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:Bipolar disorder is a severe and heritable psychiatric disorder and affects up to 1% of the population worldwide. Lithium is recommended as first-line treatment for the maintenance treatment of bipolar-affective disorder in current guidelines, its molecular modes of action are however poorly understood. Cell models derived from bipolar patients could prove useful to gain more insight in the molecular mechanisms of bipolar disorder and the common pharmacological treatments. As primary neuronal cell lines cannot be easily derived from patients, peripheral cell models should be evaluated in their usefulness to study pathomechanisms and the mode of action of medication as well as in regard to develop biomarkers for diagnosis and treatment response.
Project description:The goals of this study are to examine responses to inflammation in astrocytes from induced pluripotent stem cells derived from healthy controls and bipolar disorder patients. We examine the transcriptomic inflmmatory signature of generated astrocytes following Il1Beta exposure in BD vs. control Results: BD-patient astrocytes show a unique inflammatory response with differentially regulated genes.
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:Emerging high-throughput proteomic technologies have recently been considered as a powerful means of identifying substrates involved in mood disorders. We performed proteomic profiling using liquid chromatography-tandem mass spectrometry to identify dysregulated proteins in plasma samples of 44, 49, and 50 patients with major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia , respectively, in comparison to 51 healthy controls (HCs).
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.
Project description:Bipolar disorder is a severe, lifelong psychiatric disease. The main underlying pathophysiology of the disease is still incomprehensible. Many studies have suggested that many genes of small impact in combination with environmental factors contribute to the expression of the disease. In this study comparative transcriptomic profiling to characterize skin fibroblasts gene expression of bipolar disorder patients compared to healthy controls has been performed.
Project description:The goal of this project is to study transcriptome change by knocking down ZNF804A, a schizophrenia and bipolar disorder candidate gene, in early neurons derived from iPSCs. Neural progenitor cells (NPCs) were developed from human induced pluripotent stem cells (iPSCs) and transduced by two independent shRNA vectors targeting ZNF804A, a schizophrenia and bipolar disorder candidate gene. After recovery and selection in puromycin, neuronal differentiation was induced. After 14 days, RNA was recovered and analyzed by RNA-seq. The expression profiles were compared with NPCs that were transduced with scrambled control vectors. This corresponds to controls 1-3 and KD 1-3, which was carried out on a male iPSC line. Scramble 1 and 2 and KD1 and 2 are technical replicates. Scrambled 3 and KD 3 were carried out on an independent NPC culture. For control 4 and KD4, neuronal differentiation was induced, and on day 10 the cells were transduced with the same ZNF804A KD and scrambled control vectors used for scrambled control 3 and KD3. In addition, this last set was carried out on a female iPSC line
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: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.