Computational modelling of bovine ovarian follicle development
dc.contributor.author
Iber, Dagmar
dc.contributor.author
de Geyter, Christian
dc.date.accessioned
2019-03-25T13:06:36Z
dc.date.available
2017-06-10T20:16:10Z
dc.date.available
2019-03-25T13:06:36Z
dc.date.issued
2013-07
dc.identifier.issn
1752-0509
dc.identifier.other
10.1186/1752-0509-7-60
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/70685
dc.identifier.doi
10.3929/ethz-b-000070685
dc.description.abstract
Background
The development of ovarian follicles hinges on the timely exposure to the appropriate combination of hormones. Follicle stimulating hormone (FSH) and luteinizing hormone (LH) are both produced in the pituitary gland and are transported via the blood circulation to the thecal layer surrounding the follicle. From there both hormones are transported into the follicle by diffusion. FSH-receptors are expressed mainly in the granulosa while LH-receptors are expressed in a gradient with highest expression in the theca. How this spatial organization is achieved is not known. Equally it is not understood whether LH and FSH trigger distinct signalling programs or whether the distinct spatial localization of their G-protein coupled receptors is sufficient to convey their distinct biological function.
Results
We have developed a data-based computational model of the spatio-temporal signalling processes within the follicle and (i) predict that FSH and LH form a gradient inside the follicle, (ii) show that the spatial distribution of FSH- and LH-receptors can arise from the well known regulatory interactions, and (iii) find that the differential activity of FSH and LH may well result from the distinct spatial localisation of their receptors, even when both receptors respond with the same intracellular signalling cascade to their ligand.
Conclusion
The model integrates the large amount of published data into a consistent framework that can now be used to better understand how observed defects translate into failed follicle maturation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
BioMed Central
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/2.0/
dc.subject
Ovarian follicle development
en_US
dc.subject
PDE model
en_US
dc.subject
Computational biology
en_US
dc.subject
Bovine
en_US
dc.title
Computational modelling of bovine ovarian follicle development
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 2.0 Generic
dc.date.published
2013-07-15
ethz.journal.title
BMC Systems Biology
ethz.journal.volume
7
en_US
ethz.journal.abbreviated
BMC syst. biol.
ethz.pages.start
60
en_US
ethz.size
24 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03791 - Iber, Dagmar / Iber, Dagmar
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::03791 - Iber, Dagmar / Iber, Dagmar
ethz.date.deposited
2017-06-10T20:18:32Z
ethz.source
ECIT
ethz.identifier.importid
imp593650e60ecef96326
ethz.ecitpid
pub:111968
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T17:52:29Z
ethz.rosetta.lastUpdated
2020-02-15T18:02:28Z
ethz.rosetta.versionExported
true
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