Project description:Alzheimer's disease is a progressive neurodegenerative disorder that is hypothesized to involve epigenetic dysfunction. We undertook an epigenome-wide association study across three independent brain tissue cohorts (total n = 999) to identify differential DNA methylation associated with neuropathology in the superior temporal gyrus and prefrontal cortex. We present robust evidence for elevated DNA methylation associated with AD neuropathology across an extended region spanning the HOXA gene cluster on chromosome 7. Prefrontal cortex and superior temporal gyrus tissue from 147 individuals with varying levels of AD pathology. DNA modifications for these samples were quantified using the Illumina Infinium Human 450K Methylation Array.
Project description:Alzheimer's disease is a progressive neurodegenerative disorder that is hypothesized to involve epigenetic dysfunction. We undertook an epigenome-wide association study across three independent brain tissue cohorts (total n = 999) to identify differential DNA methylation associated with neuropathology in the superior temporal gyrus and prefrontal cortex. We present robust evidence for elevated DNA methylation associated with AD neuropathology across an extended region spanning the HOXA gene cluster on chromosome 7.
Project description:Layer II stellate neurons (entorhinal cortex) and layer III cortical neurons (hippocampus CA1, middle temporal gyrus, posterior cingulate, superior frontal gyrus, primary visual cortex) were gene expression profiled. Brain regions are from non-demented individuals with intermediate Alzheimer's disease neuropathologies Keywords: neuronal gene expression profiling
Project description:Methylation analysis of 404 samples (Alzheimer's disease = 225; controls = 179) from two brain regions, the middle temporal gyrus (MTG) and the cerebellum (CBL), using the Illumina 450K methylation array.
Project description:Recent work has identified roles for environmental, genetic and epigenetic factors in AD risk. Motivated by suspected roles for epigenetic modifications in AD, we performed a genome-wide screen of DNA methylation using the Illumina Infinium HumanMethylation450 array platform on bulk tissue samples from the superior temporal gyrus (STG) of AD cases and non-demented controls. We paired a sliding window approach with linear models that account for age, gender, ethnicity, and estimated cellular proportions (neuronal vs. glial), to characterize AD-associated differentially methylated regions (DMRs). Whole DNA was extracted from STG tissue dissections collected from deceased individuals with and without Alzheimers Disease. DNA was bisulfite converted and global DNA methylation levels were assessed using Illumina Infinium HumanMethylation450 BeadChip.
Project description:Recent work has identified roles for environmental, genetic and epigenetic factors in AD risk. Motivated by suspected roles for epigenetic modifications in AD, we performed a genome-wide screen of DNA methylation using the Illumina Infinium HumanMethylation450 array platform on bulk tissue samples from the superior temporal gyrus (STG) of AD cases and non-demented controls. We paired a sliding window approach with linear models that account for age, gender, ethnicity, and estimated cellular proportions (neuronal vs. glial), to characterize AD-associated differentially methylated regions (DMRs).
Project description:Total of 56 microglia samples from postmortem brain tissue of four different brain regions, medial frontal gyrus (MFG), superior temporal gyrus (STG), subventricular zone (SVZ) and thalamus (THA), of 22 donors, encompassing 1 patient with schizophrenia, 13 patients with mood disorder pathology, and 8 control subjects, were isolated and assayed using a genome-wide methylation array to characterize the DNA methylation landscape of human microglia and the factors that contribute to variations in the microglia methylome
Project description:Human post-mortem brain samples (middle temporal gyrus) from Alzheimer's disease (AD) and control individuals were processed for simultaneous coding and non-coding RNA-Seq analysis using a novel RNA-Seq protocol. These data were then analyzed for differential expression.
