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- W3158578676 abstract "Abstract Messenger RNA (mRNA) stability substantially impacts steady-state gene expression levels in a cell. mRNA stability, in turn, is strongly affected by codon composition in a translation dependent manner across species, through a mechanism termed codon optimality. We have developed iCodon (www.iCodon.org), an algorithm for customizing mRNA expression through the introduction of synonymous codon substitutions into the coding sequence. iCodon is optimized for four vertebrate transcriptomes: mouse, human, frog, and fish. Users can predict the mRNA stability of any coding sequence based on its codon composition and subsequently generate more stable (optimized) or unstable (deoptimized) variants encoding for the same protein. Further, we show that codon optimality predictions correlate with expression levels using fluorescent reporters and endogenous genes in human cells and zebrafish embryos. Therefore, iCodon will benefit basic biological research, as well as a wide range of applications for biotechnology and biomedicine." @default.
- W3158578676 created "2021-05-10" @default.
- W3158578676 creator A5067621634 @default.
- W3158578676 date "2021-06-21" @default.
- W3158578676 modified "2023-09-23" @default.
- W3158578676 title "iCodon: ideal codon design for customized gene expression" @default.
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- W3158578676 doi "https://doi.org/10.21203/rs.3.rs-598844/v1" @default.
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