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B T Layden
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V Durai
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M V Newman
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A M Marinelarena
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C W Ahn
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G Feng Division of Endocrinology, Northwestern University Biomedical Informatics Center, Division of Transplantation Surgery, Genomics Core, Medical Biotechnology Center, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 15, Chicago, Illinois 60611, USA

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S Lin Division of Endocrinology, Northwestern University Biomedical Informatics Center, Division of Transplantation Surgery, Genomics Core, Medical Biotechnology Center, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 15, Chicago, Illinois 60611, USA

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X Zhang Division of Endocrinology, Northwestern University Biomedical Informatics Center, Division of Transplantation Surgery, Genomics Core, Medical Biotechnology Center, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 15, Chicago, Illinois 60611, USA

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D B Kaufman Division of Endocrinology, Northwestern University Biomedical Informatics Center, Division of Transplantation Surgery, Genomics Core, Medical Biotechnology Center, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 15, Chicago, Illinois 60611, USA

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N Jafari Division of Endocrinology, Northwestern University Biomedical Informatics Center, Division of Transplantation Surgery, Genomics Core, Medical Biotechnology Center, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 15, Chicago, Illinois 60611, USA

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G L Sørensen Division of Endocrinology, Northwestern University Biomedical Informatics Center, Division of Transplantation Surgery, Genomics Core, Medical Biotechnology Center, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, 303 East Chicago Avenue, Tarry 15, Chicago, Illinois 60611, USA

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W L Lowe Jr
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Pancreatic β cells adapt to pregnancy-induced insulin resistance by unclear mechanisms. This study sought to identify genes involved in β cell adaptation during pregnancy. To examine changes in global RNA expression during pregnancy, murine islets were isolated at a time point of increased β cell proliferation (E13.5), and RNA levels were determined by two different assays (global gene expression array and G-protein-coupled receptor (GPCR) array). Follow-up studies confirmed the findings for select genes. Differential expression of 110 genes was identified and follow-up studies confirmed the changes in select genes at both the RNA and protein level. Surfactant protein D (SP-D) mRNA and protein levels exhibited large increases, which were confirmed in murine islets. Cytokine-induced expression of SP-D in islets was also demonstrated, suggesting a possible role as an anti-inflammatory molecule. Complementing these studies, an expression array was performed to define pregnancy-induced changes in expression of GPCRs that are known to impact islet cell function and proliferation. This assay, the results of which were confirmed using real-time reverse transcription-PCR assays, demonstrated that free fatty acid receptor 2 and cholecystokinin receptor A mRNA levels were increased at E13.5. This study has identified multiple novel targets that may be important for the adaptation of islets to pregnancy.

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