ABSTRACT: miRNA profiling was carried out using the miRCURY LNA™ microRNA Array (6th gen - hsa, mmu & rno) miRNA were profiled in amygdala brain tissue obtained from adult mice 30 mins after auditory fear conditioning and expression levels compared to tissue obtained from Home cage controls Adult male mice were fear conditioned using tone-shock pairings and brains were harvested 30 mins later. The brains of Home Cage controls and Fear Conditioned animals (n = 4/group) were then punched to collect amygdala tissue. miRNA were extracted using the Qiagen miRNeasy Kit, and then shipped to Exiqon. Exiqon performed labeling, hybridization and data analysis after use of the miRCURY LNA™ microRNA Array (6th gen - hsa, mmu & rno). https://www.exiqon.com/ls/Documents/Scientific/miRCURY-LNA-microRNA-Array-6th-gen-hsa-mmu-rno-manual.pdf
Project description:miRNA profiling was carried out using the miRCURY LNA™ microRNA Array (5th gen - hsa, mmu & rno). microRNA profiling of CB and PB-derived ECFCs from 3 independent donors from each cell source. To identify and understand the regulation of endothelial cell functions through comparing miRNA expression profiling of cord blood (CB) derived endothelial colony forming cells (ECFCs) and peripheral blood (PB) ECFCs Overall design: Two condition experiment, CB vs PB-derived ECFCs. 3 independent donors per ECFC source.
Project description:We profiled miRNA expression in the plasma from healthy subjects and patients with unstable angina pectoris to obtain differentially expressed plasma miRNAs. We randomly selected 25 samples from each group and combined into a sample pool. In this way we obtained 7 and 6 sample pools in control group and case group, respectively. miRNA levels in the plasma were detected with miRCURY LNATM microRNA Array, 6th gen -hsa, mmu & rno. Overall design: 175 healthy subjects and 150 patients with unstable angina pectoris were enrolled in this study. We obtained 13 sample pools through randomly selected mixture of 25 plasma samples from each group into a sample pool.Total RNA was isolated from 0.2 mL pooled plasma sample for microarray detection.
Project description:Both disseminated tumor cells and noncancerous host cells contributed to cancer progression cooperatively in bone marrow. Bone marrow samples were obtained from 4 gastric cancer patients, and were separated into 3 fractions (CD45 positive, CD45 negative/EpCAM positive, and CD14 positive fractions) by the automagnetic-activated cell separation (AutoMACS) system using CD45, EpCAM, and CD14 microbeads (Miltenyi Biotec, Germany). microRNA expression profiles in each fractions were evaluated in order to identify candidate prognostic markers for gastric cancer patients. In 4 patients with gastric cancer, bone marrow samples (40 mL) were obtained from iliac bones. Nucleated cells were collected by gradient centrifugation using Ficoll-Paque PREMIUM (GE Healthcare Life Science, USA) and Leucosep (Greiner Bio-One, Germany) according to the manufacturer’s instructions. Next, we separated bone marrow cells into 3 fractions using MACS: CD45 positive (CD45+), CD45 negative/EpCAM positive (CD45-/EpCAM+), and CD14 positive (CD14+). microRNA expression levels of whole bone marrow cells and each fractions were measured by the miRCURY™ LNA array microarray (6th gen-hsa, mmu & rno#208402, Exiqon, Vedbaek, Denmark). The miRCURY™ LNA array microarray slides were scanned using the Agilent G2505C Microarray Scanner System (Agilent Technologies, Inc., USA) and the data analysis was carried out using the Feature Extraction 10.7.3.1 (Agilent Technologies, Inc., USA).
Project description:MicroRNA microarray profilling analysis was performed on exosomes derived from serum in patients with myeloma in two conditions of therapeutic efficacy, Bortezomib resistance and Bortezomib response. Bortezomib is approved and widely used treating myeloma. Two kinds of sample were analyzed. MicroRNA microarray profilling analysis (using miRCURY LNA microRNA Array, 7th generation REV - hsa, mmu & rno, mirBase release 18, ProductNumber=208520,208521,208522) was performed on exosomes derived from serum in patients with myeloma in two conditions of therapeutic efficacy, Bortezomib resistance and Bortezomib response.
Project description:Comparing the miRNA profile of exosomes from ASML vs ASML CD44v kd pancreatic adenocarcinoma line revealed that the expression level of 33 from the 40 most abundant miRNA differed significantly between ASMLwt and ASML-CD44vkd exosomes In this study tumor cell exosomes, deemed important for intercellular communication were analysed for their miRNA content. Exosomes from a highly metastatic pancreatic adenocarcinoma cell line, ASML and from a CD44v kd of ASML were used for RNA preparation using Trizol reagent, and the total RNA was sent to Genomics core facility,EMBL, Heidelberg for miRCURY LNA microRNA Array, v.11.0 - hsa, mmu & rno
Project description:Noncoding RNAs, especially microRNAs (miRNAs) have been implicated in the regulation of neuronal functions, such as learning, cognition and memory formation. However, the particular miRNAs involved in drug-induced behavioral plasticity are largely unknown. Here we report a novel regulator, miR-218, that inhibits heroin-induced behavioral plasticity. Network propagation-based method revealed several miRNAs that play key roles in drug-addiction, among which, miR-218 was decreased in nucleus accumbens (NAc) after chronic exposure to heroin. Lentiviral overexpression of miR-218 in NAc could inhibit heroin-induced reinforcement in both conditioning place preference (CPP) test and heroin self-administration (SA) experiment. Luciferase activity assay indicated miR-218 could regulate neuroplasticity related genes and directly target Mecp2 3’UTR. Consistently, Mecp2-/y mice exhibited reduced heroin seeking behavior in CPP test. These data reveal a functional role of miR-218 and its target, Mecp2, in the regulation of heroin-induced behavioral plasticity. Overall design: Microarray screening was carried out to identify miRNAs responsive to chronic administration of heroin. Arrays used were miRCURY LNA microRNA Array, v.11.0 - hsa, mmu & rno.
Project description:We have employed whole microRNA microarray to identify changes in microRNA expression in human bone marrow MSCs (hMSC-TERT) during adipocytic differentiation in culture on day 7 and day 13 Human MSC line (hMSC-TERT) were subjectd to adipocytic differentiation for 7 days or 13 days, subsequently, RNA was extracted. The samples were labeled using the miRCURY LNA™ microRNA Hi-Power Labeling Kit, Hy3™/Hy5™ and hybridized on the miRCURY LNA™ microRNA Array (6'th GEN). Array product number 208400; Array version 6'th GEN, Array batch number 34014, miRBase version 17. The 'Legends_rawdata.pdf' contains the column headers (of raw data files) and their detailed description.
Project description:The infection with high-risk human papillomavirus is aetiologically linked to cervical cancer, the role of miRNAs regulated by virus oncogene in cancer progression remain largely unknown. Here, we screened the differentially expressed miRNAs with miRNA array between virus oncogene e6/e7 silenced and not in HPV16-positive cervical cancer cell lines In the study, we screened the differentially expressed miRNAs with miRNA array (Exiqon, miRCURY LNA microRNA array, 7th gen [hsa, miRBase 18]) between virus oncogene e6/e7 silenced and not in HPV16-positive cervical cancer cell lines to found miRNAs regulated by virus oncogene e6/e7. Biological replicates: 3 control, 3 e6/e7 silenced, independently grown and harvested. four replicates per array.
Project description:We investigated the expression profiles of microRNAs (miRNA) in 27 renal cell carcinoma (RCC) FFPE tissues (3 chRCC, 5 papRCC and 18 ccRCC), 4 upper urinary tract-urothelial cell carcinomas of the renal pelvis-ureter (UUT-UCCs) and 20 normal kidneys by using the miRCURY LNA™ microRNA Array, 6th gen (Exiqon, Woburn MA), containing capture probes that target all miRNAs for all species registered in the miRBASE version 16.0. Real-time PCR (qRT-PCR) using appropriate endogenous controls was performed in order to validate the microarray results of the 27 most differentially expressed (DE) miRNAs. We identified 434 miRNAs that were significantly deregulated in all kidney tumours compared to the normal tissues. A total of 126 miRNAs (29%) had increased expression while 303 (69.8%) had decreased expression in RCC. Out of the 434 DE miRNAs, we detected 94 co-up-regulated and 218 co-down-regulated microRNAs among chRCC, papRCC and ccRCC. Of these, 89 and 203 were co-up- and co-down-regulated between RCCs and UUT-UCCs, respectively. We detected 11, 44 and 24 up-regulated miRNAs, which were specific for ccRCC, chRCC and papRCC, respectively. Moreover, 19, 18 and 8 miRNAs were uniquelly down-regulated in ccRCC, chRCC and papRCC, respectively. We also detected 89 and 203 co-up- and co-down-regulated miRNAs between kidney cancer and UUT-UCCs. Five miRNAs were up-regulated specifically in renal tumours and 49 in UUT-UCCs, whereas 15 miRNAs were down-regulated specifically in renal tumours and 89 in UUT-UCCs, respectively. Our data validicate that expression of miRNAs tends to be down-regulated renal cell carcinomas compared with normal kidney. We used 18 ccRCC, 3 chRCC, 5 papRCC, 4 UUT-UCC, 1 undifferentiated carcinoma and 19 normal tissue samples for miRNA profiling. Total RNA (0.5 µg) from each sample and reference was labeled with Hy3™ fluorescent label, using the miRCURY LNA™ microRNA Hi-Power Labeling Kit (Exiqon, Woburn MA). The Hy3™-labeled samples were hybridized to the miRCURY LNA™ microRNA Array, 6th gen (Exiqon, Woburn MA), using an Agilent hybridization SureHyb chamber and gasket slide kits. After hybridization, the microarray slides were scanned at 10 μm using the High-Resolution Microarray Scanner (Agilent Technologies) and stored in an ozone free environment. The image analysis was carried out using the ImaGene 8.0 software (BioDiscovery, Inc., USA). Raw microarray data were filtered, background corrected and quantile normalizated. Normalized data were further extracted, pre-processed and sorted with Microsoft Excel®. MicroRNAs were considered to be significantly differentially expressed if they obtained a p-value<0.05 and a FDR≤0.05.
Project description:The goals of this study are to identify differentially expressed microRNAs in muscle between JDM and normal healthy controls, and to better understand the pathophysiology of JDM. Overall design: Global microRNA expression from the skeletal muscle of 18 children with JDM and 6 healthy pediatric controls was performed on the miRCURY LNA™ microRNA Array (6'th GEN) using Exiqon microRNA array service (Skelstedet 16, 2950, Vedbak, Denmark) and was compared to determine differentially expressed microRNAs between JDM and healthy controls.