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.
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.
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.
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.
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.
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.
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.