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ABSTRACT:
PROVIDER: PRJNA137015 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Marked Reduction of AKT1 Expression and Deregulation of AKT1-associated Pathways in Peripheral Blood Mononuclear Cells of Schizophrenia Patients
2025-01-24 | E-GEOD-27383 | ExpressionAtlas
Project description:Recent studies have suggested that deregulated AKT1 signaling is associated with schizophrenia. We hypothesized that if this is indeed the case, we should observe both decreased AKT1 expression as well as deregulation of AKT1 regulated pathways in Peripheral Blood Mononuclear Cells (PBMCs) of schizophrenia patients. We therefore examined PBMC expression levels of AKT1 in schizophrenia patients versus controls, and examined whether functional biological processes in which AKT1 plays an important role are deregulated in schizophrenia patients. We performed a case-control study, investigating whole-genome PBMC gene expression in male, recent onset (<5 years) schizophrenia patients (N=43) as compared to controls (N=29). Genes, differentially expressed between patients and controls were identified using ANOVA with Benjamini-Hochberg correction (false discovery rate (FDR)= 0.05). Functional aspects of the deregulated set of genes were investigated with the Ingenuity Pathway Analysis (IPA) Software Tool. From each participant 30 ml of blood was drawn into heparinized tubes. All blood samples were obtained between 10.00 and 11.00 am to minimize diurnal variation. PBMC’s were isolated by Ficoll gradient separation, started within 20 minutes after the drawing of blood and performed with minimum time variation. Cells were subsequently disrupted (Qiashredder kit; Qiagen), and RNA was isolated (RNeasy minikit; Qiagen) with an additional DNAse digestion step (RNase-free DNase set; Qiagen), all according to the manufacturer’s protocol, diluted in nuclease free water, and frozen at –80 C before use. Before freezing, RNA purity and quantity was assessed with the NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies). After thawing the isolated RNA was biotinylated into cRNA using the One-Cycle Target Labeling and Control Reagents Kit (Affymetric Co) according to the manufacturer’s protocol. Before hybridisation RNA quality and integrity was assessed using the Agilent 2100 BioAnalyzer (Agilent). Biotinylated cRNA was hybridized to the Affymetrix Human Genome U133 plus 2.0 GeneChip© microarray containing 54,675 probe sets (Affymetrix Co). Each sample was individually biotinylated and hybridized to an individual microarray. Biotinylation was performed in batches with randomisation of patients and controls according to their ratios across the batches. The arrays were scanned and analyzed using Affymetrix Microarray Suite 4.2 software. Scanning was performed in three batches with randomization of patients and controls according to their ratios across the batches. A case-control study, investigating whole-genome PBMC gene expression in male, recent onset (<5 years) schizophrenia patients (N=43) as compared to controls (N=29). Patients consisted of two subgroups: acutely admitted, severely psychotic (N=22), and remitted patients (N=21). Genes, differentially expressed between patients and controls were identified using ANOVA with Benjamini-Hochberg correction (false discovery rate (FDR)= 0.05).
2013-07-01 | E-GEOD-27383 | biostudies-arrayexpress
Project description:Recent studies have suggested that deregulated AKT1 signaling is associated with schizophrenia. We hypothesized that if this is indeed the case, we should observe both decreased AKT1 expression as well as deregulation of AKT1 regulated pathways in Peripheral Blood Mononuclear Cells (PBMCs) of schizophrenia patients. We therefore examined PBMC expression levels of AKT1 in schizophrenia patients versus controls, and examined whether functional biological processes in which AKT1 plays an important role are deregulated in schizophrenia patients. We performed a case-control study, investigating whole-genome PBMC gene expression in male, recent onset (<5 years) schizophrenia patients (N=43) as compared to controls (N=29). Genes, differentially expressed between patients and controls were identified using ANOVA with Benjamini-Hochberg correction (false discovery rate (FDR)= 0.05). Functional aspects of the deregulated set of genes were investigated with the Ingenuity Pathway Analysis (IPA) Software Tool. From each participant 30 ml of blood was drawn into heparinized tubes. All blood samples were obtained between 10.00 and 11.00 am to minimize diurnal variation. PBMC’s were isolated by Ficoll gradient separation, started within 20 minutes after the drawing of blood and performed with minimum time variation. Cells were subsequently disrupted (Qiashredder kit; Qiagen), and RNA was isolated (RNeasy minikit; Qiagen) with an additional DNAse digestion step (RNase-free DNase set; Qiagen), all according to the manufacturer’s protocol, diluted in nuclease free water, and frozen at –80 C before use. Before freezing, RNA purity and quantity was assessed with the NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies). After thawing the isolated RNA was biotinylated into cRNA using the One-Cycle Target Labeling and Control Reagents Kit (Affymetric Co) according to the manufacturer’s protocol. Before hybridisation RNA quality and integrity was assessed using the Agilent 2100 BioAnalyzer (Agilent). Biotinylated cRNA was hybridized to the Affymetrix Human Genome U133 plus 2.0 GeneChip© microarray containing 54,675 probe sets (Affymetrix Co). Each sample was individually biotinylated and hybridized to an individual microarray. Biotinylation was performed in batches with randomisation of patients and controls according to their ratios across the batches. The arrays were scanned and analyzed using Affymetrix Microarray Suite 4.2 software. Scanning was performed in three batches with randomization of patients and controls according to their ratios across the batches.
2013-07-01 | GSE27383 | GEO
Project description:Recent studies suggest that genetic and environmental factors do not account for all the schizophrenia risk and epigenetics also plays a role in disease susceptibility. DNA methylation is a heritable epigenetic modification that can regulate gene expression. Genome-Wide DNA methylation analysis was performed on post-mortem human brain tissue from 24 patients with schizophrenia and 24 unaffected controls. DNA methylation was assessed at over 485 000 CpG sites using the Illumina Infinium Human Methylation450 Bead Chip. After adjusting for age and post-mortem interval (PMI), 4 641 probes corresponding to 2 929 unique genes were found to be differentially methylated. Of those genes, 1 291 were located in a CpG island and 817 were in a promoter region. These include NOS1, AKT1, DTNBP1, DNMT1, PPP3CC and SOX10 which have previously been associated with schizophrenia. More than 100 of these genes overlap with a previous DNA methylation study of peripheral blood from schizophrenia patients in which 27 000 CpG sites were analysed. Unsupervised clustering analysis of the top 3 000 most variable probes revealed two distinct groups with significantly more people with schizophrenia in cluster one compared to controls (p = 1.74x10-4). The first cluster was composed of 88% of patients with schizophrenia and only 12% controls while the second cluster was composed of 27% of patients with schizophrenia and 73% controls. These results strongly suggest that differential DNA methylation is important in schizophrenia etiology and add support for the use of DNA methylation profiles as a future prognostic indicator of schizophrenia Genome-Wide DNA methylation analysis was performed on post-mortem human brain tissue from 24 patients with schizophrenia and 24 unaffected controls. DNA methylation was assessed at over 485 000 CpG sites using the Illumina Infinium Human Methylation450 Bead Chip.
2014-09-05 | E-GEOD-61107 | biostudies-arrayexpress
Project description:Schizophrenia is a chronic disease characterized by the impairment of mental functions with a marked social dysfunction. A proteomic approach using iTRAQ labeling and selected reaction monitoring, applied to the characterization of mitochondria (MIT), crude nuclear fraction (NUC) and cytoplasm (CYT), can allow the observation of dynamic changes in cell compartments providing valuable insights concerning schizophrenia physiopathology. Mass spectrometry analyses of the orbitofrontal cortex from 12 schizophrenia patients and 8 healthy controls identified 655 protein groups in MIT fraction, 1500 in NUC and 1591 in CYT. We found 166 groups of proteins dysregulated among all enriched cellular fractions. Through the quantitative proteomic analysis, we detect as the main biological pathways those related to calcium and glutamate imbalance, cell signaling disruption of CREB activation, axon guidance and proteins involved in the activation of NF-kB signaling along with the increase of complement proteins C3. Based on our data analysis, we suggest the activation of NF-kB as a possible pathway that links the deregulation of glutamate, calcium, apoptosis and the activation of the immune system in schizophrenia patients
2019-10-07 | PXD015356 | Pride
Project description:Transcriptomics analysis of blood mononuclear cells of patients with schizophrenia
| PRJNA735935 | ENA
Project description:Multi-platform omics analyses of peripheral blood mononuclear cells and plasma derived from human patients infected with Ebola virus.
| MSV000080129 | MassIVE
Project description:Recent studies suggest that genetic and environmental factors do not account for all the schizophrenia risk and epigenetics also plays a role in disease susceptibility. DNA methylation is a heritable epigenetic modification that can regulate gene expression. Genome-Wide DNA methylation analysis was performed on post-mortem human brain tissue from 24 patients with schizophrenia and 24 unaffected controls. DNA methylation was assessed at over 485 000 CpG sites using the Illumina Infinium Human Methylation450 Bead Chip. After adjusting for age and post-mortem interval (PMI), 4 641 probes corresponding to 2 929 unique genes were found to be differentially methylated. Of those genes, 1 291 were located in a CpG island and 817 were in a promoter region. These include NOS1, AKT1, DTNBP1, DNMT1, PPP3CC and SOX10 which have previously been associated with schizophrenia. More than 100 of these genes overlap with a previous DNA methylation study of peripheral blood from schizophrenia patients in which 27 000 CpG sites were analysed. Unsupervised clustering analysis of the top 3 000 most variable probes revealed two distinct groups with significantly more people with schizophrenia in cluster one compared to controls (p = 1.74x10-4). The first cluster was composed of 88% of patients with schizophrenia and only 12% controls while the second cluster was composed of 27% of patients with schizophrenia and 73% controls. These results strongly suggest that differential DNA methylation is important in schizophrenia etiology and add support for the use of DNA methylation profiles as a future prognostic indicator of schizophrenia
2014-09-05 | GSE61107 | GEO
Project description:This study investigated sex-dependent proteomic alterations in peripheral blood mononuclear cells (PBMCs) from Alzheimer’s disease (AD) patients. Quantitative DIA-based proteomics revealed both shared and sex-specific pathways, including complement activation, coagulation, and metabolic processes. These findings highlight systemic immune and metabolic remodeling in AD that differ between males and females.
2026-01-14 | PXD070232 | Pride