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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3280966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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