ArticleParkinson's disease2018
Microarray Analysis of the Molecular Mechanism Involved in Parkinson's Disease.
Article in Parkinson's disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
19 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- In vivo and in vitro perspectives in Parkinson's disease: Mechanisms and the role of phytomedicine.Journal of food and drug analysis · 2025Review
- GATA Transcription Factors: A Cross-Road for Erythropoiesis, Neurodevelopment, and Synucleinopathies.Developmental neurobiology · 2025Review
- Advances in chromosomal microarray analysis: Transforming neurology and neurosurgery.Brain & spine · 2025Review
- Brain-Region-Specific Differences in Protein Citrullination/Deimination in a Pre-Motor Parkinson's Disease Rat Model.International journal of molecular sciences · 2024Article
- Review
- Human α-synuclein overexpression upregulates SKOR1 in a rat model of simulated nigrostriatal ageing.Aging cell · 2024Article
- A Systematic Review of Extracellular Matrix-Related Alterations in Parkinson's Disease.Brain sciences · 2024Review
- Integrated bioinformatics analysis for exploring potential biomarkers related to Parkinson's disease progression.BMC medical genomics · 2024Article
- Data Mining of Microarray Datasets in Translational Neuroscience.Brain sciences · 2023Review
- Genome-wide association study using whole-genome sequencing identifies risk loci for Parkinson's disease in Chinese population.NPJ Parkinson's disease · 2023Article
- Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson's disease.Communications biology · 2022Article
- LINC00943 knockdown exerts neuroprotective effects in Parkinson's disease through regulates CXCL12 expression by sponging miR-7-5p.Genes & genomics · 2021Article
- Inflammation and regulatory T cell genes are differentially expressed in peripheral blood mononuclear cells of Parkinson's disease patients.Scientific reports · 2021Article
- Identification of Potential Core Genes in Parkinson's Disease Using Bioinformatics Analysis.Parkinson's disease · 2021Article
- Protein Deimination Signatures in Plasma and Plasma-EVs and Protein Deimination in the Brain Vasculature in a Rat Model of Pre-Motor Parkinson's Disease.International journal of molecular sciences · 2020Article
- Potential two-step proteomic signature for Parkinson's disease: Pilot analysis in the Harvard Biomarkers Study.Alzheimer's & dementia (Amsterdam, Netherlands) · 2019Article
- Transcriptome Analysis Reveals Distinct Responses to PhysiologicFrontiers in genetics · 2019Article
- Elevated Plasma microRNA-105-5p Level in Patients With Idiopathic Parkinson's Disease: A Potential Disease Biomarker.Frontiers in neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to investigate the underlying molecular mechanisms of Parkinson's disease (PD) by bioinformatics.
methodsUsing 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.
resultsOf 819 DEGs obtained, 359 were upregulated and 460 were downregulated. Two GO terms, "rRNA processing" and "cytoplasm," and two KEGG pathways, "metabolic pathways" and "TNF signaling pathway," played roles in PD development. Intercellular adhesion molecule 1 (
conclusions"rRNA processing," "cytoplasm," "metabolic pathways," and "TNF signaling pathway" were key pathways involved in PD.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.