A Two-level Approach for Fusing Early Signaling Events and Long Term Cellular Responses. Issue 8 (2015)

• Record Type: Journal Article
• Authors: Rudolph, Nadine; Meyer, Tina; Franzen, Kristina; Garbers, Christoph; Schaper, Fred; Streif, Stefan; Dittrich, Anna; Findeisen, Rolf
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 8(2015)
• Page Start: 1228
• Page End: 1233
• Publication Date: 2015
• Subjects: set-based approach -- model invalidation -- parameter estimation -- convex optimization -- information processing -- early signaling events and long term biological responses; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.09.136
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: In biological systems, reactions on different time scales exist and need to be considered for the analysis of physiological reactions such as proliferation. In this contribution we describe a two-level approach to decode biological reactions on a short time-scale, e. g. signaling, into long term cellular responses, e. g. proliferation. First, we derive a valid and parametrized dynamic model for signaling events on the short time-scale using set-based estimation methods allowing to take uncertainties into account. Second, the derived model candidate for early signaling events is fused with a model for long term proliferation using shape-based signaling properties. This approach is realized in the specific case study of Interleukin-6-induced signaling and proliferation. Our modeling approach enables us to consider both, dynamic early signaling events and static long term events. Furthermore, it allows a deeper understanding of how cells process information from early signaling events to long term cellular responses.