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Theis, F.J. ; Bohl, S.* ; Klingmüller, U.*

Theoretical analysis of time-to-peak responses in biological reaction networks.

Bull. Math. Biol. 73, 978-1003 (2011)
DOI PMC
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Processing of information by signaling networks is characterized by properties of the induced kinetics of the activated pathway components. The maximal extent of pathway activation (maximum amplitude) and the time-to-peak-response (position) are key determinants of biological responses that have been linked to specific outcomes. We investigate how the maximum amplitude of pathway activation and its position depend on the input and wiring of a signaling network. For this purpose, we consider a simple reaction A-->B that is regulated by a transient input and extended this to include back-reaction and additional partners. In particular, we show that a unique maximum of B(t) exists. Moreover, we prove that the position of the maximum is independent of the applied input but regulated by degradation reactions of B. Indeed, the time-to-peak-response decreases with increasing degradation rate, which we prove for small models and show in simulations for more complex ones. The identified dependencies provide insights into design principles that facilitate the realization dynamical characteristics like constant position of maximal pathway activation and thereby guide the characterization of unknown kinetics within larger protein networks.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Receptor ligand modeling; Regulatory networks; Quantitative modeling;Systems biology
Sprache englisch
Veröffentlichungsjahr 2011
Prepublished im Jahr 2010
HGF-Berichtsjahr 2010
ISSN (print) / ISBN 0092-8240
e-ISSN 1522-9602
Quellenangaben Band: 73, Heft: 5, Seiten: 978-1003 Artikelnummer: , Supplement: ,
Verlag Springer
Begutachtungsstatus Peer reviewed
POF Topic(s) 30505 - New Technologies for Biomedical Discoveries
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503700-004
PubMed ID 20499193
Scopus ID 79953694227
Erfassungsdatum 2010-12-31