Codon bias and heterologous protein expression.

By Claes Gustafsson, Sridhar Govindarajan, Jeremy Minshull. Trends in Biotechnology, 2004

1,361 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/eeb6893a77a70c5e8d91fe48a014ecd69dd6317d

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Citations in the corpus

JCat: a novel tool to adapt codon usage of a target gene to its potential expression host (2005, background): “In order to succeed in the expression of genes outside their natural context, several problems were experienced (4).”
Recombinant protein expression in Escherichia coli: advances and challenges (2014, background): “This deficiency may lead to amino acid misincorporation and/or truncation of the polypeptide, thus affecting the heterologous protein expression levels (which will be low at best) and/or its activity (Gustafsson et al., 2004).”
Gene Designer: a synthetic biology tool for constructing artificial DNA segments (2006, background): “Each designed sequence is then passed through subsequent iterations to ensure a match with additional design criteria such as filtering out mRNA secondary structures and DNA repeats, eliminating or incorporating restriction sites and avoiding methylation sites that overlap methylation sensitive rest”
Synonymous but not the same: the causes and consequences of codon bias (2010, background): “Synonymous mutations are important in applied settings as well — the use of particular codons can increase the expression of a transgene by more than 1,000-fol”
mRNA-based therapeutics — developing a new class of drugs (2014, positive): “Replacing rare codons with syn-onymous frequent codons improves translational yield 50 because reuse of the same tRNA accelerates translation owing to amino-acylation of tRNAs in the vicinity of the ribosomes 51 .”
Codon optimality is a major determinant of mRNA stability (2015, background): “The overall result is not surprising, as codon bias has been well studied (Gustafsson et al., 2004); however, the pattern of codon usage demonstrates that certain classes of mRNAs predominately use either optimal or non-optimal codons (Figures 3A and 3B; overrepresented codons in yellow,…”
Codon Bias as a Means to Fine-Tune Gene Expression (2015, methodology): “This assumption was conﬁrmed by the observation that optimizing the overall codon sequence to more frequent codons does, at least in some cases, result in increased heterologous gene expression (Gustafsson et al., 2004).”
DNA vaccines: ready for prime time? (2008, background): “One of the most effective ways to increase protein production is through the use of codon optimizatio”