PPAR-γ基因对脂质代谢调控机制的生物信息学分析  

Analysis of influence of peroxisome proliferator-activated receptor-γ gene on lipid metabolism by using bioinformatics tools

作　　者：户国[1] 王守志[1] 李辉[1] 

机构地区：[1]东北农业大学动物科学技术学院,哈尔滨150030

出　　处：《东北农业大学学报》2009年第12期66-70,共5页Journal of Northeast Agricultural University

基　　金：国家重点基础研究发展计划(973)(2006CB102105);黑龙江省自然科学基金重点项目(ZJN0604-01);国家863项目课题(2006AA10A120)

摘　　要：过氧化物酶体增殖激活受体γ(PPAR-γ)是具有重要生物学功能的转录因子,可调控脂肪细胞分泌的多种蛋白质因子基因的表达,促进脂肪细胞分化。它与肥胖、Ⅱ型糖尿病、心血管疾病、癌症的发病风险相关联。研究基于TRANSFAC数据库信息,利用MEME/MAST方法对PPAR-γ进行全基因组范围的靶基因生物信息学定位,并对获得的靶基因进行了GO和KEGG分析,探讨PPAR-γ基因对脂质代谢影响的分子机理。结果表明,PPAR-γ靶基因显著富集于36个GO节点(P<0.05),并参与了10个KEGG代谢通路(P<0.05),这其中大部分GO节点和KEGG代谢通路与脂质代谢密切相关。研究有助于理解PPAR-γ基因对脂质代谢影响的分子机理;同时,对于肥胖和糖尿病等复杂疾病的诊断、预防和治疗具有积极意义。proliferator-activated receptor-γ bioinformatics tOOIS/HU Guo, WANG Technology, Northeast Agricultural University, Abstract： The nuclear receptor peroxisome proliferator-activated receptor y （PPAR-γ） is a key transcriptional regulator of the adipocyte differentiation. It also modulates the synthesis of adipocytokines in the adipose tissue. Its polymorphisms are associated with the risk of type Ⅱdiabetes, obesity, cardiovascular diseases and cancer. In present study, to investigate the mechanism of PPAR-γ influence on the lipid metabolism, the computational prediction of peroxisome proliferator response elements （PPREs） was pursued on a genome-wide scale by using MEME/MAST method based on the information of the TRANSFAC database, then GO and KEGG analyses were carried out. The results showed that, a huge number of PPAR-γ target genes were significantly enriched in 36 GO terms（P〈0.05）; and 10 KEGG pathways （P〈0.05） which were related closely to lipid metabolism. The results should be a valuable resource for elucidation of the mechanism of PPAR-γ influence on the lipid metabolism, meanwhile, it has the importance to the diagnosis, prevention and treatment of complex diseases such as the obesity and diabetes.

关 键 词：PPAR-Γ 脂质代谢 靶基因 生物信息学 

分 类 号：Q332[生物学—遗传学] Q503