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dc.contributor.author
Ryu, Hyunryul
dc.contributor.author
Chung, Minhwan
dc.contributor.author
Dobrzyński, Maciej
dc.contributor.author
Fey, Dirk
dc.contributor.author
Blum, Yannick
dc.contributor.author
Lee, Sung Sik
dc.contributor.author
Peter, Matthias
dc.contributor.author
Kholodenko, Boris N.
dc.contributor.author
Jeon, Noo Li
dc.contributor.author
Pertz, Olivier
dc.date.accessioned
2018-06-07T16:07:08Z
dc.date.available
2017-06-11T23:40:21Z
dc.date.available
2018-06-07T16:07:08Z
dc.date.issued
2015-11
dc.identifier.other
10.15252/msb.20156458
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/111597
dc.identifier.doi
10.3929/ethz-b-000111597
dc.description.abstract
Transient versus sustained ERK MAP kinase (MAPK) activation dynamics induce proliferation versus differentiation in response to epidermal (EGF) or nerve (NGF) growth factors in PC‐12 cells. Duration of ERK activation has therefore been proposed to specify cell fate decisions. Using a biosensor to measure ERK activation dynamics in single living cells reveals that sustained EGF/NGF application leads to a heterogeneous mix of transient and sustained ERK activation dynamics in distinct cells of the population, different than the population average. EGF biases toward transient, while NGF biases toward sustained ERK activation responses. In contrast, pulsed growth factor application can repeatedly and homogeneously trigger ERK activity transients across the cell population. These datasets enable mathematical modeling to reveal salient features inherent to the MAPK network. Ultimately, this predicts pulsed growth factor stimulation regimes that can bypass the typical feedback activation to rewire the system toward cell differentiation irrespective of growth factor identity.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publ. Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Cell fate decisions
en_US
dc.subject
ERK activity dynamics
en_US
dc.subject
FRET biosensor
en_US
dc.subject
Single cell biology
en_US
dc.subject
Signaling heterogeneity
en_US
dc.title
Frequency modulation of ERK activation dynamics rewires cell fate
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2015-11-27
ethz.journal.title
Molecular Systems Biology
ethz.journal.volume
11
en_US
ethz.journal.issue
11
en_US
ethz.pages.start
838
en_US
ethz.size
14 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.nebis
004931271
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::02030 - Dep. Biologie / Dep. of Biology::02517 - Institut für Biochemie / Institute of Biochemistry (IBC)::03595 - Peter, Matthias / Peter, Matthias
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02030 - Dep. Biologie / Dep. of Biology::02517 - Institut für Biochemie / Institute of Biochemistry (IBC)::03595 - Peter, Matthias / Peter, Matthias
ethz.date.deposited
2017-06-11T23:40:59Z
ethz.source
ECIT
ethz.identifier.importid
imp593654081d6e399107
ethz.ecitpid
pub:173030
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-12T14:31:08Z
ethz.rosetta.lastUpdated
2018-11-07T11:31:18Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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