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dc.contributor.author
Lang, Christine
dc.contributor.author
Conrad, Lisa
dc.contributor.author
Michos, Odyssé
dc.date.accessioned
2019-03-05T12:26:42Z
dc.date.available
2019-01-05T03:23:17Z
dc.date.available
2019-03-05T12:26:42Z
dc.date.issued
2018-12
dc.identifier.issn
1664-8021
dc.identifier.other
10.3389/fgene.2018.00673
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/313821
dc.identifier.doi
10.3929/ethz-b-000313821
dc.description.abstract
Many organs require a high surface to volume ratio to properly function. Lungs and kidneys, for example, achieve this by creating highly branched tubular structures during a developmental process called branching morphogenesis. The genes that control lung and kidney branching share a similar network structure that is based on ligand-receptor reciprocal signalling interactions between the epithelium and the surrounding mesenchyme. Nevertheless, the temporal and spatial development of the branched epithelial trees differs, resulting in organs of distinct shape and size. In the embryonic lung, branching morphogenesis highly depends on FGF10 signalling, whereas GDNF is the driving morphogen in the kidney. Knockout of Fgf10 and Gdnf leads to lung and kidney agenesis, respectively. However, FGF10 plays a significant role during kidney branching and both the FGF10 and GDNF pathway converge on the transcription factors ETV4/5. Although the involved signalling proteins have been defined, the underlying mechanism that controls lung and kidney branching morphogenesis is still elusive. A wide range of modelling approaches exists that differ not only in the mathematical framework (e.g., stochastic or deterministic) but also in the spatial scale (e.g., cell or tissue level). Due to advancing imaging techniques, image-based modelling approaches have proven to be a valuable method for investigating the control of branching events with respect to organ-specific properties. Here, we review several mathematical models on lung and kidney branching morphogenesis and suggest that a ligand-receptor-based Turing model represents a potential candidate for a general but also adaptive mechanism to control branching morphogenesis during development.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers Media
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
branching morphogenesis
en_US
dc.subject
mathematical modelling
en_US
dc.subject
FGF10
en_US
dc.subject
lung
en_US
dc.subject
kidney
en_US
dc.title
Mathematical Approaches of Branching Morphogenesis
en_US
dc.type
Review Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2018-12-21
ethz.journal.title
Frontiers in Genetics
ethz.journal.volume
9
en_US
ethz.journal.abbreviated
Front. genet.
ethz.pages.start
673
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
Lausanne
ethz.publication.status
published
en_US
ethz.date.deposited
2019-01-05T03:23:19Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-03-05T12:26:45Z
ethz.rosetta.lastUpdated
2024-02-02T07:16:25Z
ethz.rosetta.versionExported
true
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