Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA.
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Methods Mol Biol. 2022;2491:195-216. doi: 10.1007/978-1-0716-2285-8_11.
Membrane proteins are favored drug targets and antibody therapeutics represent the fastest-growing category of pharmaceuticals. However, there remains a need for rapid and effective approaches for the discovery of antibodies that recognize membrane proteins to develop a robust clinical pipeline for targeted therapeutics. The challenges associated with recombinant expression of membrane proteins make whole cell screening techniques desirable, as these strategies allow presentation of the target membrane proteins in their native conformations. Here, we describe a workflow that employs both adherent cell-based and suspension cell-based whole cell panning methodologies to enrich for specific binders within a yeast-displayed antibody library. The first round of selection consists of an adherent cell-based approach, wherein a diverse library is panned over target-expressing mammalian cell monolayers in order to debulk the naïve library. Subsequent rounds involve the use of suspension cell-based approaches, facilitated with magnetic-activated cell sorting (MACS) or fluorescence-activated cell sorting (FACS), to achieve further library enrichment. Finally, we describe a high-throughput approach to screen target binding and specificity of individual clones isolated from selection campaigns.
膜蛋白是首选的药物靶点,抗体疗法是增长最快的药物类别之一。然而,仍然需要快速有效的方法来发现识别膜蛋白的抗体,以建立针对治疗的强大临床管道。与膜蛋白的重组表达相关的挑战使得全细胞筛选技术成为理想的选择,因为这些策略允许以天然构象呈现靶膜蛋白。在这里,我们描述了一种工作流程,该流程结合了贴壁细胞和悬浮细胞全细胞淘选方法,从酵母展示的抗体文库中富集特定的结合物。第一轮选择包括基于贴壁细胞的方法,其中在表达靶标的哺乳动物细胞单层上淘选多样化的文库,以减少原始文库的数量。后续轮次涉及使用悬浮细胞方法,通过磁激活细胞分选(MACS)或荧光激活细胞分选(FACS)来实现进一步的文库富集。最后,我们描述了一种高通量方法,用于筛选从选择活动中分离出的单个克隆的靶结合和特异性。