Project description:GeneChip® Mouse Gene 2.0 ST Array for C57BL/6 mouse skin dermal primary lymphatic endothelial cells (Ms LEC) and mouse lymphatic endothelial cell line SVEC4-10 GeneChip® Human Gene 2.0 ST Array for human primary lymphatic endothelial cells (Hu LEC) Total RNA from lymphatic cell line SVEC4-10 were used for GeneChip® Mouse Gene 2.0 ST Array.
Project description:Gene expression profiles of adrenocortical carcinomas were analyzed using Affymetrix Human Gene 2.0 ST Array to identify homogeneous molecular subgroups
Project description:We investigated transcriptome alterations in the prefrontal cortex (BA) of patients with Alzheimer’s disease (AD), dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD) when compared with elderly controls without neurological or psychiatric diseases (CTRL) using Affymetrix Human Transcriptome Array 2.0 All brain samples were provided by the Brains for Dementia Research (BDR), UK. All cases were prospectively assessed by experienced clinicians using validated clinical rating instruments. The samples processed in each group were matched for age, sex and postmortem interval (PMI) as far as possible.
Project description:To identify differential expression of transcripts in between NDMC depots, we performed global gene and transcript expression profiling of primary NDMC1 and NDMC2 using Affymetrix Human Transcriptome 2.0 expression arrays.
Project description:To identify aberrant expression of transcripts in prostate cancer, we performed global gene and transcript expression profiling of normal prostate epithelial cells (PrEC) and the prostate cancer cell line LNCaP using Affymetrix Human Transcriptome 2.0 expression arrays.
Project description:Comparison of total RNA-seq and Affymetrix GeneChip(R) Human Transcriptome Array 2.0 analysis methods and Affymetrix GeneChip® WT PLUS Reagent and NuGEN Ovation® PICO WTA System V2 amplification methods for the detection of significant differentially expressed genes isolated from whole blood and brain RNA samples Affymetrix and NuGEN amplification methods are compared to determine which is most efficient, cost effective, and accurate in the detection of differentialy expressed transcript clusters on the HTA 2.0 microarray The optimum amplification microarray data is compared to total RNA-seq analysis of the same samples to determine which is the most efficient, cost effective, and accurate method of detecting differentially expressed genes