Pancreatic α- and β-cellular clocks have distinct molecular properties and impact on islet hormone secretion and gene expression.

Petrenko V, Saini C, Giovannoni L, Gobet C, Sage D, Unser M, Heddad Masson M, Gu G, Bosco D, Gachon F, Philippe J, Dibner C
Genes Dev. 2017 31 (4): 383-398

PMID: 28275001 · PMCID: PMC5358758 · DOI:10.1101/gad.290379.116

A critical role of circadian oscillators in orchestrating insulin secretion and islet gene transcription has been demonstrated recently. However, these studies focused on whole islets and did not explore the interplay between α-cell and β-cell clocks. We performed a parallel analysis of the molecular properties of α-cell and β-cell oscillators using a mouse model expressing three reporter genes: one labeling α cells, one specific for β cells, and a third monitoring circadian gene expression. Thus, phase entrainment properties, gene expression, and functional outputs of the α-cell and β-cell clockworks could be assessed in vivo and in vitro at the population and single-cell level. These experiments showed that α-cellular and β-cellular clocks are oscillating with distinct phases in vivo and in vitro Diurnal transcriptome analysis in separated α and β cells revealed that a high number of genes with key roles in islet physiology, including regulators of glucose sensing and hormone secretion, are differentially expressed in these cell types. Moreover, temporal insulin and glucagon secretion exhibited distinct oscillatory profiles both in vivo and in vitro. Altogether, our data indicate that differential entrainment characteristics of circadian α-cell and β-cell clocks are an important feature in the temporal coordination of endocrine function and gene expression.

© 2017 Petrenko et al.; Published by Cold Spring Harbor Laboratory Press.

MeSH Terms (16)

Animals Cells, Cultured Circadian Clocks Colforsin Enzyme Activators Gene Expression Profiling Gene Expression Regulation Glucagon Glucagon-Secreting Cells Insulin Insulin-Secreting Cells Insulin Secretion Mice Models, Animal Sequence Analysis, RNA Time Factors

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