Abstract
Parkinson’s disease (PD) is a common, adult-onset, neuro-degenerative disorder characterized by the degeneration of cardinal motor signs mainly due to the loss of dopaminergic neurons in the substantia nigra. To date, researchers still have limited understanding of the key molecular events that provoke neurodegeneration in this disease. Here, we present ParkDB, the first queryable database dedicated to gene expression in PD. ParkDB contains a complete set of re-analyzed, curated and annotated microarray datasets. This resource enables scientists to identify and compare expression signatures involved in PD and dopaminergic neuron differentiation under different biological conditions and across species.Database URL: http://www2.cancer.ucl.ac.uk/Parkinson_Db2/
Highlights
Parkinson’s disease (PD) is both sporadic and genetic (5–10%) [1]
Despite the fact that several gene expression studies focused on PD have been performed [5,6,7,8,9,10,11,12,13,14], no database has been developed to allow full-scale meta-analysis of microarray data related to PD
If an Ensembl Gene identifiers (EGIs) was ParkDB is the first database, which has collated, curated and re-analyzed the microarray data pertaining to samples from PD and dopaminergic neuron differentiation in a homogeneous manner
Summary
Parkinson’s disease (PD) is both sporadic and genetic (5–10%) [1]. That the molecular pathways underlying these genomic regions may be common to more than one genetic form of Parkinsonism and may play a role in the common sporadic disease [2, 3]. Despite the fact that several gene expression studies focused on PD have been performed [5,6,7,8,9,10,11,12,13,14], no database has been developed to allow full-scale meta-analysis of microarray data related to PD. We present ParkDB, a resource that aims to provide comprehensive access to high quality gene expression datasets analyzed in a homogeneous manner.
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