Department of Orthopedics, Affiliated Hospital of Traditional Chinese Medicine, Luzhou Medical College, Luzhou, China.
Eur Rev Med Pharmacol Sci. 2013 Nov;17(21):2949-55.
To identify key genes and novel potential therapeutic targets for contused spin cord injury through analyzing microarray data.
Gene expression data set GSE2599 was downloaded from Gene Expression Omnibus, including 3 rat spinal cord injury (SCI) samples and 3 healthy controls. Data pre-treatment and differential analyses were performed with packages of R. Cluster analysis was done with gene expression values to globally present the difference between the two states. Functional enrichment analysis was performed for all the DEGs with DAVID tools. The most up- and down-regulated genes were picked out and their interactors were predicted with String. Pathway enrichment analysis was done with GENECODIS for all the genes in the network.
A total of 227 DEGs were screened out, 132 up-regulated genes and 145 down-regulated genes. Response to wounding, response to organic substance and defense response was the top 3 significant functional terms. APOBEC1 was the most up-regulated gene while HPD was the most down-regulated one. Their interactors were obtained and network was constructed. Pathway enrichment analysis revealed that tyrosine metabolism and other metabolism-related pathways were significantly over-represented.
A range of DEGs were revealed in present study, which could deepen the understandings about the mechanisms of SCI and guide future researches on treatment development.
通过分析基因芯片数据,确定挫伤性脊髓损伤的关键基因和新的潜在治疗靶点。
从基因表达数据库 GEO 中下载基因表达数据集 GSE2599,包含 3 个大鼠脊髓损伤(SCI)样本和 3 个健康对照。使用 R 软件包进行数据预处理和差异分析。使用基因表达值进行聚类分析,以全局呈现两种状态之间的差异。使用 DAVID 工具对所有差异表达基因(DEGs)进行功能富集分析。挑选出上调和下调最显著的基因,并使用 String 预测其相互作用物。使用 GENECODIS 对网络中的所有基因进行通路富集分析。
筛选出 227 个差异表达基因,其中 132 个上调基因和 145 个下调基因。对创伤的反应、对有机物质的反应和防御反应是前 3 个显著的功能术语。APOBEC1 是上调最显著的基因,而 HPD 是下调最显著的基因。获得了它们的相互作用物,并构建了网络。通路富集分析显示,酪氨酸代谢和其他代谢相关通路显著过度表达。
本研究揭示了一系列差异表达基因,可加深对 SCI 机制的理解,并为未来的治疗开发研究提供指导。