@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},
	}