A Two-Level Approach for Fusing Early Signaling Events and Long Term Cellular Responses

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