论文部分内容阅读
目的研究比较TCF3-PBX1阳性和阴性急性淋巴细胞白血病基因表达的差异,并寻找在特定类型白血病的发生、发展过程中起重要作用的基因,为临床诊疗提供新思路。方法在公共基因芯片数据库GEO中下载GSE11877数据集,利用R编程语言,应用贝叶斯检验和倍比法(fold change)筛选差异表达基因(校正P<0.05,并且log2(fold change)>2)。利用DAVID数据库进行生物学过程功能富集分析。结果共获得207个数据集,其中TCF3-PBX1阳性组23个,阴性组184个,最终汇总获取2 890个基因的表达水平,其中27个符合条件的差异基因被选出,这些基因的功能大致分为细胞骨架结构、细胞信号转导、转录调控、细胞黏附、细胞凋亡等。功能富集分析显示BANK1、GAB1、ZAP70等8个基因在TCF3-PBX1阳性白血病发生、发展过程中可能起到关键作用。结论利用生物信息学方法能有效分析基因芯片数据并获取生物内在信息,TCF3-PBX1阳性白血病的发生是由于多种基因表达改变所致,为确定其早期诊断标志与新治疗靶位提供了新的思路。
Objective To study the differences of gene expression between TCF3-PBX1-positive and -negative acute lymphoblastic leukemia and to find out the genes that play an important role in the occurrence and development of specific leukemia, and to provide new ideas for clinical diagnosis and treatment. Methods The GSE11877 dataset was downloaded from the GEO database and the differentially expressed genes were screened by Bayesian test and fold change using the R programming language (adjusted P <0.05 and log2 fold change> 2) . Using DAVID database for enrichment analysis of biological process functions. RESULTS: A total of 207 datasets were obtained, of which 23 were positive for TCF3-PBX1 and 184 were negative for a total of 2,890 genes. Of these, 27 eligible genes were selected, and the function of these genes was roughly Divided into the cytoskeleton structure, cell signaling, transcriptional regulation, cell adhesion, apoptosis and so on. Functional enrichment analysis showed that BANK1, GAB1, ZAP70 and other 8 genes may play a key role in the development and progression of TCF3-PBX1-positive leukemia. Conclusion The bioinformatics method can effectively analyze gene chip data and obtain biological intrinsic information. The occurrence of TCF3-PBX1 positive leukemia is caused by the change of multiple gene expressions, which provides a new method for identifying its early diagnostic markers and new therapeutic targets Ideas.