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dc.contributor.author
Ashcroft, Peter
dc.contributor.author
Manz, Markus G.
dc.contributor.author
Bonhoeffer, Sebastian
dc.date.accessioned
2017-12-14T14:38:49Z
dc.date.available
2017-11-08T04:35:39Z
dc.date.available
2017-12-14T14:38:49Z
dc.date.issued
2017
dc.identifier.issn
1553-734X
dc.identifier.issn
1553-7358
dc.identifier.other
10.1371/journal.pcbi.1005803
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/205790
dc.identifier.doi
10.3929/ethz-b-000205790
dc.description.abstract
Hematopoietic stem cells in mammals are known to reside mostly in the bone marrow, but also transitively passage in small numbers in the blood. Experimental findings have suggested that they exist in a dynamic equilibrium, continuously migrating between these two compartments. Here we construct an individual-based mathematical model of this process, which is parametrised using existing empirical findings from mice. This approach allows us to quantify the amount of migration between the bone marrow niches and the peripheral blood. We use this model to investigate clonal hematopoiesis, which is a significant risk factor for hematologic cancers. We also analyse the engraftment of donor stem cells into non-conditioned and conditioned hosts, quantifying the impact of different treatment scenarios. The simplicity of the model permits a thorough mathematical analysis, providing deeper insights into the dynamics of both the model and of the real-world system. We predict the time taken for mutant clones to expand within a host, as well as chimerism levels that can be expected following transplantation therapy, and the probability that a preconditioned host is reconstituted by donor cells.
en_US
dc.format
application/pdf
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Clonal dominance and transplantation dynamics in hematopoietic stem cell compartments
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-10-09
ethz.journal.title
PLoS Computational Biology
ethz.journal.volume
13
en_US
ethz.journal.issue
10
en_US
ethz.journal.abbreviated
PLOS comput. biol.
ethz.pages.start
e1005803
en_US
ethz.size
20 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
San Francicsco, CA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02720 - Institut für Integrative Biologie / Institute of Integrative Biology::03584 - Bonhoeffer, Sebastian / Bonhoeffer, Sebastian
ethz.date.deposited
2017-11-08T04:35:45Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-12-14T14:38:54Z
ethz.rosetta.lastUpdated
2022-03-28T18:39:15Z
ethz.rosetta.versionExported
true
ethz.COinS
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