Cell Proliferation Kinetics and Branching Stochastic Processes


  • Ollivier Hyrien University of Rochester
  • Kosto Mitov Aviation Faculty - NMU
  • Nikolay Yanev* Institute of Mathematics and Informatics, Bulgarian Academy of Sciences




The main purpose of this work is to present some new ideas and results
obtained in modeling of cell proliferation kinetics.\ Recent advances in
experimental techniques of flow cytometry have made it possible to collect a
wealth of information about the status of individual cells isolated from
dissociated tissues. When one is interested in modeling tissue development
starting from the earliest embryonic stages it is reasonable to begin with\ $%
0$ cells because these cells appear only in the course of embryogenesis. New
type cells (immigrants) of age zero arrive in the population of cells in
accordance with a non-homogeneous Poisson process with arrival rate $r(t)$.
Upon arrival, these immigrants are assumed to be of age zero. Upon
completion of its lifespan, every cell either divides into two new cells, or
it goes out of the process of proliferation (differentiation or death).
These two events occur with probability $p$ and $q=1-p$, respectively. The
time to division or differentiation of any cell is described by a
non-negative random variable $\tau $ with c.d.f. $G(x)=\mathbf{P}\{\eta \leq
x\}$. Cells are assumed to evolve independently of each other. Motivated by
the above example, we investigate properties of a class of Markov branching
processes with non-homogeneous Poisson immigration. We consider a more
general process than the one presented above so that the scope of our work
does not remain limited to the study of oligodendrocyte generation. Limiting
distributions are obtained in the supercritical case and among them an
analogue of the LLN and of the CLT.






Conference Contributions