Clonal dynamics of surface-driven growing tissues
By: Ruslan Mukhamadiarov
From: Faculty of Physics, Ludwig-Maximilians University Munich, Germany
At: Building C8, room 8.2.38
[2024-02-07]
The self-organization of cells into complex tissues relies on a tight coordination of cell behavior. Identifying the cellular processes driving tissue growth is key to understanding the emergence of tissue forms and devising targeted therapies for aberrant growth, such as in cancer. Inferring the mode of tissue growth, whether it is driven by cells on the surface or cells in the bulk, is possible in cell culture experiments, but difficult in most tissues in living organisms (in vivo). Genetic tracing experiments, where a subset of cells is labeled with inheritable markers have become important experimental tools to study cell fate in vivo. Here, we show that the mode of tissue growth is reflected in the size distribution of the progeny of marked cells. To this end, we derive the clone-size distributions using analytical calculations and an agent-based stochastic sampling technique in the limit of negligible cell migration and cell death. We show that for surface-driven growth the clone-size distribution takes a characteristic power-law form with an exponent determined by fluctuations of the tissue surface. Our results allow for the inference of the mode of tissue growth from genetic tracing experiments.
Project UIDB/00618/2020 https://doi.org/10.54499/UIDB/00618/2020