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BitesizeBio.com has published a new article entitled “Codon Optimization for Increased Protein Expression”, which sheds light on the most important aspects of how to optimize codon usage to avoid bias in protein expression. Bioscientists, and those interested in the subject can read the complete article the Bitesize Bio website
The article includes several interesting pieces of information, one in particular is that codon bias has a large impact on protein expression. This should be of particular interest to bioscientists because codon bias is often overlooked in synthetic biology and may explain some unexpected results that researchers may observe in their studies.
One of the most important piece of information the article conveys is that help for codon optimization is out there—software tools are available. The best example of this is perhaps found in the following extract:
‘There is little doubt that advances in codon optimization have the potential to significantly improve recombinant protein production and tailored therapy design, including gene therapy and nucleic acid-based vaccines. However, before these applications can be fully realized, a deeper understanding of the effects of codon optimization is needed.’
This article is part of BitesizeBio’s Sponsored Education series, and is produced with the assistance of GenScript. GenScript provide life sciences services and products. With gene synthesis, peptide, protein, antibody and preclinical drug development service capabilities, they are internationally recognized as a leading biotech company specializing in fundamental life sciences research and early-phase drug discovery services.
In discussing the article’s creation, Dr. Amanda Welch, Editor-in-Chief at BitesizeBio.com said, “Codon optimization is often overlooked in synthetic biology and mutational analyses of genes and proteins. This article not only addresses that issue but also provides solutions, which we hope that our readers will use.”
BitesizeBio.com now welcomes comments and questions from readers, in relation to the article, which can be posted on the webpage.
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Release ID: 210970