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Identifying Amino Acid Overproducers Using Rare-Codon-Rich Markers
Published on: June 24, 2019
Codon optimization depletes stop codons in alternative reading frames of protein-coding nucleic acid therapeutics
Zheling Liu1, Zhenguang Ying1, Luoan Shen1
1Department of Neurology, The Second Affiliated Hospital of Zhejiang University School of Medicine, Life Sciences Institute, Zhejiang University, Hangzhou 310009, China.
Abstract:
Out-of-frame translation events, arising from ribosomal frameshifting or noncanonical initiation, are an unavoidable feature of translation. Their consequences depend on the distribution of stop codons in alternative reading frames, which determines the permissiveness of those frames: whether out-of-frame translation terminates quickly or generates extended products. Using quantitative dual-fluorescence reporters, we show that these stop codons function as molecular checkpoints that terminate out-of-frame translation. Genome-wide analysis across 10 organisms reveals that natural coding sequences maintain dense stop codon distributions in alternative frames, with a median spacing of approximately 20 amino acids. Codon optimization, the standard method for enhancing translation, systematically depletes this safeguard. Because all three stop codons (UAA, UAG, UGA) begin with uridine, and optimal human codons exclude uridine from third positions, stop codons in the -1 reading frame become structurally impossible in codon-optimized sequences. Analysis of 120 therapeutic sequences, including FDA-approved COVID-19 messenger RNA (mRNA) vaccines, confirms widespread -1 frame stop codon depletion: out-of-frame products average 164 amino acids, sixfold longer than in natural human genes. Strategic restoration of stop codons through synonymous substitutions eliminates detectable out-of-frame products by mass spectrometry while preserving the intended protein. Although such products and immune responses have been detected in COVID-19 mRNA vaccine recipients, there is no evidence they cause clinical harm; nonetheless, our approach offers a simple way to eliminate them through informed sequence design alone, without changes to manufacturing or regulatory frameworks. Our findings establish stop codon distribution as a critical design parameter for protein-coding nucleic acid therapeutics.
Insights
Out-of-frame translation produces unintended proteins, but stop codons act as safeguards. Restoring stop codons in therapeutic sequences eliminates these products without affecting the intended protein.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Out-of-frame translation is an inherent biological process.
- Stop codon distribution in alternative reading frames dictates the length of unintended translation products.
- Codon optimization, used to enhance protein expression, often removes essential stop codons.
Purpose of the Study:
- To investigate the role of stop codons in controlling out-of-frame translation.
- To analyze stop codon distribution in natural and engineered coding sequences.
- To develop a strategy for eliminating unintended translation products in nucleic acid therapeutics.
Main Methods:
- Quantitative dual-fluorescence reporters to monitor out-of-frame translation.
- Genome-wide analysis across 10 organisms.
- Mass spectrometry to detect out-of-frame products in therapeutic sequences.
Main Results:
- Natural coding sequences have dense stop codon distributions, limiting out-of-frame products.
- Codon-optimized sequences, including mRNA vaccines, show depleted stop codons, leading to longer unintended products.
- Restoring stop codons via synonymous substitutions eliminated detectable out-of-frame products while maintaining protein integrity.
Conclusions:
- Stop codon distribution is a critical, overlooked parameter in designing synthetic nucleic acids.
- Informed sequence design can eliminate unintended translation products without altering manufacturing or regulatory processes.
- This strategy enhances the safety profile of protein-coding nucleic acid therapeutics.
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