iCodon
iCodon predicts and manipulates mRNA stability by optimizing codon composition to modulate steady-state gene expression.
Key Features:
- Synonymous codon substitution: Introduces synonymous codon substitutions into coding sequences to alter codon composition.
- mRNA stability prediction: Predicts mRNA stability based on specific codon compositions and codon optimality.
- Optimization and deoptimization: Generates more stable (optimized) or less stable (deoptimized) mRNA variants that encode identical proteins.
- Species-specific transcriptomes: Optimized for four vertebrate transcriptomes: mouse, human, frog, and fish.
- Translation-dependent mechanism: Accounts for codon optimality operating in a translation-dependent manner across species.
- Empirical validation correlation: Predictive capabilities correlate with expression in fluorescent reporter assays and endogenous genes in human cells and zebrafish embryos.
- Link to steady-state expression: Explicitly links codon composition and mRNA stability to steady-state gene expression levels.
Scientific Applications:
- Gene expression tuning: Fine-tunes gene expression levels in experimental constructs by modulating mRNA stability via codon choice.
- Comparative transcriptomics: Studies codon optimality and translation-dependent effects across vertebrate species (mouse, human, frog, fish).
- Reporter and endogenous analysis: Designs and interprets fluorescent reporter assays and analyzes endogenous gene expression in human cells and zebrafish embryos.
- Biotechnology and therapeutics: Supports design of genetic constructs for biotechnological applications, therapeutic purposes, and vaccine development by controlling mRNA stability.
Methodology:
Introduces synonymous codon substitutions and predicts mRNA stability from codon composition using species-specific optimizations for mouse, human, frog, and fish transcriptomes.
Topics
Details
- Tool Type:
- library, web application
- Programming Languages:
- R
- Added:
- 9/27/2021
- Last Updated:
- 9/27/2021
Operations
Publications
Medina-Muñoz SG, Diez M, Castellano LA, da Silva Pescador G, Wu Q, Bazzini AA. iCodon: ideal codon design for customized gene expression. Unknown Journal. 2021. doi:10.1101/2021.05.06.442969.
Links
Repository
https://github.com/santiago1234/iCodonIssue tracker
https://github.com/santiago1234/iCodon/issues