Bondza Sina, Foy Eleanor, Brooks Jonathan, Andersson Karl, Robinson James, Richalet Pascale, Buijs Jos
Ridgeview Instruments AB, Vänge, Sweden.
Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Front Immunol. 2017 Apr 24;8:455. doi: 10.3389/fimmu.2017.00455. eCollection 2017.
Understanding molecular interactions on immune cells is crucial for drug development to treat cancer and autoimmune diseases. When characterizing molecular interactions, the use of a relevant living model system is important, as processes such as receptor oligomerization and clustering can influence binding patterns. We developed a protocol to enable time-resolved analysis of ligand binding to receptors on living suspension cells. Different suspension cell lines and weakly adhering cells were tethered to Petri dishes with the help of a biomolecular anchor molecule, and antibody binding was analyzed using LigandTracer. The protocol and assay described in this report were used to characterize interactions involving eight cell lines. Experiments were successfully conducted in three different laboratories, demonstrating the robustness of the protocol. For various antibodies, affinities and kinetic rate constants were obtained for binding to CD20 on both Daudi and Ramos B-cells, the T-cell co-receptor CD3 on Jurkat cells, and the Fcγ receptor CD32 on transfected HEK293 cells, respectively. Analyzing the binding of Rituximab to B-cells resulted in an affinity of 0.7-0.9 nM, which is similar to values reported previously for living B-cells. However, we observed a heterogeneous behavior for Rituximab interacting with B-cells, which to our knowledge has not been described previously. The understanding of complex interactions will be facilitated with the possibility to characterize binding processes in real-time on living immune cells. This provides the chance to broaden the understanding of how binding kinetics relate to biological function.
了解免疫细胞上的分子相互作用对于开发治疗癌症和自身免疫性疾病的药物至关重要。在表征分子相互作用时,使用相关的活细胞模型系统很重要,因为受体寡聚化和聚集等过程会影响结合模式。我们开发了一种方案,能够对配体与活悬浮细胞上受体的结合进行时间分辨分析。借助生物分子锚定分子将不同的悬浮细胞系和弱贴壁细胞固定在培养皿上,并使用LigandTracer分析抗体结合情况。本报告中描述的方案和测定方法用于表征涉及八种细胞系的相互作用。实验在三个不同的实验室成功进行,证明了该方案的稳健性。对于各种抗体,分别获得了与Daudi和Ramos B细胞上的CD20、Jurkat细胞上的T细胞共受体CD3以及转染的HEK293细胞上的Fcγ受体CD32结合的亲和力和动力学速率常数。分析利妥昔单抗与B细胞的结合,得到的亲和力为0.7 - 0.9 nM,这与先前报道的活B细胞的值相似。然而,我们观察到利妥昔单抗与B细胞相互作用存在异质性行为,据我们所知,这在以前尚未被描述过。能够在活免疫细胞上实时表征结合过程将有助于理解复杂的相互作用。这为拓宽对结合动力学与生物学功能之间关系的理解提供了机会。