DNA methylation analysis of the autistic brain reveals dysregulated biological pathways
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE53924 | GEO | 2014/09/03
SECONDARY ACCESSION(S): PRJNA233969
REPOSITORIES: GEO
Similar Datasets
Project description:Genome wide DNA methylation profiling of post-mortem human brain samples from both autistic individuals and nonautistic individuals. Samples of the frontal cortex (BA10) and cingulate cortex (BA24) were examined from each individual. Bisulphite converted DNA from the 45 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip
2014-09-03 | E-GEOD-53924 | biostudies-arrayexpress
Project description:Schizophrenia (SZ) and bipolar disorder (BD) are severe neuropsychiatric disorders with serious impact on patients, together termed major psychosis. Recently, long intergenic non-coding RNAs (lincRNAs) were reported to play important roles in mental diseases. However, little was known about their molecular mechanism in pathogenesis of SZ and BD. Here, we performed RNA sequencing on 82 post-mortem brain tissues from three brain regions (orbitofrontal cortex (BA11), anterior cingulate cortex (BA24) and dorsolateral prefrontal cortex (BA9)) of patients with SZ and BD and control subjects, generating over one billion reads. We characterized lincRNA transcriptome in the three brain regions and identified 20 differentially expressed lincRNAs (DELincRNAs) in BA11 for BD, 34 and 1 in BA24 and BA9 for SZ, respectively. Our results showed that these DELincRNAs exhibited brain region-specific patterns. Applying weighted gene co-expression network analysis, we revealed that DELincRNAs together with other genes can function as modules to perform different functions in different brain regions, such as immune system development in BA24 and oligodendrocyte differentiation in BA9. Additionally, we found that DNA methylation alteration could partly explain the dysregulation of lincRNAs, some of which could function as enhancers in the pathogenesis of major psychosis. Together, we performed systematical characterization of dysfunctional lincRNAs in multiple brain regions of major psychosis, which provided a valuable resource to understand their roles in SZ and BD pathology and helped to discover novel biomarkers. RNA sequencing of 82 brain samples including each of 19 from BA9 and BA24 and 44 from BA11. We performed RNA sequencing on three brain regions namely the BA11 (part of orbitofrontal cortex), BA24 (part of anterior cingulate) and BA9 (part of dorsolateral prefrontal cortex) from SZ and BD patients and psychiatrically normal individuals.In summary, there were 44 BA11 samples from 16 SZ, 16 BD and 12 control subjects, and 19 BA24 and 19 BA9 samples from the same subjects including 6 SZ, 7 BD and 6 controls.
2016-09-01 | E-GEOD-78936 | biostudies-arrayexpress
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.
2018-12-17 | GSE96614 | GEO
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.
2018-12-17 | GSE96613 | GEO
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.
2018-12-17 | GSE96612 | GEO
Project description:Despite the identification of numerous autism susceptibility genes, the pathobiology of autism remains unknown. The present âcase-controlâ study takes a global approach to understanding the molecular basis of autism spectrum disorders based upon large-scale gene expression profiling. DNA microarray analyses were conducted on lymphoblastoid cell lines from over 20 sib pairs in which one sibling had a diagnosis of autism and the other was not affected in order to identify biochemical and signaling pathways which are differentially regulated in cells from autistic and nonautistic siblings. Bioinformatics and gene ontological analyses of the data implicate genes which are involved in nervous system development, inflammation, and cytoskeletal organization, in addition to genes which may be relevant to gastrointestinal or other physiological symptoms often associated with autism. Moreover, the data further suggests that these processes may be modulated by cholesterol/steroid metabolism, especially at the level of androgenic hormones. Elevation of male hormones, in turn, has been suggested as a possible factor influencing susceptibility to autism, which affects ~4 times as many males as females. Metabolic profiling of steroid hormones in lymphoblastoid cell lines from several pairs of siblings reveals higher levels of testosterone in the autistic sibling, which is consistent with the increased expression of two genes involved in the steroidogenesis pathway. Global gene expression profiling of cultured cells from ASD probands thus serves as a window to underlying metabolic and signaling deficits that may be relevant to the pathobiology of autism. Gene expression profiling of LCL from autistic (21) and nonautistic (17) siblings (4 sets of autistic twins included) were obtained using a custom-printed DNA microarray containing 39,936 elements (TIGR 40K Human array, GPL3427) and a reference design in which each sample was compared to the Stratagene Universal Human RNA standard. Following data normalization, the ratios of expression values for the autistic proband relative to his normal unaffected sibling were determined. Related siblings are identified by their common family ID# (AU****) as provided by the Autism Resource Genetic Exchange (AGRE) repository (and listed in Sample title). Differentially expressed genes were determined across all ratioed expression values for sib pairs (autistic vs. control) using one-class SAM (Statistical Analysis of Microarrays) analysis.
2010-05-15 | E-GEOD-15451 | biostudies-arrayexpress
Project description:Schizophrenia (SZ) and bipolar disorder (BD) are severe neuropsychiatric disorders with serious impact on patients, together termed “major psychosis”. Recently, long intergenic non-coding RNAs (lincRNAs) were reported to play important roles in mental diseases. However, little was known about their molecular mechanism in pathogenesis of SZ and BD. Here, we performed RNA sequencing on 82 post-mortem brain tissues from three brain regions (orbitofrontal cortex (BA11), anterior cingulate cortex (BA24) and dorsolateral prefrontal cortex (BA9)) of patients with SZ and BD and control subjects, generating over one billion reads. We characterized lincRNA transcriptome in the three brain regions and identified 20 differentially expressed lincRNAs (DELincRNAs) in BA11 for BD, 34 and 1 in BA24 and BA9 for SZ, respectively. Our results showed that these DELincRNAs exhibited brain region-specific patterns. Applying weighted gene co-expression network analysis, we revealed that DELincRNAs together with other genes can function as modules to perform different functions in different brain regions, such as immune system development in BA24 and oligodendrocyte differentiation in BA9. Additionally, we found that DNA methylation alteration could partly explain the dysregulation of lincRNAs, some of which could function as enhancers in the pathogenesis of major psychosis. Together, we performed systematical characterization of dysfunctional lincRNAs in multiple brain regions of major psychosis, which provided a valuable resource to understand their roles in SZ and BD pathology and helped to discover novel biomarkers.
2016-09-01 | GSE78936 | GEO
Project description:Transcriptional analysis of the superior temporal cortex (BA22) in schizophrenia: Pathway insight into disease pathology and drug development Schizophrenia is a highly debilitating psychiatric disorder which is known to have heritable genetic and environmental components. To gain some insight into the mechanisms underpinning both positive and negative symptoms of the disease, we determined the genome wide expression of mRNA transcripts in post-mortem tissue from the superior temporal cortex (Brodmann Area 22, BA22) in schizophrenic and control patients. The BA22 region is known to mediate the positive pathophysiology of schizophrenia; we compared this to the anterior prefrontal cortex (BA10) from the same subjects, which is known to mediate negative symptoms. Following adjustments for confounding clinical, sample and experimental sources of variation, we carried out gene set enrichment analysis in each region using pathway data. We identified an over-representation of genes involved in cytoskeletal remodelling, neurodevelopment, cell adhesion, cellular signalling, neurotransmission and autophagy. Collectively our analysis indicates a disruption of processes underpinning synaptic plasticity in both regions. Region-specific changes support the dysregulation of distinct pathways in the BA10 and BA22 regions. This may highlight new therapeutic opportunities to treat both negative and positive symptoms of the disease. Post-mortem derived BA22 tissue from schizophrenic and control patients were compared. Age, gender, post-mortem delay and pH of brain lysates data were also captured.
2011-12-31 | E-GEOD-21935 | biostudies-arrayexpress
Project description:Autism is currently considered a multigene disorder with epigenetic influences. To investigate the contribution of DNA methylation to autism spectrum disorders, we have recently completed large-scale methylation profiling by CpG island microarray analysis of lymphoblastoid cell lines (LCL) derived from monozygotic twins discordant for diagnosis of autism and their nonautistic siblings. Methylation profiling revealed many candidate genes differentially methylated between discordant MZ twins as well as between both twins and nonautistic siblings. Bioinformatics analysis of the differentially methylated genes demonstrated enrichment for high level functions including gene transcription, nervous system development, cell death/survival, and other biological processes implicated in autism. The methylation status of two of these candidate genes, BCL-2 and retinoic acid receptor (RAR)-related orphan receptor alpha (RORA), was further confirmed by bisulfite sequencing and methylation-specific PCR, respectively. Immunohistochemical analyses of tissue arrays containing slices of the cerebellum and frontal cortex of autistic and age- and sex-matched control subjects revealed decreased expression of RORA and BCL-2 proteins in the autistic brain. Our data thus confirm the role of epigenetic regulation of gene expression via differential DNA methylation in idiopathic autism, and furthermore link molecular changes in a peripheral cell model with brain pathobiology in autism. Global methylation profiling was performed on lymphoblastoid cell lines (LCLs) derived from three pairs of male monozygotic twins discordant for diagnosis of autism as determined by the Autism Diagnostic Interview-Revised (ADI-R). As controls, cell lines derived from non-autistic siblings of two pairs of twins were also included in the analyses, in addition to cell lines derived from a set of monozygotic twins unaffected by autism. For all paired analyses, a direct comparison was performed in which the methylation-enriched fractions from two individuals were pooled and hybridized onto the same microarray. In addition, indirect comparisons were performed by co-hybridizing the methylation-enriched (MIRA) fraction with the respective unenriched DNA fraction obtained from the same individual. For each paired analysis (between autistic MZ twins and/or between autistic co-twin and unaffected sibling), a total number of 4 replicates were performed, including direct and indirect comparisons.
2010-04-27 | E-GEOD-21395 | biostudies-arrayexpress
Project description:The aim of this work was to test the mRNA polyadenylation status in the brain of autistic patients. We performed poly(U)-chromatography on RNA purified from post-mortem prefrontal cortex tissue of control and idiopathic ASD cases.
2020-03-06 | GSE113834 | GEO