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Branch Mode Selection during Early Lung Development

Many organs of higher organisms, such as the vascular system, lung, kidney, pancreas, liver and glands, are heavily branched structures. The branching process during lung development has been studied in great detail and is remarkably stereotyped. The branched tree is generated by the sequential, non...

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Autores principales: Menshykau, Denis, Kraemer, Conradin, Iber, Dagmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280966/
https://www.ncbi.nlm.nih.gov/pubmed/22359491
http://dx.doi.org/10.1371/journal.pcbi.1002377
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author Menshykau, Denis
Kraemer, Conradin
Iber, Dagmar
author_facet Menshykau, Denis
Kraemer, Conradin
Iber, Dagmar
author_sort Menshykau, Denis
collection PubMed
description Many organs of higher organisms, such as the vascular system, lung, kidney, pancreas, liver and glands, are heavily branched structures. The branching process during lung development has been studied in great detail and is remarkably stereotyped. The branched tree is generated by the sequential, non-random use of three geometrically simple modes of branching (domain branching, planar and orthogonal bifurcation). While many regulatory components and local interactions have been defined an integrated understanding of the regulatory network that controls the branching process is lacking. We have developed a deterministic, spatio-temporal differential-equation based model of the core signaling network that governs lung branching morphogenesis. The model focuses on the two key signaling factors that have been identified in experiments, fibroblast growth factor (FGF10) and sonic hedgehog (SHH) as well as the SHH receptor patched (Ptc). We show that the reported biochemical interactions give rise to a Schnakenberg-type Turing patterning mechanisms that allows us to reproduce experimental observations in wildtype and mutant mice. The kinetic parameters as well as the domain shape are based on experimental data where available. The developed model is robust to small absolute and large relative changes in the parameter values. At the same time there is a strong regulatory potential in that the switching between branching modes can be achieved by targeted changes in the parameter values. We note that the sequence of different branching events may also be the result of different growth speeds: fast growth triggers lateral branching while slow growth favours bifurcations in our model. We conclude that the FGF10-SHH-Ptc1 module is sufficient to generate pattern that correspond to the observed branching modes.
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spelling pubmed-32809662012-02-22 Branch Mode Selection during Early Lung Development Menshykau, Denis Kraemer, Conradin Iber, Dagmar PLoS Comput Biol Research Article Many organs of higher organisms, such as the vascular system, lung, kidney, pancreas, liver and glands, are heavily branched structures. The branching process during lung development has been studied in great detail and is remarkably stereotyped. The branched tree is generated by the sequential, non-random use of three geometrically simple modes of branching (domain branching, planar and orthogonal bifurcation). While many regulatory components and local interactions have been defined an integrated understanding of the regulatory network that controls the branching process is lacking. We have developed a deterministic, spatio-temporal differential-equation based model of the core signaling network that governs lung branching morphogenesis. The model focuses on the two key signaling factors that have been identified in experiments, fibroblast growth factor (FGF10) and sonic hedgehog (SHH) as well as the SHH receptor patched (Ptc). We show that the reported biochemical interactions give rise to a Schnakenberg-type Turing patterning mechanisms that allows us to reproduce experimental observations in wildtype and mutant mice. The kinetic parameters as well as the domain shape are based on experimental data where available. The developed model is robust to small absolute and large relative changes in the parameter values. At the same time there is a strong regulatory potential in that the switching between branching modes can be achieved by targeted changes in the parameter values. We note that the sequence of different branching events may also be the result of different growth speeds: fast growth triggers lateral branching while slow growth favours bifurcations in our model. We conclude that the FGF10-SHH-Ptc1 module is sufficient to generate pattern that correspond to the observed branching modes. Public Library of Science 2012-02-16 /pmc/articles/PMC3280966/ /pubmed/22359491 http://dx.doi.org/10.1371/journal.pcbi.1002377 Text en Menshykau et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Menshykau, Denis
Kraemer, Conradin
Iber, Dagmar
Branch Mode Selection during Early Lung Development
title Branch Mode Selection during Early Lung Development
title_full Branch Mode Selection during Early Lung Development
title_fullStr Branch Mode Selection during Early Lung Development
title_full_unstemmed Branch Mode Selection during Early Lung Development
title_short Branch Mode Selection during Early Lung Development
title_sort branch mode selection during early lung development
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280966/
https://www.ncbi.nlm.nih.gov/pubmed/22359491
http://dx.doi.org/10.1371/journal.pcbi.1002377
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