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Codon optimization depletes stop codons in alternative reading frames of protein-coding nucleic acid therapeutics.

Aug 2026 · Proceedings of the National Academy of Sciences of the United States of America · Vol 123 33, pp. e2606609123 · 0 citations · 52 references
Medicine

TL;DR

Analysis of 120 therapeutic sequences, including FDA-approved COVID-19 messenger RNA (mRNA) vaccines, confirms widespread -1 frame stop codon depletion and establishes stop codon distribution as a critical design parameter for protein-coding nucleic acid therapeutics.

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.

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