Active translatome profiling with RiboLace in MCF7 cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE112295 | GEO | 2018/10/09
REPOSITORIES: GEO
Similar Datasets
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 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:We developed RiboLace, a novel method based on a new puromycin-containing molecule, for the isolation of active ribosomes and associate RNAs by means of an antibody-free and tag-free pull-down approach. We compared riboLace translation estimates with protein levels determined by proteomics in MCF7 cells. RiboLace can be easily and rapidly used to obtain a transcriptome-wide snapshot of active translation from eukaryotic in vitro and in vivo systems.
2018-11-21 | PXD009417 | Pride
Project description:We subjected MCF7 cells to starvation with 0.5% charcoal treated serum for 48h and then we added 17-beta estradiol (E2) at final concentration of 10 nM, profiling before and after 60 minutes of treatment the transcriptome and the translatome, coming from the polysomal pool of mRNAs after sucrose gradient separation. Comparison of translatome profile changes with corresponding transcriptome profile changes represents a way of studying translational control networks and the degree of concordance between cellular controls affecting mRNA abundance and cellular controls affecting mRNA availability to translation. It is well known that E2 is a strong transcriptional regulator, while its translational control activity is less characterized. To provide a direct experimental evaluation of E2 induced translational regulation, we compared translatome and transcriptome profiles of E2 treated cells. Keywords: polysomal profiling, translatome profiling, polysomal RNA, translational control, translational profiling, polysome profiling, post-transcriptional regulation, estradiol stimulation, estrogen receptor. The comparison between transcriptional and polysomal profiling was used for the discovery of general and mRNA-specific changes in the translation state of the serum starved MCF7 cells transcriptome in response to E2 stimulus. To identify translationally regulated mRNA molecules, gene expression signals derived from the polysomal populations were compared by microarrays analysis to those obtained from unfractionated total RNAs. Polysomal RNA and total RNA were isolated from MCF7 cells serum starved and treated with E2. Cells lysates were collected before (t = 0 min) and after (t = 60 min) E2 treatment. All experiments were run in quadruplicates.
2010-12-31 | E-GEOD-22012 | biostudies-arrayexpress
Project description:We subjected MCF7 cells to starvation with 0.5% charcoal treated serum for 48h and then we added 17-beta estradiol (E2) at final concentration of 10 nM, profiling before and after 60 minutes of treatment the transcriptome and the translatome, coming from the polysomal pool of mRNAs after sucrose gradient separation. Comparison of translatome profile changes with corresponding transcriptome profile changes represents a way of studying translational control networks and the degree of concordance between cellular controls affecting mRNA abundance and cellular controls affecting mRNA availability to translation. It is well known that E2 is a strong transcriptional regulator, while its translational control activity is less characterized. To provide a direct experimental evaluation of E2 induced translational regulation, we compared translatome and transcriptome profiles of E2 treated cells. Keywords: polysomal profiling, translatome profiling, polysomal RNA, translational control, translational profiling, polysome profiling, post-transcriptional regulation, estradiol stimulation, estrogen receptor.
2010-12-31 | GSE22012 | GEO
Project description:Several genome-wide transcriptome analyses that focused on p53-induced cellular responses in many cellular contexts have continued to expand the already vast p53-regulated transcriptional networks. To investigate post-transcriptional controls as an additional dimension of p53-directed gene expression responses we performed translatome analysis by polysomal profiling on MCF7 cells treated with Doxorubicin and Nutlin-3a. A comparison between the transcriptome and the translatome revealed a large number of uncoupled genes, whose transcription changes did not correlate with translation changes. Overall, we establish p53 as a master regulator of translational control and identify many p53 target genes affecting translation that can contribute to p53-dependent cellular responses. Keywords: p53, transcriptome, translatome, polysomal RNA, subpolysomal RNA, uncoupling, Doxorubicin, Nutlin-3a Total RNA (tot) was extracted from MCF7 vector cells after 16h of treatment with Doxorubicin (1.5uM) and Nutlin-3a (10uM) or DMSO (solvent, as control treatment). Polysomal profiling was performed after the same conditions. We collected all subpolysomal mRNA fractions (sub) and the polysomal ones (pol) after sucrose gradient fractionation of cytoplasmic lysates to analyze separately mRNAs that are not actively translated from those that are considered in active translation, respectively. Experiments were performed in three biological replicates.
2014-04-17 | E-GEOD-50650 | biostudies-arrayexpress
Project description:We used Ribo-seq to determine how PRMT inhibition affects translation of different mRNAs, This analysis can generate a “snapshot” of all mRNAs that are occupied by active ribosomes (i.e., undergoing active translation) in a cell at a particular condition.
2022-06-30 | GSE153142 | GEO
Project description:hCINAP is essential for human 18S rRNA processing and ribosome assembly. hCINAP is highly expressed in human cancers and promotes cancer cell growth. To connect the role of hCINAP in ribosome biogenesis and tumor growth, genome-wide polysome profiling was performed to detect the regulation of hCINAP on ribosome assembly and translation control. The results showed taht hihgly expressed hCINAP promotes ribosome biogenesis and selectively modulates cancer-associated translatome to promote malignancy. This result provides important insights into the molecular mechanism underlying the role of hCINAP in tumorigenesis. For the transcriptional profile, MCF7 cells transfected with control vector or GFP-hCINAP were collected and total RNA was extracted. For the polysoem profile, MCF7 cells with stably expressed GFP or GFP-hCINAP were subjected to surcose gradient fractionation. Ribosome profiles were obtained by measuring the absorbance of the sucrose gradient at a wavelength of 254 nm using a BioComp Gradient Fractionator. The fractions corresponding to subpolysome and polysome were collected and RNA was extracted. The cDNA library was generated and sequenced via Illumina HiSeqTM 2000. The clean reads were mapped to the UCSC hg19 reference genome and FPKM was assigned to calculate expression levels. The recruitment to polysome of each mRNA was calculated according to their FPKM values in the monsome and polysome.
2016-07-18 | E-GEOD-81469 | biostudies-arrayexpress
Project description:Meiotic maturation of oocyte relies on pre-synthesized maternal mRNA, the translation of which is highly coordinated in space and time. Here, we provide a detailed polysome profiling protocol utilising small SW55Ti ultracentrifugation tubes with a volume of 5 ml. This newly optimized method, named Scarce Sample Polysome Profiling (SSP-profiling), is suitable for both scarce and conventional sample sizes and is compatible with downstream RNA-seq to identify polysome associated transcripts. Utilising SSP-profiling we have assayed the translatome of mouse oocytes at the onset of nuclear envelope breakdown (NEBD); a developmental stage that has thus far remained unexplored. Our analyses have identified 1778 transcripts with moderate to strong polysome occupancy, including abundantly represented mRNAs encoding mitochondrial and ribosomal proteins, proteoasomal components, glycolytic and amino acids synthetic enzymes, proteins involved in cytoskeleton organization plus RNA-binding and translation initiation factors. In addition to transcripts encoding known players of meiotic progression, we have also identified several mRNAs encoding proteins of unknown function. Polysome profiles generated using SSP-profiling were more than comparable to those developed using existing conventional approaches, being demonstrably superior in their resolution, reproducibility, versatility, speed of derivation and downstream protocol applicability.
2020-02-12 | GSE121358 | GEO
Project description:Bacterial lipopolysaccharide(LPS) dramatically activates macrophages. So far, dozen of papers indicated that many proinflammatory molecules are transcriptionaly regulated during response. Despite of this,translational regulation is not fully elucidated especially in a comprehensive fashion. In this series, we investigated expression profiles of translation active (polysome) inactive (free mRNP) mRNAs of a typical mouse macrophage cell line, J774.1. Moreover, we also measured total cellular RNA level as a reference. Experiment Overall Design: Triplicates for each time points are included.
2008-06-13 | E-GEOD-4288 | biostudies-arrayexpress