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Gonadotropin-releasing hormone signaling: An information theoretic approach

Research output: Contribution to journalReview article

  • Margaritis Voliotis
  • Kathryn L. Garner
  • Hussah Alobaid
  • Krasimira Tsaneva-Atanasova
  • Craig A. McArdle
Original languageEnglish
Pages (from-to)106-115
Number of pages10
JournalMolecular and Cellular Endocrinology
Volume463
Early online date29 Jul 2017
DOIs
DateAccepted/In press - 27 Jul 2017
DateE-pub ahead of print - 29 Jul 2017
DatePublished (current) - 5 Mar 2018

Abstract

Gonadotropin-releasing hormone (GnRH) is a peptide hormone that mediates central control of reproduction, acting via G-protein coupled receptors that are primarily Gq coupled and mediate GnRH effects on the synthesis and secretion of luteinizing hormone and follicle-stimulating hormone. A great deal is known about the GnRH receptor signaling network but GnRH is secreted in short pulses and much less is known about how gonadotropes decode this pulsatile signal. Similarly, single cell measures reveal considerable cell-cell heterogeneity in responses to GnRH but the impact of this variability on signaling is largely unknown. Ordinary differential equation-based mathematical models have been used to explore the decoding of pulse dynamics and information theory-derived statistical measures are increasingly used to address the influence of cell-cell variability on the amount of information transferred by signaling pathways. Here, we describe both approaches for GnRH signaling, with emphasis on novel insights gained from the information theoretic approach and on the fundamental question of why GnRH is secreted in pulses.

    Research areas

  • ERK, GnRH, GPCR, Mathematical modeling, Mutual information, NFAT

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Elsevier at http://www.sciencedirect.com/science/article/pii/S030372071730401X . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.79 MB, PDF document

    Licence: CC BY-NC-ND

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