Dynamic time course miRNA profiling of human skeletal muscle cell differentiation.
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ABSTRACT: The purpose of this study was to determine the miRNA expression profile of in vitro differentiation of human skeletal muscle cells and to couple changes in individual miRNA expression to transcriptional output of target genes. miRNA expression profiling at six different time points during the in vitro differentiation process of human skeletal muscle cells from six subjects. RNA was harvested from myoblasts before induction of differentiation and at every other day for 10 following days. Temporal, time-course design with paired analysis (6 subjects). Biological replicates: 6 at day 0, 6 at day 2, 6 at day 4, 6 at day 6, 6 at day 8, and 5 at day 10. One replicate vs common reference RNA pool per array.
Project description:miRNA profiling of Jurkat T-ALL cells after knockdown with two control shRNAs and two shRNAs targeting TAL1 to identify miRNAs that are regulated by TAL1 miRNA profiling using Exiqon arrays 48hrs after transduction of Jurkat cells with two control shRNAs (pLKO1-GFP and pLKO1-LUCIFERASE) vs two shRNAs targeting TAL1 (pLKO1-shRNA1 and pLKO1-shRNA2). Biological duplicates per shRNA. One replicate per array.Total of 8 arrays.
Project description:miRNA profiling of PC12 rat pheochromocytoma cells during NGF-induced differentiation and apoptosis of differentiated cells after 24h of NGF deprivation. miRNA expression in differentiating and deprivated cells was compared to untreated and terminally differentiated PC12 cells respectivelly. Five-condition experiment, NGF-treated cells (1h, 3h, 6h, 24h, 240h) vs. untreated. One-condition experiment, NGF-deprivated vs. differentiated cells.
Project description:The salamander microRNA expression between mid-bud limb regenerating blastemas (17 days post amputation) and non-regenerating stump tissues was compared by microarray analysis. LC Sciences arrays: Six paired samples were analyzed: three mid-bud 17dpa blastemas (bl), and three non-regenerating stumps (st). Three arrays were hybridized comparing two paired samples each time. Biological dye-swaps were made by labeling bl samples once with Cy3 and twice with Cy5; st samples were labeled accordingly twice with Cy5 and once with Cy3. Multiple arrays averaged into a single Sample record. Supplementary files: GSE29727_LC_MultiArray_SimpleNormalizedData.txt.gz GSE29727_LC_signal_ratio_mean_SD.txt.gz GSE29727_LC_t-Test_st-vs-bl.txt.gz Exiqon arrays: Six paired samples were analyzed: three mid-bud 17dpa blastemas (bl), and three non-regenerating stumps (st). Six arrays were hybridized comparing each sample labeled with Hy3 against a common reference sample made by pooling all the samples and labeling it with Hy5. Multiple arrays not averaged, represented as multiple Sample records. Supplementary file: GSE29727_Exiqon_matrix_complete.txt
Project description:It is widely accepted that long-term changes in synapse structure and function are mediated by rapid activity-dependent gene transcription and new protein synthesis. A growing amount of evidence suggests that the microRNA (miRNA) pathway plays an important role in coordinating these processes. Despite recent advances in this field, there remains a critical need to identify specific activity-regulated miRNAs as well as their key messenger RNA (mRNA) targets. To address these questions, we used the larval Drosophila melanogaster neuromuscular junction (NMJ) as a model synapse in which to identify novel miRNA-mediated mechanisms that control activity-dependent synaptic growth. First, we developed a screen to identify miRNAs differentially regulated in the larval CNS following spaced synaptic stimulation. Surprisingly, we identified five miRNAs (miRs-1, -8, -289, -314, and -958) that were significantly downregulated by activity. Neuronal misexpression of three miRNAs (miRs-8, -289, and -958) suppressed activity-dependent synaptic growth suggesting that these miRNAs control the translation of biologically relevant target mRNAs. Functional annotation cluster analysis revealed that putative targets of miRs-8 and -289 are significantly enriched in clusters involved in the control of neuronal processes including axon development, pathfinding, and growth. In support of this, miR-8 regulated the expression of a wingless 3M-bM-^@M-^YUTR (wg 3M-bM-^@M-^Y untranslated region) reporter in vitro. Wg is an important presynaptic regulatory protein required for activity-dependent axon terminal growth at the fly NMJ. In conclusion, our results are consistent with a model where key activity-regulated miRNAs are required to coordinate the expression of genes involved in activity-dependent synaptogenesis. larval CNS of UAS-ChR2 x C380-Gal4 following synaptic stimulation
Project description:Background: TrkB-T1 is a BDNF receptor lacking a tyrosine kinase domain that is highly expressed in astrocytes and regulates BDNF-evoked calcium transients. Previous studies indicate that downregulation of TrkB-T1 in frontal cortex may be involved in neurobiological processes underlying suicide. Methods: In a microarray screening study (N=8), we interrogated all known microRNA in the frontal cortex of suicide completers with low expression of TrkB-T1 and normal controls. These findings were validated and followed up in a larger sample of cases and controls (N=55) Functional analyses included microRNA silencing, microRNA overexpression and luciferase assays to investigate specificity and to validate interactions between differentially expressed microRNA and TrkB-T1 Results: microRNAs Hsa-miR-185* and Hsa-miR-491-3p were upregulated in suicide completers with low expression of TrkB.T1 (Pnominal: 9.10-5 and 1.8.10-4 respectively; FDR-corrected p=0.031). Bioinformatic analyses revealed five putative binding sites for the DiGeorge syndrome linked microRNA Hsa-miR-185*in the 3M-bM-^@M-^YUTR of TrkB-T1, but none for Hsa-miR-491-3P. The increase of Hsa-miR-185* in frontal cortex of suicide completers was validated then confirmed in a larger, randomly selected group of suicide completers, where an inverse correlation between Hsa-miR-185* and TrkB-T1 expression was observed ( R=-0.404; p=0.002). Silencing and overexpression studies performed in human cell lines confirmed the inverse relationship between hsa-mir-185* and trkB-T1 expression. Luciferase assays demonstrated that Hsa-miR-185* binds to sequences in the 3M-bM-^@M-^YUTR of TrkB-T1. Conclusion: These results suggest that an increase of Hsa-miR-185* expression levels regulates, at least in part, the TrkB-T1 decrease observed in the frontal cortex of suicide completers and further implicate the 3MB 22q11 region in psychopathology. The microarray analysis consists in to compare the microRNA profile of four suicide completers with low TrkB-T1 expression level and four controls. Each RNA extract was labeled with Hy3 and hybridyzed with a reference sample labeled with Hy5. The reference sample was a pool of the eight RNA samples
Project description:Background: Exosomes are nanovesicles of endocytic origin believed to be involved in communication between cells. Recently, it has been shown that mast cell exosomes contain RNA named "exosomal shuttle RNA". The aim of this study was to evaluate whether exosomal shuttle RNA could play a role in the communication between human mast cells and between human mast cells and human CD34 positive progenitor cells. Results: Exosomes from the human mast cell line HMC-1 contain RNA. The exosomes contain no or very little ribosomal RNA compared to their donor cells. The mRNA and microRNA content in exosomes and their donor cells was examined using microarray analyses. We found 116 microRNA in the exosomes and 134 microRNA in the cells, from which some were expressed at different level. DNA microarray experiments revealed the presence of approximately 1800 mRNAs in the exosomes, which represent 15% of the donor cell mRNA content. Transfer experiments revealed that exosomes and their RNA can transfer to other HMC-1 cells and to CD34 positive progenitors. Conclusions: To conclude, HMC-1 exosomes contain mRNA and microRNA that can be transferred to other mast cells and to CD34 progenitors. This shuttle of exosomal RNA may represent a powerful mode of communication between cells where cells send genetic information to other cells over a distance via exosomes. [miRNA profiling] Identification of microRNA was performed by Exiqon (www.exiqon.com). Briefly, the quality of the total RNA was verified by an Agilent 2100 Bioanalyzer. Total RNA from the exosome and the HMC-1 cell samples were labelled with Hy3 and Hy5 fluorescent stain, respectively, using the miRCURY Hy3/Hy5 power labelling kit. The Hy3-labelled exosome samples and a Hy5-labeled mast cells were mixed pair-wise and hybridized to the miRCURY? LNA array (v9.2). The hybridization was performed according to the miRCURY? LNA array manual using a Tecan HS4800 hybridization station (Tecan Systems, Inc. San Jose, CA). The miRCURY? LNA array microarray slides were scanned by a ScanArray 4000 XL scanner (Packard Biochip Technologies, Billerica, MA ,USA) and the image analysis was carried out using the ImaGene 6.1.0 software (BioDiscovery, Inc, El Segundo, CA USA). The quantified signals were normalized using the global Lowess (LOcally WEighted Scatterplot Smoothing) regression algorithm. MicroRNA with signals equal to or below the background signal in 2 or more of the 4 replicate measurements were identified as absent in that slide. The limit for a miRNA to be listed as detectable was set to signal intensities higher than 3 x background (3 x median Hy3 or Hy5 for the total slide). In addition, where signals were detected for <3 of the slides, they were considered unreliable and excluded from sets of detected miRNAs. The experiment was performed in triplicate samples. The signal was calculated as the mean value of the log2MeanRatio Hy3/Hy5 for the triplicates M-BM-1 SD. [mRNA profiling] Exosomes were prepared from the supernatant of HMC-1 cells by differential centrifugations and filtration. RNA was isolated from the exosomes and their parental cells using Trizol . The microarray experiments were performed by SweGene (www.swegene.org/) according to Affymetrix microarray DNA chip analysis (n=4). p0739_E1, p0739_ E2, p0739_E3 and p0739_E4 for the exosomes samples and p0739_C1, p0739_C2, p0739_C3, and p0739_C4 for the HMC-1 cells. [miRNA profiling] Exosomes were prepared from the supernatant of HMC-1 cells by differential centrifugations and filtration. RNA was isolated from the exosomes and their parental cells using Trizol followed by RNeasy clean-up. The microarray experiments were performed by Exiqon.
Project description:Sixth generation ExiqonM-BM-. locked nucleic acid miRCURYM-bM-^DM-" LNA microarrays were used to search and validate some unidentified miRNAs that regulate EMT in head and neck cancer carcinoma. MiRNA array screening was performed to identify the differential expression of miRNAs involved in EMT in natural epithelial - mesenchymal phenotype cell line pairM-oM-<M-^HHN-4, HN-12) and in TGF-M-NM-2 induced EMT models (HN-4 TGF-M-NM-2,HN-4). HN-4 parental cell was served as the control.One M-BM-5g total RNA from sample and control was labeled with Hy5M-bM-^DM-" and Hy3M-bM-^DM-" fluorescent label, respectively, using the miRCURYM-bM-^DM-" LNA Array power labeling kit (Exiqon, Denmark) following the procedure described by the manufacturer.
Project description:MicroRNA expression profiling in matched lesional skin samples from 25 patients with psoriasis using the miRNA analysis platform miRCURY LNATM MicroRNA array (v. 11.0) (Exiqon). Aim: To explore the effect of three different preservation methods (Formalin-fixation paraffin-embedding (FFPE), frozen (FS) and OCT-embedding (OCT)) on miRNA expression levels in matched lesional skin samples from 25 patients with psoriasis. Three-condition experiment, FS vs. FFPE, OCT vs. FFPE and FS vs. OCT. Biological replicates: 25 matched samples from patients with psoriasis. One replicate per array.
Project description:Inflammatory conditions can contribute to tumor formation. However, any clear marker predicting progression to cancer are still lacking. The aim of our study was to analyze microRNA modulations accompanying inflammation-induced tumor development to determine whether these microRNA may jointly affect the expression of genes involved in cancer. For this purpose, we used the well-established azoxymethane (AOM)/dextran sulfate sodium (DSS)-induced mouse model of colitis-associated cancer. We performed a microRNA microarray to establish microRNA expression profiles in mouse whole colon at early and late time points during inflammation and/or tumor growth. Chronic inflammation and carcinogenesis were associated with distinct changes in microRNA expression. Nevertheless, prediction algorithms of microRNA-mRNA interactions and computational analyses based on ranked microRNA lists consistently identified putative target genes that play essential roles in tumor growth or belong to key carcinogenesis-related networks or signaling pathways. Hence, inflammation, through microRNA, may affect unexpected genes or signaling pathways, thereby contributing to carcinogenesis. The present method can lead to the identification of novel genes or signaling pathways involved in cancer development. miRNA microarray profiling in whole mouse colon at 4 time points during AOM/DSS treatment. Controls : PBS, DSS alone or AOM alone, at two time points; 10 experimental conditions, 5 replicates per experimental conditions, one replicate per array hybridized in dual color with a commercial reference (Universal Reference, Miltenyi Biotec GmbH)