ArticleBMC genomics2017
Biological networks in Parkinson's disease: an insight into the epigenetic mechanisms associated with this disease.
Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- A meta-analysis of public microarray data identifies biological regulatory networks in Parkinson's disease.BMC medical genomics · 2018Pooled it
- Long noncoding RNA and messenger RNA abnormalities in pediatric sepsis: a preliminary study.BMC medical genomics · 2020Trial
- Epigenetic Mechanisms Underlying Cognitive Dysfunction in Parkinson's Disease: Current Evidence and Future Prospects.Brain and behavior · 2026Review
- Pharmacological Inhibition of EZH2 by GSK-343 Attenuates Neuroinflammation in a Mouse Model of Spinal Cord Injury.Journal of neuroscience research · 2026Article
- Multi-Ancestry Transcriptome-Wide Association Studies of Cognitive Function, White Matter Hyperintensity, and Alzheimer's Disease.International journal of molecular sciences · 2025Article
- ISLET: individual-specific reference panel recovery improves cell-type-specific inference.Genome biology · 2023Observational
- Neuroprotective effects of GSK-343 in an in vivo model of MPTP-induced nigrostriatal degeneration.Journal of neuroinflammation · 2023Article
- DNA methylation as a mediator of genetic and environmental influences on Parkinson's disease susceptibility: Impacts of alpha-Synuclein, physical activity, and pesticide exposure on the epigenome.Frontiers in genetics · 2022Review
- Dynamic changes in immune gene co-expression networks predict development of type 1 diabetes.Scientific reports · 2021Article
- Histone Methylation Regulation in Neurodegenerative Disorders.International journal of molecular sciences · 2021Review
- Cognitive function: holarchy or holacracy?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021Review
- Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia.Oncology letters · 2021Article
- Article
- Skeletal muscle transcriptional networks linked to type I myofiber grouping in Parkinson's disease.Journal of applied physiology (Bethesda, Md. : 1985) · 2020Article
- Investigating the energy crisis in Alzheimer disease using transcriptome study.Scientific reports · 2019Article
- miR-1185-1 and miR-548q Are Biomarkers of Response to Weight Loss and Regulate the Expression ofCells · 2019Article
- Retracted Article: Long noncoding RNA HOTAIR promotes cell apoptosis by sponging miR-221 in Parkinson's disease.RSC advances · 2019Article
- Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundParkinson's disease (PD) is the second most prevalent neurodegenerative disorders in the world. Studying PD from systems biology perspective involving genes and their regulators might provide deeper insights into the complex molecular interactions associated with this disease.
resultWe have studied gene co-expression network obtained from a PD-specific microarray data. The co-expression network identified 11 hub genes, of which eight genes are not previously known to be associated with PD. Further study on the functionality of these eight novel hub genes revealed that these genes play important roles in several neurodegenerative diseases. Furthermore, we have studied the tissue-specific expression and histone modification patterns of the novel hub genes. Most of these genes possess several histone modification sites those are already known to be associated with neurodegenerative diseases. Regulatory network namely mTF-miRNA-gene-gTF involves microRNA Transcription Factor (mTF), microRNA (miRNA), gene and gene Transcription Factor (gTF). Whereas long noncoding RNA (lncRNA) mediated regulatory network involves miRNA, gene, mTF and lncRNA. mTF-miRNA-gene-gTF regulatory network identified a novel feed-forward loop. lncRNA-mediated regulatory network identified novel lncRNAs of PD and revealed the two-way regulatory pattern of PD-specific miRNAs where miRNAs can be regulated by both the TFs and lncRNAs. SNP analysis of the most significant genes of the co-expression network identified 20 SNPs. These SNPs are present in the 3' UTR of known PD genes and are controlled by those miRNAs which are also involved in PD.
conclusionOur study identified eight novel hub genes which can be considered as possible candidates for future biomarker identification studies for PD. The two regulatory networks studied in our work provide a detailed overview of the cellular regulatory mechanisms where the non-coding RNAs namely miRNA and lncRNA, can act as epigenetic regulators of PD. SNPs identified in our study can be helpful for identifying PD at an earlier stage. Overall, this study may impart a better comprehension of the complex molecular interactions associated with PD from systems biology perspective.
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