@article {564046,
	title = {Network-based analysis of affected biological processes in type 2 diabetes models.},
	journal = {PLoS Genet},
	volume = {3},
	number = {6},
	year = {2007},
	month = {2007 Jun},
	pages = {e96},
	abstract = {
	Type 2 diabetes mellitus is a complex disorder associated with multiple genetic, epigenetic, developmental, and environmental factors. Animal models of type 2 diabetes differ based on diet, drug treatment, and gene knockouts, and yet all display the clinical hallmarks of hyperglycemia and insulin resistance in peripheral tissue. The recent advances in gene-expression microarray technologies present an unprecedented opportunity to study type 2 diabetes mellitus at a genome-wide scale and across different models. To date, a key challenge has been to identify the biological processes or signaling pathways that play significant roles in the disorder. Here, using a network-based analysis methodology, we identified two sets of genes, associated with insulin signaling and a network of nuclear receptors, which are recurrent in a statistically significant number of diabetes and insulin resistance models and transcriptionally altered across diverse tissue types. We additionally identified a network of protein-protein interactions between members from the two gene sets that may facilitate signaling between them. Taken together, the results illustrate the benefits of integrating high-throughput microarray studies, together with protein-protein interaction networks, in elucidating the underlying biological processes associated with a complex disorder.

},
	keywords = {Animals, Diabetes Mellitus, Type 2, Disease Models, Animal, Gene Expression Profiling, Gene Expression Regulation, Humans, Insulin, Models, Biological, Signal Transduction, Systems Biology},
	issn = {1553-7404},
	doi = {10.1371/journal.pgen.0030096},
	author = {Liu, Manway and Liberzon, Arthur and Kong, Sek Won and <b>Lai, Weil R</b> and <b>Park, Peter J</b> and Kohane, Isaac S and Kasif, Simon}
}
