Large Molecule Research, Pharma Research and Early Development, Roche Innovation Center Munich, Germany.
GE Healthcare, Uppsala, Sweden.
J Pharm Biomed Anal. 2018 May 30;154:57-65. doi: 10.1016/j.jpba.2018.03.007. Epub 2018 Mar 6.
Previously we have introduced two SPR-based assay principles (dual-binding assay and bridging assay), which allow the determination of two out of three possible interaction parameters for bispecific molecules within one assay setup: two individual interactions to both targets, and/or one simultaneous/overall interaction, which potentially reflects the inter-dependency of both individual binding events. However, activity and similarity are determined by comparing report points over a concentration range, which also mirrors the way data is generated by conventional ELISA-based methods So far, binding kinetics have not been specifically considered in generic approaches for activity assessment. Here, we introduce an improved slope-ratio model which, together with a sensorgram comparison based similarity assessment, allows the development of a detailed, USP-conformal ligand binding assay using only a single sample concentration. We compare this novel analysis method to the usual concentration-range approach for both SPR-based assay principles and discuss its impact on data quality and increased sample throughput.
此前,我们已经介绍了两种基于 SPR 的分析原理(双结合分析和桥接分析),它们允许在一个分析设置中确定双特异性分子的三个可能相互作用参数中的两个:与两个靶标的两个单独相互作用,和/或一个同时/整体相互作用,这可能反映了两个单独结合事件的相互依赖性。然而,活性和相似性是通过比较浓度范围内的报告点来确定的,这也反映了传统基于 ELISA 的方法生成数据的方式。到目前为止,结合动力学在活性评估的通用方法中并没有被特别考虑。在这里,我们引入了一种改进的斜率比模型,该模型与基于传感器图比较的相似性评估相结合,允许使用单个样品浓度开发详细的、符合 USP 的配体结合分析。我们将这种新的分析方法与基于 SPR 的两种分析原理的常用浓度范围方法进行了比较,并讨论了它对数据质量和提高样品通量的影响。