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Originally published In Press as doi:10.1074/jbc.M606486200 on August 17, 2006

J. Biol. Chem., Vol. 281, Issue 41, 30967-30978, October 13, 2006
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Mixed Analog/Digital Gonadotrope Biosynthetic Response to Gonadotropin-releasing Hormone*Formula

Frederique Ruf{ddagger}, Myung-June Park{ddagger}§, Fernand Hayot{ddagger}§, Gang Lin, Badrinath Roysam, Yongchao Ge{ddagger}§, and Stuart C. Sealfon{ddagger}§1

From the {ddagger}Department of Neurology and §Center for Translational Systems Biology, Mount Sinai School of Medicine, New York, New York 10029 and the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute, Troy, New York 12180

Mammalian reproduction requires gonadotropin-releasing hormone (GnRH)-mediated signaling from brain neurons to pituitary gonadotropes. Because the pulses of released GnRH vary greatly in amplitude, we studied the biosynthetic response of the gonadotrope to varying GnRH concentrations, focusing on extracellular-regulated kinase (ERK) phosphorylation and egr1 mRNA and protein production. The overall average level of ERK activation in populations of cells increased non-cooperatively with increasing GnRH and did not show evidence of either ultrasensitivity or bistability. However, automated image analysis of single-cell responses showed that whereas individual gonadotropes exhibited two response states, inactive and active, both the probability of activation and the average response in activated cells increased with increasing GnRH concentration. These data indicate a hybrid single-cell response having both digital (switch-like) and analog (graded) features. Mathematical modeling suggests that the hybrid response can be explained by indirect thresholding of ERK activation resulting from the distributed structure of the GnRH-modulated network. The hybrid response mechanism improves the reliability of noisy reproductive signal transmission from the brain to the pituitary.


Received for publication, July 7, 2006 , and in revised form, August 17, 2006.

* This research was supported by National Institutes of Health Grant DK46943. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Formula The on-line version of this article (available at http://www.jbc.org) contains supplemental Figs. S1-S9 and Tables S1-S4.

1 To whom correspondence should be addressed: Neurology Box 1137, One Gustave L. Levy Place, New York, NY 10029. Tel.: 212-241-7075; Fax: 212-289-4107; E-mail: stuart.sealfon{at}mssm.edu.


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