Session Time: 1:15pm-2:45pm
Location: Hall 3FG
Objective: To uncover new disease-associated genes and their relevant mechanisms in the pathogenetic process of neurodegenerative disorders, we carried out a gene microarray analysis based on a Parkinson’s disease (PD) in vitro model induced by α-synuclein oligomers.
Background: The gene microarray was performed upon the cellular model induced by 25 mol/L α-synuclein oligomers, which has been confirmed to show the stable, transmissible neurotoxicity of α-synuclein, a typical PD pathological marker. And the different expressed long non-coding RNA(lncRNA) was screened out for the reseach of its potential influence upon the pathogenetic process of neurodegenerative disorders.
Methods: Immumofluorescence and electron microscope were used to make sure α-synuclein have already entered the cells and led to α-synuclein lesions. The expression of lncRNAs and mRNAs is analyzed by gene microarray and GeneSpring GX v12.1 software package. Differently-expressed genes(DEGs) were verified by real time qPCR and the selected genes were studied by ceRNA(competing endogenous RNAs) analysis.
Results: A significant differentially expressed lncRNAs, G069488, were chosen as a breakthrough point for the further research because it was located to the gene NEED9, which is relative to the axon growth and neurodevelopment closely. Subsequent verified qPCR experiment determined the same variation trend as the result of microarray analysis showed.
Conclusions: The results of the present study widen our horizon of PD susceptibility genes and provide new pathways towards efficient diagnostic biomarkers and therapeutic targets for PD.
To cite this abstract in AMA style:E. Tao. Microarray analysis upon an synthetic α-synuclein induced model reveals some susceptibility genes in Parkinson’s disease [abstract]. Mov Disord. 2018; 33 (suppl 2). https://www.mdsabstracts.org/abstract/microarray-analysis-upon-an-synthetic-%ce%b1-synuclein-induced-model-reveals-some-susceptibility-genes-in-parkinsons-disease/. Accessed December 5, 2023.
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