胶质母细胞瘤中的蛋白质-蛋白质相互作用（PPI）网络和聚类分析
The PPI network and clusters analysis in glioblastoma.
作者信息
He W-Q, Gu J-W, Li C-Y, Kuang Y-Q, Kong B, Cheng L, Zhang J-H, Cheng J-M, Ma Y
机构信息
Department of Neurosurgery, Chengdu Military General Hospital, Chengdu, People's Republic of China.
出版信息
Eur Rev Med Pharmacol Sci. 2015 Dec;19(24):4784-90.
OBJECTIVE
Glioblastoma is the most aggressive tumor of the brain. To further understand its molecular mechanism, we carried out a systemic bioinformatics study of gene chips downloaded from Gene Expression Omnibus database.
MATERIALS AND METHODS
LIMMA package in R language was used to identify the differentially expressed genes (DEGs) between glioblastoma samples and normal controls.
RESULTS
Further, we constructed protein-protein interaction networks by mapping the DEGs into PPI data and identified network clusters in these networks. The results revealed that expression of 516 genes, which are mainly involved in phosphate metabolic process and signal transduction, were altered in glioblastoma samples. LYN, CD22 and LCP2 form a densely protein complex in the PPI network.
CONCLUSIONS
Our results suggest that LYN, CD22 and LCP2 play important roles in the occurrence and progression of glioblastoma.
目的
胶质母细胞瘤是最具侵袭性的脑肿瘤。为进一步了解其分子机制，我们对从基因表达综合数据库下载的基因芯片进行了系统的生物信息学研究。
材料与方法
使用R语言中的LIMMA软件包来识别胶质母细胞瘤样本与正常对照之间的差异表达基因（DEG）。
结果
此外，我们通过将DEG映射到蛋白质-蛋白质相互作用（PPI）数据构建了蛋白质-蛋白质相互作用网络，并在这些网络中识别出网络簇。结果显示，在胶质母细胞瘤样本中，516个主要参与磷酸代谢过程和信号转导的基因表达发生了改变。LYN、CD22和LCP2在PPI网络中形成了一个紧密的蛋白质复合物。
结论
我们的结果表明，LYN、CD22和LCP2在胶质母细胞瘤的发生和发展中起重要作用。
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