Meng Fanxin, You Yu, Liu Zhiliang, Liu Jianming, Ding Hu, Xu Ruxiang
Department of Neuronal Surgery, The Military General Hospital of Beijing PLA, Beijing 100007, P.R. China.
Mol Med Rep. 2015 Jan;11(1):196-202. doi: 10.3892/mmr.2014.2756. Epub 2014 Oct 23.
Epilepsy is the most common serious neurological disorder worldwide, however, the specific causative factors and mechanisms underlying epilepsy remain unclear. The current study aimed to study the potential genes or pathways associated with epilepsy, based on rat miRNA expression profiles. The microarray dataset GSE49850 was downloaded and analyzed with the TimeCourse R software package, which was used to generate comparisons between the control and electrically-stimulated groups. The target genes of differentially expressed miRNAs were queried in the miRWalk database and functional enrichment was conducted using the Database for Annotation, Visualization and Integrated Discovery software tools. The interaction network of the target genes was constructed based on the Biomolecular Interaction Network Database and clustered using ClusterONE. In total, 152 differentially expressed miRNAs were identified, with rno-miR-21-5p being the most significantly differentially expressed. A total of 526 target genes of the differentially expressed miRNAs were obtained. Functional analysis indicated that these genes were predominantly involved in responses to stimuli. The interaction network showed that the GRIN and STX gene family, which are involved in synaptic signal transmission, were significant. In conclusion, the present study identified that the development of epilepsy was closely associated with neuronal calcium signaling pathways.
癫痫是全球最常见的严重神经系统疾病，然而，癫痫的具体致病因素和潜在机制仍不清楚。本研究旨在基于大鼠微小RNA（miRNA）表达谱，研究与癫痫相关的潜在基因或信号通路。下载微阵列数据集GSE49850，并使用TimeCourse R软件包进行分析，该软件包用于生成对照组和电刺激组之间的比较。在miRWalk数据库中查询差异表达miRNA的靶基因，并使用注释、可视化和综合发现数据库软件工具进行功能富集分析。基于生物分子相互作用网络数据库构建靶基因的相互作用网络，并使用ClusterONE进行聚类。共鉴定出152个差异表达的miRNA，其中rno-miR-21-5p差异表达最为显著。共获得差异表达miRNA的526个靶基因。功能分析表明，这些基因主要参与对刺激的反应。相互作用网络显示，参与突触信号传递的GRIN和STX基因家族具有显著性。总之，本研究确定癫痫的发生与神经元钙信号通路密切相关。
