Genomics

Dataset Information

0

Modelling schizophrenia using human induced pluripotent stem cells


ABSTRACT: Schizophrenia (SCZD) is a debilitating neurological disorder with a world-wide prevalence of 1%; there is a strong genetic component, with an estimated heritability of 80–85%1. Although post-mortem studies have revealed reduced brain volume, cell size, spine density and abnormal neural distribution in the prefrontal cortex and hippocampus of SCZD brain tissue2 and neuropharmacological studies have implicated dopaminergic, glutamatergic and GABAergic activity in SCZD3, the cell types affected in SCZD and the molecular mechanisms underlying the disease state remain unclear. To elucidate the cellular and molecular defects of SCZD, we directly reprogrammed fibroblasts from SCZD patients into human induced pluripotent stem cells (hiPSCs) and subsequently differentiated these disorder-specific hiPSCs into neurons (Supplementary Fig. 1). SCZD hiPSC neurons showed diminished neuronal connectivity in conjunction with decreased neurite number, PSD95-protein levels and glutamate receptor expression. Gene expression profiles of SCZD hiPSC neurons identified altered expression of many components of the cyclic AMP and WNT signalling pathways. Key cellular and molecular elements of the SCZD phenotype were ameliorated following treatment of SCZD hiPSC neurons with the antipsychotic loxapine. To date, hiPSC neuronal pathology has only been demonstrated in diseases characterized by both the loss of function of a single gene product and rapid disease progression in early childhood. We now report hiPSC neuronal phenotypes and gene expression changes associated with SCZD, a complex genetic psychiatric disorder.

ORGANISM(S): Homo sapiens

PROVIDER: GSE30737 | GEO | 2011/08/13

SECONDARY ACCESSION(S): PRJNA144137

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2011-08-12 | E-GEOD-30737 | biostudies-arrayexpress
2011-05-01 | E-GEOD-25673 | biostudies-arrayexpress
2011-05-01 | GSE25673 | GEO
2014-04-01 | E-GEOD-40102 | biostudies-arrayexpress
2016-03-14 | E-GEOD-63738 | biostudies-arrayexpress
2016-04-21 | GSE63734 | GEO
2014-04-01 | GSE40102 | GEO
2016-03-14 | GSE63738 | GEO
2018-06-26 | E-MTAB-6781 | biostudies-arrayexpress
2013-12-03 | E-GEOD-42448 | biostudies-arrayexpress