dc.contributor.author
Konrath, Fabian
dc.contributor.author
Willenbrock, Michael
dc.contributor.author
Busse, Dorothea
dc.contributor.author
Scheidereit, Claus
dc.contributor.author
Wolf, Jana
dc.date.accessioned
2023-12-06T08:12:21Z
dc.date.available
2023-12-06T08:12:21Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/41764
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-41484
dc.description.abstract
The activation of IKK/NF-κB by genotoxic stress is a crucial process in the DNA damage response. Due to the anti-apoptotic impact of NF-κB, it can affect cell-fate decisions upon DNA damage and therefore interfere with tumor therapy-induced cell death. Here, we developed a dynamical model describing IKK/NF-κB signaling that faithfully reproduces quantitative time course data and enables a detailed analysis of pathway regulation. The approach elucidates a pathway topology with two hubs, where the first integrates signals from two DNA damage sensors and the second forms a coherent feedforward loop. The analyses reveal a critical role of the sensor protein PARP-1 in the pathway regulation. Introducing a method for calculating the impact of changes in individual components on pathway activity in a time-resolved manner, we show how irradiation dose influences pathway activation. Our results give a mechanistic understanding relevant for the interpretation of experimental and clinical studies.
en
dc.format.extent
22 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Experimental models
en
dc.subject
Systems biology
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
A computational model of the DNA damage-induced IKK/ NF-κB pathway reveals a critical dependence on irradiation dose and PARP-1
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
107917
dcterms.bibliographicCitation.doi
10.1016/j.isci.2023.107917
dcterms.bibliographicCitation.journaltitle
iScience
dcterms.bibliographicCitation.number
10
dcterms.bibliographicCitation.volume
26
dcterms.bibliographicCitation.url
https://doi.org/10.1016/j.isci.2023.107917
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Bioinformatik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2589-0042
refubium.resourceType.provider
WoS-Alert