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Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()

It is widely recognized that the nature and characteristics of transport across eukaryotic membranes are so complex as to defy intuitive understanding. In these circumstances, quantitative mathematical modeling is an essential tool, both to integrate detailed knowledge of individual transporters and...

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Autores principales: Blatt, Michael R., Wang, Yizhou, Leonhardt, Nathalie, Hills, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Urban & Fischer 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030602/
https://www.ncbi.nlm.nih.gov/pubmed/24268743
http://dx.doi.org/10.1016/j.jplph.2013.09.014
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author Blatt, Michael R.
Wang, Yizhou
Leonhardt, Nathalie
Hills, Adrian
author_facet Blatt, Michael R.
Wang, Yizhou
Leonhardt, Nathalie
Hills, Adrian
author_sort Blatt, Michael R.
collection PubMed
description It is widely recognized that the nature and characteristics of transport across eukaryotic membranes are so complex as to defy intuitive understanding. In these circumstances, quantitative mathematical modeling is an essential tool, both to integrate detailed knowledge of individual transporters and to extract the properties emergent from their interactions. As the first, fully integrated and quantitative modeling environment for the study of ion transport dynamics in a plant cell, OnGuard offers a unique tool for exploring homeostatic properties emerging from the interactions of ion transport, both at the plasma membrane and tonoplast in the guard cell. OnGuard has already yielded detail sufficient to guide phenotypic and mutational studies, and it represents a key step toward ‘reverse engineering’ of stomatal guard cell physiology, based on rational design and testing in simulation, to improve water use efficiency and carbon assimilation. Its construction from the HoTSig libraries enables translation of the software to other cell types, including growing root hairs and pollen. The problems inherent to transport are nonetheless challenging, and are compounded for those unfamiliar with conceptual ‘mindset’ of the modeler. Here we set out guidelines for the use of OnGuard and outline a standardized approach that will enable users to advance quickly to its application both in the classroom and laboratory. We also highlight the uncanny and emergent property of OnGuard models to reproduce the ‘communication’ evident between the plasma membrane and tonoplast of the guard cell.
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spelling pubmed-40306022014-05-28 Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()() Blatt, Michael R. Wang, Yizhou Leonhardt, Nathalie Hills, Adrian J Plant Physiol Physiology It is widely recognized that the nature and characteristics of transport across eukaryotic membranes are so complex as to defy intuitive understanding. In these circumstances, quantitative mathematical modeling is an essential tool, both to integrate detailed knowledge of individual transporters and to extract the properties emergent from their interactions. As the first, fully integrated and quantitative modeling environment for the study of ion transport dynamics in a plant cell, OnGuard offers a unique tool for exploring homeostatic properties emerging from the interactions of ion transport, both at the plasma membrane and tonoplast in the guard cell. OnGuard has already yielded detail sufficient to guide phenotypic and mutational studies, and it represents a key step toward ‘reverse engineering’ of stomatal guard cell physiology, based on rational design and testing in simulation, to improve water use efficiency and carbon assimilation. Its construction from the HoTSig libraries enables translation of the software to other cell types, including growing root hairs and pollen. The problems inherent to transport are nonetheless challenging, and are compounded for those unfamiliar with conceptual ‘mindset’ of the modeler. Here we set out guidelines for the use of OnGuard and outline a standardized approach that will enable users to advance quickly to its application both in the classroom and laboratory. We also highlight the uncanny and emergent property of OnGuard models to reproduce the ‘communication’ evident between the plasma membrane and tonoplast of the guard cell. Urban & Fischer 2014-05-15 /pmc/articles/PMC4030602/ /pubmed/24268743 http://dx.doi.org/10.1016/j.jplph.2013.09.014 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Physiology
Blatt, Michael R.
Wang, Yizhou
Leonhardt, Nathalie
Hills, Adrian
Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()
title Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()
title_full Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()
title_fullStr Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()
title_full_unstemmed Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()
title_short Exploring emergent properties in cellular homeostasis using OnGuard to model K(+) and other ion transport in guard cells()()
title_sort exploring emergent properties in cellular homeostasis using onguard to model k(+) and other ion transport in guard cells()()
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4030602/
https://www.ncbi.nlm.nih.gov/pubmed/24268743
http://dx.doi.org/10.1016/j.jplph.2013.09.014
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