Acid-sensing ion channels (ASICs) have emerged as important, albeit challenging therapeutic targets for pain, stroke, etc. One approach to developing therapeutic agents could involve the generation of functional antibodies against these channels. To select such antibodies, we used channels assembled in nanodiscs, such that the target ASIC1a has a configuration as close as possible to its natural state in the plasma membrane. This methodology allowed selection of functional antibodies that inhibit acid-induced opening of the channel in a dose-dependent way. In addition to regulation of pH, these antibodies block the transport of cations, including calcium, thereby preventing acid-induced cell death in vitro and in vivo. As proof of concept for the use of these antibodies to modulate ion channels in vivo, we showed that they potently protect brain cells from death after an ischemic stroke. Thus, the methodology described here should be general, thereby allowing selection of antibodies to other important ASICs, such as those involved in pain, neurodegeneration, and other conditions.

Generating and improving antibodies and peptides that bind specifically to membrane protein targets such as ion channels and G protein-coupled receptors (GPCRs) can be challenging using established selection methods. Current strategies are often limited by difficulties in the presentation of the antigen or the efficiency of the selection process. Here, we report a method for obtaining antibodies specific for whole cell membrane-associated antigens which combines a cell–cell interaction format based on yeast display technology with fluorescence-activated cell sorting of dual fluorescent complexes. Using this method, we were able to direct the affinity maturation of an antagonist antibody specific for the proton-gated ion channel ASIC1a and showed that both the affinity and potency were improved. We were also able to use this method to do kinetic selections to generate clones with better dissociation profiles. In addition, this method was employed successfully to handle the difficult problem of selecting antibodies specific to a GPCR target, the mu-opioid receptor.

Combinatorial antibody libraries not only effectively reduce antibody discovery to a numbers game, but enable documentation of the history of antibody responses in an individual. The severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic has prompted a wider application of this technology to meet the public health challenge of pandemic threats in the modern era. Herein, a combinatorial human antibody library constructed 20 years before the coronavirus disease 2019 (COVID‐19) pandemic is used to discover three highly potent antibodies that selectively bind SARS‐CoV‐2 spike protein and neutralize authentic SARS‐CoV‐2 virus. Compared to neutralizing antibodies from COVID‐19 patients with generally low somatic hypermutation (SHM), these three antibodies contain over 13–22 SHMs, many of which are involved in specific interactions in their crystal structures with SARS‐CoV‐2 spike receptor binding domain. The identification of these somatically mutated antibodies in a pre‐pandemic library raises intriguing questions about the origin and evolution of these antibodies with respect to their reactivity with SARS‐CoV‐2.