Dresden 2017 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 21: Statistical Physics in Biological Systems (joint session DY/ BP/CPP)
DY 21.8: Vortrag
Dienstag, 21. März 2017, 15:45–16:00, ZEU 118
Effect of slow-switching genetic states in gene regulatory network governing stem cell pluripotency — •Yen Ting Lin1, Peter Hufton2, Esther Lee3, and Davit Potoyan4 — 1T-6 and CNLS, Los Alamos National Laboratory, USA — 2School of Physics and Astronomy, The University of Manchester, UK — 3Department of Bioengineering, Rice University, USA — 4Center for Theoretical Biological Physics, Rice University, USA
Construction of the gene regulatory network (GRN) from experimental data requires a post-experimental analysis which established the pairwise correlations between the measured dynamical quantities. Then as a coarse description, each gene controls and/or is controlled by another gene(s), forming a network (GRN). Form another perspective of a single gene, the expression mechanism is encapsulated by the central dogma: the mRNA transcribes the sequence, and then the mRNA left the chromatin and synthesize proteins.
We present a detailed model combining these two approaches. Utilizing an analytic approximation we previously proposed, we show that the computational efficiency is dramatically increased on a GRN governing stem-cell differentiation. At different switching rates between the genetic states we inferred a unique parameter space which reproduces experimental results. Moreover, we found a unique space for the switching rates reproducing features from single-molecule experiments. Interestingly, the information entropy was maximized in this space. We argue that the consequence may be utilized to cell differentiations as an maximal information is encoded in the dynamics.