Cited by 50RNA and protein synthesis mechanismsMicrobial Metabolic Engineering and BioproductionFungal and yeast genetics research

Codon harmonization—Going beyond the speed limit for protein expression

Open access
Mignon, Charlotte, Mariano, Natacha, Stadthagen, Gustavo, Lugari, Adrien, Lagoutte, Priscillia, Donnat, Stéphanie, Chenavas, Sylvie, Perot, Cyril +2 more·2018·FEBS Letters

Abstract

Codon usage distribution has been soundly used by nature to fine tune protein biogenesis. Alteration of the mRNA structure or sequential scheduling of codons can profoundly affect translation, thus altering protein yield, functionality, solubility, and proper folding. Building on these observations, here, we present an evaluation of different recently designed algorithms of sequence adaptation based on Codon Adaptation Index (CAI) profiling. The first algorithm globally harmonizes synonymous codons in the original sequence in full respect to the heterologous expression host codon usage. The second recodes the sequence in accordance with the native sequence CAI profile. Our data, generated on three model proteins, highlights the importance to consider gene recoding as a parameter itself for recombinant protein expression improvement.

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  • At the transcriptional level, codon harmonization has largely improved expression of antibody fragments.

    “At the transcriptional level, the concept of “codon harmonization”, a sophisticated version of the codon usage optimization, has largely improved the expression of antibodies fragments [60,103].”

    From Evolution of Escherichia coli Expression System in Producing Antibody Recombinant Fragments (2020) · cites this paper as [103]

    In “Expression of CAI profile optimized sequences” (page unavailable), the paper reports that codon-optimized sequences markedly increased protein expression of scFv D1.3, an antibody fragment. It does not establish an improvement at the transcriptional level: the reported outcome is protein abundance, and the paper frames codon usage chiefly in terms of translation. Its direct result also concerns one antibody fragment, not antibody fragments generally. (LLM, conf=0.86)

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  1. Yu J, Amores J, Sebe N, Radeva P and Tian Q (2008) Distance learning for similarity estimation. IEEE Trans Pattern Anal Mach Intell 30, 451-462.

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Authors
Mignon, C., Mariano, N., Stadthagen, G., Lugari, A., Lagoutte, P., Donnat, S., Chenavas, S., Perot, C., Sodoyer, R., & Werle, B.
Affiliations
  • BIOASTER (FR)
  • CAD4Bio Montbonnot France
  • OTECI Lyon France
Corresponding author
Werle, Bettina
Venue
FEBS Letters
Publisher
Wiley
Published
2018-04-16
Volume
592
Issue
9
Pages
1554-1564
ISSN
  • 0014-5793 (ISSN-L)
  • 1873-3468
OpenAlex
W2795780418
Cited by
50
References
3
Citations by year
2026: 7 · 2025: 6 · 2024: 6 · 2023: 6 · 2022: 3 · 2021: 6 · 2020: 11 · 2019: 3 · 2018: 2
FWCI
1.96
Type
journal article
Language
en
Open access
Locations
  • FEBS Letters (publishedVersion)
  • PubMed (publishedVersion)
Funders
investissement d'avenir (Grant NO. ANR-10-AIRT-03, ANR-10-AIRT-03)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Keywords
codon usage, codon adaptation index, heterologous expression, translation efficiency, synonymous codons, recombinant protein yield
MeSH terms
Algorithms, Base Sequence, Codon, Gene Expression Regulation, Solubility, Protein Biosynthesis, Computational Biology

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