Expression data generated from post-mortem human brain tissue originating from neurologically and neuropathologically control individuals
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ABSTRACT: This is a subset of the data set generated by the UK Brain Expression Consortium. This subset has been used specifically to study the effects of age on gene expression in multiple human tissues, and all samples originate from a single brain bank, the MRC Sudden Death Brain and Tissue Bank in Edinburgh. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain. 932 samples are analysed in total originating from 100 Caucasian individuals. From each individual, up to ten brain regions were sampled and analysed.
Project description:This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain. 1231 samples are analysed in total and these samples originate from 134 Caucasian individuals. From each individual, up to ten brain regions were sampled and analysed.
Project description:This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain. 1231 samples are analysed in total and these samples originate from 134 Caucasian individuals. From each individual, up to ten brain regions were sampled and analysed.
Project description:This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain. This SuperSeries is composed of the SubSeries listed below.
Project description:This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain.
Project description:This data set was generated by the UK Brain Expression Consortium and consists of gene expression data generated from post-mortem human brain samples, dissected from 10 brain regions and originating from a large cohort of neurologically and neuropathologically normal individuals. The UK Brain Expression Consortium has generated gene expression data on a large cohort of neurologically and neuropathologically normal individuals in order to better understand gene expression differences across the human brain.
Project description:Differential gene expression profiles of neurospheres derived from different regions of the adult brain. In this dataset, we include data on triplicated biological samples from each of the following brain regions: neocortex, striatum, and subventricular zone. We also include duplicated data on neurospheres derived from the dorsal and ventralforebrain neural tubes and one spinal cord of E14.5 mouse embryos for comparison. Fourteen samples were analyzed in total. To compare the expression profiles across the samples, Affymetrix GeneChip Mouse Genome 430 2.0 Array Platform (total 41,170 probes) was used, and the data were analyzed using Silicon Genetics GeneSpring Software GX7.3.1. The data was normalized to median settings across the entire probe set and samples, and transcripts that are expressed across triplicated samples at levels two-fold or higher than the rest of the samples were considered as significantly enriched in particular biological samples. Comparisons between adult and embryonic samples also identified genes enriched in adult brain-derived samples.
Project description:The ability of high-risk neuroblastoma to survive unfavorable growth conditions and multimodal therapy is hypothesized to result from a phenomenon known as reversible adaptive plasticity (RAP). RAP is a novel phenomenon enabling neuroblastoma cells to transition between a proliferative anchorage dependent (AD) state and a slow growing anoikis-resistant anchorage independent (AI) state. We used microarrays to investigate the global gene expression profiles in AD and AI cells, and to identify the differential expressed genes within signaling pathways contributing to the reversible adaptive plasticity between AD and AI cells. Comparison of microarray data from AD cells (n=4 independent cultures) versus AI cells (n=4 independent cultures) were performed using Partek Genomics Suite 6.5. Differentially expressed genes with an FDR M-bM-^IM-$5% and a fold-change M-bM-^IM-%1.5 were selected for pathway analysis.