Project description:We compared repeatability and comparability of microRNA microarray using 5 different platforms. and compared microarray data generated from five different microRNA microarray platforms with quantitative RT-PCR. Our data suggested that the most accurate and repeatable methods for microRNA expression profiling are Agilent and Toray, and the numbers of detected microRNA at Toray are more than at Agilent. Keywords: repeatability, comparability, microRNA, microarray
Project description:We compared repeatability and comparability of microRNA microarray using 5 different platforms. and compared microarray data generated from five different microRNA microarray platforms with quantitative RT-PCR. Our data suggested that the most accurate and repeatable methods for microRNA expression profiling are Agilent and Toray, and the numbers of detected microRNA at Toray are more than at Agilent. Keywords: repeatability, comparability, microRNA, microarray We compared repeatability and comparability of microRNA microarray using 5 different platforms (Agilent, Ambion, Exiqon, Invitrogen, and Toray). In addition, we compared microarray data generated from five different microRNA microarray platforms with quantitative RT-PCR.
Project description:Gene expression profiling of immortalized human mesenchymal stem cells with hTERT/E6/E7 transfected MSCs. hTERT may change gene expression in MSCs. Goal was to determine the gene expressions of immortalized MSCs.
Project description:Transcriptional profiling of human mesenchymal stem cells comparing normoxic MSCs cells with hypoxic MSCs cells. Hypoxia may inhibit senescence of MSCs during expansion. Goal was to determine the effects of hypoxia on global MSCs gene expression.
Project description:Asthma is a chronic inflammatory airway disease characterized by airway inflammation and remodeling. The role of 15-oxo-5Z,8Z,11Z,13E-eicosatetraenoic acid (15-oxoETE), a 15-HETE metabolite catalyzed by 15-prostaglandin dehydrogenase (15-PGDH), has been relatively unexplored in asthma. In this study, we used RNA-seq to explore the effect of 15-KETE on the transcriptome of airway epithelial cells, aiming to identify its potential downstream targets and mechanisms of action.
