Ribosome profiling of whi3 mutant yeast
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
PROVIDER: GSE51164 | GEO | 2013/09/26
SECONDARY ACCESSION(S): PRJNA221377
REPOSITORIES: GEO
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Project description:In general, RNA-binding proteins act to modulate gene expression at transcript level through degradation or at protein level through translation. To elucidate the effect of Whi3, a yeast RNA binding protein, on gene expression, we performed ribosome profiling experiment on whi3 mutant and wildtype cells. Comparison ribosome profiling and RNA-seq data between whi3 mutant and wildtype cells
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Project description:Elucidating the extent and consequences of genetic differences between humans is essential for understanding phenotypic diversity and personalized medicine. Although variation in RNA levels, transcription factor binding and chromatin have been explored, little is known about global variation in translation and its genetic determinants among humans. We used ribosome profiling, RNA sequencing, and mass spectrometry to perform an integrated analysis in lymphoblastoid cell lines from a diverse group of individuals. We find significant differences in RNA levels, translation, and protein abundance suggesting diverse mechanisms of personalized gene expression control. Combined analysis of RNA expression and ribosome occupancy improves the identification of individual protein level differences. Finally, we identify genetic differences that specifically modulate ribosome occupancy - many of these differences lie close to start codons and upstream ORFs. Our results reveal a new level of gene expression variation among humans and indicate that genetic variants can cause changes in protein levels through effects on translation. Ribosome profiling and RNA sequencing experiments from human lymphoblastoid cells
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Project description:Ribosome binding proteins function broadly in protein synthesis, gene regulation and cellular homeostasis but the complete complement of functional ribosome-bound proteins remains unknown. Using quantitative mass spectrometry we identified Late-annotated short open reading frame 2 (Lso2) as a ribosome-associated protein that is broadly conserved in eukaryotes. Genome-wide crosslinking and immunoprecipitation of Lso2 and its human ortholog CCDC124 recovered 25S rRNA in a region near the A site that overlaps the GTPase activating center. Consistent with this location, Lso2 also crosslinked to most tRNAs. Ribosome profiling of yeast lacking LSO2 (lso2Δ) revealed global translation defects during recovery from stationary phase with translation of most genes reduced more than 4-fold. Ribosomes accumulated at start codons, were depleted from stop codons, and showed codon-specific changes in occupancy in lso2Δ. These defects, and the conservation of the specific ribosome-binding activity of Lso2/CCDC124, indicate broadly important functions in translation and physiology.
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Project description:Ribosome queuing is a fundamental phenomenon suggested to be related to topics such as genome evolution, synthetic biology, gene expression regulation, intracellular biophysics, and more. However, this phenomenon hasn't been quantified yet at a genomic level. Nevertheless, methodologies for studying translation (e.g. ribosome footprints) are usually calibrated to capture only single ribosome protected footprints (mRPFs) and thus limited in their ability to detect ribosome queuing. On the other hand, most of the models in the field assume and analyze a certain level of queuing. Here we present an experimental-computational approach for studying ribosome queuing based on sequencing of RNA footprints extracted from pairs of ribosomes (dRPFs) using a modified ribosome profiling protocol. We combine our approach with traditional ribosome profiling to generate a detailed profile of ribosome traffic. The data are analyzed using computational models of translation dynamics. The approach was implemented on the Saccharomyces cerevisiae transcriptome. Our data shows that ribosome queuing is more frequent than previously thought: the measured ratio of ribosomes within dRPFs to mRPFs is 0.2-0.35, suggesting that at least one to five translating ribosomes is in a traffic jam; these queued ribosomes cannot be captured by traditional methods. We found that specific regions are enriched with queued ribosomes, such as the 5’-end of ORFs, and regions upstream to mRPF peaks, among others. While queuing is related to higher density of ribosomes on the transcript (characteristic of highly translated genes), we report cases where traffic jams are relatively more severe in lowly expressed genes and possibly even selected for. In addition, our analysis demonstrates that higher adaptation of the coding region to the intracellular tRNA levels is associated with lower queuing levels. Our analysis also suggests that the Saccharomyces cerevisiae transcriptome undergoes selection for eliminating traffic jams. Thus, our proposed approach is an essential tool for high resolution analysis of ribosome traffic during mRNA translation and understanding its evolution.
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Project description:Meiosis is a complex developmental process that generates haploid cells from diploid progenitors. We measured mRNA abundance and protein production through yeast sporulation and found strong temporal control for most genes, achieved through both mRNA levels and translational regulation. Monitoring the timing of protein production revealed novel factors involved in recombination and helped to illuminate the molecular basis of the broad restructuring of meiotic cells. We also found a strong increase in noncanonical translation at short open reading frames (sORFs) on unannnotated transcripts and upstream regions of known transcripts (uORFs). Ribosome occupancy at near-cognate uORFs was associated with more efficient ORF translation; while some AUG uORFs, often on regulated leader extensions, acted comptetitively. This work reveals a pervasive role for meiotic translational control and great complexity in genomic coding. Fine mapping of gene expression through meiosis reveals extensive regulation of protein synthesis and widespread non-canonical translation.
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Project description:Human cells have evolved quality control mechanisms to ensure protein homeostasis by detecting and degrading aberrant mRNAs and protein products. A common source of aberrant mRNAs is premature polyadenylation, which can result in non-functional protein products. Translating ribosomes that encounter poly(A) sequences are terminally stalled, followed by ribosome recycling and rapid decay of the truncated nascent polypeptide via the ribosome-associated quality control (RQC). Here, we demonstrate that the conserved RNA-binding E3 ubiquitin ligase Makorin Ring Finger Protein 1 (MKRN1) promotes ribosome stalling at continuous A-tracts during RQC. Using individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP), we show that MKRN1 is positioned upstream of A-rich stretches and poly(A) tails in mRNAs through an interaction with the cytoplasmic poly(A)-binding protein (PABP). Ubiquitin remnant profiling uncovered PABP and ribosomal protein RPS10 as well as additional translational regulators as main substrates of MRKN1. We propose that MKRN1 serves as a first line of poly(A) recognition at the mRNA level to prevent production of erroneous proteins, thus maintaining proteome integrity.
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Project description:Here, we use ribosome-footprint profiing and mRNA-seq to determine the average ribosome density on each gene in S. cerevisiae. We then perform quantitative modeling to identify the molecular determinants of ribosome density. Analysis of S. cerevisiae
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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
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Project description:Here, we use ribosome-footprint profiing and mRNA-seq to determine the average ribosome density on each gene in S. cerevisiae. We then perform quantitative modeling to identify the molecular determinants of ribosome density.
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