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dc.contributor.authorBlum, Yannick
dc.contributor.authorMikelson, Jan
dc.contributor.authorDobrzyński, Maciej
dc.contributor.authorRyu, Hyunryul
dc.contributor.authorJacques, Marc‐Antoine
dc.contributor.authorJeon, Noo L.
dc.contributor.authorKhammash, Mustafa
dc.contributor.authorPertz, Olivier
dc.date.accessioned2024-11-07T15:33:54Z
dc.date.available2024-11-07T15:33:54Z
dc.date.issued2019-11-19
dc.identifier.urihttps://hdl.handle.net/1721.1/157503
dc.description.abstractStimulation of PC‐12 cells with epidermal (EGF) versus nerve (NGF) growth factors (GFs) biases the distribution between transient and sustained single‐cell ERK activity states, and between proliferation and differentiation fates within a cell population. We report that fibroblast GF (FGF2) evokes a distinct behavior that consists of a gradually changing population distribution of transient/sustained ERK signaling states in response to increasing inputs in a dose response. Temporally controlled GF perturbations of MAPK signaling dynamics applied using microfluidics reveal that this wider mix of ERK states emerges through the combination of an intracellular feedback, and competition of FGF2 binding to FGF receptors (FGFRs) and heparan sulfate proteoglycan (HSPG) co‐receptors. We show that the latter experimental modality is instructive for model selection using a Bayesian parameter inference. Our results provide novel insights into how different receptor tyrosine kinase (RTK) systems differentially wire the MAPK network to fine‐tune fate decisions at the cell population level.en_US
dc.publisherNature Publishing Group UKen_US
dc.relation.isversionofhttps://doi.org/10.15252/msb.20198947en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNature Publishing Group UKen_US
dc.titleTemporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signalingen_US
dc.typeArticleen_US
dc.identifier.citationMolecular Systems Biology. 2019 Nov 19;15(11):MSB198947en_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.relation.journalMolecular Systems Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2024-10-27T17:27:06Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.date.submission2024-10-27T17:27:06Z
mit.journal.volume15en_US
mit.journal.issue11en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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