@article{(Open Science Index):https://publications.waset.org/pdf/16891, title = {Gene Network Analysis of PPAR-γ: A Bioinformatics Approach Using STRING}, author = {S. Bag and S. Ramaiah and P. Anitha and K. M. Kumar and P. Lavanya and V. Sivasakhthi and A. Anbarasu}, country = {}, institution = {}, abstract = {Gene networks present a graphical view at the level of gene activities and genetic functions and help us to understand complex interactions in a meaningful manner. In the present study, we have analyzed the gene interaction of PPAR-γ (peroxisome proliferator-activated receptor gamma) by search tool for retrieval of interacting genes. We find PPAR-γ is highly networked by genetic interactions with 10 genes: RXRA (retinoid X receptor, alpha), PPARGC1A (peroxisome proliferator-activated receptor gamma, coactivator 1 alpha), NCOA1 (nuclear receptor coactivator 1), NR0B2 (nuclear receptor subfamily 0, group B, member 2), HDAC3 (histone deacetylase 3), MED1 (mediator complex subunit 1), INS (insulin), NCOR2 (nuclear receptor co-repressor 2), PAX8 (paired box 8), ADIPOQ (adiponectin) and it augurs well for the fact that obesity and several other metabolic disorders are inter related. }, journal = {International Journal of Bioengineering and Life Sciences}, volume = {1}, number = {1}, year = {2007}, pages = {39 - 42}, ee = {https://publications.waset.org/pdf/16891}, url = {https://publications.waset.org/vol/1}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 1, 2007}, }