Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models

@article{citeulike:1477440, 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\&\#8211;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\&\#8211;protein interaction networks, in elucidating the underlying biological processes associated with a complex disorder.}, author = {Liu, Manway and Liberzon, Arthur and Kong, Sek W. and Lai, Weil R. and Park, Peter J. and Kohane, Isaac S. and Kasif, Simon }, citeulike-article-id = {1477440}, doi = {http://dx.doi.org/10.1371/journal.pgen.0030096}, journal = {PLoS Genetics}, month = {June}, number = {6}, pages = {e96+}, posted-at = {2007-07-24 20:33:59}, priority = {2}, title = {Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models}, url = {http://dx.doi.org/10.1371/journal.pgen.0030096}, volume = {3}, year = {2007} }

TY - JOUR ID - citeulike:1477440 L3 - citeulike-article-id:1477440 N2 - 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. IS - 6 JF - PLoS Genetics TI - Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models VL - 3 SP - e96 AU - Liu, Manway AU - Liberzon, Arthur AU - Kong, Sek AU - Lai, Weil AU - Park, Peter AU - Kohane, Isaac AU - Kasif, Simon PY - 2007/06/01/ UR - http://dx.doi.org/10.1371/journal.pgen.0030096 ER -