【摘要】：結(jié)核病(tuberculosis,TB)對人類具有非常大的威脅,感染過結(jié)核病的人占世界總?cè)丝跀?shù)的三分之一,而且每年有造成超過一百萬人的死亡。為了尋找可用于結(jié)核病診斷和治療的分子標志物,我們從微陣列數(shù)據(jù)存儲中心基因表達綜合數(shù)據(jù)庫(gene expression omnibus,GEO)中下載了原始數(shù)據(jù),將來源于結(jié)核病患者的外周血單核細胞與健康人的基因進行了比較,共分析篩選出310個差異共表達的基因。隨后,我們應(yīng)用DAVID(the database for annotation,visualization and integrated discovery)數(shù)據(jù)庫對這些差異共表達基因進行了GO(gene ontology)功能富集分析和KEGG(kyoto encyclopedia of genes and genomes)通路分析。通過蛋白互作網(wǎng)絡(luò),我們找到了CCL20、JAK2、STAT1和IL-1β4個結(jié)核病的關(guān)鍵基因。我們的研究表明,數(shù)據(jù)挖掘和整合能夠成為研究結(jié)核病診斷標志物及其發(fā)生發(fā)展機制的有用工具,并可為結(jié)核病的診斷和治療帶來新思路。
[Abstract]:Tuberculosis (tuberculosis,TB) poses a great threat to human beings. It accounts for 1/3 of the world's total population and causes more than 1 million deaths each year. To find molecular markers for TB diagnosis and treatment, we downloaded raw data from the microarray data storage center gene expression synthesis database (gene expression omnibus,GEO). The genes of peripheral blood monocytes from tuberculosis patients were compared with those of healthy people. 310 differentially coexpressed genes were screened. Then we used DAVID (the database for annotation,visualization and integrated discovery) database to analyze the GO (gene ontology) function enrichment and KEGG (kyoto encyclopedia of genes and genomes) pathway of these differentially expressed genes. Through the protein interaction network, we found four key genes of CCL20,JAK2,STAT1 and IL-1 尾. Our research shows that data mining and integration can be a useful tool to study the diagnostic markers of tuberculosis and its pathogenesis, and can bring new ideas for the diagnosis and treatment of tuberculosis.
【作者單位】： 山東淄博第一醫(yī)院結(jié)核科;
【基金】：淄博第一醫(yī)院資助
【分類號】：R52
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本文編號：2204169