OBJECTIVE: The global incidence of diabetes continues to increase. Cell replacement therapy and islet transplantation offer hope, especially for severely affected patients. Efforts to differentiate insulin-producing beta-cells from progenitor or stem cells require knowledge of the transcriptional programs that regulate the development of the endocrine pancreas. RESEARCH DESIGN AND METHODS: Differentiation toward the endocrine lineage is dependent on the transcription factor Neurogenin 3 (Neurog3, Ngn3). We utilize a Neurog3-enhanced green fluorescent protein knock-in mouse model to isolate endocrine progenitor cells from embryonic pancreata (embryonic day [E]13.5 through E17.5). Using advanced genomic approaches, we generate a comprehensive gene expression profile of these progenitors and their immediate descendants. RESULTS: A total of 1,029 genes were identified as being temporally regulated in the endocrine lineage during fetal development, 237 of which are transcriptional regulators. Through pathway analysis, we have modeled regulatory networks involving these proteins that highlight the complex transcriptional hierarchy governing endocrine differentiation. CONCLUSIONS: We have been able to accurately capture the gene expression profile of the pancreatic endocrine progenitors and their descendants. The list of temporally regulated genes identified in fetal endocrine precursors and their immediate descendants provides a novel and important resource for developmental biologists and diabetes researchers alike.
OBJECTIVE: The global incidence of diabetes continues to increase. Cell replacement therapy and islet transplantation offer hope, especially for severely affected patients. Efforts to differentiate insulin-producing beta-cells from progenitor or stem cells require knowledge of the transcriptional programs that regulate the development of the endocrine pancreas. RESEARCH DESIGN AND METHODS: Differentiation toward the endocrine lineage is dependent on the transcription factor Neurogenin 3 (Neurog3, Ngn3). We utilize a Neurog3-enhanced green fluorescent protein knock-in mouse model to isolate endocrine progenitor cells from embryonic pancreata (embryonic day [E]13.5 through E17.5). Using advanced genomic approaches, we generate a comprehensive gene expression profile of these progenitors and their immediate descendants. RESULTS: A total of 1,029 genes were identified as being temporally regulated in the endocrine lineage during fetal development, 237 of which are transcriptional regulators. Through pathway analysis, we have modeled regulatory networks involving these proteins that highlight the complex transcriptional hierarchy governing endocrine differentiation. CONCLUSIONS: We have been able to accurately capture the gene expression profile of the pancreatic endocrine progenitors and their descendants. The list of temporally regulated genes identified in fetal endocrine precursors and their immediate descendants provides a novel and important resource for developmental biologists and diabetes researchers alike.
Authors: Elhadji M Dioum; Jihan K Osborne; Sean Goetsch; Jamie Russell; Jay W Schneider; Melanie H Cobb Journal: Proc Natl Acad Sci U S A Date: 2011-12-05 Impact factor: 11.205
Authors: Jennifer L Plank; Audrey Y Frist; Alison W LeGrone; Mark A Magnuson; Patricia A Labosky Journal: Endocrinology Date: 2011-09-27 Impact factor: 4.736
Authors: Keith R Anderson; Ruth A Singer; Dina A Balderes; Laura Hernandez-Lagunas; Christopher W Johnson; Kristin B Artinger; Lori Sussel Journal: Development Date: 2011-08 Impact factor: 6.868
Authors: Takuya Sugiyama; Cecil M Benitez; Amar Ghodasara; Lucy Liu; Graeme W McLean; Jonghyeob Lee; Timothy A Blauwkamp; Roeland Nusse; Christopher V E Wright; Guoqiang Gu; Seung K Kim Journal: Proc Natl Acad Sci U S A Date: 2013-07-12 Impact factor: 11.205
Authors: Sebastian Rieck; Peter White; Jonathan Schug; Alan J Fox; Olga Smirnova; Nan Gao; Rana K Gupta; Zhao V Wang; Philipp E Scherer; Mark P Keller; Alan D Attie; Klaus H Kaestner Journal: Mol Endocrinol Date: 2009-07-02
Authors: Sui Wang; Jingbo Yan; Daniel A Anderson; Yanwen Xu; Maneesh C Kanal; Zheng Cao; Christopher V E Wright; Guoqiang Gu Journal: Dev Biol Date: 2009-12-16 Impact factor: 3.582