Details

Autor(en) / Beteiligte

• Liu, Manway
• Liberzon, Arthur
• Kong, Sek Won
• Lai, Weil R
• Park, Peter J
• Kohane, Isaac S
• Kasif, Simon
• Kerr, Kathleen

Titel

Network-based analysis of affected biological processes in type 2 diabetes models

Ist Teil von

• PLoS genetics, 2007-06, Vol.3 (6), p.e96-e96

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2007

Quelle

MEDLINE

Beschreibungen/Notizen

• 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.