Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

17 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Redefining the translational status of 80S monosomes

ABSTRACT: Fully assembled ribosomes exist in two populations: polysomes and monosomes. While the former has been studied extensively, to what extent translation occurs on monosomes and its importance for overall translational output remains controversial. Here, we used ribosome profiling to examine the translational status of 80S monosomes in Saccharomyces cerevisiae. We found that the vast majority of 80S monosomes are elongating, not initiating. Further, most mRNAs exhibit some degree of monosome occupancy, with monosomes predominating on nonsense-mediated decay (NMD) targets, upstream open reading frames (uORFs), canonical ORFs shorter than ~590 nucleotides and ORFs for which the total time required to complete elongation is substantially shorter than that required for initiation. Importantly, mRNAs encoding low-abundance regulatory proteins tend to be enriched in the monosome fraction. Our data highlight the importance of monosomes for the translation of highly regulated mRNAs.Â We examined the translational status of single 80S ribosomes using ribosome profiling, and compared these monosome footprints to both polysome ribosome footprints and general ribosome profiling. RNASeq libraries were also prepared from the overall sample input.

ORGANISM(S): Saccharomyces cerevisiae

SUBMITTER: Erin Heyer

PROVIDER: E-GEOD-76117 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Optimization of codon translation rates via tRNA modifications maintains proteome integrity

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

Dual randomization of oligonucleotides to reduce the bias in ribosome-profiling libraries

Project description:Protein translation is at the heart of cellular metabolism and its in-depth characterization is key for many lines of research. Recently, ribosome profiling became the state-of-the-art method to quantitatively characterize translation dynamics at a transcriptome-wide level. However, the strategy of library generation affects its outcomes. Here, we present a modified ribosomeprofiling protocol starting from yeast, human cells and vertebrate brain tissue. We use a DNA linker carrying four randomized positions at its 5â and a reverse-transcription (RT) primer with three randomized positions to reduce artifacts during library preparation. The use of seven randomized nucleotides allows to efficiently detect library-generation artifacts. We find that the effect of polymerase chain reaction (PCR) artifacts is relatively small for global analyses when sufficient input material is used. However, when input material is limiting, our strategy improves the sensitivity of gene-specific analyses. Furthermore, randomized nucleotides alleviate the skewed frequency of specific sequences at the 3â end of ribosome-protected fragments (RPFs) likely resulting from ligase specificity. Finally, strategies that rely on dual ligation show a high degree of gene-coverage variation. Taken together, our approach helps to remedy two of the main problems associated with ribosome-profiling data. This will facilitate the analysis of translational dynamics and increase our understanding of the influence of RNA modifications on translation. Ribosome profiling and mRNA-seq libraries from wt yeast comparing different library preparation approaches using different combinations of randomized and non-randomized linkers and RT primers.

2016-08-01 | E-GEOD-84746 | biostudies-arrayexpress

A dynamic unfolded protein response contributes to the control of cortical neurogenesis

Project description:The cerebral cortex contains layers of neurons sequentially generated by distinct lineage-related progenitors. At the onset of corticogenesis, the first-born progenitors are apical progenitors (APs) whose asymmetric division give birth directly to neurons. Later, they switch to indirect neurogenesis by generating intermediate progenitors (IPs), which give rise to projection neurons of all cortical layers. While a direct lineage relationship between APs and IPs has been established, the molecular mechanism that controls their transition remains elusive. Our data suggest that interfering with codon translation speed triggers endoplasmic reticulum stress and the unfolded protein response (UPR), further impairing the generation of IPs and leading to microcephaly. Moreover, we demonstrate that a progressive downregulation of UPR in cortical progenitors acts as physiological signal to amplify IPs and promotes indirect neurogenesis. Thus, our findings reveal a hitherto unrecognized contribution of UPR to cell fate acquisition during mammalian brain development. Ribosome profiling and RNA-Seq of forebrains from E14.5 mouse embryos from wild type animals and mutants carrying a conditional knockout of ELP3 in cortical progenitors

2015-12-11 | E-GEOD-74683 | biostudies-arrayexpress

Ribosome profiling study of dom34 and hbs1 knockout strains using short (16-nt) and long (28-nt) monosome-protected footprints and disome-protected footprints

Project description:Ribosomes that stall before completing peptide synthesis must be recycled and returned to the cytoplasmic pool. The protein Dom34 and cofactors Hbs1 and Rli1 can dissociate stalled ribosomes in vitro, but the identity of targets in the cell is unknown. Here we use ribosome profiling methodology to reveal a high- resolution molecular characterization of Dom34 function in vivo. We show that Dom34 removes stalled ribosomes from mRNAs that are truncated but, in contrast, does not generally dissociate ribosomes on coding sequences known to trigger stalling, such as polyproline. We also show that Dom34 targets arrested ribosomes near the ends of 3 ? UTRs. These ribosomes appear to gain access to the 3 ? UTR via a mechanism that does not require decoding of the mRNA. These results suggest that Dom34 carries out the important task of rescuing ribosomes found in noncoding regions. 25 samples are included in the study (2 mRNA-Seq samples and 23 ribosome footprint profiling samples). These include wild-type and dom34 or hbs1 knockout strains that were created in a variety of genetic backgrounds, treated with various agents in cell culture (e.g. diamide, 3-AT, or glucose starvation), treated differently during cell lysis (use of cycloheximide vs. other ribosome-stabilizing agents), or prepared in different ways after cell lysis (e.g. retention of short vs. long monosome-protected footprints or disome footprints).

2013-12-19 | E-GEOD-52968 | biostudies-arrayexpress

Redefining the translational status of 80S monosomes

Project description:Fully assembled ribosomes exist in two populations: polysomes and monosomes. While the former has been studied extensively, to what extent translation occurs on monosomes and its importance for overall translational output remains controversial. Here, we used ribosome profiling to examine the translational status of 80S monosomes in Saccharomyces cerevisiae. We found that the vast majority of 80S monosomes are elongating, not initiating. Further, most mRNAs exhibit some degree of monosome occupancy, with monosomes predominating on nonsense-mediated decay (NMD) targets, upstream open reading frames (uORFs), canonical ORFs shorter than ~590 nucleotides and ORFs for which the total time required to complete elongation is substantially shorter than that required for initiation. Importantly, mRNAs encoding low-abundance regulatory proteins tend to be enriched in the monosome fraction. Our data highlight the importance of monosomes for the translation of highly regulated mRNAs.

2016-02-11 | GSE76117 | GEO

Mouse cardiac tissue, polysomes and monosomes: Vehicle treated control vs. 25mg/kg DMNQ

Project description:Translational profiling of mouse cardiac tissue treated with 25mg/kg DMNQ in 10 ml/kg arachis oil over an acute time course (0.5-120 hours) compared to time matched control animals treated with 10ml/kg saline Two colour microarrays with time matched controls vs 25mg/kg DMNQ cardiac tissue. Before microarray analysis RNA separated on a sucrose density gradient into those mRNAs activitly undergoing translation (polysomes) and those not (monosomes) with control monosomes and treated monosomes on one set of arrays, and polysome control and polysome treated on another set of microarrays. The normalized Log2 of the monosomes was subtracted from the respective Log2 of the polysomes (on Series record). Time points studied were 0.5, 1, 2, 12, 24 and 120 hours following dosing, biological replicates n=3 independent animals at each time point, technical replicates (reverse labelling) n<1. One array printed onto two slides (A and B), one replicate per array.

2010-08-06 | E-GEOD-17830 | biostudies-arrayexpress

Mouse cardiac tissue, polysomes and monosomes: Vehicle treated control vs. 15mg/kg doxorubicin

Project description:Translational profiling of mouse cardiac tissue treated with 15mg/kg doxorubicin in 10 ml/kg saline over an acute time course (0.5-120 hours) compared to time matched control animals treated with 10ml/kg saline. Two colour microarrays with time matched controls vs 15mg/kg doxorubicin cardiac tissue. Before microarray analysis, RNA is separated on a sucrose density gradient into those mRNAs activity undergoing translation (polysomes) and those not (monosomes) with control monosomes and treated monosomes on one set of arrays, and polysome control and polysome treated on another set of microarrays. Thealized Log2 of the monosomes was subtracted from the respective Log2 of the polysomes (on Series record). Time points studied were 0.5, 1, 2, 12, 24 and 120 hours following dosing, biological replicates n=3 independent animals at each time point, technical replicates (reverse labelling) n<1. One array printed onto two slides (A and B), one replicate per array.

2010-08-05 | E-GEOD-17823 | biostudies-arrayexpress

Mouse cardiac tissues treated with doxorubicin and DMNQ

Project description:This SuperSeries is composed of the following subset Series: GSE17823: Mouse cardiac tissue, polysomes and monosomes: Vehicle treated control vs. 15mg/kg doxorubicin GSE17826: Mouse cardiac tissue: Vehicle treated control vs. 15mg/kg doxorubicin GSE17830: Mouse cardiac tissue, polysomes and monosomes: Vehicle treated control vs. 25mg/kg DMNQ GSE17915: Mouse cardiac tissue: Vehicle treated control vs. 25mg/kg DMNQ Refer to individual Series

2010-08-05 | E-GEOD-18459 | biostudies-arrayexpress

Genome-Wide Analysis In Vivo of Translation with Nucleotide Resolution Using Ribosome Profiling

Project description:Techniques for systematically monitoring protein translation have lagged far behind methods for measuring mRNA levels. Here we present a ribosome profiling strategy, based on deep sequencing of ribosome protected mRNA fragments, that enables genome-wide investigation of translation with sub-codon resolution. We used this technique to monitor translation in budding yeast under both rich and starvation conditions. These studies defined the protein sequences being translated and found extensive translational control both for determining absolute protein abundance and for responding to environmental stress. We also observed distinct phases during translation involving a large decrease in ribosome density going from early to late peptide elongation as well as wide-spread, regulated initiation at non-AUG codons. Ribosome profiling is readily adaptable to other organisms, making high-precision investigation of protein translation experimentally accessible. Examine replicates of ribosome footprints and mRNA abundance in biological replicates of log-phase growth and acute amino acid starvation

2009-02-12 | E-GEOD-13750 | biostudies-arrayexpress

RNA-seq of total RNA from human adipose tissue stem cells induced to adipogenesis and osteogenesis for 24 hours

Project description:Here we study the modulation of genes during adipogenesis and osteogeneses in adipose tissue-derived stem cells after 24 hours. We sequencing the total RNA and RNA isolated from free, monosome and polysome fractions.

2018-08-24 | E-MTAB-6298 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data