Abstract

Yeast cell surface display (YSD) has been used to engineer various proteins, including antibodies. Directed evolution, which subjects a gene to iterative rounds of mutagenesis, selection and amplification, is useful for protein engineering. In vivo continuous mutagenesis, which continuously diversifies target genes in the host cell, is a promising tool for accelerating directed evolution. However, combining in vivo continuous evolution and YSD is difficult because mutations in the gene encoding the anchor proteins may inhibit the display of target proteins on the cell surface. In this study, we have developed a modified YSD method that utilises SpyTag/SpyCatcher-based in vivo protein ligation. A nanobody fused with a SpyTag of 16 amino acids and an anchor protein fused with a SpyCatcher of 113 amino acids are encoded by separate gene cassettes and then assembled via isopeptide bond formation. This system achieved a high display efficiency of more than 90%, no intercellular protein ligation events, and the enrichment of target cells by cell sorting. These results suggested that our system demonstrates comparable performance with conventional YSD methods; therefore, it can be an appropriate platform to be integrated with in vivo continuous evolution.

Details

Title
Development of a yeast cell surface display method using the SpyTag/SpyCatcher system
Author
Kajiwara Kaho 1 ; Aoki Wataru 2 ; Koike Naoki 3 ; Ueda Mitsuyoshi 2 

 Kyoto University, Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033) 
 Kyoto University, Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto, Japan (GRID:grid.258799.8) (ISNI:0000 0004 0372 2033); JST, CREST, Tokyo, Japan (GRID:grid.419082.6) (ISNI:0000 0004 1754 9200) 
 TechnoPro, Inc. TechnoPro R&D, Company, Tokyo, Japan (GRID:grid.419082.6) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2532421200
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.