Holistic View on Cell Survival and DNA Damage: How Model-Based Data Analysis Supports Exploration of Dynamics in Biological Systems

Figure 4

Top: cell survival curves after parameter search with Equation (11) as objective function: , , , , , , , and (left); , , , , , , , and (right). The plots at the left result from a parameter search where clonogenic assay data is not considered at all (i.e., comet data only as published and discussed in [27]). The plots at the right also show results from a parameter search from comet data alone, but the parameter set producing the best clonogenic cell survival curve (according to Equation (10)) is shown. Since information from clonogenic assay was used, the left plot exhibits a very poor prediction of experimental data (). This shows that the data from comet assay alone do not capture all information required for a successful parameter search. However, some parameter sets are viable—the plot at the right does not suffer from this issue ()—suggesting the use of a joint approach where data from both assays is used. Bottom: experimental and synthetic comet readout for the same parameter sets.