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We carry out computational inverse problem investigations to de- termine the importance of allowing for unequal label allocation to daughter cells during mitosis. Parameter estimations are performed using previously de- veloped label-structured partial differential equation models that utilize cytons to account for variability in times between cell divisions as well as times until cell death. These models are augmented to allow for asymmetric cell divisions through inclusion of an additional model parameter. We employ well-known model comparison tests to analyze CFSE-based flow cytometry data with re- spect to the importance of asymmetric division during proliferation of human CD4+ and CD8+ T cells.

EVALUATING THE IMPORTANCE OF MITOTIC ASYMMETRY IN CYTON-BASED MODELS FOR FSE-BASED FLOW CYTOMETRY DATA