Literature DB >> 32561362

The covalent SNAP tag for protein display quantification and low-pH protein engineering.

Wei Jin1, Bharat Madan1, Brooklyn K Mussman2, Amen T Hailemariam3, Ahmed S Fahad1, Jacy R Wolfe1, Young Do Kwon4, Baoshan Zhang4, Lawrence Shapiro5, Peter D Kwong6, Brandon J DeKosky7.   

Abstract

Yeast display has become an important tool for modern biotechnology with many advantages for eukaryotic protein engineering. Antibody-based peptide interactions are often used to quantify yeast surface expression (e.g., by fusing a target protein to a FLAG, Myc, polyhistidine, or other peptide tag). However, antibody-antigen interactions require high stability for accurate quantification, and conventional tag systems based on such interactions may not be compatible with a low pH environment. In this study, a SNAP tag was introduced to a yeast display platform to circumvent disadvantages of conventional antibody display tags at low pH. SNAP forms a covalent bond with its small-molecule substrate, enabling precise and pH-independent protein display tagging. We compared the SNAP tag to conventional antibody-based peptide fusion and to direct fluorescent domain fusion using antibody fragment crystallizable (Fc) gene libraries as a case study in low pH protein engineering. Our results demonstrated that covalent SNAP tags can effectively quantify protein-surface expression at low pH, enabling the enrichment of Fc variants with increased affinity at pH 6.0 to the neonatal Fc receptor (FcRn). Incorporation of a covalent SNAP tag thus overcomes disadvantages of conventional antibody-based expression tags and enables protein-engineering applications outside of physiological pH.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fc-FcRn; Low pH protein engineering; SNAP; Yeast display

Mesh:

Substances:

Year:  2020        PMID: 32561362      PMCID: PMC7434562          DOI: 10.1016/j.jbiotec.2020.06.011

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  25 in total

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