以EP300为中心的胰腺癌相关蛋白质相互作用网络特征分析

Analysis of protein interaction networks related to core protein EP300 of pancreatic cancer

目的 :查找生物信息平台的胰腺癌相关基因、蛋白质调控网络以及生物通道功能注释信息数据,建立胰腺癌转移相关蛋白质相互作用网络。方法:筛选GEO数据库中获取的3组基因表达谱芯片(编号GSE22780、GSE22973、GSE14245),分为正常组和胰腺癌组,利用倍数变化分析得到胰腺癌阶段的差异表达基因集,再将基因集投射到蛋白质相互作用数据,得到相应的蛋白质网络,取相对独立、相互作用较集中且与转移密切相关的蛋白质子网络进行功能富集分析。结果:建立胰腺癌发生发展过程中的蛋白质相互作用网络,分析与转移密切相关的蛋白质子网络,得到以EP300为中心的胰腺癌相关蛋白质相互作用网络。结论:本研究利用生物信息平台的胰腺癌相关基因和蛋白质数据,建立以EP300为中心的胰腺癌相关蛋白质相互作用网络,为胰腺癌研究提供信息,可用于寻找胰腺癌的诊治靶点。

Objective To analyze large amounts of data including the genes, proteins networks and the function of pathway from Affymetrix Human Genome U133 Plus 2.0 generated by pancreatic cancer gene chips and to establish protein interaction networks related to metastatic pancreatic cancer. Methods Fold change was used to analyses 3 chips （GSE22780, GSE22973, GSE14245） from gene expression omnibus database with normal group and pancreatic cancer group to find the genes expressed differentially during pancreatic cancer phase. Then the genes which expressed differen- tially were projected to the proteins to establish protein interaction networks. Finally functional annotation bioinformatics microarray analysis was performed to those relatively independent and interactive networks which were highly related to metastasis. Results Protein interaction networks related to metastasis of pancreatic cancer was established. Using these networks, EP300 was found to be core protein of the protein interaction networks related to of pancreatic cancer. Conclusions The gene and protein data related to pancreatic cancer were collected in this study by bioinformatics methods. The protein interaction networks related pancreatic cancer has been established. The core protein EP300 was found in the networks and could be used as a new clue in future research.