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Analysis of total RNA as a potential biomarker of Parkinson's disease in silico
1Department of Genetics, Faculty of Biology, University of Belgrade, Belgrade, Serbia.
Abstract:
Knowledge about total RNA molecules in Parkinson's disease is limited. This gene expression profiling study was conducted with a preclinical experimental design using a mouse model to examine the molecular-biological characteristics and the pathological implication of total RNA gene interaction in Parkinson's disease in silico. In silico analysis of total RNA molecules, the Gene Expression Omnibus database, published results, and preliminary findings of available patient samples apply. The potential signaling network and the effect of the interaction of molecules with total RNA was predicted and confirmed. The research consists of four parts. At first, we analyzed the control and MPTP groups. In the second part, we analyzed FVB-N control and MPTP. In the third part, we analyzed controls. In the fourth part, we analyzed MTPT separately. The constructed network contains total RNA, where the Kyoto Encyclopedia of Genes and Genomes database analysis showed that genes from the signaling pathway are involved in the development and complications of Parkinson's disease in male and female rats. Identified total RNA and genes are involved in altered signaling. There is direct interconnection and interdependence of interactions in the signaling network. Results identified the significant total-RNA molecules of the signaling pathway that connect other molecules. In silico analysis shows upregulated and downregulated genes in Parkinson's disease rats. Preliminary data shows that total RNA molecules interact with other genes, and they are applicable in Parkinson's disease course monitoring, shedding light on how factors impact the expression of genes and offering strategies for management.
Insights
This study reveals how total RNA molecules interact with genes in Parkinson's disease (PD) models. These interactions offer potential biomarkers for monitoring PD progression and developing new management strategies.
Area of Science:
- Neuroscience
- Molecular Biology
- Genomics
Background:
- Limited knowledge exists regarding the role of total RNA molecules in Parkinson's disease (PD).
- Understanding gene expression profiles is crucial for elucidating PD pathogenesis.
Purpose of the Study:
- To investigate the molecular-biological characteristics and pathological implications of total RNA gene interactions in a preclinical Parkinson's disease model.
- To identify potential signaling networks and molecular interactions relevant to PD.
Main Methods:
- In silico gene expression profiling using a mouse model of Parkinson's disease.
- Analysis of the Gene Expression Omnibus database and preliminary patient sample data.
- Construction and analysis of a signaling network involving total RNA and associated genes.
Main Results:
- A signaling network was constructed, highlighting the involvement of total RNA and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway genes in PD development and complications in male and female rats.
- Identified significant total RNA molecules and genes involved in altered signaling pathways, demonstrating interconnections within the network.
- In silico analysis revealed upregulated and downregulated genes in PD rat models, with preliminary data suggesting total RNA's role in PD course monitoring.
Conclusions:
- Total RNA molecules play a significant role in the signaling pathways implicated in Parkinson's disease.
- The identified gene interactions and signaling networks provide insights into PD pathogenesis and offer potential targets for disease monitoring and management strategies.
