ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2016
Gene expression profiling predicts pathways and genes associated with Parkinson's disease.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Single nucleus RNA sequencing profile analysis to reveal cell type specific common molecular drivers of Parkinson's disease and therapeutic agents.Scientific reports · 2025Article
- Transcriptomics profiling of Parkinson's disease progression subtypes reveals distinctive patterns of gene expression.Journal of central nervous system disease · 2025Article
- Parkinson's Disease Subtyping Using Clinical Features and Biomarkers: Literature Review and Preliminary Study of Subtype Clustering.Diagnostics (Basel, Switzerland) · 2022Review
- Investigation of Therapeutic Response Markers for Acupuncture in Parkinson's Disease: An Exploratory Pilot Study.Diagnostics (Basel, Switzerland) · 2021Article
- Proteomic Investigation of Murine Neuronal α7-Nicotinic Acetylcholine Receptor Interacting Proteins.Journal of proteome research · 2018Article
- Association of variants in microRNA with Parkinson's disease in Chinese Han population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2018Article
- The DLGAP family: neuronal expression, function and role in brain disorders.Molecular brain · 2017Review
- Evidence of TAF1 dysfunction in peripheral models of X-linked dystonia-parkinsonism.Cellular and molecular life sciences : CMLS · 2016Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
This study was aimed to explore the molecular mechanism of Parkinson's disease (PD) development and discover underlying pathways and genes associated with PD. The microarray data of GSE22491 containing 10 samples from PD patients and 8 samples from healthy controls (HC) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified by paired t-test. Then the DEGs were performed cluster and principal component analyses followed by Gene Ontology (GO) and pathway enrichment analyses and protein-protein interaction (PPI) network construction. Total 176 up-regulated DEGs and 49 down-regulated DEGs were identified. Totally, 39 GO terms and 72 pathways were closely related to PD. Pathway of neuronal system was enriched by 10 DEGs such as synapsin I (SYN1), glutamate receptor, ionotropic, N-methyl-D-aspartate 1 (GRIN1) and GRIN2D. In the PPI networks, 18 hub genes were obtained, such as GRIN2D and discs, large (Drosophila) homolog-associated protein 3 (DLGAP3). The pathway of neuronal system and its enriched DEGs may play important roles in PD progression. The DEGs such as SYN1, GRIN1, GRIN2D and DLGAP3 may become promising candidate genes for PD.
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