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Updated: Jul 11, 2025

Bacterial Peptide Display for the Selection of Novel Biotinylating Enzymes
Published on: October 3, 2019
Genetic Code Expansion and a Photo-Cross-Linking Reaction Facilitate Ribosome Display Selections for Identifying a
Takuto Furuhashi1,2, Kensaku Sakamoto3,4, Akira Wada1,2,3
1Graduate School of Medical Life Science, Yokohama City University, 1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama 230-0045, Kanagawa, Japan.
This study introduces an improved ribosome display technique using genetic code expansion to efficiently select high- and low-affinity peptides, overcoming limitations of traditional methods for peptide epitope discovery.
Area of Science:
- Biotechnology
- Molecular Biology
- Synthetic Biology
Background:
- Cell-free molecular display techniques are used for peptide selection but face challenges with translational termination and non-specific peptide amplification.
- These limitations hinder the effective selection of low-affinity peptides, crucial for various applications.
Purpose of the Study:
- To develop an advanced ribosome display method for selecting peptide epitopes that bind to monoclonal antibodies.
- To overcome limitations in peptide selection by employing genetic code expansion with synthetic amino acids.
Main Methods:
- Established a ribosome display scheme incorporating genetic code expansion via synthetic X-tRNAUAG (X = Tyr, Trp, or p-benzoyl-l-phenylalanine (pBzo-Phe)) to reprogram UAG codons.
- Assessed in vitro translation efficiency with X-tRNAUAG and performed selections using Trp-tRNAUAG and pBzo-Phe-tRNAUAG with photo-irradiation.
Main Results:
- Demonstrated efficient identification of affinity peptides irrespective of UAG codons in coding sequences using Trp-tRNAUAG.
- Successfully selected sub-micromolar low-affinity peptide epitopes using pBzo-Phe-tRNAUAG and photo-induced covalent bond formation with antibodies.
Conclusions:
- The developed ribosome display technique with genetic code expansion effectively selects diverse affinity peptides, including low-affinity ones.
- This method overcomes traditional limitations and can advance peptide-based research and antibody discovery.
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