ArticleAmerican journal of translational research2020
Comprehensive analysis of core genes and key pathways in Parkinson's disease.
Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- MicroRNAs in Parkinson's disease: a systematic review and diagnostic accuracy meta-analysis.Scientific reports · 2023Pooled it
- Blm10/PA200-Activated 20S Proteasomes Promote α-Synuclein Degradation and Bypass Proteasome Inhibition in Parkinson's Disease Models.Aging cell · 2026Article
- Exploring the Association Between Rheumatoid Arthritis and Parkinson's Disease: Evidence from 2001-2016 NHANES, Real-World Clinical Data and Bioinformatics Analysis.Journal of inflammation research · 2026Article
- A neuron-distributed DEK integrates ac4C modification and neuroinflammation in pathogenesis of Parkinson disease: evidence from Mendelian randomization, multi-omics andFrontiers in neuroscience · 2026Article
- Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies.Nature communications · 2025Article
- Distinct cortical morphometric inverse divergence changes in Parkinson's disease correlate with transcriptional expression patterns.NeuroImage. Clinical · 2025Article
- Identification of Parkinson's disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach.Frontiers in aging neuroscience · 2025Article
- A Systematic Review of Extracellular Matrix-Related Alterations in Parkinson's Disease.Brain sciences · 2024Review
- Transcriptomics and Proteomics Approach for the Identification of Altered Blood microRNAs and Plasma Proteins in Parkinson's Disease.Cellular and molecular neurobiology · 2023Article
- The Proteasome Activator PA200/PSME4: An Emerging New Player in Health and Disease.Biomolecules · 2022Review
- Identifying Potential Mitochondrial Proteome Signatures Associated with the Pathogenesis of Pulmonary Arterial Hypertension in the Rat Model.Oxidative medicine and cellular longevity · 2022Article
- Blood SSR1: A Possible Biomarker for Early Prediction of Parkinson's Disease.Frontiers in molecular neuroscience · 2022Article
- Gene alteration in zebrafish exposed to a mixture of substances of abuse.Environmental pollution (Barking, Essex : 1987) · 2021Article
- Complementary Transcriptomic and Proteomic Analysis in the Substantia Nigra of Parkinson's Disease.Disease markers · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease (PD) is a neurodegenerative disease that occurs mostly in middle-aged and older adults. Its main pathological feature is the progressive death of substantia nigra dopaminergic neurons. As the world's population ages, the number of PD patients is increasing. In this study, we explored the relationship between PD and the cell cycle. In this study, we collected two independent PD transcriptomic datasets, GSE54536 and GSE6613, from the Gene Expression Omnibus (GEO) database. Gene set enrichment analysis (GSEA) was used to identify dysregulated pathways in PD samples. Gene expression was verified by qPCR in PD patients. Nineteen pathways were negatively enriched in both the GSE54536 and GSE6613 datasets. Seven of these 19 pathways were cell cycle-related pathways, including the M/G1 transition, S phase, G1/S transition, mitotic G1-G1/S phases, CDT1 association with the CDC6 ORC origin complex, cell cycle checkpoints and synthesis of DNA. Next, we found that eight genes (PSMA4, PSMB1, PSMC5, PSMD11, MCM4, RPA1, POLE, and PSME4) were mainly enriched in the GSE54536 and GSE6613 datasets. In GSE54536, PSMA4, PSMB1, PSMC5, and PSME4 could significantly predict the occurrence of PD, whereas, in GSE6613, RPA1 and PSME4 could significantly predict the occurrence of PD. Only PSME4 showed significant results in both datasets. Finally, we assessed blood samples from PD patients and controls. Compared with the control samples, the PD samples had lower mRNA levels of PSME4. In summary,these findings can significantly enhance our understanding of the causes and potential molecular mechanisms of PD; the cell cycle signaling pathways and PSME4 may be therapeutic targets for PD.
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Registered trials
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