Project description:We used laser capture microdissection to isolate both microvascular endothelial cells and neurons from post mortem brain tissue from patients with schizophrenia and bipolar disorder and healthy controls. RNA was isolated from these cell populations, amplified, and analysed using Affymetrix HG133plus2.0 GeneChips. In the first instance, we used the dataset to compare the neuronal and endothelial data, in order to demonstrate that the predicted differences between cell types could be detected using this methodology. Keywords: cell type comparison, laser capture microdissection The dataset consists of endothelial cell samples from 18 individuals and neuronal samples from an overlapping population of 18 individuals.
Project description:We used laser capture microdissection to isolate both microvascular endothelial cells and neurons from post mortem brain tissue from patients with schizophrenia and bipolar disorder and healthy controls. RNA was isolated from these cell populations, amplified, and analysed using Affymetrix HG133plus2.0 GeneChips. In the first instance, we used the dataset to compare the neuronal and endothelial data, in order to demonstrate that the predicted differences between cell types could be detected using this methodology. Keywords: cell type comparison, laser capture microdissection
Project description:Neurons and endothelial cells were identified by immunohistochemistry in human brains, isolated by laser-capture-microdissection and used to find genes preferentially expressed in the two cell types. Keywords: cell type comparison Laser capture microdissection was used to isolate approximately 1000 neurons and endothelial cells from 6 (for neurons) and 7 (for endothelial cells) human post mortem brain samples. RNA was isolated and amplified (3 linear amplifications) and genome wide expression was measured. This allowed the identification of genes that are differentially expressed between neurons and endothelial cells in the human brain.
Project description:Neurons and endothelial cells were identified by immunohistochemistry in human brains, isolated by laser-capture-microdissection and used to find genes preferentially expressed in the two cell types. Keywords: cell type comparison
Project description:We analyzed differential methylation (via WGBS) between four distinct human brain regions (NAcc-nucleus accumbens, BA9-dorsolateral prefrontal cortex, BA24-anterior cingulate cortex, and HC-hippocampus) in both sorted nuclei and intact tissues. We isolated neuronal and non-neuronal (glial) nuclei from the same six individuals for each tissue via FACS using the neuronal marker, NeuN. Additionally, we performed WGBS from non-sorted tissues from these same brain regions in a total of 12 individuals (BA9 n = 9; BA24 n = 5; HC n = 6; NAcc n = 7). To complement our DNA methylation analyses, we measured gene expression (RNA-seq) and chromatin accessibility (ATAC-seq) in neuronal and non-neuronal nuclei from the nucleus accumbens and dorsolateral prefrontal cortex from six more individuals. We then performed an integrative analysis to understand how the epigenome contributes to brain region-specific function.
Project description:We analyzed differential methylation (via WGBS) between four distinct human brain regions (NAcc-nucleus accumbens, BA9-dorsolateral prefrontal cortex, BA24-anterior cingulate cortex, and HC-hippocampus) in both sorted nuclei and intact tissues. We isolated neuronal and non-neuronal (glial) nuclei from the same six individuals for each tissue via FACS using the neuronal marker, NeuN. Additionally, we performed WGBS from non-sorted tissues from these same brain regions in a total of 12 individuals (BA9 n = 9; BA24 n = 5; HC n = 6; NAcc n = 7). To complement our DNA methylation analyses, we measured gene expression (RNA-seq) and chromatin accessibility (ATAC-seq) in neuronal and non-neuronal nuclei from the nucleus accumbens and dorsolateral prefrontal cortex from six more individuals. We then performed an integrative analysis to understand how the epigenome contributes to brain region-specific function.
Project description:We analyzed differential methylation (via WGBS) between four distinct human brain regions (NAcc-nucleus accumbens, BA9-dorsolateral prefrontal cortex, BA24-anterior cingulate cortex, and HC-hippocampus) in both sorted nuclei and intact tissues. We isolated neuronal and non-neuronal (glial) nuclei from the same six individuals for each tissue via FACS using the neuronal marker, NeuN. Additionally, we performed WGBS from non-sorted tissues from these same brain regions in a total of 12 individuals (BA9 n = 9; BA24 n = 5; HC n = 6; NAcc n = 7). To complement our DNA methylation analyses, we measured gene expression (RNA-seq) and chromatin accessibility (ATAC-seq) in neuronal and non-neuronal nuclei from the nucleus accumbens and dorsolateral prefrontal cortex from six more individuals. We then performed an integrative analysis to understand how the epigenome contributes to brain region-specific function.
Project description:AP and phellogen gene expressions were compared with the cortex using microarrays. These tissues were isolated by laser capture microdissection (LCM).
Project description:This SuperSeries is composed of the following subset Series:; GSE5388: Adult postmortem brain tissue (dorsolateral prefrontal cortex) in subjects with bipolar disorder; GSE5389: Adult postmortem brain tissue (ortibtofrontal cortex) in subjects with bipolar disorder; Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex and orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls. Experiment Overall Design: Refer to individual Series
Project description:H3K27ac ChIP-seq on dorsolateral prefrontal cortex tissue male adult (89 years) originated from dorsolateral prefrontal cortex For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODE_Data_Use_Policy_for_External_Users_03-07-14.pdf
