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dc.contributor.author
Graw, Frederik
dc.contributor.author
Regoes, Roland R.
dc.date.accessioned
2019-01-18T11:53:25Z
dc.date.available
2017-06-09T21:23:11Z
dc.date.available
2019-01-18T11:53:25Z
dc.date.issued
2012-03-22
dc.identifier.issn
1553-734X
dc.identifier.issn
1553-7358
dc.identifier.other
10.1371/journal.pcbi.1002436
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/47853
dc.identifier.doi
10.3929/ethz-b-000047853
dc.description.abstract
Secondary lymphoid organs (SLO), such as lymph nodes and the spleen, display a complex micro-architecture. In the T cell zone the micro-architecture is provided by a network of fibroblastic reticular cells (FRC) and their filaments. The FRC network is thought to enhance the interaction between immune cells and their cognate antigen. However, the effect of the FRC network on cell interaction cannot be quantified to date because of limitations in immunological methodology. We use computational models to study the influence of different densities of FRC networks on the probability that two cells meet. We developed a 3D cellular automaton model to simulate cell movements and interactions along the FRC network inside lymphatic tissue. We show that the FRC network density has only a small effect on the probability of a cell to come into contact with a static or motile target. However, damage caused by a disruption of the FRC network is greatest at FRC densities corresponding to densities observed in the spleen of naïve mice. Our analysis suggests that the FRC network as a guiding structure for moving T cells has only a minor effect on the probability to find a corresponding dendritic cell. We propose alternative hypotheses by which the FRC network might influence the functionality of immune responses in a more significant way.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Influence of the Fibroblastic Reticular Network on Cell-Cell Interactions in Lymphoid Organs
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS Computational Biology
ethz.journal.volume
8
en_US
ethz.journal.issue
3
en_US
ethz.journal.abbreviated
PLOS comput. biol.
ethz.pages.start
e1002436
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
005410277
ethz.publication.place
San Francisco, CA, USA
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
2017-06-09T21:24:39Z
ethz.source
ECIT
ethz.identifier.importid
imp59364f1ccc35985351
ethz.ecitpid
pub:78790
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T01:50:40Z
ethz.rosetta.lastUpdated
2019-01-18T11:53:36Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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