髓母细胞瘤基因表达谱芯片关键基因的生物信息学分析

Bioinformatics Analysis of Key Genes in Gene Expression Profile Chip of Medulloblastoma

筛选髓母细胞瘤(medulloblastoma, MB)发生发展的关键基因,可为MB分子机制的进一步研究提供生物信息学依据。本文通过下载GEO (Gene Expression Omnibus)数据库GSE50161原始数据,利用R语言对正常脑组织与髓母细胞瘤组织中差异表达的基因进行分析;通过生物信息学分析工具(DAVID、STRING和Cytoscape)对差异基因进行生物学功能和蛋白质相互作用(protein-protein interaction, PPI)分析,并通过PPI筛选互作调控的关键基因。结果显示,总共筛选出999个差异表达的基因,鉴定了CCNB1、AURKB、MAD2L1、CENPE、KIF2C、BUB1、BUB1B、NDC80、CENPF、CDC20十个关键基因。差异基因生物学功能主要富集于有丝分裂的核分裂、染色体分离、微管蛋白结合、RAGE受体结合等生物过程。KEGG信号通路分析结果显示差异基因主要富集于细胞周期、NF-κB、IL-17和T细胞受体等信号通路。10个关键基因的生物学功能和信号通路主要富集于细胞有丝分裂和细胞周期通路。因此,细胞周期通路对MB的增殖和分裂起着关键性的作用,相关的分子机制值得进一步深入研究。

Screening the key genes for the genesis and development of medulloblastoma (MB) can provide bioinformatics basis for the further study on the molecular mechanism of MB. Raw data were retrieved from Gene Expression Omnibus (GEO) database GSE50161 and expression profiles of the genes between the normal and MB tissues were conducted with R language. Bioinformatics analysis tools (DAVID, STRING and Cytoscape) were used to analyze the biological functions and protein-protein interaction (PPI) of differentially expressed genes, and the key genes involved in interaction network were screened by PPI. The results revealed that 999 differentially expressed genes were screened and 10 key genes (CCNB1, AURKB, MAD2L1, CENPE, KIF2C, BUB1, BUB1B, NDC80, CENPF, CDC20) were identified. The biological functions of most differentially expressed genes were enriched in mitotic nuclear division, chromosomal segregation, tubulin binding and RAGE receptor binding. The KEGG signaling pathway analysis showed that the differential genes were enriched in signal pathways such as cell cycle, NF-κB, IL-17 and T cell receptors. The biological functions and signaling pathways of ten key genes are concentrated in cell mitosis and cyclic regulation. Therefore, the cell cycle pathway plays a crucial role in the MB’s proliferation and division. The related molecular mechanism deserves further study.