Analysis of total RNA as a potential biomarker of Parkinson's disease in silico.

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.