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Effects of codon optimization on coagulation factor IX translation and structure: Implications for protein and gene therapies

  • Aikaterini Alexaki
  • , Gaya K. Hettiarachchi
  • , John C. Athey
  • , Upendra K. Katneni
  • , Vijaya Simhadri
  • , Nobuko Hamasaki-Katagiri
  • , Puja Nanavaty
  • , Brian Lin
  • , Kazuyo Takeda
  • , Darón Freedberg
  • , Dougald Monroe
  • , Joseph R. McGill
  • , Robert Peters
  • , Jacob M. Kames
  • , David D. Holcomb
  • , Ryan C. Hunt
  • , Zuben E. Sauna
  • , Amy Gelinas
  • , Nebojsa Janjic
  • , Michael DiCuccio
  • Haim Bar, Anton A A Komar, Chava Kimchi-Sarfaty
  • Division of Plasma Protein Therapeutics Food and Drug Administration
  • Cleveland State University
  • University of North Carolina at Chapel Hill
  • Bioverativ
  • SomaLogic, Inc.
  • National Institutes of Health (NIH)
  • University of Connecticut

Research output: Contribution to journalArticlepeer-review

61 Scopus citations

Abstract

Synonymous codons occur with different frequencies in different organisms, a phenomenon termed codon usage bias. Codon optimization, a common term for a variety of approaches used widely by the biopharmaceutical industry, involves synonymous substitutions to increase protein expression. It had long been presumed that synonymous variants, which, by definition, do not alter the primary amino acid sequence, have no effect on protein structure and function. However, a critical mass of reports suggests that synonymous codon variations may impact protein conformation. To investigate the impact of synonymous codons usage on protein expression and function, we designed an optimized coagulation factor IX (FIX) variant and used multiple methods to compare its properties to the wild-type FIX upon expression in HEK293T cells. We found that the two variants differ in their conformation, even when controlling for the difference in expression levels. Using ribosome profiling, we identified robust changes in the translational kinetics of the two variants and were able to identify a region in the gene that may have a role in altering the conformation of the protein. Our data have direct implications for codon optimization strategies, for production of recombinant proteins and gene therapies.
Original languageEnglish
Article number15449
JournalScientific Reports
Volume9
Issue number1
DOIs
StatePublished - Dec 1 2019

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