Einladung zum Vortrag im Kolloquium Technische Kybernetik

  A unified framework for modeling and analysis
of proliferating cell populations

Dipl.-Ing. Jan Hasenauer
Institut für Systemtheorie und Regelungstechnik
Universität Stuttgart

Tuesday, 15. November 2011, 4:00 p.m.
IST-Seminar-Room 3.243 - Pfaffenwaldring 9 - Campus Stuttgart-Vaihingen

Abstract

Cell proliferation plays an essential role in most biological processes. Therefore, a multitude of mathematical models has been developed to describe proliferation processes, covering the intracellular signal transduction as well as the population balance.
We present a unifying modeling and computational framework for proliferating cell populations. The proposed model incorporates a discrete age structure as well as continuous label dynamics. Therefore, division number dependent parameters can be considered and model predictions can directly be compared to labeling experiments, e.g., with Carboxyfluorescein succinimidyl ester (CFSE). While the resulting system of coupled partial differential equations (PDEs) is highly complex, we prove that it can be decomposed into a system of ordinary differential equations and a set of decoupled PDEs. This reduces the computational effort tremendously and allows for advanced parameter estimation procedures.
The unified modeling approach in combination with the analytical and numerical treatment provides several advantages compared to existing approaches. These advantages are illustrated by studying the proliferation dynamics of T lymphocytes.

Biographical Information

Jan Hasenauer studied Engineering Cybernetics at the University of Stuttgart, Germany, and at the University of Madison, Wisconsin, USA. After receiving this Diploma degree, he joined the Systems Biology group of the Institute for Systems Theory and Automatic Control. Since then he has been working on several research projects related to parameter identification, uncertainty analysis and modeling of heterogeneous cell populations. During his PhD he received different awards, among others the "Best Student Paper Award" at the Workshop for Computational Systems Biology (WCSB 2011), Zurich, Switzerland, earlier this year.