Dresden 2020 – scientific programme
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BP: Fachverband Biologische Physik
BP 40: Systems Biology, Evolution and Neural Networks II
BP 40.6: Talk
Friday, March 20, 2020, 10:45–11:00, ZEU 250
Model for inference of cell dynamics from C14 data — •Julian Rode1, Fabian Rost2, Paula Heinke1, Enikö Lazar3, Lutz Brusch1, and Olaf Bergmann1 — 1Technische Universität Dresden, Dresden, Germany — 2Max Planck Institute for the Physics of Complex Systems, Dresden, Germany — 3Karolinska Institutet, Stockholm, Sweden
Carbon dating is an established method to determine the age of ancient artefacts. Traditionally, radioactive decay changes the C14 ratio of the sample which can be used to determine the age. Recently, a second route has become available as the drastic change of atmospheric C14 due to atomic bomb tests in the 60's allows to invert this classic C14 dating method. Now, the C14 decay is negligible, but the atmospheric C14 changes quickly, allowing an accurate age measurement even of human samples. This method allows to estimate the cell turnover in vivo using the C14 carbon ratio of the DNA from many cells. But a simple matching of C14 values is not sufficient because the measured C14 values are the average of cells with different ages. We introduce a C14-structured population model to predict the average C14 content and accounting for cell division, cell inflow from a fast cycling stem cell population and cell death. Additionally, a priori knowledge such as tissue growth has to be considered resulting in constrains for the model solution. We use variations of this model to analyse C14 data from human liver and muscle tissue.