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Rare codon recoding for efficient noncanonical amino acid incorporation in mammalian cells.

Wenlong DingWei YuYulin ChenLihui LaoYu FangChengzhu FangHongxia ZhaoBo YangShixian Lin
Published in: Science (New York, N.Y.) (2024)
The ability to genetically encode noncanonical amino acids (ncAAs) has empowered proteins with improved or previously unknown properties. However, existing strategies in mammalian cells rely on the introduction of a blank codon to incorporate ncAAs, which is inefficient and limits their widespread applications. In this study, we developed a rare codon recoding strategy that takes advantage of the relative rarity of the TCG codon to achieve highly selective and efficient ncAA incorporation through systematic engineering and big data-model predictions. We highlight the broad utility of this strategy for the incorporation of dozens of ncAAs into various functional proteins at the wild-type protein expression levels, as well as the synthesis of proteins with up to six-site ncAAs or four distinct ncAAs in mammalian cells for downstream applications.
Keyphrases
  • amino acid
  • big data
  • wild type
  • machine learning