five

Selective translational control of cellular and viral mRNAs by RPS3 mRNA binding

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE217181
下载链接
链接失效反馈
官方服务:
资源简介:
RPS3, a universal core component of the 40S ribosomal subunit, interacts with mRNA at the entry channel. Whether RPS3 mRNA-binding contributes to specific mRNA translation and ribosome specialization in mammalian cells is unknown. Here we mutated RPS3 mRNA-contacting residues R116, R146 and K148 and report their impact on cellular and viral translation. R116D weakened cap-proximal initiation and promoted leaky scanning, while R146D had the opposite effect. Additionally, R146D and K148D displayed contrasting effects on start-codon fidelity. Translatome analysis uncovered common differentially translated genes of which the downregulated set bears long 5’UTR and weak AUG context, suggesting a stabilizing role during scanning and AUG selection. We identified an RPS3-dependent regulatory sequence (RPS3RS) in the sub-genomic 5’UTR of SARS-CoV-2 consisting of a CUG initiation codon and a downstream element that is also the viral transcription regulatory sequence (TRS). Furthermore, RPS3 mRNA-binding residues were essential for SARS-CoV-2 NSP1-mediated inhibition of host translation and for its ribosomal binding. Intriguingly, NSP1-induced mRNA degradation was also reduced in R116D cells, indicating that mRNA decay occurs in the ribosome context. Thus, RPS3 mRNA-binding residues have multiple translation regulatory functions and are exploited by SARS-CoV-2 in various ways to influence host and viral mRNA translation and stability. We used CRISPR-Cas9 mediated mutagenesis in mammalian cells and modified endogenous RPS3 R116, R146 and K148 amino acid residues to aspartic acids. For global translation analysis, the collected samples were merged to create the High translated fractions (3+ ribosomes). Equivalent RNA concentrations of Input and High translated ribosome were taken for the library preparation for MARS-Seq.
创建时间:
2023-04-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作