Discovery Attribute Sciences, Discovery Research, Amgen Inc., Thousand Oaks, CA, USA.
Eli Lilly and Company, Lilly Biotechnology Center, San Diego, CA, USA.
Anal Biochem. 2020 Nov 15;609:113974. doi: 10.1016/j.ab.2020.113974. Epub 2020 Sep 30.
Antibody-based therapeutics targeting membrane proteins have evolved as a major modality for the treatment of cancer, inflammation and autoimmune diseases. There are numerous challenges, ranging from desired epitope expression to reliable binding/functional assays which are associated with developing antibodies for this target class. Specifically, having a robust methodology for characterizing antibody interaction with a membrane protein target is essential for providing guidance on dosing, potency and thus expected efficacy. Fluorescence-activated cell sorting (FACS) has been commonly used to characterize antibodies binding to membrane protein targets. FACS provides information about the antibody-receptor complex (antibody bound to cells) and the apparent equilibrium dissociation constant (K) is elucidated by fitting the antibody-receptor binding isotherm as a function of total antibody concentration to a nonlinear regression model. Conversely, Kinetic Exclusion Assay (KinExA) has been used to measure solution-based equilibrium dissociation constant (K) of antibodies. Here, K is determined by measuring the free antibody concentration at equilibrium in a series of solutions in which the antibody is at constant concentration and the receptor (either in the membrane or the cell) is titrated. We measured the binding affinity of the anti-CD20 antibody, Rituximab, using both FACS and KinExA. There was ~25-fold difference in the binding affinity measured by these two techniques. We have explored this discrepancy through additional experiments around the mathematical framework involved in the analysis of these two different binding assays. Finally, our study concluded that KinExA enables accurate measurement of the K for strong protein-protein interactions (sub-nanomolar values) compared to FACS.
基于抗体的治疗药物针对膜蛋白已成为治疗癌症、炎症和自身免疫性疾病的主要手段。从所需表位的表达到与开发该靶类别的抗体相关的可靠结合/功能测定,存在许多挑战。具体而言,对于表征抗体与膜蛋白靶标的相互作用,拥有稳健的方法至关重要,这可为给药、效力以及预期疗效提供指导。荧光激活细胞分选(FACS)已被广泛用于表征与膜蛋白靶标结合的抗体。FACS 提供有关抗体-受体复合物(与细胞结合的抗体)的信息,并且通过将抗体-受体结合等温线拟合为总抗体浓度的非线性回归模型来阐明表观平衡解离常数(K)。相反,动力学排除测定(KinExA)已用于测量抗体的溶液平衡解离常数(K)。在这里,通过在一系列溶液中测量平衡时的游离抗体浓度来确定 K,其中抗体的浓度保持不变,而受体(在膜或细胞中)则进行滴定。我们使用 FACS 和 KinExA 测量了抗 CD20 抗体利妥昔单抗的结合亲和力。这两种技术测量的结合亲和力相差约 25 倍。我们通过围绕这两种不同结合测定分析中涉及的数学框架进行的额外实验来探索这种差异。最后,我们的研究得出结论,与 FACS 相比,KinExA 能够准确测量强蛋白-蛋白相互作用(亚纳摩尔值)的 K。