Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression from human prefrontal cortex (BA10)

ABSTRACT: We performed the oligonucleotide microarray analysis in bipolar disorder, major depression, schizophrenia, and control subjects using postmortem prefrontal cortices provided by the Stanley Foundation Brain Collection. By comparing the gene expression profiles of similar but distinctive mental disorders, we explored the uniqueness of bipolar disorder and its similarity to other mental disorders at the molecular level. Notably, most of the altered gene expressions in each disease were not shared by one another, suggesting the molecular distinctiveness of these mental disorders. We found a tendency of downregulation of the genes encoding receptor, channels or transporters, and upregulation of the genes encoding stress response proteins or molecular chaperons in bipolar disorder. Altered expressions in bipolar disorder shared by other mental disorders mainly consisted of upregulation of the genes encoding proteins for transcription or translation. The genes identified in this study would be useful for the understanding of the pathophysiology of bipolar disorder, as well as the common pathophysiological background in major mental disorders at the molecular level. Keywords: disease state analysis

ORGANISM(S): Homo sapiens

PROVIDER: GSE12654 | GEO | 2008/09/04

SECONDARY ACCESSION(S): PRJNA113059

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcription profiling of human prefrontal cortex (BA10)

Project description:We performed the oligonucleotide microarray analysis in bipolar disorder, major depression, schizophrenia, and control subjects using postmortem prefrontal cortices provided by the Stanley Foundation Brain Collection. By comparing the gene expression profiles of similar but distinctive mental disorders, we explored the uniqueness of bipolar disorder and its similarity to other mental disorders at the molecular level. Notably, most of the altered gene expressions in each disease were not shared by one another, suggesting the molecular distinctiveness of these mental disorders. We found a tendency of downregulation of the genes encoding receptor, channels or transporters, and upregulation of the genes encoding stress response proteins or molecular chaperons in bipolar disorder. Altered expressions in bipolar disorder shared by other mental disorders mainly consisted of upregulation of the genes encoding proteins for transcription or translation. The genes identified in this study would be useful for the understanding of the pathophysiology of bipolar disorder, as well as the common pathophysiological background in major mental disorders at the molecular level. Experiment Overall Design: A total of 50 postmortem brains obtained from the Stanley Medical Research Institute were used for DNA microarray analysis. Fresh frozen samples were used for RNA extraction.

2008-10-25 | E-GEOD-12654 | biostudies-arrayexpress

Unique plasma proteomic signatures for adolescent psychiatric disorders

Project description:We conducted proteomic profiling of plasma, identifying both overlapping and unique differential proteins in adolescent patients diagnosed with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ). Our results showed that the protein signatures of adolescent psychiatric disorders differ significantly from those of adults. We propose potential targets for drug development aimed at the prevention or precision therapy of these psychiatric disorders. These findings enhance our understanding of the molecular etiology of adolescent psychiatric disorders. The specific biomolecular signatures of MDD, BD, and SZ could potentially serve as targets for the development of novel interventions aimed at prevention, early diagnosis, and treatment of these mental health conditions.

2023-09-18 | PXD045434 | iProX

Whole transcriptome analysis of postmortem human hippocampus dentate gyrus granlule cells

Project description:We investigated the transcriptome of dentate gyrus (DG) granule cells in postmortem hippocampus from 79 subjects with mental illness (schizophrenia, bipolar disorder, major depression) or non-psychiatric controls.

2014-04-09 | GSE42546 | GEO

Transcriptional profiling of monocytes of bipolar patients and controls

Project description:Bipolar disorder (BD) is a psychiatric disorder in which the core feature is pathological disturbance in mood ranging from extreme elation (mania) to severe depression. Study has shown an aberrant pro-inflammatory status of monocytes/macrophages in mood disorders. Therefore, this study aimed at studying the monocyte compartment in Bipolar Disorder, by transcription profiling of CD14+ monocytes in patients and controls.

2008-01-01 | E-MEXP-1275 | biostudies-arrayexpress

Promoter-wide profiling of DNA hydroxymethylation in prefrontal cortex of healthy controls

Project description:Bipolar disorder (BD) is a severe mental disorder characterized by repeated mood swings. Although genetic factors with small effect sizes are collectively associated with the pathophysiology of BD, the underlying molecular mechanisms, especially how environmental factors affect the brain genome, remain largely unknown. We revealed neuronal cell-type-specific, pathophysiology-related DNA methylation changes in the prefrontal cortex (PFC) of BD patients, highlighting the importance of the neural epigenome for understanding BD.

2021-04-09 | GSE137259 | GEO

Promoter-wide profiling of DNA methylation in human neuroblastoma cells cultured with mood stabilizers.

2021-04-09 | GSE137254 | GEO

Promoter-wide profiling of DNA methylation in profrontal cortex with patients with bipolar disorder

2021-04-09 | GSE137723 | GEO

Gene-expression profiles after siRNA knockdown and overexpression of bromodomian containing 1 (BRD1) in HEK293T cells

Project description:Background: The bromodomain containing 1 (BRD1) gene has been implicated with transcriptional regulation, brain development and susceptibility to schizophrenia and bipolar disorder. Results: To advance the understanding of BRD1 and its role in mental disorders, we characterized the protein and chromatin interactions of the BRD1 isoforms, BRD1-S and BRD1-L, by a series of investigations and integration of functional molecular data with human genetic data. We present several novel protein interactions of BRD1, including proteins previously implicated with mental disorders. By BRD1-S and BRD1-L chromatin immunoprecipitation followed by next generation sequencing we identified binding to promoter regions of 1540 and 823 genes, respectively, and showed correlation between BRD1-S and BRD1-L binding and regulation of gene expression. The identified BRD1 interaction network was found to be predominantly co-expressed with BRD1 mRNA in human brain and enriched for pathways involved in gene expression and brain function. By interrogation of large data sets from genome-wide association studies, we further demonstrate that the BRD1 interaction network is enriched for schizophrenia risk. Conclusion: Our results show that BRD1 interacts with chromatin remodeling proteins, e.g. PBRM1, as well as histone modifiers, e.g. MYST2 and SUV420H1. We find that BRD1 primarily binds in close proximity to transcription start sites and regulates expression of numerous genes, many of which are involved with brain development and susceptibility to mental disorders. Our findings indicate that BRD1 acts as a regulatory hub in a comprehensive schizophrenia risk network which plays a role in many brain regions throughout life, implicating e.g.striatum, hippocampus, and amygdala at mid fetal stages. 9 expression arrays performed in HEK293T cells

2016-03-16 | E-GEOD-79255 | biostudies-arrayexpress

Transcriptome profiling of the human dorsal striatum in bipolar disorder

Project description:Bipolar disorder (BD) is a highly heritable and heterogeneous mental illness whose manifestations often include impulsive and risk-taking behavior. This particular phenotype suggests that abnormal striatal function could be involved in BD etiology, yet most transcriptomic studies of this disorder have concentrated on cortical brain regions. We report the first transcriptome profiling by RNA-Seq of the human dorsal striatum comparing bipolar and control subjects. Differential expression analysis and functional pathway enrichment analysis were performed to identify changes in gene expression that correlate with BD status. Further co-expression and enrichment analyses were performed to identify sets of correlated genes that show association to BD. Total RNA samples were isolated from 36 postmortem dorsal striatum subjects (18 bipolar and 18 control) and sequenced. One outlier sample was removed and 35 samples (18 bipolar and 17 control) were analyzed.

2016-08-10 | E-GEOD-80336 | biostudies-arrayexpress

Gene expression profiles of patients with schizophrenia, bipolar disorder and healthy controls

Project description:Schizophrenia (SZ) and bipolar disorder (BD) are severe psychiatric conditions, with a lifetime prevalence of about 1%. Both disorders have a neurodevelopment component, with onset of symptoms occurring most frequently during late adolescence or early adulthood. Genetic findings indicate the existence of an overlap in genetic susceptibility across the disorders. These gene expression profiles were used to identify the molecular mechanisms that differentiate SZ and BP from healthy controls but also that distinguish both from healthy individuals. They were also used to expand an analysis from an experiment that searched molecular alterations in human induced pluripotent stem cells derived from fibroblasts from control subject and individual with schizophrenia and further differentiated to neuron to identify genes relevant for the development of schizophrenia (GSE62105). Brain tissue (frontal cortex) from 30 healthy controls, 29 bipolar disorder patients and 29 schizophrenia patients were analyzed. The reference is an in-house pool of RNA extracted from 15 human cell lines.

2014-10-11 | E-GEOD-62191 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data