E-GEOD-43368 - Phenotypic characterization of retinoic acid differentiated SH-SY5Y cells by transcriptional profiling

Status
Released on 1 June 2013, last updated on 2 June 2014
Organism
Homo sapiens
Samples (35)
Array (1)
Protocols (6)
Description
Multiple genetic and environmental factors play a role in the development and progression of Parkinson’s disease (PD). The main neuropathological hallmark of PD is the degeneration of dopaminergic (DAergic) neurons in the substantia nigra pars compacta (SN). To study genetic and molecular contributors to the disease process, there is a great need for readily accessible cells with prominent DAergic features that can be used for reproducible in vitro cellular screening. Here, we investigated the molecular phenotype of retinoic acid (RA) differentiated SH-SY5Y cells using genome wide transcriptional profiling combined with gene ontology, transcription factor and molecular pathway analysis. We demonstrated that RA induces a general neuronal differentiation program in SH-SY5Y cells and that these cells develop a predominantly mature DAergic-like neurotransmitter phenotype. This phenotype is characterized by increased dopamine levels together with substantial suppression of other neurotransmitter phenotypes, such as those for noradrenaline, acetylcholine, glutamate, serotonin and histamine. In addition, we show that RA differentiated SH-SY5Y cells express dopamine and noradrenalin neurotransmitter transporters that are responsible for uptake of MPP(+), a well known DAergic cell toxicant, and that MPP(+) treatment alters mitochondrial activity according to its proposed cytotoxic effect in DAergic neurons. Taken together, RA differentiated SH-SY5Y cells have a DAergic-like phenotype, and provide a good cellular screening tool to find novel genes or compounds that affect cytotoxic processes that are associated with PD. SH-SY5Y cell differentiation process was assessed by comparing RA differentiated and noRA differentiated cells in 8 days of culture. Cells were compared at 6 different time points.
Experiment type
transcription profiling by array 
Contacts
Joanna Korecka <j.korecka@nin.knaw.nl>, August B Smit, Dick F Swaab, Eva Blaas, Joanna A Korecka, Joost Verhaagen, Jorke H Kamstra, Koen Bossers, Ronald E van Kesteren, Sonia O Spitzer
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-43368.idf.txt
Sample and data relationshipE-GEOD-43368.sdrf.txt
Array designA-AGIL-28.adf.txt
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