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Agent-Based Computational Modeling to Examine How Individual Cell Morphology Affects Dosimetry
Citation:
Conolly, R., W. Cheng, C. Eklund, J. Samet, P. Wages, K. Lavrich, S. Bhattacharya, K. Grode, T. Knudsen, AND S. Hunter. Agent-Based Computational Modeling to Examine How Individual Cell Morphology Affects Dosimetry. BOSC CSS, RTP, NC, November 16 - 18, 2016.
Impact/Purpose:
Poster will be presented to the BOSC review of CSS on November 16, 2016. The poster describes a comutational apporach for the study of toxicant dosimetry in vitro at the level of individual cells. The poster also decribes a plan for future work in which this computational modeling aporach will be used in cooridnation with laboratory experiments to study developmental toxicity due to the spatial dynamics of morphological development and transient vulnerability to exogenous (xenobiotics) and endogenous (morphogens) molecular gradients.
Description:
Cell-based models utilizing high-content screening (HCS) data have applications for predictive toxicology. Evaluating concentration-dependent effects on cell fate and state response is a fundamental utilization of HCS data.Although HCS assays may capture quantitative readouts at an individual cell level, the results are interpreted in the context of the administered (global) concentration and do not account for microgradients(local).Here, we investigate the theoretical and experimental determination of ‘microdosimetry’ and explore its utilization for assessing cell-level responses to endogenous factors or xenobiotics in the microphysiologicalenvironment.