Transcriptomic profiling of differentially expressed genes and related pathways in different brain regions of Parkinson’s disease

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

Background: Parkinson’s disease (PD) is the second most common neurodegenerative disease and many studies have researched its complex pathophysiological processes. However, it is unclear how PD affects the structure of transcripts in different brain regions and how changes in the transcriptomes in different brain regions affect the pathogenesis of PD. Results: We generated a PD mouse model by injecting with MPTP solution. RNA sequencing was performed in the cerebral cortex, hippocampus, striatum, and cerebellum regions of the PD mouse. Compared with the control group, these four brain regions showed significant transcriptomic alterations, with the most differentially expressed genes (DEGs) found in the striatum region. The main DEGs were Lrrk2 , Mtor , Gxylt1 , C920006o11Rik , Vdac1 , Ano3 , Drd4 , and Ncan . DEGs were enriched using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes enrichment analysis methods, which identified significant GO and molecular pathways. In addition, we used network biology methods to analyze protein–protein relationships, which can accelerate the identification of new PD drugs. The results showed that LRRK2, DRD2, IGF-1, GNAI1, GNAI3, PRKACA, PPP2R5C, and PIK3R1 played a major role in protein regulation. Conclusions: Our analysis showed that these DEGs and proteins play an important role in the occurrence and development of PD. Our study also highlighted the potential use of this transcriptomic data for therapeutic strategies and treatment of PD.

Related topics