Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-5389

ABSTRACT: Transcription profiling of human post-mortem brain tissue (orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls

OTHER RELATED OMICS DATASETS IN: PRJNA104327PRJNA96187PRJNA104325

DISEASE(S): Bipolar Disorder,Normal

PROVIDER: E-GEOD-5389 | ExpressionAtlas | 2015-07-27

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-GEOD-5389-analysis-methods.tsv	Tabular
	E-GEOD-5389-atlasExperimentSummary.Rdata	Rdata
	E-GEOD-5389-configuration.xml	Xml
	E-GEOD-5389-percentile-ranks.tsv	Tabular
	E-GEOD-5389.condensed-sdrf.tsv	Tabular

Items per page:

1 - 5 of 47

Similar Datasets

Transcription profiling of human adult postmortem brain tissue from subjects with bipolar disorder and healthy controls

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

2008-06-13 | E-GEOD-5392 | biostudies-arrayexpress

Expression profiling of human adult postmortem brain tissue from subjects with bipolar disorder and healthy controls

2006-07-27 | GSE5392 | GEO

Transcription profiling of human post-mortem brain tissue (orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls

Project description: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 (orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls. Orbitofrontal cortex tissue from a cohort of 30 subjects was investigated and the final analysis included 10 bipolar and 11 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

2007-07-03 | E-GEOD-5389 | biostudies-arrayexpress

Adult postmortem brain tissue (orbitofrontal cortex) from subjects with bipolar disorder and healthy controls

2006-07-27 | GSE5389 | GEO

Transcription profiling of human brain tissue from subjects with bipolar disorder and healthy controls

Project description: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) from patients with bipolar disorder and matched healthy controls. A cohort of 70 subjects was investigated and the final analysis included 30 bipolar and 31 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

2007-06-24 | E-GEOD-5388 | biostudies-arrayexpress

Adult postmortem brain tissue (dorsolateral prefrontal cortex) from subjects with bipolar disorder and healthy controls

Project description: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) from patients with bipolar disorder and matched healthy controls. A cohort of 70 subjects was investigated and the final analysis included 30 bipolar and 31 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing. Keywords: disease state analysis

2006-07-27 | GSE5388 | GEO

Microarray profiling of PFC, HPC and STR from subjects with schizophrenia, bipolar, MDD or control

Project description:Schizophrenia is a complex psychiatric disorder encompassing a range of symptoms and etiology dependent upon the interaction of genetic and environmental factors. Several risk genes, such as DISC1, have been associated with schizophrenia as well as bipolar disorder (BPD) and major depressive disorder (MDD), consistent with the hypothesis that a shared genetic architecture could contribute to divergent clinical syndromes. The present study compared gene expression profiles across three brain regions in post-mortem tissue from matched subjects with schizophrenia, BPD or MDD and unaffected controls. Post-mortem brain tissue was collected from control subjects and well-matched subjects with schizophrenia, BPD, and MDD (n=19 from each group). RNA was isolated from hippocampus, Brodmann Area 46, and associative striatum and hybridized to U133_Plus2 Affymetrix chips. Data were normalized by RMA, subjected to pairwise comparison followed by Benjamini and Hochberg False Discovery Rate correction (FDR). Samples derived from patients with schizophrenia exhibited many more changes in gene expression across all brain regions than observed in BPD or MDD. Several genes showed changes in both schizophrenia and BPD, though the magnitude of change was usually larger in schizophrenia. Several genes that have variants associated with schizophrenia were found to have altered expression in multiple regions of brains from subjects with schizophrenia. Continued evaluation of circuit-level alterations in gene expression and gene-network relationships may further our understanding of how genetic variants may be influencing biological processes to contribute to psychiatric disease. Pre-frontal cortex, striatum and hippocampus were obtained from subjects with schizophrenia, bipolar disorder, major depressive disorder and matched controls.

2014-01-11 | E-GEOD-53987 | 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

Homo sapiens

Project description:Adult postmortem brain tissue (orbitofrontal cortex) from subjects with bipolar disorder and healthy controls

| PRJNA104327 | ENA

Homo sapiens

Project description:Adult postmortem brain tissue (dorsolateral prefrontal cortex) from subjects with bipolar disorder and healthy controls

| PRJNA104325 | ENA