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...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.展开更多
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)
文摘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.
