PUBLICATION
iCodon customizes gene expression based on the codon composition
- Authors
- Diez, M., Medina-Muñoz, S.G., Castellano, L.A., da Silva Pescador, G., Wu, Q., Bazzini, A.A.
- ID
- ZDB-PUB-220717-3
- Date
- 2022
- Source
- Scientific Reports 12: 12126 (Journal)
- Registered Authors
- Keywords
- none
- Datasets
- GEO:GSE207584
- MeSH Terms
-
- Humans
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- Mice
- Protein Biosynthesis*
- PubMed
- 35840631 Full text @ Sci. Rep.
Abstract
Messenger RNA (mRNA) stability substantially impacts steady-state gene expression levels in a cell. mRNA stability 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 both mRNA stability using a massive reporter library and expression levels using fluorescent reporters and analysis of endogenous gene expression in zebrafish embryos and/or human cells. Therefore, iCodon will benefit basic biological research, as well as a wide range of applications for biotechnology and biomedicine.
Genes / Markers
Figure Gallery (7 images)
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping