Project description:Serum from children with active and inactive treated eosinophilic esophagitis was analyzed for detection of microRNA Individual serum samples from children with eosinophilic esophagitis were analyzed for detection of microRNA. (n=5 for active EoE and n=5 for inactive EoE)
Project description:Nanostring nCounter Human miRNA assay (v1) of esophageal mucosal biopsies from children with eosinophilic esophagitis and controls Individual esophageal mucosal biopsies from children with eosinoniphilic esophagitis and controls were analysed for detection of microRNA
Project description:Defects in stress responses are important contributors in many chronic conditions including cancer, cardiovascular disease, diabetes, and obesity-driven pathologies like non-alcoholic steatohepatitis (NASH). Specifically, endoplasmic reticulum (ER) stress is linked with these pathologies and control of ER stress can ameliorate tissue damage. MicroRNAs have a critical role in regulating diverse stress responses including ER stress. Here we show that miR-494-3p plays a functional role during ER stress. ER stress inducers (tunicamycin and thapsigargin) robustly increase the expression of miR-494 in vitro in an ATF6 dependent manner. Surprisingly, miR-494 pretreatment dampens the induction and magnitude of ER stress in response to tunicamycin in endothelial cells. Conversely, inhibition of miR-494 increases ER stress de novo and amplifies the effects of ER stress inducers. Using Mass Spectrometry (TMT-MS) we identified many proteins that are downregulated by both tunicamycin and miR-494 in cultured human umbilical vein endothelial cells (HUVECs). Among these, we found 6 transcripts which harbor a putative miR-494 binding site. Our data indicates that ER stress driven miR-494 may act in a feedback inhibitory loop to dampen downstream ER stress signaling. We propose that RNA-based approaches targeting miR-494 or its targets may be attractive candidates for inhibiting ER stress dependent pathologies in human disease.
Project description:Modification of microRNA sequences by the 3' addition of nucleotides to generate so-called M-bM-^@M-^\isomiRsM-bM-^@M-^] adds to the complexity of miRNA function, with recent reports showing that 3' modifications can influence miRNA stability and efficiency of target repression. Here we show that the 3' modification of miRNAs is a physiological and common post-transcriptional event that shows selectivity for specific miRNAs and is observed across species ranging from C. elegans to human. The modifications result predominantly from adenylation and uridylation, and are seen across tissue types, disease states, and developmental stages. To quantitatively profile 3' nucleotide additions, we developed and validated a novel assay based on NanoString Technologies' nCounter platform. For certain miRNAs, the frequency of modification was altered by processes such as cell differentiation, indicating that 3' modification is a biologically regulated process. To investigate the mechanism of 3' nucleotide additions, we used RNA interference to screen a panel of eight candidate miRNA nucleotidyl transferases for 3' miRNA modification activity in human cells. Multiple enzymes, including PAPD1, PAPD4, PAPD5, ZCCHC6, ZCCHC11, and TUT1, were found to govern 3' nucleotide addition to miRNAs in a miRNA-specific manner. Three of these enzymesM-bM-^@M-^SPAPD1, ZCCHC6 and TUT1M-bM-^@M-^Shave not previously been known to modify miRNAs. Collectively, our results indicate that 3' modification observed in next generation small RNA sequencing data is a biologically relevant process, and identify enzymatic mechanisms that may lead to new approaches for modulating miRNA activity in vivo. We validated the specificity of the platform by assaying three pools of synthetic RNA oligonucleotides representing canonical, variant 1, and variant 2 versions of 5 miRNAs (miR-15a, miR-15b, miR-125a-5p, miR-143 and miR-221).Each bridge pool (i.e., specific to canonical, variant 1 or variant 2) was used to assay the three mixtures of synthetic miRNA oligonucleotides. In order to assess accuracy, we also assayed mixtures of 5 synthetic miRNAs containing 60% canonical miRNA, 30% variant 1, and 10% variant 2. Triplicate technical replicates of each sample were performed.
Project description:This SuperSeries is composed of the following subset Series: GSE26802: Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity (hESC) GSE26803: Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity (KD) GSE26916: Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity (Validation 1) GSE26919: Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity (Validation 2) GSE29904: Post-transcriptional generation of miRNA variants by multiple nucleotidyl transferases contributes to miRNA transcriptome complexity (normal prostate and prostate cells) Refer to individual Series
Project description:We performed miRNA and mRNA profiling over a 7-point time course, encompassing all recognized stages of lung development and explore dynamically regulated miRNAs and potential miRNA-mRNA interaction networks specific to mouse lung development replicated time course of mouse lung development in 7 time points
Project description:MicroRNA microarray expression dataset used to develop novel and robust quality metrics to objectively assess platform performance of very different technologies. The HsMir v1s520779F custom array is primarly based on the commercially available Affymetrix microRNA microarray version 2.0 (Affymetrix GeneChip miRNA 2.0 Array datasheet P/N EXP00180 Rev 1) with i) microRNA probe sequences updated using miRBase version 17 ii) all human pre-microRNAs removed iii) all non-human sequences removed iv) all viral target sequences removed. In summary, the array contains 1738 mature microRNAs and 2333 other small RNAs (such as small nucleolar RNAs or small cajal body-specific RNAs) probe sequences plus the Affymetrix hybridization and normalization control probesets.
Project description:MicroRNAs (miRNAs) are a class of regulatory RNAs that control the expression of genes critical to cell function. Ectopic expression of miRNAs has been shown to result in genome-wide changes in patterns of gene expression. While the reasons for these global alterations in gene expression patterns have been attributed to the ability of miRNAs to target multiple genes, and/or to induce indirect effects downstream of target genes, the molecular basis of indirect effects of miRNA regulation remains poorly understood. In this study, we demonstrate the potential of miRNAs to regulate other miRNAs. Using miRNA microarray analysis, we show that over 70 different miRNAs are differentially expressed ( M-bM-^IM-%1.4 fold, FDR M-bM-^IM-$ 5%) in human ovarian cancer cells after transfection with a single miRNA (miR-7). We present evidence that a major component of miR-7-induced changes in levels of miRNAs is the indirect consequence of miR-7-mediated alterations in levels of protein-coding genes (e.g., transcription and splicing factors) that exert trans-regulatory control on miRNAs. HEY cells were transfected with either hsa-miR-7 (2 biological replicates) or a negative control miRNA, miR-NC (2 biological replicates), and then grown in 6-well plates for ~48 hours. The difference in miRNA expression pattern between the miR-7-transfected cells and the miR-NC-transfected cells was determined using an Affymetrix GeneChip miRNA Array.