TY - JOUR
AU - Simon, Kasif
AB - 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.
TI - Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models
JF - PLoS Genetics
DO - 10.1371/journal.pgen.0030096
DA - 2007-06-15
UR - https://www.deepdyve.com/lp/public-library-of-science-plos-journal/network-based-analysis-of-affected-biological-processes-in-type-2-8fo4hCxuc0
SP - e96
VL - 3
IS - 6
DP - DeepDyve
ER -