Ribosome profiling and transcriptome profiling of MCF-7 cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE111866 | GEO | 2018/07/13
REPOSITORIES: GEO
Similar Datasets
Project description:The development of the ribosome profiling (ribo-seq) technique has enabled the measurement of translation at a genome-wide level. There are several variants of the ribosome profiling technique that use different translation inhibitors. The regular ribo-seq utilizes Cycloheximide (CHX), a translation elongation inhibitor to freeze all translating ribosomes. In contrast to CHX, the translation inhibitor lactimidomycin (LTM) and harringtonine (Harr) have a much stronger effect on initiating ribosomes. The use of these inhibitors allows for the global mapping of translating initiating sites (TISs) when they are coupled with ribosome profiling (TI-seq). We have developed a computational tool to detect and/or quantitatively compare translation initiation from TI-seq data, and predict novel ORFs from regular CHX-based ribo-seq data. Two replicates of CHX-based ribo-seq experiments and one Harr based ribo-seq were performed in HEK293 cells for confirming the ORFs predicted using public available data.
2018-01-22 | GSE94460 | GEO
Project description:In the ribosome complex, tRNA is a critical element of mRNA translation. We reported a new technology for profiling ribosome-embedded tRNAs and their modifications. With the method, we generated a comprehensive survey of the quanity and quality of intra-ribosomal tRNAs (Ribo-tRNA-seq). Ribo-tRNA-seq can provide new insights on translation control mechanism in diverse biological contexts.
2018-03-19 | E-MTAB-6576 | biostudies-arrayexpress
Project description:We developed RiboLace, a novel method based on a new puromycin-containing molecule, for the isolation of active ribosomes by means of an antibody-free and tag-free pull-down approach. RiboLace is fast, it works with very low input material and can be easily and rapidly used to enhance Ribo-Seq, obtaining a global snapshot on active ribosome footprints at single nucleotide resolution from eukaryotic in vitro and in vivo systems. Keywords: ribosome profiling, translation, RiboLace, Ribo-Seq, active translation
2018-10-09 | GSE112353 | GEO
Project description:We performed ribosome profiling of polysomes (Poly-RIBOseq) to monitor translation of RNAs associated with polysomes in brain extracts from a mouse model Keywords: ribosome profiling, translation, polysome profiling, Poly-RIBOseq
2018-07-13 | GSE102318 | GEO
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
Project description:We developed RiboLace, a novel method based on a new puromycin-containing molecule, for the isolation of active ribosomes by means of an antibody-free and tag-free pull-down approach. RiboLace is fast, it works with very low input material and can be easily and rapidly used to enhance Ribo-Seq, obtaining a global snapshot on active ribosome footprints at single nucleotide resolution from eukaryotic in vitro and in vivo systems. Keywords: ribosome profiling, translation, RiboLace, Ribo-Seq, active translation
2018-10-09 | GSE102354 | GEO
Project description:Ribosome profiling of MDA-MB-231 cells treated with Silvestrol to monitor transcriptome wide, eIF4A-dependent changes in translation efficiency
2014-09-13 | GSE61375 | GEO
Project description:Ribosome profiling and transcriptome profiling of MCF-7 cells
| PRJNA438445 | ENA
Project description:Prokaryotic genome annotation is highly dependent on automated methods, as manual curation cannot keep up with the exponential growth of sequenced genomes. Current automated techniques depend heavily on sequence context and often underestimate the complexity of the proteome. We developed REPARATION (RibosomeE Profiling Assisted (Re-)AnnotaTION), a de novo algorithm that takes advantage of experimental evidence from ribosome profiling (Ribo-seq) to delineate translated open reading frames (ORFs) in bacteria, independent of genome annotation. Ribo-seq next generation sequencing technique that provides a genome-wide snapshot of the position translating ribosome along an mRNA at the time of the experiment. REPARATION evaluates all possible ORFs in the genome and estimates minimum thresholds to screen for spurious ORFs based on a growth curve model. We applied REPARATION to three annotated bacterial species to obtain a more comprehensive mapping of their translation landscape in support of experimental data. In all cases, we identified hundreds of novel ORFs including variants of previously annotated and novel small ORFs (<71 codons). Our predictions were supported by matching mass spectrometry (MS) proteomics data and sequence conservation analysis. REPARATION is unique in that it makes use of experimental Ribo-seq data to perform de novo ORF delineation in bacterial genomes, and thus can identify putative coding ORFs irrespective of the sequence context of the reading frame.
2017-08-09 | PXD005844 | Pride
Project description:Prokaryotic genome annotation is highly dependent on automated methods, as manual curation cannot keep up with the exponential growth of sequenced genomes. Current automated techniques depend heavily on sequence context and often underestimate the complexity of the proteome. We developed REPARATION (RibosomeE Profiling Assisted (Re-)AnnotaTION), a de novo algorithm that takes advantage of experimental evidence from ribosome profiling (Ribo-seq) to delineate translated open reading frames (ORFs) in bacteria, independent of genome annotation. Ribo-seq next generation sequencing technique that provides a genome-wide snapshot of the position translating ribosome along an mRNA at the time of the experiment. REPARATION evaluates all possible ORFs in the genome and estimates minimum thresholds to screen for spurious ORFs based on a growth curve model. We applied REPARATION to three annotated bacterial species to obtain a more comprehensive mapping of their translation landscape in support of experimental data. In all cases, we identified hundreds of novel ORFs including variants of previously annotated and novel small ORFs (<71 codons). Our predictions were supported by matching mass spectrometry (MS) proteomics data and sequence conservation analysis. REPARATION is unique in that it makes use of experimental Ribo-seq data to perform de novo ORF delineation in bacterial genomes, and thus can identify putative coding ORFs irrespective of the sequence context of the reading frame.
2017-08-03 | PXD005901 | Pride