Zhang Tong, Zhao Li-Li, Zhang Zhuo-Ran, Fu Pei-De, Su Zhen-Dong, Qi Li-Chun, Li Xue-Qi, Dong Yu-Mei
Department of Cardiology, The Fourth Affiliated Hospital of Harbin Medical University, No. 37 Yiyuan Street of Nangang District, Harbin, 150001, Heilongjiang Province, China.
Mol Biol Rep. 2014 Aug;41(8):4997-5003. doi: 10.1007/s11033-014-3366-4. Epub 2014 Apr 20.
Myocardial infarction (MI) is a serious heart disease. The cardiac cells of patients with MI will die due to lack of blood for a long time. In this study, we aimed to find new targets for MI diagnosis and therapy. We downloaded GSE22229 including 12 blood samples from healthy persons and GSE29111 from Gene Expression Omnibus including 36 blood samples from MI patients. Then we identified differentially expressed genes (DEGs) in patients with MI compared to normal controls with p value < 0.05 and |logFC| > 1. Furthermore, interaction network and sub-network of these of these DEGs were constructed by NetBox. Linker genes were screened in the Global Network database. The degree of linker genes were calculated by igraph package in R language. Gene ontology and kyoto encyclopedia of genes and genomes pathway analysis were performed for DEGs and network modules. A total of 246 DEGs were identified in MI, which were enriched in the immune response. In the interaction network, LCK, CD247, CD3D, FYN, HLA-DRA, IL2, CD8A CD3E, CD4, CD3G had high degree, among which CD3E, CD4, CD3G were DEGs while others were linker genes screened from Global Network database. Genes in the sub-network were also enriched in the immune response pathway. The genes with high degree may be biomarkers for MI diagnosis and therapy.
心肌梗死（MI）是一种严重的心脏病。MI患者的心肌细胞会因长期缺血而死亡。在本研究中，我们旨在寻找MI诊断和治疗的新靶点。我们从基因表达综合数据库下载了包含12份健康人血液样本的GSE22229以及包含36份MI患者血液样本的GSE29111。然后，我们确定了MI患者与正常对照相比差异表达基因（DEGs），其p值<0.05且|logFC|>1。此外，通过NetBox构建了这些DEGs的相互作用网络和子网。在全球网络数据库中筛选连接基因。使用R语言中的igraph包计算连接基因的度数。对DEGs和网络模块进行基因本体论和京都基因与基因组百科全书通路分析。在MI中总共鉴定出246个DEGs，它们在免疫反应中富集。在相互作用网络中，LCK、CD247、CD3D、FYN、HLA-DRA、IL2、CD8A、CD3E、CD4、CD3G度数较高，其中CD3E、CD4、CD3G是DEGs，而其他是从全球网络数据库中筛选出的连接基因。子网中的基因也在免疫反应通路中富集。度数较高的基因可能是MI诊断和治疗的生物标志物。
