Mircury lna array

Manufactured by Qiagen

Sourced in Denmark, United States, China

The MiRCURY™ LNA Array is a high-performance microarray platform designed for the comprehensive profiling of microRNAs (miRNAs). It utilizes Locked Nucleic Acid (LNA) technology to provide sensitive and specific detection of miRNA expression levels.

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Lab products found in correlation

Mircury hy3 hy5 power labeling kit, by Qiagen (25 mentions) Mirneasy mini kit, by Qiagen (18 mentions) Trizol, by Thermo Fisher Scientific (13 mentions) Axon genepix 4000b microarray scanner, by Molecular Devices (12 mentions) Genepix pro 6, by Molecular Devices (9 mentions) Axon genepix 4000b, by Molecular Devices (8 mentions) Trizol reagent, by Thermo Fisher Scientific (8 mentions) Wash buffer kit, by Qiagen (7 mentions) Rneasy mini kit, by Qiagen (5 mentions) Mircury hy3tm hy5tm power labeling kit, by Qiagen (5 mentions) Nanodrop nd 1000 spectrophotometer, by Thermo Fisher Scientific (5 mentions) Mircury array power labeling kit, by Qiagen (4 mentions) Genepix pro v6, by Molecular Devices (4 mentions) Nanodrop 1000, by Thermo Fisher Scientific (4 mentions) Mirnaeasy mini kit, by Qiagen (4 mentions) Mircury hy3 hy5 power labelling kit, by Qiagen (3 mentions) Genepix pro 6.0 program, by Molecular Devices (3 mentions) Mirvana mirna isolation kit, by Thermo Fisher Scientific (3 mentions) Mircury lna array station, by Qiagen (2 mentions) Mircury rna isolation kit, by Qiagen (2 mentions)

Spelling variants of this product

MiRCURYTM LNA Array (v.18.0) (47 citations) MiRCURY LNA Array system (8 citations) MiRCURY LNATM microRNA Array (4 citations) MiRCURYTM LNA Array (v.19.0) (4 citations) MiRCURY LNA microRNA array v.11.0 (3 citations) LNA miRCuRY (2 citations) MiRCURY LNATM Array (2 citations) MiRCURY LNA microRNA Arrays (miRBase v.10.0, (2 citations) MiRCURY™ LNA Array (v.11.0) (2 citations) MiRCURY LNATM miRNAs Array v16.0 (1 citations)

84 protocols using mircury lna array

Microarray Analysis of Spinal Cord miRNA

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As we previously reported, rat miRNA microarray analysis was performed with the miRCURY™ LNA Array (version 11.0; Exiqon, Vedbaek, Denmark) [29 (link), 31 (link)]. The L_4–6 segments of the spinal cord were collected at 4 h after reperfusion. According to the manufacturer's instructions, 2.5 μg of total RNA was first labeled with the miRCURY™ Hy3™/Hy5™ Power labeling kit and then hybridized on a miRCURY™ LNA Array (version 18.0; Exiqon, Vedbaek, Denmark).
After removing nonspecifically bound proteins, the microarray slides were scanned by an Axon GenePix 4000B Microarray Scanner (Axon Instruments, CA, USA) for fluorescence detection, and the fluorescence intensities of the scanned images were loaded into the GenePix Pro 6.0 program (Axon Instruments) for feature extraction. The averages of the replicated miRs with intensities of 50 or more were used to calculate a normalization factor. After normalization by the median normalization method, the significantly different miRs were identified by volcano plot filtering. Finally, hierarchical clustering was performed to determine the differences in miR expression by MEV software (version 4.6, TIGR).

Wang H., Yu Q., Zhang Z.L., Ma H, & Li X.Q. (2020). Involvement of the miR-137-3p/CAPN-2 Interaction in Ischemia-Reperfusion-Induced Neuronal Apoptosis through Modulation of p35 Cleavage and Subsequent Caspase-8 Overactivation. Oxidative Medicine and Cellular Longevity, 2020, 2616871.

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miRNA Expression in HUVEC Cells Treated with Irisin

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HUVEC miRNA expression was assessed following stimulation for 12 hours with or without 20 nmol/L irisin using Exiqon miRCURY LNA arrays. Briefly, total RNA was harvested using TRIzol (Invitrogen) and the miRNeasy Mini Kit (QIAGEN) according to the manufacturer's instructions. After RNA quantity measurement using the NanoDrop 1000 (Thermo Fisher Scientific), the samples were labeled using the miRCURY Hy3/Hy5 Power labeling kit (Exiqon) and hybridized on the miRCURY LNA array (Exiqon, version 18.0). The slides were scanned using the Axon GenePix 4000B microarray scanner. Scanned images were then imported into GenePix Pro 6.0 software (Axon) for grid alignment and data extraction. Finally, hierarchical clustering was performed to show distinguishable miRNA expression profiling among samples. Array results were validated by qRT‐PCR.

Zhang Y., Song H., Zhang Y., Wu F., Mu Q., Jiang M., Wang F., Zhang W., Li L., Shao L., Li S., Yang L., Zhang M., Wu Q, & Tang D. (2016). Irisin Inhibits Atherosclerosis by Promoting Endothelial Proliferation Through microRNA126‐5p. Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 5(9), e004031.

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Genome-wide miRNA Profiling Analysis

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KangCheng Biosciences (Shanghai, China) performed the miRNA profiling analysis. To determine the miRNA profiles for the two groups, total RNAs were purified using TRIzol (Invitrogen, Grand Island, NY, USA) and a miRNeasy mini kit (Qiagen, Shenzhen, China), labeled using the miRCURY™ Hy3™/Hy5™ Power labeling kit (Exiqon, Vedbaek, Denmark) and hybridized on the specific miRCURY™ LNA Array (v.18.0, Exiqon, Denmark) platform. The Exiqon miRCURY™ LNA Array (v.18.0) contains 2043 capture probes covering all human miRNAs, and could quantify genome-wide miRNA expression in the two groups. Images on the chip were scanned using an Axon GenePix 4000B microarray scanner (Axon Instruments, Foster City, CA, USA) and imported into GenePix Pro 6.0 software (Axon) for grid alignment and data extraction. MiRNAs with intensities >50 were used to calculate the normalization factor. Expression data were normalized using the median normalization. After normalization, average values of replicate spots of each miRNA were used for statistical analysis; differentially expressed miRNAs were identified through fold change filtering. Data are presented as means ± standard deviations. Analysis of variance tests or unpaired two-tailed Student t tests were used for statistical analysis. The data were regarded as significantly different at P < 0.05.

Meng Q.L., Liu F., Yang X.Y., Liu X.M., Zhang X., Zhang C, & Zhang Z.D. (2014). Identification of latent tuberculosis infection-related microRNAs in human U937 macrophages expressing Mycobacterium tuberculosis Hsp16.3. BMC Microbiology, 14, 37.

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miRNA Microarray Profiling Protocol

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The miRNA microarray study was performed at Kangchen Bio-tech using a miRCURYTM LNA array (v.18.0, Exiqon, Vedbaek, Denmark). All the RNAs were isolated using TRIzol (Invitrogen) and a miRNeasy mini kit (QIAGEN, Hilden, Germany) according to the manufacturers’ instructions. After RNA isolation from the samples, the miRCURY™ Hy3™/Hy5™ Power labeling kit (Exiqon) was used following the manufacturer's guideline for miRNA labelling. Next, the Hy3TM-labeled samples were hybridized on the miRCURYTM LNA array (v.18.0, Exiqon) according to the array manual. Scanned images were then imported into GenePix Pro 6.0 software (Axon) for grid alignment and data extraction. The heatmap was performed using Cluster 3.0 and TreeView 1.1.6r4.

Zhang L., Cheng R, & Huang Y. (2017). MiR-30a inhibits BECN1-mediated autophagy in diabetic cataract. Oncotarget, 8(44), 77360-77368.

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Profiling miRNA Expression in Diabetic Mice

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Microarray analysis was performed by Kangcheng Bio-tech Inc. (Shanghai, China). To profile the expression of miRNAs, the miRNAs in the liver samples from 5 db/db mice and 5 control mice were analyzed by the miRCURY^TM LNA Array (v.14.0 Exiqon). Total RNA was harvested using TRIzol (Invitrogen) and an RNeasy mini kit (Qiagen) according to the manufacturer’s instructions. The samples were labeled using the miRCURY^TM Hy3^TM/Hy5^TM Power labeling kit and hybridized on the miRCURY^TM LNA Array (v.14.0 Exiqon). Scanning was performed with an Axon GenePix 4000B microarray scanner (Molecular Devices, Downingtown, PA, USA). GenePix pro V6.0 (Molecular Devices) was used to read the raw intensity of the image. The intensity of the green signal was calculated after background subtraction, and four replicated spots of each probe on the same slide were averaged. The median normalization method was used to obtain “Normalized Data”: Normalized Data = (Foreground-Background)/median, where the median was the 50% quartile of the miRNA intensity, which was larger than 50 in all samples after background correction25 (link).

Dou L., Meng X., Sui X., Wang S., Shen T., Huang X., Guo J., Fang W., Man Y., Xi J, & Li J. (2015). MiR-19a regulates PTEN expression to mediate glycogen synthesis in hepatocytes. Scientific Reports, 5, 11602.

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Differential miRNA Expression in HCT116 Cells

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According to the manufacturer’s instructions, we isolated the total RNA from parental and PRP4-transfected HCT116 cells using TRIzol reagent and miRNeasy Mini Kit (Qiagen, Hilden, Germany). For each sample, 1 µg of total RNA was 3′-end-labeled with the HY3TM fluorescent label using the miRCURY™ HY3™/Hy5™ Power Labeling kit (Exiqon, Vedbaek, Denmark) and hybridized to miRCURY™ LNA Arrays (version 18.0), according to the manufacturer’s instructions. The seventh generation of miRCURY™ LNA Arrays (Exiqon) contains 3100 capture probes covering all human, mouse, and rat miRNAs annotated in miRBase 18.0. In addition, this array includes capture probes for 25 miRPlus™ human miRNAs. We washed the slides several times after hybridization using the Wash buffer kit (Exiqon) and dried them by centrifugation for 5 min at 400 rpm. Then, we scanned the slides using the Axon GenePix 4000B microarray scanner (Axon Instruments, Foster City, CA, USA). We imported the scanned images into the GenePix Pro 6.0 software (Axon Instruments) for grid alignment and data extraction. We normalized the data to the median values, and we identified the differentially expressed miRNAs through fold change filtering.

Islam S.U., Ahmed M.B., Sonn J.K., Jin E.J, & Lee Y.S. (2022). PRP4 Induces Epithelial–Mesenchymal Transition and Drug Resistance in Colon Cancer Cells via Activation of p53. International Journal of Molecular Sciences, 23(6), 3092.

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Luteolin Alters miRNA Expression in LNCaP Cells

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The LNCaP cells treated with or without luteolin at its IC50 for 24 hours were harvested and subsequently analyzed using miRNA microarray (Kangcheng Biotech Company, Shanghai, People’s Republic of China). Briefly, total RNA was isolated from the cells using TRIzol reagent. The miRNA was separated from 30–50 mg of the total RNA, labeled with the miRCURY Hy3TM/Hy5TM Power Labeling Kit (Exiqon, Vedbaek, Denmark), and hybridized to an miRCURY LNA Array (Exiqon, v11.0). Scanning was performed with an Axon GenePix 4000B microarray scanner (Axon Instruments Inc, Union City, CA, USA). GenePix Pro v6.0 was used to read the raw image intensity. Unsupervised hierarchical clustering was performed on the miRNA expression profile. Each miRNA present in the database was mapped to a precise location in the human genome using a Basic Local Alignment Search Tool (BLAST) search with the default parameters and the maps available from the National Center for Biotechnology Information Human Genome Resources (www.ncbi.nlm.nih.gov). In addition, to validate the present study data, the clones corresponding to each miRNA were identified and mapped to the human genome.

Han K., Meng W., Zhang J.J., Zhou Y., Wang Y.L., Su Y., Lin S.C., Gan Z.H., Sun Y.N, & Min D.L. (2016). Luteolin inhibited proliferation and induced apoptosis of prostate cancer cells through miR-301. OncoTargets and therapy, 9, 3085-3094.

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Identifying Osteogenesis-related miRNAs

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A sixth generation miRCURY LNA Array (v.16.0; Exiqon, Vedbaek, Denmark) was used to analyze differentially expressed miRNAs isolated from 2-mo-old Irs-1^smla/smla mice. In all samples, miRNAs with intensities ≥50 were chosen to calculate the median intensity, with expression data normalized to that median intensity. Differentially expressed osteogenesis-related genes were analyzed with a mouse osteogenesis PCR Array (PAMM-026; SA Biosciences, Frederick, MD, USA), which comprises 84-key osteogenesis-related genes. The array was hybridized with 3 independent mouse RNA samples for each genotype. The raw data were analyzed to determine relative expression levels, calculated with the ΔΔC_t method, with relative expression reported as 2^−ΔΔ^C^t according to the manufacturer’s instructions. After normalization, differentially expressed miRNAs and genes were identified with fold-change filtering. Three prediction algorithms (TargetScanS, miRanda, and PicTar) were used to identify the target genes of differentially expressed miRNAs. When the target gene of a differentially expressed miRNA was also a differentially expressed gene in the osteogenesis PCR array analyses, the gene and miRNA were selected for further study.

Guo Y., Tang C.Y., Man X.F., Tang H.N., Tang J., Wang F., Zhou C.L., Tan S.W., Feng Y.Z, & Zhou H.D. (2016). Insulin receptor substrate-1 time-dependently regulates bone formation by controlling collagen Iα2 expression via miR-342. The FASEB Journal, 30(12), 4214-4226.

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Plasma microRNA Profiling by miRNA Array

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Total RNA of plasma samples was isolated using Trizol LS (Invitrogen, Canada) and purified with an RNeasy mini kit (Qiagen, Germany), and the quantity of RNA was determined using a NanoDrop 8000 spectrophotometer (Thermo Fisher Scientific, US). A miRCURY™ Array Power Labeling kit (Exiqon, Denmark) was used for microRNA labeling, and then Hy3™-labeled samples were hybridized on a miRCURY™ LNA Array (Exiqon). Chips were scanned using an Axon GenePix 4000B microarray scanner (Axon Instruments, CA, US) and the images were imported into GenePix Pro 6.0 software (Axon Instruments, CA, US) for grid alignment and data extraction. The replicated microRNAs were averaged and those with intensities ≥ 30 in all samples were selected for normalization. Differentially expressed microRNAs were identified by a volcano plot and a heat map (MEV ver. 4.8, TIGR).

Wang Y., Dong L., Liu P., Chen Y., Jia S, & Wang Y. (2019). A Randomized Controlled Trial of Chuanhutongfeng Mixture for the Treatment of Chronic Gouty Arthritis by Regulating miRNAs. Evidence-based Complementary and Alternative Medicine : eCAM, 2019, 5917269.

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MicroRNA Profiling of Spinal Cord Injury

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MicroRNAs from L_4–6 segments of spinal cord segments were harvested at12 and 48 h after reperfusion using TRIzol (Invitrogen, Carlsbad, CA, USA) and the miRNeasy mini kit (Qiagen, West Sussex, UK) according to manufacturer’s instructions. After measuring the quantity of RNA using a NanoDrop 1000, the samples were labeled using the miRCURY™ Hy3™/Hy5™ Power labeling kit (Exiqon, Vedbaek, Denmark) and hybridized on a miRCURY™ LNA Array (v.18.0). After washing, the slides were scanned using an Axon GenePix 4000B microarray scanner (Axon Instruments, Foster City, CA,USA). Scanned images were then imported into the GenePix Pro 6.0 program (Axon Instruments) for grid alignment and data extraction. Replicated miRs were averaged, and miRs with intensities ≥50 in all samples were used to calculate a normalization factor. Expressed data were normalized by median normalization. After normalization, the miRs that were significantly differentially expressed were identified by Volcano Plot filtering. Finally, hierarchical clustering was performed to determine the differences of miR expressions among the samples by using TIGR MeV (Multiple Experimental Viewer, version 4.6) software.

Li X.Q., Fang B., Tan W.F., Wang Z.L., Sun X.J., Zhang Z.L, & Ma H. (2016). miR-320a affects spinal cord edema through negatively regulating aquaporin-1 of blood–spinal cord barrier during bimodal stage after ischemia reperfusion injury in rats. BMC Neuroscience, 17, 10.

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