ORIGINAL RESEARCH article
Front. Bioeng. Biotechnol.
Sec. Synthetic Biology
Codon Deoptimization of Multispecific Biologics Reduces Mispairing During Transient Mammalian Protein Expression
Provisionally accepted- Sanofi US, Cambridge, United States
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Abstract Codon optimization is utilized in biologics design to maximize protein expression. Selecting the host organism's most frequently used codons for each amino acid can significantly enhance recombinant protein expression yields. However, non-optimal codons in mRNA can be critical for functional protein production through inducing pauses in or attenuating protein translation. In our study, we have investigated the eKect of deoptimizing serine codons in biologics by shifting them from the five most frequently used codons to the least (TCG). Rare serine codons were strategically inserted into the coding sequences of the constant regions in a trispecific antibody (Protein 1), a bispecific antibody (Protein 2), and multiple non-proprietary bispecific antibodies. We observed that inserting 1-2 rare serine codons within an open reading frame led to expression changes that reduced the formation of mispaired 2x light chain and half-molecule species. Protein purity was drastically increased by incorporating two deoptimized serine codons into a single chain. Notably, we observed a negative correlation between total protein expression yield and final product purity. Internal Taken together, our work demonstrates that incorporation of deoptimized serine codons into a single chain can significantly influence multispecific biologic pairing and enhance final product purity. Our findings align with existing literature showing that rare codon usage modulates translation kinetics and protein folding. Future investigation is warranted to enable a priori identification of the rate-limiting chain in multispecific biologics, thereby guiding strategic codon deoptimization prior to expression.
Keywords: antibody, biologics, Bispecific, Codon optimization/deoptimization, Multispecific
Received: 07 Jan 2026; Accepted: 12 Feb 2026.
Copyright: © 2026 Chang, Ma, Guo, Hu, Mix, Tang, Wong, Bric-Furlong, Lennon, Hall and Hoffmann. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Timothy Z. Chang
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