| Literature DB >> 31482640 |
Fabian Hia1, Sheng Fan Yang1, Yuichi Shichino2, Masanori Yoshinaga1, Yasuhiro Murakawa3,4, Alexis Vandenbon5, Akira Fukao6, Toshinobu Fujiwara6, Markus Landthaler7,8, Tohru Natsume9, Shungo Adachi9, Shintaro Iwasaki2,10, Osamu Takeuchi1.
Abstract
Codon bias has been implicated as one of the major factors contributing to mRNA stability in several model organisms. However, the molecular mechanisms of codon bias on mRNA stability remain unclear in humans. Here, we show that human cells possess a mechanism to modulate RNA stability through a unique codon bias. Bioinformatics analysis showed that codons could be clustered into two distinct groups-codons with G or C at the third base position (GC3) and codons with either A or T at the third base position (AT3): the former stabilizing while the latter destabilizing mRNA. Quantification of codon bias showed that increased GC3-content entails proportionately higher GC-content. Through bioinformatics, ribosome profiling, and in vitro analysis, we show that decoupling the effects of codon bias reveals two modes of mRNA regulation, one GC3- and one GC-content dependent. Employing an immunoprecipitation-based strategy, we identify ILF2 and ILF3 as RNA-binding proteins that differentially regulate global mRNA abundances based on codon bias. Our results demonstrate that codon bias is a two-pronged system that governs mRNA abundance.Entities:
Keywords: GC-content; codon bias; codon optimality; mRNA stability; translation efficiency
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Year: 2019 PMID: 31482640 PMCID: PMC6831995 DOI: 10.15252/embr.201948220
Source DB: PubMed Journal: EMBO Rep ISSN: 1469-221X Impact factor: 8.807