ABSTRACT: To gain more insight in the expression and role of microRNAs in trophoblastic cells, we have assessed the miRNA expression pattern of four trophoblastic cell lines and have compared them with the miRNA signature of human isolated 3rd trimester cytotrophoblast cells. Total RNA was reverse-transcribed, pre-amplified with miRNA-specific primers, and loaded into TLDA cards. Quantitative real-time PCR was performed for 768 miRNAs. For each of two cards per sample (A and B), 9 ul of pre-amplified diluted sample was mixed with TaqMan reaction mix (Applied Biosystems) and loaded into miRNA TLDA cards (Applied Biosystems) by centrifugation. Cards were sealed, and qRT-PCR was performed at a real-time thermocycler (ABI-7900, Applied Biosystems) following the manufacturer's recommendations. MiRNA signatures of human primary 3rd trimester trophoblast cells were compared with those of four trophoblastic cell lines
Project description:Dynamic miRNA expression data in 377 miRNA present on Taqman low density array (TLDA) Human MicroRNA Array (A) plates (Applied Biosystems, #4398965). Primary human leukaemic B-cells were cultured for 24 hours on a stromal cell layer or a stromal cell layer with CD154 and IL-4 in order to find out how miRNA expression compared to that of freshly isolated leukaemic cells.
Project description:Breast cancer is a common disease with distinct tumor subtypes which can be phenotypically characterized by estrogen receptor, progesterone receptor and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression. Altered miRNA expression has been demonstrated in a variety of cancer states to date presenting the potential for exploitation as cancer specific biomarkers. Blood presents an attractive medium biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. Blood samples were prospectively collected from consenting patients with Luminal A breast cancer (n=10) and controls (n=10). RNA was extracted, reverse transcribed and subjected to microarray analysis (n=10 Luminal A; n=10 Control). Differentially expressed miRNAs were identified by artificial neural network (ANN) data-mining algorithms. Ethical approval was granted by the Clinical Research Ethics Committee, Galway Roscommon University Hospital Group. Written informed consent was obtained from all study participants. Blood samples were prospectively collected from 20 women; this included 10 consecutive women with a new diagnosis of Luminal A breast cancer and 10 healthy control participants. Luminal A status was confirmed with immunohistochemistry and fluorescence in situ hybridization (FISH). The blood samples for the healthy control group were collected from women residing in the same catchment area as the cancer cases. These women had no personal history of malignancy and no current inflammatory or infectious condition. Venous non-fasting whole blood samples were collected in BD vacutainers ® containing 18mg dipotassium EDTA anticoagulant (BD-Plymouth, PL6 7BP, UK). Total RNA was extracted from blood (1ml) using TRI Reagent BD (Molecular Research Centre, Inc). RNA concentration and integrity were evaluated by NanoDrop spectrophotometry (NanoDrop ND-1000 Technologies Inc., DE, USA) and Agilent Bioanalyzer RNA 6000 NanoChip Kit Series II (Agilent Technologies, Germany) analysis, respectively. MiRNA microarray profiling Expression profiling of circulating miRNAs was performed using TaqMan miRNA arrays and assays in accordance with the manufacturer’s instructions (Taqman Low Density Array Human microRNA Card A and Card B, Applied Biosystems, Foster City, CA, USA). In short, total RNA was reverse transcribed using Megaplex primer pool A (Applied Biosystems) which contained sequence-specific primers for 381 specific miRNAs plus 3 controls (pool A). An additional panel of 384 miRNAs (381 miRNAs and 3 controls, pool B) was performed on a subset of 4 cancers and 4 controls. Real-time quantitative PCR was performed for 667 miRNAs, using A and B microfluidic cards, each containing primers and probes for 381 specific miRNAs plus 3 controls and thermal-cycled on an Applied Biosystems 7900HT instrument. The TLDA cards contain three endogenous controls (RNU44, RNU48 and MammU6 which is repeated four times on each card). Each card also contains a negative control, an assay unrelated to any human species, ath-miR-159a.
Project description:We determined expression profiles of 667 miRNAs using TaqMan Low Density Arrays (TLDA-TaqMan Array Human MicroRNA Card Set v2.0, Applied Biosystems) in 8 samples of colorectal cancer tissues and 8 samples of paired non-tumoral colonic tissues.
Project description:Eosinophlic esophagitis (EoE) is increasely recognized as an antigen-drived disorder. The goal of this study is to reveal the miRNA expression changes in EoE before and after a successful glucocorticoid steroid treatment. Total RNA was extracted from the esophageal epithelial layers of 5 paired paraffin-embedded biopsies before and after treatment with glucocorticosteroids using RecoverAll Total Nucleic Acid Extraction Kit for FFPE tissues (Ambion, Austin, TX). Five nanograms of total RNA was reverse-transcribed using the Taqman MicroRNA Reverse Transcription Kit and the Megaplex RT primer Human Pool A (Applied Biosystems). The reverse-transcribed cDNA was then pre-amplified in 12 cycles of PCR using Taqman PreAmp Master Mix and the Megaplex PreAmp primers, Human Pool A (Applied Biosystems). The cDNA’s were then diluted and loaded on to a Taqman Human miRNA Array card A (Platform GPL9731 ; Applied Biosystems), which contains probes for 377 distinct miRNAs. The Array cards were run on an ABI HT7900 qPCR instrument. Ct values were obtained for all miRNAs represented on the cards and fold changes in expression were calculated using the delta delta Ct (ddCt) method.
Project description:We profiled miRNA expression using TaqMan TLDA assays to identify miRNAs with expression levels that were affected by differences in culturing conditions during monocyte-to-macrophage differentiation. 9 samples: 3 sample types for 3 different human donors
Project description:The study sought to determine the global miRNA profiles of mouse pancreatic cell lines aTC1-6 and bTC1 at steady state and after treatment with a cocktail of pro-inflammatory cytokines (IL1b; IFNg and TNFa) for a time course of 24 and 48 hours. Inflammatory cocktail contains IL1b 50 IU/ml; IFNg 1000 IU/ml; TNFa 1000 IU/ml. MicroRNA expression profiles in both cell lines during the different experimental conditions were determined using TaqMan® Rodent miRNA A+B Cards Set v2.0 (TLDA, Life Technologies). MicroRNA profiles were measured in 3 independent biological replicates. qRT-PCR analysis of microRNAs of aTC1-6 treated with cytokines for 24 and 48 h and of their respective not-treated controls as well as of βTC1 cells not treated with cytokines. 180 ng RNA of each sample was reverse transcribed through Megaplex™ RT Rodent Primer Pool sets A and B, and preamplified through Megaplex™ PreAmp Rodent Primer Pool sets (Lifetechnologies™). Complementary DNA (cDNA) was amplified usingTaqMan® Rodent miRNA A+B Cards Set v2.0 (Life Technologies™) with TaqMan Universal PCR Master Mix on an ABI 7900HT Sequence Detection System.
Project description:Some chronic myeloid leukemia (CML) patients with complete molecular response (CMR) are considered able to sustain the CMR after imatinib discontinuation (STOP-IM). Mahon et al. reported that among patients with a CMR lasting at least 2 consecutive years, the CMR was sustained in 41% after imatinib discontinuation. To more appropriately identify patients who can safely discontinue imatinib, we assessed the miRNA profiles of CML patients. We compared CML patients who sustained CMR for more than 6 months after discontinuation of imatinib (STOP-IM group) with those who were receiving imatinib with CMR (currently called as UMD: undetermined minimal disease), and with healthy volunteers (controls). Peripheral blood mononuclear cells (PBMCs) were harvested form 10ml of whole blood. Isolation of total RNA was performed using the mirVana PARIS kit (Ambion, Austin, TX, USA). The expression profile of miRNAs was determined using the Human Taqman miRNA Arrays A (Applied Biosystems). RNU6B were used as acontrol. QRT-PCR was carried out on an Applied Biosystems 7900HT thermal cycler using the manufacturer’s recommended program. Finally, all the raw data from each array was run on Data Assist Software ver.3.1 (Applied Biosystems).
Project description:miRNA expression profiling was performed on MM.1S MM cells cultured 8 hours in control media or 50nM RGB-286638, with or without BMSCs. The emerging role of miRNAs in the pathogenesis of multiple myeloma (MM) led us to hypothesize that the miRNA network might be among the inducible transcriptional alterations consequent to MM-bone marrow stromal cell (BMSC) interactions. Our data suggests that BMSC induced MM transcription led to aberrant miRNA expression. We therefore hypothesized that agents interfering with RNAPII transcription might inhibit aberrant miRNA expression in MM. To test this hypothesis we used RGB-286638, a novel protein kinase inhibitor, which works primarily via RNAPII inhibition followed by transcriptional arrest in MM cells. miRNA profiling of RGB-286638-exposed MM cells resulted in RNAPII arrest associated with reduced miRNA levels. RGB-286638 abrogated BMSCs-induced miRNAs, which correlated with growth arrest in MM cells. Analysis of RGB-286638-induced differentially-expressed miRNAs in MM cells, in the presence or absence of BMSCs, revealed RNAPII regulation of expression of BMSC-inducible miRNAs with established oncogenic functions in MM Our findings demonstrate the role of RNAPII in regulating miRNA network, suggesting a new rationale for using agents interfering with RNAPII transcription in the treatment of MM. TaqMan Low-Density Array (TLDA) using human miRNA version 2.0A and version 3.0B cards (Applied Biosystems) were applied to examine the global change of miRNA expression levels in MM.1S cells when co-cultured with BMSCs, with or without RGB-286638 treatment. A total of 756 mature miRNA updated in the Sanger miRBase v.15.0 were quantified according to the manufacturer's instructions as previously described. miRNAs with Ct values higher than 37 were excluded from the analysis. Normalization was carried out with the mean of RNU44 and RNU48. Relative quantification of miRNA expression was calculated with the 2−ΔΔCt Ct method using the ddCt program (Shannon McCormack Advanced Molecular Diagnostics Laboratory Research Services). The data was presented as log10 of the relative quantity of each miRNA.
Project description:We addressed the potential for global regulation of miRNA biogenesis by BDNF using miRNA arrays that selectively measure mature miRNA, as opposed to pre-miRNA. Hippocampal neurons were treated with BDNF for 30 min in the presence of Actinomycin-D to assess changes due to processing of existing pre-miRNAs rather than new pre-miRNA production. We used Applied Biosystems 7900HT Fast Real-Time PCR system using Taqman Rodent MicroRNA Array A. Data is from three paired BDNF and Mock experiments (1,2,3). Each array (TaqMan) contained 375 rodent miRNA targets of which 195 were detectable in hippocampus in three independent paired experiments.
Project description:Our study was designed to identify plasma miRNAs specific for rheumatoid arthritis (RA) by a comprehensive array approach. We performed a array-based miRNA analysis on plasma samples from three RA patients and three healthy controls (HCs). Overall design: TaqMan Low-Density Array (TLDA) using human miRNA version 3.0A and version 2.0B cards (Applied Biosystems) were applied to examine the global change of miRNA expression levels in plasma from patients with RA and healthy controls. A total of 756 mature miRNA updated in the Sanger miRBase v.15.0 were quantified according to the manufacturer's instructions as previously described. Normalization was carried out with the average Ct value of all miRNAs. Relative quantification of miRNA expression was calculated with the 2−ΔΔCt Ct method. The data was presented as log10 of the relative quantity of each miRNA.