Yeast Surface Display Platform for Rapid Selection of an Antibody Library via Sequential Counter Antigen Flow Cytometry

Antibodies (Basel). 2022 Sep 27;11(4):61. doi: 10.3390/antib11040061.

Abstract

Yeast surface display techniques have been increasingly employed as a tool for both the discovery and affinity maturation of antibodies. In this study, we describe the use of yeast surface display for the selection and affinity maturation of antibodies targeted to small molecules (haptens). In this approach, we coupled 4 to 15 sequential cycles of error-prone PCR to introduce heterogeneity into the sequence of an 12F6 scFv antibody that binds to chelated uranium; the resulting full-length constructs were combined to create a yeast-displayed scFv-library with high diversity. We also developed a stringent selection technique utilizing fluorescence-activated cell sorting; this was based on sequentially dropping the target antigen concentration, while concomitantly increasing the concentration of potential cross-reactive haptens in subsequent selection cycles. As a proof of the efficacy this approach, we confirmed that the antibodies identified via this approach retained binding to the target antigen (UO22+ complexed to a chelator), while binding with lesser affinity than the parental scFv to a structurally related haptens (the same chelator complexed to other metal ions). As will be described in this report, these scFv variants perform more efficiently in sensor-based assay than the parental 12F6 antibody. Combining the generation of scFv libraries via error-prone PCR with selection of yeast-displayed antibodies by fluorescence activated cell sorting will provide an efficient new method for the isolation of scFvs and other binding proteins with high affinity and specificity.

Keywords: affinity maturation; antibody-based biosensors; equilibrium binding constants; error prone PCR; flow cytometry; hexavalent uranium (UO22+); single chain variable fragments (scFv); yeast surface display.

Grants and funding

This research was funded by Tulane University; Department of Biochemistry grant DE-SC0004959.