Project description:RNA was purified from serum of osteoporotic and healthy postmenopausal mexican women using miRNeasy Serum/Plasma kit (QIAGEN). For microRNA expression analysis we used the Human MicroRNA A+B Cards Set v3.0 TaqMan Low Density Array platform (Applied Biosystems). Analysis was performed in the Expression Suite v.1.1.3 software (Applied Biosystems).
Project description:Dynamic miRNA expression data in 377 miRNA present on Taqman low density array (TLDA) Human MicroRNA Array (A) plates (Applied Biosystems, #4398965).
Project description:Vastus Lateralis muscle biopsies were obtained before and after the training protocol from 6 healthy elderly male people. We chose custom TaqMan low density array cards (Life Technologies) preloaded with 48 selected genes related to the following pathways: myogenesis, apoptosis, protein anabolism/catabolism and antioxidant enzymes to quantitate their gene expression in human skeletal muscle.
Project description:PBMCs were isolated from patients suffering from Malaria or from healthy donors. RNA was extracted from these samples. 400 ng RNA per sample were then reverse transcribed with the Life Technologies miR RT kit with megaplex primers. Reverse transcribed RNA was then loaded on the human Taqman Low Density Array (TLDA) Cards and run according to manufacturer´s recommendations
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). 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.
Project description:To identify serum miRNAs for the diagnosis of HCC, the profiling of 754 human miRNAs was analyzed in sera from six histopathologically confirmed HCC patients and eight CHB controls, using TaqMan Array Human MicroRNA A+B Cards Set v3.0 (Applied Biosystems, Foster City, CA). Serum miRNAs with differential levels between HCC and CHB were identified by comparing serum miRNA profiling of HCC patients with that of CHB controls.
Project description:Primary lung endothelial cells were isolated from wildtype mice and stimulated with the NOD1 ligand TD or NOD2 ligand MDP. Unstimulated samples were used as controls. RNA was extracted from these samples, reverse transcribed and microRNA expression was analyzed using TLDA. 350 ng RNA per sample were then reverse transcribed using TaqMan MicroRNA Reverse Transcription Kit and Megaplex RT Primers for rodent Pool A. Reverse transcribed RNA was then loaded on the Taqman Low Density Array (TLDA SetA, v.2.0 rodent, Life Technologies) Cards and run according to manufacturer´s recommendations.
Project description:PBMCs were isolated from patients suffering from Community Acquired Pneumonia (CAP) or acute exacerbating chronic obstructive pulmonary disease (AECOPD) or from healthy donors. RNA was extracted from these samples. 400 ng RNA per sample were then reverse transcribed with the Life Technologies miR RT kit with megaplex primers. Reverse transcribed RNA was then loaded on the human Taqman Low Density Array (TLDA) Cards and run according to manufacturer´s recommendations
Project description:Human embryonic stem cells (WiCell H9 passage 52) were differentiated following the Novocell protocol (D'Amour et al. Nature Biotechnology, 2005). The two biological replicates (Trial 15 and Trial 16) were analyzed by Real-Time PCR utilizing TaqMan Low Density Array Cards that have been customized for a set of 46 genes specific for endoderm and pancreatic gene expression.
