dc.contributor.author | Liu, Manway | |
dc.contributor.author | Liberzon, Arthur | |
dc.contributor.author | Kong, Sek Won Won | |
dc.contributor.author | Lai, Weil R | |
dc.contributor.author | Park, Peter J. | |
dc.contributor.author | Kohane, Isaac Samuel | |
dc.contributor.author | Kasif, Simon | |
dc.date.accessioned | 2011-03-19T07:24:50Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Liu, Manway, Arthur Liberzon, Sek Won Kong, Weil R. Lai, Peter J. Park, Isaac S. Kohane, and Simon Kasif. 2007. Network-based analysis of affected biological processes in type 2 diabetes models. PLoS Genetics 3(6): e96. | en_US |
dc.identifier.issn | 1553-7390 | en_US |
dc.identifier.uri | http://nrs.harvard.edu/urn-3:HUL.InstRepos:4745737 | |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Public Library of Science | en_US |
dc.relation.isversionof | doi:10.1371/journal.pgen.0030096 | en_US |
dc.relation.hasversion | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1904360/pdf/ | en_US |
dash.license | LAA | |
dc.title | Network-Based Analysis of Affected Biological Processes in Type 2 Diabetes Models | en_US |
dc.type | Journal Article | en_US |
dc.description.version | Version of Record | en_US |
dc.relation.journal | PLoS Genetics | en_US |
dash.depositing.author | Kong, Sek Won Won | |
dc.date.available | 2011-03-19T07:24:50Z | |
dash.affiliation.other | HMS^Pediatrics-Children's Hospital | en_US |
dash.affiliation.other | HMS^Health Sciences and Technology | en_US |
dash.affiliation.other | HMS^Pediatrics-Children's Hospital | en_US |
dash.affiliation.other | HMS^Countway Library of Medicine | en_US |
dash.affiliation.other | HMS^Medicine-Brigham and Women's Hospital | en_US |
dash.affiliation.other | HMS^Pediatrics-Children's Hospital | en_US |
dc.identifier.doi | 10.1371/journal.pgen.0030096 | * |
dash.contributor.affiliated | Kong, Sek Won | |
dash.contributor.affiliated | Park, Peter | |
dash.contributor.affiliated | Kohane, Isaac | |