Bioinformatics Analysis on Regulatory Mechanism of Peroxisome Proliferator-activated Receptor-γ Gene on Lipid Metabolism  

作　　者：HU Guo WANG Shouzhi LI Hui 

机构地区：[1]College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China

出　　处：《Journal of Northeast Agricultural University(English Edition)》2011年第1期46-51,共6页东北农业大学学报（英文版）

基　　金：Supported by National 973 Project of China (2006CB102105);Natural Science Foundation Key Project of Heilongjiang Province (ZJN0604-01);National 863 Project of China (2006AA10A120)

摘　　要：The nuclear receptor peroxisome proliferator-activated receptor γ（PPAR-γ） is a key transcriptional regulator of adipocyte differentiation.It also modulates the synthesis of adipocytokines in the adipose tissue.Its polymorphisms are associated with the risk of type Ⅱ diabetes,obesity,cardiovascular diseases and cancer.In the present study,to investigate the regulatory mechanism of PPAR-γ gene on lipid metabolism,the computational prediction of peroxisome proliferator response elements（PPREs） was pursued with a genome-wide scale by using MEME/MAST method based on the information of TRANSFAC database,then GO and KEGG analyses were carried out.The results showed that a huge number of predicted target genes of PPAR-γ were significantly enriched in 36 GO terms（P〈0.05） and 10 KEGG pathways（P〈0.05） which were related closely to the lipid metabolism.The results should be a valuable resource for elucidation of the regulatory mechanism of PPAR-γ influence on lipid metabolism,also of the major importance to the diagnosis,prevention and treatment of the complex diseases such as obesity and diabete.The nuclear receptor peroxisome proliferator-activated receptor γ（PPAR-γ） is a key transcriptional regulator of adipocyte differentiation.It also modulates the synthesis of adipocytokines in the adipose tissue.Its polymorphisms are associated with the risk of type Ⅱ diabetes,obesity,cardiovascular diseases and cancer.In the present study,to investigate the regulatory mechanism of PPAR-γ gene on lipid metabolism,the computational prediction of peroxisome proliferator response elements（PPREs） was pursued with a genome-wide scale by using MEME/MAST method based on the information of TRANSFAC database,then GO and KEGG analyses were carried out.The results showed that a huge number of predicted target genes of PPAR-γ were significantly enriched in 36 GO terms（P〈0.05） and 10 KEGG pathways（P〈0.05） which were related closely to the lipid metabolism.The results should be a valuable resource for elucidation of the regulatory mechanism of PPAR-γ influence on lipid metabolism,also of the major importance to the diagnosis,prevention and treatment of the complex diseases such as obesity and diabete.

关 键 词：PPAR-Γ lipid metabolism target gene BIOINFORMATICS 

分 类 号：Q332[生物学—遗传学]