex interactions often exist. We believe that biopharmaceutical manufacturers are reluctant to move beyond standard practices due to the perceived costs, efforts, and complexity. We therefore introduce the integrated DoE (ixDoE) approach to target a smarter use of DoEs in the bioassay setting, specifically in optimising resources and time. Where in a standard practice 3 to 4 separate DoEs would be performed, our ixDoE approach includes the necessary statistical inference from only a single experimental set. Hence, we advocate for an innovative, ixDoE approach accompanied by a suitable statistical analysis strategy and present this as a practical guide for a typical bioassay development from basic research to biopharmaceutical industry.
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