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ABSTRACT: Purpose
This study aimed to investigate the underlying molecular mechanisms of Parkinson's disease (PD) by bioinformatics.Methods
Using the microarray dataset GSE72267 from the Gene Expression Omnibus database, which included 40 blood samples from PD patients and 19 matched controls, differentially expressed genes (DEGs) were identified after data preprocessing, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Protein-protein interaction (PPI) network, microRNA- (miRNA-) target regulatory network, and transcription factor- (TF-) target regulatory networks were constructed.Results
Of 819 DEGs obtained, 359 were upregulated and 460 were downregulated. Two GO terms, "rRNA processing" and "cytoplasm," and two
SUBMITTER: Tan C
PROVIDER: S-EPMC5852864 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature