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• W2902030875 abstract "Parkinson's disease (PD) is a chronic, progressive neurodegenerative disease characterized by both motor and nonmotor features. The diagnose of PD is based on a review of patients' signs and symptoms, and neurological and physical examinations. So far, no tests have been devised that can conclusively diagnose PD. In this study, we explore both microRNA and gene biomarkers for PD. Microarray gene expression profiles for PD patients and healthy control are analyzed using a principal component analysis (PCA)-based unsupervised feature extraction (FE). 244 genes are selected to be potential gene biomarkers for PD. In addition, we implement these genes into Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and find that the 15 microRNAs (miRNAs), hsa-miR-92a-3p, 16-5p, 615-3p, 877-3p, 100-5p, 320a, 877-5p, 23a-3p, 484, 23b-3p, 15a-5p, 324-3p, 19b-3p, 7b-5p and 505-3p, significantly target these 244 genes. These miRNAs are shown to be significantly related to PD. This reveals that both selected genes and miRNAs are potential biomarkers for PD." @default.
• W2902030875 created "2018-12-11" @default.
• W2902030875 creator A5045603108 @default.
• W2902030875 creator A5081861836 @default.
• W2902030875 date "2018-12-05" @default.
• W2902030875 modified "2023-10-16" @default.
• W2902030875 title "Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles" @default.
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• W2902030875 doi "https://doi.org/10.3390/cells7120245" @default.
• W2902030875 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6315543" @default.
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