Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA analysis in Finnish Schizophrenia Families

ABSTRACT: 18 Families (66 individuals) from an established cohort for schizophrenia in Finland provided RNA for analysis of genome-wide gene expression levels in blood lymphocytes. These have been collected for the analysis of genetic risk variants for mental illness that are present within these families, under the hypothesis that genetic variants will lead to changes in the biological functioning that represent the mechanisms altered in the etiology of major mental illness, with gene expression providining a means to observe such alterations. Total RNA was extracted from fresh blood samples donated by 66 individuals from 18 families ascertained for schizophrenia. Gene expression was measured using 6 chips, with two individuals (samples 2 and 8) replicated across chips. The non-normalized matrix contains the complete data, including replicates.

ORGANISM(S): Homo sapiens

SUBMITTER: William Hennah

PROVIDER: E-GEOD-48072 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

RNA analysis in Finnish Schizophrenia Families

Project description:18 Families (66 individuals) from an established cohort for schizophrenia in Finland provided RNA for analysis of genome-wide gene expression levels in blood lymphocytes. These have been collected for the analysis of genetic risk variants for mental illness that are present within these families, under the hypothesis that genetic variants will lead to changes in the biological functioning that represent the mechanisms altered in the etiology of major mental illness, with gene expression providining a means to observe such alterations.

2013-06-19 | GSE48072 | GEO

Whole transcriptome analysis of postmortem human hippocampus dentate gyrus granlule cells

2014-04-09 | GSE42546 | GEO

Untargetted lipidomics dataset: LC-MS analysis in two postmortem brain areas of healthy individuals and schizophrenia patients.

Project description:<p>Schizophrenia is a common mental illness. It is a complex disorder with many symptoms and cognitive impairments. Despite extensive study, the molecular mechanisms of this disease are still unknown. Present time studies on the lipid composition of the human brain are extremely fragmented. Of the possible levels of molecular analysis involving gene expression at the RNA or protein level, and the representation of polar metabolites and lipids, the latter seem to us to be the most promising now. We chose lipids as representative data of the pathogenic mechanism because they are the main structural components of brain cell tissue. The dataset provided unique samples of lipid LC-MS profiles of post-mortem human brains. Samples include not only healthy individuals but also patients with schizophrenia.</p>

2024-06-04 | MTBLS8955 | MetaboLights

Gene expression data from study on the role of DISC1 607 variants on immune responses against Toxoplasma gondii

Project description:A major mental illness-related susceptibility factor, Disrupted in schizophrenia (DISC1), is involved in altered host immune responses against Toxoplasma gondii (T. gondii) infection. Specifically, our gene expression studies have revealed that DISC1 Leu607Phe variation, which changes DISC1 interaction with activating transcription factor 4 (ATF4), modifies gene expression patterns upon T. gondii infection.

2020-04-27 | GSE113806 | GEO

The human Gut Chip “HuGChip”, an explorative phylogenetic microarray for determining gut microbiome diversity at Family level

Project description:A phylogenetic microarray targeting 66 families described in the human gut microbiota has been developped aud used to monitor the gut microbiota's structure and diversity. The microarray format provided by Agilent and used in this study is 8x15K. A study with a total of 4 chips was realized.

2013-03-01 | GSE44752 | GEO

Using human induced pluripotent stem cells (iPSC) and iPSC-derived neurons to explore cellular phenotypes associated with schizophrenia.

Project description:Schizophrenia and major mental illness are common devastating conditions. Whilst partially effective treatments are available, none are disease-modifying. Notwithstanding important insights provided by animal models there is a need for novel models of mental illness to develop more effective therapies. A study of sporadic schizophrenia-derived human induced pluripotent stem cells (hiPS) has demonstrated a neuronal phenotype representing a powerful proof of concept of in vitro disease modeling, even for diseases with complex causation such as schizophrenia. These techniques have been used here to examine the behaviour of neural stem cells and neurons derived from fibroblasts from subjects carrying NDE1 copy number variations (CNVs) associated with increased risk of major mental illness. Using hiPS from individuals with and without disease-associated CNVs we have investigated how disease risk is conferred at a cellular and molecular level through detailed comparative studies of neural progenitor proliferation, neuronal morphology, physiology, cytoskeletal organization, synaptic function, glutamate (NMDA) receptor expression and also RNA sequencing and proteomic studies of these patient-derived cells.

| EGAS00001002895 | EGA

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. Material for RNA-seq analysis was harvested from tissue slides using laser capture microdissection (LCM) and aRNA amplification. Equimolar amounts of triplicate aRNA samples for each of the 79 subjects were then pooled for the preparation of sequencing libraries. Sequencing libraries were prepared using Applied Biosystem's Total RNA Sequencing Kit, following the directions for Whole Transcriptome Libraries, and analyzed with an Applied Biosystems SOLiD 4 high-throughput sequencer. We compared the performance of different normalization methods (length normalization vs. noise reductin scaling), and assembled evidence for dysruption of signaling by the micro RNA miR-182 in subjects with major depression and schizophrenia.

2014-04-09 | E-GEOD-42546 | biostudies-arrayexpress

Gene Expression Profiles in BA46 of Subjects with Schizophrenia and Matched Controls

Project description:Results from clinical and imaging studies provide evidence for changes in schizophrenia with disease progression, however, the underlying molecular differences that may occur at different stages of illness have not been investigated. To test the hypothesis that the molecular basis for schizophrenia changes from early to chronic illness, we profiled genome-wide expression patterns in prefrontal cortex of schizophrenic subjects at different stages of illness, along with their age- and sex-matched controls. Results show that gene expression profiles change dramatically depending on the stage of illness, whereby the greatest number and magnitude of gene expression differences were detected in subjects with short-term illness (â?¤ 4 years from diagnosis). Comprehensive pathways analyses revealed that each defined stage of illness was associated with dysfunction in both distinct, as well as overlapping systems. Short-term illness was particularly associated with disruptions in gene transcription, metal ion binding, RNA processing and vesicle-mediated transport. In contrast, long-term illness was associated with inflammation, stimulus-response and immune functions. We validated expression differences of 12 transcripts associated with these various functions by real-time PCR analysis. While only four genes, SAMSN1, CDC42BPB, DSC2 and PTPRE, were consistently expressed across all groups, there was dysfunction in overlapping systems among all stages, including cellular signal transduction, lipid metabolism and protein localization. Our results demonstrate that the molecular basis for schizophrenia changes from early to chronic stages, providing evidence for a changing nature of schizophrenia with disease progression. N=30 subjects with schizophrenia and n=29 age- and sex-matched controls. Age range = 18-81 years

2010-04-12 | E-GEOD-21138 | biostudies-arrayexpress

Project description:Rare germline mutations in individuals diagnosed with schizophrenia within multiplex families

| PRJNA725844 | ENA

X chromosome-specific Array-CGH of XLMR patient

Project description:Mental retardation (MR) is a non-progressive cognitive impairment affecting 2 to 3% of the Western population. So far, point mutations and subtle deletions and insertions have been shown to represent only a proportion (<40%) of genetic causes underlying X-linked mental retardation (XLMR). We have screened a subset of 300 presumable X-linked families by X chromosome-specific array-CGH and identified 6 families with overlapping microduplications at Xp11.22 containing two candidate genes; both of which showed overexpression in the affected individuals. Array-CGH data revealed aberrant Cy5/Cy3 log2 ratios for different but overlapping sets of clones indicating varying sizes of these duplications in the different families. Keywords: comparative genomic hybridization

2008-02-20 | GSE9143 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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