Mathematical models in GnRH research. (25th January 2022)
- Record Type:
- Journal Article
- Title:
- Mathematical models in GnRH research. (25th January 2022)
- Main Title:
- Mathematical models in GnRH research
- Authors:
- Voliotis, Margaritis
Plain, Zoe
Li, Xiao Feng
McArdle, Craig A.
O'Byrne, Kevin T.
Tsaneva‐Atanasova, Krasimira - Other Names:
- Lehman Mike guestEditor.
- Abstract:
- Abstract: Mathematical modelling is an indispensable tool in modern biosciences, enabling quantitative analysis and integration of biological data, transparent formulation of our understanding of complex biological systems, and efficient experimental design based on model predictions. This review article provides an overview of the impact that mathematical models had on GnRH research. Indeed, over the last 20 years mathematical modelling has been used to describe and explore the physiology of the GnRH neuron, the mechanisms underlying GnRH pulsatile secretion, and GnRH signalling to the pituitary. Importantly, these models have contributed to GnRH research via novel hypotheses and predictions regarding the bursting behaviour of the GnRH neuron, the role of kisspeptin neurons in the emergence of pulsatile GnRH dynamics, and the decoding of GnRH signals by biochemical signalling networks. We envisage that with the advent of novel experimental technologies, mathematical modelling will have an even greater role to play in our endeavour to understand the complex spatiotemporal dynamics underlying the reproductive neuroendocrine system. Abstract : This review article provides an overview of mathematical modelling in GnRH research. We review mathematical models that have been used to describe and explore various aspects of the reproductive neuroendocrine system, including the the electrophysiology of the GnRH neuron; GnRH signalling in the pituitary; and the mechanisms underlyingAbstract: Mathematical modelling is an indispensable tool in modern biosciences, enabling quantitative analysis and integration of biological data, transparent formulation of our understanding of complex biological systems, and efficient experimental design based on model predictions. This review article provides an overview of the impact that mathematical models had on GnRH research. Indeed, over the last 20 years mathematical modelling has been used to describe and explore the physiology of the GnRH neuron, the mechanisms underlying GnRH pulsatile secretion, and GnRH signalling to the pituitary. Importantly, these models have contributed to GnRH research via novel hypotheses and predictions regarding the bursting behaviour of the GnRH neuron, the role of kisspeptin neurons in the emergence of pulsatile GnRH dynamics, and the decoding of GnRH signals by biochemical signalling networks. We envisage that with the advent of novel experimental technologies, mathematical modelling will have an even greater role to play in our endeavour to understand the complex spatiotemporal dynamics underlying the reproductive neuroendocrine system. Abstract : This review article provides an overview of mathematical modelling in GnRH research. We review mathematical models that have been used to describe and explore various aspects of the reproductive neuroendocrine system, including the the electrophysiology of the GnRH neuron; GnRH signalling in the pituitary; and the mechanisms underlying GnRH pulsatile secretion. … (more)
- Is Part Of:
- Journal of neuroendocrinology. Volume 34:Number 5(2022)
- Journal:
- Journal of neuroendocrinology
- Issue:
- Volume 34:Number 5(2022)
- Issue Display:
- Volume 34, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 34
- Issue:
- 5
- Issue Sort Value:
- 2022-0034-0005-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-01-25
- Subjects:
- biophysical modelling -- GnRH -- mathematical modelling
Neuroendocrinology -- Periodicals
616.4 - Journal URLs:
- http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=jne ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2826 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/jne.13085 ↗
- Languages:
- English
- ISSNs:
- 0953-8194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5021.543000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22093.xml