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A Hyperandrogenic Mouse Model to Study Polycystic Ovary Syndrome

A Hyperandrogenic Mouse Model to Study Polycystic Ovary Syndrome

Published on: October 2, 2018

Modelling hormonal response and development.

Ute Voß¹, Anthony Bishopp¹, Etienne Farcot²

¹Centre for Plant Integrative Biology, University of Nottingham, Nottingham, LE12 5RD, UK.

Trends in Plant Science

|March 18, 2014

Summary

This summary is machine-generated.

Hormone behavior is complex, requiring advanced multicellular and multiscale modeling. These approaches predict emergent properties and uncover new biological insights, moving beyond simple network analysis.

Keywords:

hormone signalling modelling multiscale modelling systems biology

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Area of Science:

Plant hormone biology
Computational biology
Systems biology

Background:

Hormone homeostasis, transport, perception, and response are increasingly complex.
Initial modeling efforts focused on hormone transport and response pathways.
Advanced modeling is crucial for understanding emergent properties in biological systems.

Purpose of the Study:

To review the importance and application of multicellular and multiscale modeling in plant hormone research.
To highlight successful examples of advanced modeling in predicting emergent properties.
To discuss current challenges in biological and technical aspects of hormone modeling.

Main Methods:

Review of existing literature on plant hormone modeling.
Analysis of case studies demonstrating successful multicellular and multiscale modeling approaches.
Discussion of biological and technical challenges in the field.

Main Results:

Multicellular and multiscale modeling successfully predict emergent properties in hormone systems.
Examples include auxin-cytokinin crosstalk in root vascular development.
Iterative modeling and experimental approaches identified novel roles for proteins like PIN3.

Conclusions:

Advanced modeling approaches are essential for deciphering complex hormone interactions.
Future research should focus on integrating multiscale modeling to predict emergent behaviors.
Overcoming biological and technical challenges will enhance predictive power in hormone research.