Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2011-07-05
Biology
Quantitative Biology
Quantitative Methods
14 pages, 4 figures, will be presented at the IFAC world congress 2011
Scientific paper
Mathematical models of stem cell differentiation are commonly based upon the concept of subsequent cell fate decisions, each controlled by a gene regulatory network. These networks exhibit a multistable behavior and cause the system to switch between qualitatively distinct stable steady states. However, the network structure of such a switching module is often uncertain, and there is lack of knowledge about the exact reaction kinetics. In this paper, we therefore perform an elementary study of small networks consisting of three interacting transcriptional regulators responsible for cell differentiation: We investigate which network structures can reproduce a certain multistable behavior, and how robustly this behavior is realized by each network. In order to approach these questions, we use a modeling framework which only uses qualitative information about the network, yet allows model discrimination as well as to evaluate the robustness of the desired multistability properties. We reveal structural network properties which are necessary and sufficient to realize distinct steady state patterns required for cell differentiation. Our results also show that structural and robustness properties of the networks are related to each other.
Allgower Frank
Breindl Christian
Schittler Daniella
Waldherr Steffen
No associations
LandOfFree
Structural requirements and discrimination of cell differentiation networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Structural requirements and discrimination of cell differentiation networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Structural requirements and discrimination of cell differentiation networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-477511