TCF3-PBX1阳性急性淋巴细胞白血病相关基因的筛选及生物信息学分析

发布时间：2018-03-09 08:41

本文选题：急性淋巴细胞白血病　切入点：TCF-PBX　出处：《重庆医学》2017年03期 　论文类型：期刊论文

【摘要】：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P0.05,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。
[Abstract]:Objective to study the difference between TCF3-PBX1 positive and negative gene expression in acute lymphoblastic leukemia, and to look at the specific types of leukemia, plays an important role in the gene in the process of development, to provide new ideas for clinical diagnosis and treatment. Methods in public microarray database GEO download GSE11877 data set, using the R programming language, the application of Bayesian test and ratio (fold change) method for screening differentially expressed genes (P0.05 and log2 correction (fold, change) 2). The biological process enrichment analysis using DAVID database. The results of 207 data sets were obtained, including 23 TCF3-PBX1 positive group and negative group 184, the final summary of the expression level of 2890 genes obtained, among them 27 different genes were chosen in line with the conditions, the function of these genes can be divided into cytoskeletal structure, cell signal transduction, transcriptional regulation, cell adhesion, apoptosis and other work. Enrichment analysis showed that BANK1, GAB1, ZAP70 and other 8 genes in TCF3-PBX1 positive leukemia, may play a key role in the process of development. Conclusion using the bioinformatics analysis of microarray data can effectively and obtain the inner information of biological methods, TCF3-PBX1 positive leukemia is due to a variety of gene expression change, provides a new way of thinking in order to determine the early biomarkers and new therapeutic targets.

【作者单位】：南昌大学第二附属医院血液内科;南昌大学血液重点实验室;南昌大学研究生院医学部;
【基金】：江西省科技支撑计划项目(20151BBG70169) 江西省卫生计生委科技计划(20155331)
【分类号】：R733.71

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