Co-expression network analysis from genes involved with neural-differentiation shows specific pattern in patients with schizophrenia
Transcriptomics Dataset
FAIR Metrics
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General Information
AccessionGSE62105
TitleCo-expression network analysis from genes involved with neural-differentiation shows specific pattern in patients with schizophrenia
DescriptionSchizophrenia is a severe and debilitating neuropsychiatric disorder with the involvement of genetic and environmental factors contributing to its pathogenesis. The specific role of the brain cell types in the disease remains uncovered due to the difficulties in accessing diseased tissue. This study analysed molecular alterations in human induced pluripotent stem cells (hiPSCs) derived from fibroblasts from control subject and individual with schizophrenia and further differentiated to neuron to identify genes relevant for the development of schizophrenia. We identified 228 genes that are involved with metabolic processes, signal transduction, nervous system development, regulation of neurogenesis and neuronal differentiation. These genes were analysed in expression microarrays of post-mortem brain tissue (frontal cortex) of additional patients with schizophrenia and normal individuals revealing only six common genes: CACNA1E, CEBPB, DUX4, EDNRA, SPHK1 and SPRY4 (GSE62191). Furthermore, a co-expression network analysis of the 228 genes revealed a non-conserved module enriched for genes associated with oxidative stress and negative regulation of cell differentiation as involved with schizophrenia. This study supports the relevance of using cellular approaches to dissect molecular aspects of neurogenesis with impact in the schizophrenic brain.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62105
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Keyword
Dataset Accession
Enrichr
Published May 2016
A comprehensive gene set enrichment analysis web server 2016 update
7759
65
Characteristic Direction
Published March 2014
A geometrical multivariate approach to identify differentially expressed genes
26829
GeneMANIA
Published June 2010
Biological network integration for gene prioritization and predicting gene function
7435
L1000CDS2
Published August 2016
An ultra-fast LINCS L1000 Characteristic Direction signature search engine
7756
PAEA
Published November 2015
Enrichment analysis tool implementing the principal angle method
3879
Canned Analyses generated with the dataset
Filters  
Dataset Accession
Tool Name
Direction
Geneset
Interaction network and enrichment analysis of genes downregulated in schizophrenia
GeneMANIA, Characteristic Direction
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Interaction network and enrichment analysis of genes upregulated in schizophrenia
GeneMANIA, Characteristic Direction
The analysis explores the gene interaction network and pathway enrichment of the top 50 mo...
Small molecules which mimic schizophrenia
L1000CDS2, Characteristic Direction
The L1000 database was queried in order to identify small molecule perturbations which mim...
Small molecules which reverse schizophrenia
L1000CDS2, Characteristic Direction
The L1000 database was queried in order to identify small molecule perturbations which rev...
Enrichment analysis of genes dysregulated in schizophrenia
PAEA, Characteristic Direction
An enrichment analysis was performed on the top most dyresgulated genes determined by appl...
Enrichment analysis of genes downregulated in schizophrenia
Enrichr, Characteristic Direction
An enrichment analysis was performed on the top 500 most downregulated genes identified by...
Enrichment analysis of genes upregulated in schizophrenia
Enrichr, Characteristic Direction
An enrichment analysis was performed on the top 500 most upregulated genes identified by a...
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