Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA149773 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:To identify potential targets of miR-34a, we performed transcriptional profiling on proneural TS543 GBM cells, focusing on mRNAs whose levels decreased in response to miR-34a transfection as compared to control oligonucleotide.
2012-03-27 | GSE34242 | GEO
Project description:To identify potential targets of miR-34a, we performed transcriptional profiling on proneural TS543 GBM cells, focusing on mRNAs whose levels decreased in response to miR-34a transfection as compared to control oligonucleotide. Proneural TS543 GBM cells were transfected with 100 nM hsa-miR-34a or control oligonucleotide using Hiperfect transfection reagent (Qiagen). After 3 days, RNA was isolated and expression analyses were performed using Illumina HT-12 bead array. The microarray dataset was normalized using a variance stable normalization (VSN) procedure in the ‘lumi’ package from the Bioconductor framework.
2012-03-26 | E-GEOD-34242 | biostudies-arrayexpress
Project description:miR-34a, miR-122, miR-206 and miR-210 targets identification
| PRJNA149409 | ENA
Project description:To clarify the effect of miRNAs, we carried out a gene expression microarray analysis using GIST-T1 cells transfected with a miR-34a mimic or a negative control. We found that 2,621 probe sets (1,933 unique genes) were downregulated (>1.5-fold) by ectopic miR-34a expression, including PDGFRA gene which was previously reported as a miR-34a target gene.
2015-05-25 | GSE68740 | GEO
Project description:We report the high-throughput profiling of thirteen human glioblastoma and four pairs of panned(pdgfra+) and supernatant(pdgfra-) human glioma cells. The subtypes and the different expression genes(DEGs) was identified integrated genomic analysis:single sample GSEA and DESeq.We obtained the enrichment gene pathway by using Gene Ontology Enrichment analysis-Functional classification viewed in pie chart.We find that the features of Proneural were enriched generaly when comparing the four pairs of the panned(pdgfra+) and supernatant(pdgfra-) human glioma cells.
2020-09-10 | GSE108862 | GEO
Project description:To clarify the effect of miRNAs, we carried out a gene expression microarray analysis using GIST-T1 cells transfected with a miR-34a mimic or a negative control. We found that 2,621 probe sets (1,933 unique genes) were downregulated (>1.5-fold) by ectopic miR-34a expression, including PDGFRA gene which was previously reported as a miR-34a target gene. GIST-T1 cells were transfected with a mirVana miR-34a mimic (Ambion) or mirVana miRNA mimic Negative Control #1 (Ambion). Forty-eight hours after transfection, total RNA extraction was carried out, and gene expression signatures were analyzed.
2015-05-25 | E-GEOD-68740 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs or miRs) are small, noncoding RNAs that are implicated in the regulation of nearly all biological processes. Global miRNA biogenesis is altered in many cancers and RNA-binding proteins (RBPs) have been shown to play a role in this process, presenting a promising avenue for targeting miRNA dysregulation in disease. miR-34a exhibits tumor-suppressive functions by targeting cell cycle regulators CDK4/6 and anti-apoptotic factor Bcl-2, among other regulatory pathways such as Wnt, TGF-, and Notch signaling. Many cancers show downregulation or loss of miR-34a, and synthetic miR-34a supplementation has been shown to inhibit tumor growth in vivo; however, the post-transcriptional mechanisms by which miR-34a is lost in cancer are not entirely understood. Here, we have used a proteomics-mediated approach to identify Squamous cell carcinoma antigen recognized by T-cells 3 (SART3) as a putative pre-miR-34a-binding protein. SART3 is a spliceosome recycling factor and nuclear RBP with no previously reported role in miRNA regulation. We demonstrate that SART3 binds pre-miR-34a with specificity over pre-let-7d and begin to elucidate a new functional role for this protein in non-small lung cancer cells. Overexpression of SART3 led to increased miR-34a levels, downregulation of the miR-34a target genes CDK4 and CDK6, and cell cycle arrest in the G1 phase. In vitro binding studies showed that the RNA-recognition motifs within the SART3 sequence are responsible for selective pre-miR-34a binding. Collectively, our results present evidence for an influential role of SART3 in miR-34a biogenesis and cell cycle progression.
2019-10-14 | PXD015278 | Pride
Project description:Here we show that biotin-labelled miR-34a can be loaded to AGO2, and AGO2 immunoprecipitation can pulldown biotinylated miR-34a (Bio-miR pulldown). RNA-sequencing (RNA-seq) of the Bio-miR pulldown RNAs efficiently identified miR-34a mRNA targets, which could be verified with luciferase assays. In contrast to the approach of Bio-miR pulldown, RNA-seq of miR-34a overexpression samples had limited value in identifying direct targets of miR-34a. It seems that pulldown of 30 -Biotin-tagged miRNA can identify bona fide microRNA targets at least for miR34a.
2019-02-27 | GSE127211 | GEO
Project description:Radiation is the frontline treatment for malignant gliomas. Intra-tumoral heterogeneity has been proposed to grant cancer cells a superior trajectory and survival advantage to avoid therapeutic interventions including radiation. However, direct evidence to support the hypothesis via the transcriptome dynamics of glioma during radiation therapy is limited. The current study aim to measure the functional subpopulation dynamics before and after radiation treatment that assist the radiation resistance at single cell resolution. We investigate the single cell transcriptome and biological pathways of primary glioma mouse model and post-radiation early/late time point. Specifically, we used the RCAS mouse model for gliomas, which overexpress PDGFRA as the model. Using single cell transcriptome, for the first time, we confirmed the proneural classification of PDGFRA RCAS glioma mouse model and its heterogeneity. We found that recurrent dominant subpopulations are featured with elevated proliferation rate and hypoxia. In addition, we identified a subpopulation of radiation resistant cells in at early time points with elevated stemness. Lastly, the subpopulations composition undergoes large changes at late time point when the tumor recurred. Single cell transcriptome profiling of radiation treated mouse glioma mouse model identified tumor cell subpopulations dynamics. It provides novel insights into the molecular phenotype and biological functions of radiation resistant tumor cell population.
2016-12-01 | GSE76184 | GEO
Project description:Identification of human miR-34a-responsive transcripts
| PRJNA99877 | ENA