We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models.
- Authors
Manway Liu; Liberzon, Arthur; Sek Won Kong; Lai, Weil R.; Park, Peter J.; Kohane, Isaac S.; Kasif, Simon
- 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.
- Publication
PLoS Genetics, 2007, Vol 3, Issue 6, pe96
- ISSN
1553-7390
- Publication type
Academic Journal
- DOI
10.1371/journal.pgen.0030096