Cellular response to small molecules that selectively stall protein synthesis by the ribosome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA501880 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8136740.fastq.gz | Fastqsanger.gz | |||
| SRR8136741.fastq.gz | Fastqsanger.gz | |||
| SRR8136742.fastq.gz | Fastqsanger.gz | |||
| SRR8136743.fastq.gz | Fastqsanger.gz | |||
| SRR8136744.fastq.gz | Fastqsanger.gz |
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Project description:We use ribosome profiling to compare the selectivity of two small molecules, PF-06446846 and PF-06378503 that inhibits translation of their target by selectively inducing ribosome-stalling in a nascent chain sequence dependent manner.
2019-03-06 | GSE121981 | GEO
Project description:Identifying small molecules that inhibit protein synthesis by selectively stalling the ribosome constitutes a new strategy for therapeutic development. Compounds that inhibit the translation of PCSK9, a major regulator of low-density lipoprotein cholesterol, have been identified that reduce LDL cholesterol in preclinical models and that affect the translation of only a few off-target proteins. Although some of these compounds hold potential for future therapeutic development, it is not known how they impact the physiology of cells or ribosome quality control pathways. Here we used a genome-wide CRISPRi screen to identify proteins and pathways that modulate cell growth in the presence of high doses of a selective PCSK9 translational inhibitor, PF-06378503 (PF8503). The two most potent genetic modifiers of cell fitness in the presence of PF8503, the ubiquitin binding protein ASCC2 and helicase ASCC3, bind to the ribosome and protect cells from toxic effects of high concentrations of the compound. Surprisingly, translation quality control proteins Pelota (PELO) and HBS1L sensitize cells to PF8503 treatment. In genetic interaction experiments, ASCC3 acts together with ASCC2, and functions downstream of HBS1L. Taken together, these results identify new connections between ribosome quality control pathways, and provide new insights into the selectivity of compounds that stall human translation that will aid the development of next-generation selective translation stalling compounds to treat disease.
| S-EPMC6436758 | biostudies-literature
Project description:Translational control is a widespread mode of gene regulation in organisms ranging from bacteria to mammals. Computational models posit that translational control of protein expression during elongation is exerted through a traffic jam of multiple ribosomes at ribosome pause sites on mRNAs. Yet neither the in vivo frequency of ribosome traffic jams nor the contribution of such traffic jams to protein expression has been measured in any organism. Here we show that upon starvation for single amino acids in the bacterium Escherichia coli, ribosome traffic jams are pervasive across the transcriptome, but they occur at only a subset of codons cognate to the limiting amino acid, and their severity is determined by the translation efficiency of mRNAs. Surprisingly, a computational model based on the observed traffic jams at ribosome pause sites is quantitatively inconsistent with measured protein synthesis rates. By comparison, a model incorporating abortion of protein synthesis at ribosome pause sites in addition to ribosome traffic jams predicts protein synthesis rate with higher accuracy. Consistent with the latter model, a significant fraction of the nascent polypeptides at ribosome pause sites is degraded through the activity of the transfer-messenger RNA during amino acid starvation in E. coli. Our work provides a minimal, experimentally-constrained model for predicting protein expression from ribosome dynamics, and it suggests the existence of a trade-off between the cellular translational capacity and the processivity of protein synthesis in vivo. 6 samples for ribosome profiling and 5 samples for total mRNA profiling
2014-05-15 | E-GEOD-51052 | biostudies-arrayexpress
Project description:Ribosome profiling is a widespread tool for studying translational dynamics in human cells. Its central assumption is that ribosome footprint density on a transcript quantitatively reflects protein synthesis. Here, we test this assumption using pulsed-SILAC (pSILAC) high-accuracy targeted proteomics. We focus on multiple myeloma cells exposed to bortezomib, a first-line chemotherapy and proteasome inhibitor. In the absence of drug effects, we found that direct measurement of protein synthesis by pSILAC correlated well with indirect measurement of synthesis from ribosome footprint density. This correlation, however, broke down under bortezomib-induced stress. By developing a statistical model integrating longitudinal proteomic and mRNA-seq measurements, we found that proteomics could directly detect global alterations in translational rate caused by bortezomib; these changes are not detectable by ribosomal profiling alone. Further, by incorporating pSILAC data into a gene expression model, we predict cell-stress specific proteome remodeling events. These results demonstrate that pSILAC provides an important complement to ribosome profiling in measuring proteome dynamics. Timecourse experiment with six points over 48hr after bortezomib exposure in MM.1S myeloma cells. mRNA-seq and ribosome profiling data at each time point.
2017-05-18 | E-GEOD-69047 | biostudies-arrayexpress
Project description:Ribosome pausing slows down translation and can affect protein synthesis. Improving translation efficiency can therefore be of commercial value. Here, we investigated the occurrence of ribosome pausing during amylase secretion by the industrial production organism Bacillus subtilis under semi fed-batch fermentation conditions. We first assessed our ribosome profiling setup by inducing ribosome stalling at isoleucine codons using the antibiotic mupirocin, and found a pause preference for isoleucine codons preceded by E and P site codons with guanosine residues in their first nucleotide position. Interestingly, when we applied standard ribosomal profiling conditions we found again an enrichment of guanosine residues in the E and P site of ribosome pause sites, but this time also upstream of the ribosome pause site. This sequence motif deviates from previously described ribosome pausing motifs. For the highly expressed amylase gene amyM several strong ribosome pausing sites were detected, which remained present during the 64-hour long fermentation, and were neither related to rare codons nor to secondary protein structures. When surveying the genome, an interesting finding was the presence of strong ribosome pausing sites in several toxins genes. These potential ribosome stall sites may function in preventing inadvertent activity in the cytosol.
2024-01-01 | GSE250313 | GEO
Project description:Ribosome pausing slows down translation and can affect protein synthesis. Improving translation efficiency can therefore be of commercial value. Here, we investigated the occurrence of ribosome pausing during amylase secretion by the industrial production organism Bacillus subtilis under semi fed-batch fermentation conditions. We first assessed our ribosome profiling setup by inducing ribosome stalling at isoleucine codons using the antibiotic mupirocin, and found a pause preference for isoleucine codons preceded by E and P site codons with guanosine residues in their first nucleotide position. Interestingly, when we applied standard ribosomal profiling conditions we found again an enrichment of guanosine residues in the E and P site of ribosome pause sites, but this time also upstream of the ribosome pause site. This sequence motif deviates from previously described ribosome pausing motifs. For the highly expressed amylase gene amyM several strong ribosome pausing sites were detected, which remained present during the 64-hour long fermentation, and were neither related to rare codons nor to secondary protein structures. When surveying the genome, an interesting finding was the presence of strong ribosome pausing sites in several toxins genes. These potential ribosome stall sites may function in preventing inadvertent activity in the cytosol.
2024-01-01 | GSE250312 | GEO
Project description:Selectively expressed RNA molecules as a versatile tool for functionalized cell targeting
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Project description:Although many clinically important antibiotics inhibit bacterial ribosomes, the mechanisms by which bacterial cells rescue ribosomes stalled by antibiotics remain poorly understood. Ribosome stalling leads to collisions that recruit ribosome quality control (RQC) factors that recycle the ribosome subunits and target nascent proteins for degradation. Surprisingly, loss of known RQC factors in E. coli does not lead to significant antibiotic sensitivity, even though antibiotics stall ribosomes and induce collisions, suggesting the existence of additional, uncharacterized RQC mechanisms. Here we report a novel mechanism for ribosome quality control (RQC) in bacteria in which the DExH-box ATPase HrpA splits stalled ribosomes into subunits. HrpA selectively acts on collided ribosomes and its activity is dependent on ATP hydrolysis. The cryo-EM structure of HrpA bound to collided ribosomes reveals insight into its selectivity and mechanism: the C-terminal domain of HrpA senses the collision and its helicase domain bind mRNA downstream of the ribosomes, where it likely exerts a pulling force that destabilizes the stalled ribosome. These studies highlight the importance of ribosome splitting as a highly conserved RQC mechanism across all three domains of life and identify an important pathway in proteobacteria that allows proteobacteria to tolerate ribosome-targeting antibiotics.
2024-10-10 | GSE270401 | GEO
Project description:Ribosome profiling is a widespread tool for studying translational dynamics in human cells. Its central assumption is that ribosome footprint density on a transcript quantitatively reflects protein synthesis. Here, we test this assumption using pulsed-SILAC (pSILAC) high-accuracy targeted proteomics. We focus on multiple myeloma cells exposed to bortezomib, a first-line chemotherapy and proteasome inhibitor. In the absence of drug effects, we found that direct measurement of protein synthesis by pSILAC correlated well with indirect measurement of synthesis from ribosome footprint density. This correlation, however, broke down under bortezomib-induced stress. By developing a statistical model integrating longitudinal proteomic and mRNA-seq measurements, we found that proteomics could directly detect global alterations in translational rate caused by bortezomib; these changes are not detectable by ribosomal profiling alone. Further, by incorporating pSILAC data into a gene expression model, we predict cell-stress specific proteome remodeling events. These results demonstrate that pSILAC provides an important complement to ribosome profiling in measuring proteome dynamics.
2017-05-18 | GSE69047 | GEO
Project description:Coupled protein synthesis and ribosome-guided piRNA processing on mRNAs
| PRJNA649449 | ENA