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Background  Physiological long term adaptation of pancreatic beta cells is driven by stimuli such as glucose and incretin hormones acting via cAMP (e.g. GLP-1) and involves regulated gene expression. Several rapidly inducible immediate-early genes (IEGs) have been identified in beta cells. Many of these IEGs code for transcription factors and have the potential to control the transcription of downstream  target  genes likely involved in long term cellular adaptation. The identity of these  target  genes has not been determined, and the sequence of events occurring during beta cell adaptation is still unclear.    Results  We have developed a microarray-based strategy for the systematic search of  targets . In Min6 insulin-secreting cells, we identified 592  targets  and 1278 IEGs responding to a co-stimulation with glucose and cAMP. Both IEGs and  targets  were involved in a large panel of functions, including those important to beta cell physiology (metabolism, secretion). Nearly 200 IEGs were involved in signaling and transcriptional regulation. To find specific examples of the regulatory link between IEGs and  targets ,  target  promoter sequences were analyzed  in silico . Statistically significant over-representation of AP-1 response elements notably suggested an important role for this transcription factor, which was experimentally verified. Indeed, cell stimulation altered expression of IEG-encoded components of the AP-1 complex, activating AP-1-dependent transcription. Loss and gain-of-function experiments furthermore allowed to validate a new AP-1 regulated gene ( sulfiredoxin ) among the  targets . AP-1 and  sulfiredoxin  are sequentially induced also in primary cells from rat islets of Langerhans.    Conclusion  By identifying IEGs and their downstream  targets , this study brings a comprehensive description of the transcriptional response occurring after beta cell stimulation, as well as new mechanistic insights concerning the AP-1 transcription factor.

Transcriptional response of pancreatic beta cells to metabolic stimulation: large scale identification of immediate-early and secondary response genes