Codon usage optimization in pluripotent embryonic stem cells [tRNA sequencing]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA509375 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8311130_1.fastq.gz | Fastqsanger.gz | |||
| SRR8311130_2.fastq.gz | Fastqsanger.gz | |||
| SRR8311131_1.fastq.gz | Fastqsanger.gz | |||
| SRR8311131_2.fastq.gz | Fastqsanger.gz | |||
| SRR8311124_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 16 |
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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:Codon usage optimization in pluripotent embryonic stem cells
| PRJNA509373 | ENA
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:Codon usage optimization in pluripotent embryonic stem cells [RNA-seq]
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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 | GSE126382 | 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 | GSE126383 | GEO
Project description:Optimization of codon translation rates via tRNA modifications maintains proteome integrity
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Project description:Modeling ribosome dwell times and relationship with tRNA loading and codon usage in mammals (tRNA Profiling)
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Project description:Proteins begin to fold as they emerge from translating ribosomes. The kinetics of ribosome transit along a given mRNA can influence nascent chain folding, but the extent to which individual codon translation rates impact proteome integrity remains unknown. Here, we show that slower decoding of discrete codons elicits widespread protein aggregation in vivo. Using ribosome profiling, we find that loss of anticodon wobble uridine (U34) modifications in a subset of tRNAs leads to ribosome pausing at their cognate codons in S. cerevisiae and C. elegans. Yeast cells lacking U34 modifications exhibit gene expression hallmarks of proteotoxic stress and accumulate aggregates of endogenous proteins with key cellular functions. Moreover, these cells are severely compromised in clearing stress-induced protein aggregates. Overexpression of hypomodified tRNAs alleviates ribosome pausing, concomitantly restoring protein homeostasis. Our findings demonstrate that modified U34 is an evolutionarily conserved accelerator of decoding and reveal an unanticipated role for tRNA anticodon modifications in maintaining proteome integrity. Ribosome profiling of wild-type and tRNA modification-deficient yeast and nematodes. Yeast samples were generated in various growth conditions (rich medium versus stress induced by treatment with diamide or rapamycin) and paired mRNA-Seq was performed on a subset of samples. Dataset contains three biological replicates for yeast samples and two biological replicates for nematode samples.
2015-06-04 | E-GEOD-67387 | biostudies-arrayexpress
Project description:Type I polyketide synthases (T1PKSs) hold an enormous potential as a rational production platform for the biosynthesis of speciality chemicals. However, despite the great progress in this field, the heterologous expression of PKSs remains a major challenge. One of the first measures to improve heterologous gene expression can be codon optimization. Although controversial, choosing the wrong codon optimization strategy can have detrimental effects on protein and product levels. In this study, we analyzed 11 different codon variants of an engineered T1PKS and investigated in a systematic approach their influence on heterologous expression in Corynebacterium glutamicum, Escherichia coli, and Pseudomonas putida. Our best performing codon variants exhibited a minimum 50-fold increase in PKS protein levels, which also enables the production of an unnatural polyketide in each of the hosts. Furthermore, we developed a free online tool (https://basebuddy.lbl.gov) that offers transparent and highly customizable codon optimization with up-to-date codon usage tables. Here, we not only highlight the significance of codon optimization but also establish the groundwork for high-throughput assembly and characterization of PKS pathways in alternative hosts.
2023-09-01 | PXD042749 | Pride