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Nucleic Acids Research Advance Access published online on September 22, 2006

Nucleic Acids Research, doi:10.1093/nar/gkl654
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© 2006 The Author(s).
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (
http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Molecular Biology

Mechanisms of transcriptional regulation underlying temporal integration of signals

Dominique A. Glauser and Werner Schlegel*

Fondation pour Recherches Médicales, University of Geneva Switzerland

*To whom correspondence should be addressed at Fondation pour Recherches Médicales, Avenue de la Roseraie 64, 1211 Geneva, Switzerland. Tel: +41 22 382 38 11; Fax: +41 22 347 59 79; Email: werner.schlegel{at}medecine.unige.ch

Received August 22, 2006. Revised August 22, 2006. Accepted August 25, 2006.

How cells convert the duration of signals into differential adaptation of gene expression is a poorly understood issue. Signal-induced immediate-early gene (IEG) expression couples early signals to late expression of downstream <target> genes. Here we study how kinetic features of the IEG-<target> system allow temporal integration of stimuli in a pancreatic beta cell model of metabolic stimulation. Gene expression profiling revealed that beta cells produce drastically different transcriptional outputs in response to different stimuli durations. Noteworthy, most genes (87%) regulated by a sustained stimulation (4 h) were not regulated by a transient stimulation (1 h followed by 3 h without stimulus). We analyzed the induction kinetics of several previously identified IEGs and <targets>. IEG expression persisted as long as stimulation was maintained, but was rapidly lost upon stimuli removal, abolishing the delayed <target> induction. The molecular mechanisms coupling the duration of stimuli to quantitative <target> transcription were demonstrated for the AP-1 transcription factor. In conclusion, we propose that the network composed of IEGs and their <targets> dynamically functions to convert signal inputs of different durations into quantitative differences in global transcriptional adaptation. These findings provide a novel and more comprehensive view of dynamic gene regulation.


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