Li Shouxin, Jiang Wei, Huang Rui, Wang Xiaohui, Liu Wen, Shen Shouyin
Department of Rheumatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
J Huazhong Univ Sci Technolog Med Sci. 2007 Aug;27(4):367-71. doi: 10.1007/s11596-007-0405-6.
This study examined the gene expression patterns of peripheral blood mononuclear cells (PBMCs) in patients with systemic lupus erythematosus (SLE) by using serial analysis of gene expression (SAGE) technology. Following the construction of serial analysis of gene expression (SAGE) library of PBMCs collected from 3 cases of familial SLE patients, a large scale of tag sequencing was performed. The data extracted from sequencing files was analyzed with SAGE 2000 V 4.5 software. The top 30 expressed genes of SLE patients were uploaded to http://david.niaid.nih.gov/david/ease.htm and the functional classification of genes was obtained. The differences among those expressed gene were analyzed by Chi-square tests. The results showed that a total of 1286 unique SAGE tags were identified from 1814 individual SAGE tags. Among the 1286 unique tags, 86.8% had single copy, and only 0.2% tags had more than 20 copies. And 68.4% of the tags matched known expressed sequences, 41.1% of which matched more than one known expressed sequence. About 31.6% of the tags had no match and could represent potentially novel genes. Approximately one third of the top 30 genes were ribosomal protein, and the rest were genes related to metabolism or with unknown functions. Eight tags were found to express differentially in SAGE library of SLE patients. This study draws a profile of gene expression patterns of PBMCs in patients with SLE. Comparison of SAGE database from PBMCs between normal individuals and SLE patients will help us to better understand the pathogenesis of SLE.
本研究运用基因表达序列分析(SAGE)技术,检测了系统性红斑狼疮(SLE)患者外周血单个核细胞(PBMCs)的基因表达模式。构建了3例家族性SLE患者PBMCs的基因表达序列分析(SAGE)文库后,进行了大规模标签测序。从测序文件中提取的数据用SAGE 2000 V 4.5软件进行分析。将SLE患者表达量最高的30个基因上传至http://david.niaid.nih.gov/david/ease.htm,获得基因的功能分类。通过卡方检验分析这些表达基因之间的差异。结果显示,从1814个个体SAGE标签中共鉴定出1286个独特的SAGE标签。在这1286个独特标签中,86.8%为单拷贝,只有0.2%的标签拷贝数超过20。68.4%的标签与已知表达序列匹配,其中41.1%与多个已知表达序列匹配。约31.6%的标签无匹配,可能代表潜在的新基因。表达量最高的30个基因中约三分之一是核糖体蛋白,其余是与代谢相关或功能未知的基因。在SLE患者的SAGE文库中发现8个标签表达存在差异。本研究描绘了SLE患者PBMCs的基因表达模式概况。比较正常个体和SLE患者PBMCs的SAGE数据库将有助于我们更好地理解SLE的发病机制。