多效生长因子相关基因的生物信息学分析

Bioinformatics Analysis of Pleiotrophin Related Genes

目的:用生物信息学方法分析多效生长因子(PTN)潜在的分子功能。方法:利用由美国亚利桑那癌中心提供的生物信息学数据库,对前期用小鼠全基因组表达谱芯片检测到的Ptn相关基因进行生物信息学分析,通过GO Terms分析这些基因所属的功能群体,用Pathway Miner分析这些基因参与调控的信号通路。结果:370个由芯片检测得到的Ptn相关基因中,在GO Terms数据库中找到231个基因,其中参与细胞成分构成的基因占31.83%,具有分子功能的基因占35.34%,而参与生物学过程的基因占32.83%;在Pathway Miner数据库中找到105个基因。这些基因相关的信号通路有230条,分别属于细胞和调控过程通路以及代谢通路。结论:PTN是一个重要的细胞因子,可能参与机体的免疫与防御反应、炎症反应,以及细胞的增殖、凋亡调控等。

Objective： To explore the potential molecular functions of pleiotrophin（PTN）. Methods： The Arizona cancer center biolnformaties resources were used to perform bioinformaties analysis. The Ptn-related genes which identified from genomie-based eDNA mieroarray analysis were put to GO Terms analysis to classify genes based on gene ontology terms, and Pathway Miner analysis to classify and extract network of associated genes/proteins based on KEGG, BIOKARTA and GENMAPP resources. Results： Bioinformaties analysis revealed that in 370 Ptn significantly related genes, 231 genes were present in GO Terms database and 105 genes were found in Pathway Miner database. According to GO Terms analysis, the distribution of these present genes was as follows, cellular component, 31.83%; molecular function, 35.34%; biological process, 32.83%. According to Pathway Miner analysis, more than 100 pathways were associated with these genes, these pathways including cellular and regulatory process pathways and metabolism pathways. Conclusion： The bioinformaties analysis results manifested that PTN is an important eytokine which should be involved in immune and defense response, inflammatory response, cell proliferation and apoptosis regulation and so on.