Department of Neurology, the Fourth Affiliated Hospital of China Medical University, NO,4 chongshan Road, huanggu Area, Shenyang 110032, Liaoning, China.
BMC Neurol. 2013 Nov 20;13:181. doi: 10.1186/1471-2377-13-181.
Parkinson's disease (PD) is affecting 5 million people worldwide, but the response mechanisms of the striatum are still unclear. Therefore, identification of gene expression alterations in the striatum will greatly assist the development of novel therapy strategies.
We performed a comprehensive gene expression analysis in 15 PD patients and 15 normal controls to identify differentially expressed genes (DEGs) using the expression profile GSE20291 from Gene Expression Omnibus (GEO). Gene Ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment analysis were used to define functions and pathways altered in PD. Protein-protein interaction network was constructed to find out the modules with close interactions.
Total715 DEGs including 268 up-regulated and 447 down-regulated genes were obtained. GO functional enrichment analysis indicated that the genes related with neurons function and cell morphogenesis might be changed upon PD. KEGG pathway enrichment analysis showed that most of the genes were enriched in the nodes of Gap junction, calcium signaling pathway, phosphatidylinositol signaling system, long-term potentiation, Alzheimer's disease and GnRH signaling pathway. Protein-protein interaction network and module analysis suggested that some apoptosis related genes, such as PRKCA, CDC42 and BCL2 may play critical roles in striatal neurons growth.
Intrinsic striatal tyrosine hydroxylase interneurons growth may be promoted by changes in several genes expression and thus reduce the functional excitatory synapses.
帕金森病(PD)影响着全球 500 万人,但纹状体的反应机制仍不清楚。因此,鉴定纹状体中的基因表达变化将极大地有助于新的治疗策略的发展。
我们对 15 名 PD 患者和 15 名正常对照者进行了全面的基因表达分析,使用来自基因表达综合数据库(GEO)的表达谱 GSE20291 来鉴定差异表达基因(DEGs)。基因本体论(GO)分析和京都基因与基因组百科全书(KEGG)通路富集分析用于定义 PD 中改变的功能和途径。构建蛋白质-蛋白质相互作用网络以找出相互作用密切的模块。
共获得 715 个 DEGs,包括 268 个上调基因和 447 个下调基因。GO 功能富集分析表明,与神经元功能和细胞形态发生相关的基因可能发生改变。KEGG 通路富集分析表明,大多数基因富集在间隙连接、钙信号通路、磷酸肌醇信号系统、长时程增强、阿尔茨海默病和 GnRH 信号通路的节点上。蛋白质-蛋白质相互作用网络和模块分析表明,一些与细胞凋亡相关的基因,如 PRKCA、CDC42 和 BCL2,可能在纹状体神经元生长中发挥关键作用。
内在纹状体酪氨酸羟化酶中间神经元的生长可能是由于几个基因表达的改变而促进的,从而减少了功能性兴奋性突触。