Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A regression-based analysis of ribosome-profiling data reveals a conserved complexity to mammalian translation

ABSTRACT: A fundamental goal of genomics is to identify the complete set of expressed proteins. Automated annotation strategies rely on assumptions about protein-coding sequences (CDSs), e.g., they are conserved, do not overlap, and exceed a minimum length. However, an increasing number of newly discovered proteins violate these rules. Here we present an experimental and analytical framework, based on ribosome profiling and linear regression, for systematic identification and quantification of translation. Application of this approach to lipopolysaccharide-stimulated mouse dendritic cells and HCMV-infected human fibroblasts identifies thousands of novel CDSs, including micropeptides and variants of known proteins, that bear the hallmarks of canonical translation and exhibit comparable translation levels and dynamics to annotated CDSs. Remarkably, many translation events are identified in both mouse and human cells even when the peptide sequence is not conserved. Our work thus reveals an unexpected complexity to mammalian translation suited to provide both conserved regulatory or protein-based functions. 37 ribosome footprint samples from mouse BMDCs across a time course of LPS stimulation and in the presence or absence of translation inhibitors cycloheximide, harringtonine, or lactimidomycin. A mock (non-LPS stimulated) time course is also included, collected in the presence of cycloheximide. Two replicates are available for the LPS timecourse under CHX treatment.

ORGANISM(S): Mus musculus

SUBMITTER: Alexander Fields

PROVIDER: E-GEOD-74139 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Ribosome profiling of Tunicamycin-treated and -untreated 17Cl1 cells

Project description:Ribosome profiling (RiboSeq) analysis of murine 17 clone 1 (17Cl-1) cells with and without Tunicamycin treatment. Tunicamycin is known to induce the unfolded protein response, and the objective of this work was to assess the impact of Tunicamycin on cellular translation. Additionally, we sought to assess the impact of differing library preparation methods by using three separate approaches: flash freezing, 1X Cycloheximide, and 100X Cycloheximide.

2021-11-09 | E-MTAB-5391 | biostudies-arrayexpress

Positional proteomics reveals differences in N-terminal proteoform stability

Project description:To understand the impact of alternative translation initiation on a proteome, we performed the first study on protein turnover using positional proteomics and ribosome profiling to distinguish between N-terminal proteoforms of individual genes. Overall, we monitored the stability of 1,941 human N-terminal proteoforms, including 147 N-terminal proteoform pairs that originate from alternative translation initiation, alternative splicing or incomplete processing of the initiator methionine. Ribosome profiling of lactimidomycin and cycloheximide treated human Jurkat T-lymphocytes

2015-10-23 | E-GEOD-74279 | biostudies-arrayexpress

Advancing Trypanosoma brucei genome annotation through ribosome profiling and spliced leader mapping

Project description:Since the initial publication of the trypanosomatid genomes, curation has been ongoing. Here we apply the technique of ribosome profiling to Trypanosoma brucei, identifying 223 new coding regions by virtue of ribosome occupancy in the corresponding transcripts. A small number of these putative genes correspond to extra copies of previously annotated genes but 85% are novel. The median size of these novels CDSs is small (74 aa) indicating that past annotation work has excelled at detecting large CDSs. Of the unique CDSs discovered here, over half have candidate orthologues in other trypanosomatid genomes, most of which were not yet annotated as genes. Still, approximately one-third of the new CDSs were found only in T. brucei subspecies. When combined with RNA-seq and spliced leader mapping, we were able to definitively revise the start sites for 430 CDSs as compared to the current gene models. Such data also allowed us to use a structured approach to eliminate 701 putative genes as protein-coding. Finally, the data pointed to several regions of the genome that had sequence errors that altered coding region boundaries. Ribosome profiling and mRNA libraries were constructed in triplicate from in vitro PCF and in vivo BF lifestages of theT. brucei Treu927 and in vitro T. brucei Lister427, to evaluate role of translational gene regulation

2015-12-22 | E-GEOD-72463 | biostudies-arrayexpress

Translation Inhibitors Cause Abnormalities in Ribosome Profiling Experiments

Project description:Ribosome profiling and high-throughput sequencing provide unprecedented opportunities for the analysis of mRNA translation. Using this novel method, several studies have demonstrated the widespread role of short upstream reading frames in translational control as well as slower elongation at the beginning of open reading frames in response to stress. Based on the initial studies, the importance of adding or omitting translation inhibitors, such as cycloheximide, was noted as it markedly affected ribosome coverage profiles. For that reason, many recent studies omitted translation inhibitors in the culture medium. Here, we investigate the influence of ranging cycloheximide concentrations on ribosome profiles in Saccharomyces cerevisiae and demonstrate that increasing the drug concentration can overcome some of the artifacts. We subjected cells to various manipulations and show that neither oxidative stress nor heat shock nor amino acid starvation affect translation elongation. Instead, the observations in the initial studies are the result of cycloheximide-inflicted artifacts. Likewise, we find little support for short upstream reading frames to be involved in wide-spread protein synthesis regulation under stress conditions. Our study highlights the need for better standardization of ribosome profiling methods. Ranging concentrations of cycloheximide and various stress contitions were tested with Ribo-seq

2014-08-01 | E-GEOD-59573 | biostudies-arrayexpress

Ribosome profiling of mouse hepatitis virus (MHV)-infected and uninfected 17Cl1 cells

Project description:Ribosome profiling (RiboSeq) analysis of murine 17 clone 1 (17Cl-1) cells with and without MHV infection. We sought to assess the impact of differing library preparation methods by using three separate approaches: flash freezing, 1X cycloheximide pretreatment, and 100X cycloheximide pretreatment.

2021-11-09 | E-MTAB-6278 | biostudies-arrayexpress

Ribosome profiling of Japanese encephalitis virus infected Neuro2a cells

Project description:Ribosome profiling (Ribo-Seq) and RNA-Seq analysis of mouse neuroblastoma (Neuro2a) cells infected with Japanese Encephalitis Virus (JEV) P20778 Vellore strain. At 18 h post infection (p.i.), infected cells were treated with either cycloheximide (translation elongation inhibitor) or in combination with harringtonine (translation initiation inhibitor). Ribo-Seq libraries were prepared using a broad range of fragment lengths (25 to 70 nucleotides) and deep sequenced. This allowed for estimation of ribosomal frameshifting efficiency and discovery of a novel upstream open reading frame (uORF) in JEV along with perturbations in ribosome-associated tRNA levels upon JEV infection.

2021-07-05 | E-MTAB-9352 | biostudies-arrayexpress

Transcription profiling of human hormone treated MCF7 breast cancer cells in the presence or absence of cycloheximide

Project description:Estrogen receptors (ERs), which mediate the proliferative action of estrogens in breast cancer cells, are ligand-dependent transcription factors that regulate expression of their primary target genes through several mechanisms. In addition to direct binding to cognate DNA sequences, ERs can be recruited to DNA through other transcription factors (tethering), or affect gene transcription through modulation of signaling cascades by non-genomic mechanisms of action. To better characterize the mechanisms of gene regulation by estrogens, we have identified more than 700 putative primary and more than 1500 putative secondary target genes of estradiol in MCF7 cells through microarray analysis performed in the presence or absence of the translation inhibitor cycloheximide. Experiment Overall Design: RNA samples were collected 24 h after treatment of MCF7 cells with vehicle or 17{beta}-estradiol (25 nM). Cells were pre-treated 1 h before E2 stimulation with cycloheximide (CHX, 10 microg/ml). Microarray analysis was performed with four replicates for each condition.

2008-06-16 | E-GEOD-8597 | biostudies-arrayexpress

Species-specific metabolic reprogramming in human and mouse microglia during inflammatory pathway induction

Project description:Metabolic reprogramming is a hallmark of the immune cells in response to inflammatory stimuli. This metabolic process involves a switch from oxidative phosphorylation (OXPHOS)to glycolysis, or alterations in other metabolic pathways. However, most of the experimental findings have been acquired in murine immune cells and little is known about the metabolic reprogramming of human microglia. In this study, we investigated the transcriptomic and metabolic profiles of mouse and iPSC-derived human microglia challenged with the TLR4 agonist LPS. We found that both species displayed a metabolic shift and an overall increased glycolytic gene signature in response to LPS treatment. The metabolic reprogramming was characterized by the upregulation of hexokinases in mouse microglia and phosphofructokinases in human microglia. This study provides the first direct comparison of energy metabolism between mouse and human microglia, highlighting the species-specific pathways involved in immunometabolism and the importance of considering these differences in translational research.

2023-09-02 | PXD043836 | Pride

RiboSeq of murine 17Cl-1 cells infected at MOI 10 with MHV-A59, compared to mock-infected controls, harvested at 5 and 8 hpi, plus a control tunicamycin-treated sample.

Project description:Murine 17Cl-1 cells were infected with the model Betacoronavirus mouse hepatitis virus (MHV) strain A59 and subjected to ribosome profiling to observe changes in the host translatome in infected cells compared to mock-infected cells. Samples were harvested at 5 and 8 hpi by flash-freezing, without cycloheximide pre-treatment. RNase I treatment was carried out, following which ribosomes and enclosed RNA were isolated by centrifugation through a sucrose cushion. RNA was extracted, ribosomal RNA was removed using Illumina's RiboZero kit, and remaining RNA was gel purified to select fragments 25-35nt long. Fragments were cloned into adapters using the TruSeq small RNA adapter kit and sequenced on Illumina NextSeq, then differential translation efficiency analysis was carried out on the data deposited data. One uninfected sample was treated with 2ug/mL tunicamycin for 6 hours before harvesting as a positive control for unfolded protein response activation.

2021-05-18 | E-MTAB-8650 | biostudies-arrayexpress

Immediate-Early and Delayed Primary Response Genes are Distinct in Function and Genomic Architecture

Project description:Transcriptional profiling time course of serum deprived quiescent human T98G cells follwing platelet derived growth factor (PDGF) stimulation in the absence and presence of the translation inhibitor, cycloheximide. RNA was harvested at 0.5, 2, and 4 hr following PDGF treatment. Keywords: time course Two-color microarrays with dye-swap; 3 biological replicates per condition, independently grown and harvested. One replicate per array.

2010-06-10 | E-GEOD-8315 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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