A gene expression network model of type 2 diabetes links cell cycle regulation in islets with diabetes susceptibility

Mark P. Keller, Youn Jeong Choi, Ping Wang, Dawn Belt Davis, Mary E. Rabaglia, Angie T. Oler, Donald S. Stapleton, Carmen Argmann, Kathy L. Schueler, Steve Edwards, H. Adam Steinberg, Elias Chaibub Neto, Robert Kleinhanz, Scott Turner, Marc K. Hellerstein, Eric E. Schadt, Brian S. Yandell, Christina Kendziorski, Alan D. Attie

Research output: Contribution to journalArticlepeer-review

296 Scopus citations

Abstract

Insulin resistance is necessary but not sufficient for the development of type 2 diabetes. Diabetes results when pancreatic beta-cells fail to compensate for insulin resistance by increasing insulin production through an expansion of beta-cell mass or increased insulin secretion. Communication between insulin target tissues and beta-cells may initiate this compensatory response. Correlated changes in gene expression between tissues can provide evidence for such intercellular communication. We profiled gene expression in six tissues of mice from an obesity-induced diabetes-resistant and a diabetes-susceptible strain before and after the onset of diabetes. We studied the correlation structure of mRNA abundance and identified 105 co-expression gene modules. We provide an interactive gene network model showing the correlation structure between the expression modules within and among the six tissues. This resource also provides a searchable database of gene expression profiles for all genes in six tissues in lean and obese diabetes-resistant and diabetes-susceptible mice, at 4 and 10 wk of age. A cell cycle regulatory module in islets predicts diabetes susceptibility. The module predicts islet replication; we found a strong correlation between 2H2O incorporation into islet DNA in vivo and the expression pattern of the cell cycle module. This pattern is highly correlated with that of several individual genes in insulin target tissues, including Igf2, which has been shown to promote beta-cell proliferation, suggesting that these genes may provide a link between insulin resistance and beta-cell proliferation.

Original languageEnglish
Pages (from-to)706-716
Number of pages11
JournalGenome Research
Volume18
Issue number5
DOIs
StatePublished - May 2008
Externally publishedYes

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