EB病毒相关伯基特淋巴瘤差异基因表达分析

文章编号]  2096-5532（2019）04-0423-06

[ABSTRACT] Objective To analyze the differentially expressed genes （DEGs） in EB virus （EBV）-associated Burkitt lymphoma （BL） at molecular level， and to provide new ideas for its diagnosis and treatment.  Methods The EBV-positive and-negative BL-related gene microarray data set GSE100458 was obtained from the National Center for Biotechnology Information （NCBI）. DEGs were screened out by Morpheus， and the up-regulated and down-regulated genes were entered into the Database for Annotation Visualization and Integrated Discovery （DAVID） for GO analysis. Ten top genes were identified by cytoscape， and their expression in EBV-positive and EBV-negative BL cell lines was verified by real-time fluorescence quantification PCR.  Results The top 400 DEGs of EBV-positive and EBV-negative BL cell lines were analyzed， including 200 up-regulated genes and 200 down-regulated genes. The up-regulated genes were mainly concentrated in the growth factor activity pathway， heparin binding pathway， and extracellular gap pathway. The down-regulated genes were mainly concentrated in the gamma-tubulin binding pathway， endoplasmic reticulum pathway， and retrograde small vesicle transport pathway. After protein interaction analysis of DEGs，10 core genes such as acetyl coenzyme A carboxylase beta （ACACB） were screened out. Quantitative real-time PCR results showed that there were significant differences in transcriptional expression of 7 genes （CDH1， PRPF19， UBE2N， F2， H6PD， VEGFA， and YARS） between EBV-positive and EBV-negative BL groups （t=3.878-32.601，P<0.05）， and there were no significant diffe-rences in the expression of ACACB， CTTN， and IGF1 （P>0.05）. Conclusion EBV infection can lead to changes in the gene expression profiles of host cells. Bioinformatics analysis can preliminarily screen out DEGs and interacting proteins， providing valuable information and ideas for further research.

相关热词搜索： 淋巴瘤 基因 差异 表达 病毒