Modeling ribosome dwell times and relationship with tRNA loading and codon usage in mammals (Ribosome Profiling)
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ABSTRACT:
PROVIDER: PRJNA521742 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8557420.fastq.gz | Fastqsanger.gz | |||
| SRR8557430.fastq.gz | Fastqsanger.gz | |||
| SRR8557440.fastq.gz | Fastqsanger.gz | |||
| SRR8557450.fastq.gz | Fastqsanger.gz | |||
| SRR8557460.fastq.gz | Fastqsanger.gz |
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Project description:Protein translation depends on mRNA-specific initiation, elongation, and termination rates. While the regulation of ribosome elongation is well studied in bacteria and yeast, less is known in higher eukaryotes. Here, we combined ribosome and tRNA profiling to investigate the relations between ribosome elongation rates, (aminoacyl-) tRNA levels and codon usage in mammals. We modeled codon-specific ribosome dwell times and translation fluxes from ribosome profiling, considering pair-interactions between ribosome sites. In mouse liver, the model revealed site and codon specific dwell times, as well as codon pair-interactions clustering by amino acids. While translation fluxes varied significantly across diurnal time and feeding regimen, codon dwell times were highly stable, and conserved in human. Fasting had no effect on codon dwell times in mouse liver. Profiling of total and aminoacylated tRNAs revealed highly heterogeneous levels with specific isoacceptor patterns and a correlation with codon usage. tRNAs for isoleucine, asparagine, aspartate and arginine were lowly loaded and conserved in fasted mice. Finally, codons with low levels of charged tRNAs and high codon usage relative to tRNA abundance exhibited long dwell times. Together, these analyses pave the way towards understanding the complex relation between tRNA loading, codon usage and ribosome dwell times in mammals.
2020-03-26 | GSE126383 | GEO
Project description:Protein translation depends on mRNA-specific initiation, elongation, and termination rates. While the regulation of ribosome elongation is well studied in bacteria and yeast, less is known in higher eukaryotes. Here, we combined ribosome and tRNA profiling to investigate the relations between ribosome elongation rates, (aminoacyl-) tRNA levels and codon usage in mammals. We modeled codon-specific ribosome dwell times and translation fluxes from ribosome profiling, considering pair-interactions between ribosome sites. In mouse liver, the model revealed site and codon specific dwell times, as well as codon pair-interactions clustering by amino acids. While translation fluxes varied significantly across diurnal time and feeding regimen, codon dwell times were highly stable, and conserved in human. Fasting had no effect on codon dwell times in mouse liver. Profiling of total and aminoacylated tRNAs revealed highly heterogeneous levels with specific isoacceptor patterns and a correlation with codon usage. tRNAs for isoleucine, asparagine, aspartate and arginine were lowly loaded and conserved in fasted mice. Finally, codons with low levels of charged tRNAs and high codon usage relative to tRNA abundance exhibited long dwell times. Together, these analyses pave the way towards understanding the complex relation between tRNA loading, codon usage and ribosome dwell times in mammals.
2020-03-26 | GSE126382 | GEO
Project description:Modeling ribosome dwell times and relationship with tRNA loading and codon usage in mammals (tRNA Profiling)
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Project description:We develop a model for ribosome-protected fragment (RPF) spectra that accounts for the local codon context-dependent variation of peptide elongation times and fragment processing biases. We use a Marquardt algorithm for non-linear regression with maximum likelihood (ML) like statistics to fit the RPF sequencing data. Taking advantage of the factorial character of the present model, we reconstruct the parameters adhering to an ideal, unbiased RPF spectrum.
2021-04-23 | GSE145571 | GEO
Project description:The ribosome-associated quality control (RQC) is a surveillance system for aberrant translation, sensing ribosome collisions. Although the molecular mechanism has been extensively studied, the endogenous targets of RQC in human cells were poorly understood. Here, starting from the study of codon specificity of eukaryotic termination factor eRF1, we unexpectedly find that misrecognition of UUA sense codon by eRF1 leads to ribosome collisions and provides the source of RQC substrates in humans. eRF1-selective Monosome-Seq and Disome-Seq reveal that eRF1 recruitment to ribosome was not restricted to the stop codons but also the sub-cognate sense codons, including the UUA codon. The UUA misrecognition by eRF1 causes ribosome collision without termination reaction. Remarkably, Disome-Seq with the depletion of ASCC3 and 4EHP, key factors in RQC, showed that ribosome stalled at UUA codons are the predominant sub-populations rescued by RQC. Failure to resolve ribosome collisions by RQC triggers p38 phosphorylation and upregulation of stress response transcription factor ATF3. This study presents the impact of sense codon misrecognition by the termination factor on translation homeostasis in human cells.
2024-09-18 | GSE275336 | GEO
Project description:Codon usage bias is a universal feature of eukaryotic and prokaryotic genomes and has been proposed to regulate translation efficiency, accuracy and protein folding based on the assumption that codon usage affects translation dynamics. The role of codon usage in regulating translation, however, is not clear and has been challenged by recent ribosome profiling studies. Here we used a Neurospora cell-free translation system to directly monitor the velocity of mRNA translation. We demonstrated that the use of preferred codons enhances the rate of translation elongation, whereas non-optimal codons slow translation. In addition, codon usage regulates ribosome traffic on the mRNA. These conclusions were supported by ribosome profiling results in vitro and in vivo with substrate mRNAs manipulated to increase signal over background noise. We further show that codon usage plays an important role in regulating protein function by affecting co-translational protein folding. Together, these results resolve a long-standing fundamental question and demonstrate the importance of codon usage on protein folding.
2015-07-18 | GSE71032 | GEO
Project description:The uneven use of synonymous codons in the transcriptome regulates the efficiency and fidelity of protein translation rates. Yet, the importance of this codon bias on regulating cell state-specific expression programs is currently debated. Here, we asked whether the gene expression program in the well-defined cell states of self-renewal and differentiation in embryonic stem cells is driven by optimized codon usage. Using ribosome and transcriptome profiling, we identified distinct codon signatures for human self-renewing and differentiating embryonic stem cells. One driver for the cell state-specific codon bias was the genomic GC-content of the differentially expressed genes and thus, determined by transcription rather than translation. However, by measuring the codon frequencies at the ribosome’s active sites interacting with transfer RNAs (tRNA), we discovered that the wobble position tRNA modification inosine strongly influenced the codon optimization in self-renewing embryonic stem cells. This effect was conserved in mice and independent of the differentiation stimulus. In summary, we newly reveal how translational mechanisms based on RNA modifications can shape optimized codon usage in embryonic stem cells.
2019-05-17 | GSE112085 | GEO
Project description:The uneven use of synonymous codons in the transcriptome regulates the efficiency and fidelity of protein translation rates. Yet, the importance of this codon bias on regulating cell state-specific expression programs is currently debated. Here, we asked whether the gene expression program in the well-defined cell states of self-renewal and differentiation in embryonic stem cells is driven by optimized codon usage. Using ribosome and transcriptome profiling, we identified distinct codon signatures for human self-renewing and differentiating embryonic stem cells. One driver for the cell state-specific codon bias was the genomic GC-content of the differentially expressed genes and thus, determined by transcription rather than translation. However, by measuring the codon frequencies at the ribosome’s active sites interacting with transfer RNAs (tRNA), we discovered that the wobble position tRNA modification inosine strongly influenced the codon optimization in self-renewing embryonic stem cells. This effect was conserved in mice and independent of the differentiation stimulus. In summary, we newly reveal how translational mechanisms based on RNA modifications can shape optimized codon usage in embryonic stem cells.
2019-05-17 | GSE123608 | GEO
Project description:Ribosome Profiling was used to evaluated whether changes in abundance of tRNAIleUAU and tRNAIleGAU would affect codon dependent translation and quantify dwell times over isoleucyl codons
2023-04-01 | GSE172354 | GEO
Project description:Estimation of peptide elongation times from ribosome profiling spectra
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