Decision Making in Biological Systems
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
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Decision Making in Biological Systems. / Tian, Chengzhe.
The Niels Bohr Institute, Faculty of Science, University of Copenhagen, 2017. 188 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
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TY - BOOK
T1 - Decision Making in Biological Systems
AU - Tian, Chengzhe
PY - 2017
Y1 - 2017
N2 - This thesis consists of five projects in three topics with a shared theme of understanding cellulardecision-making processes with mathematical modeling. In the first topic, we address thepossible interaction between bacterial Toxin-Antitoxin (TA) systems and stringent responsealarmone guanosine tetra- and pentaphosphate [(p)ppGpp] and examine how this interactioncontributes to bacterial persistence. We show that TA systems mediate a negative feedback toearly stringent response by reducing the available mRNA. We also show that the redundancyof TA systems can be realized if bacterial growth-dormancy transition is primarily mediatedby (p)ppGpp fluctuation.In the second topic, we discuss the transition paths between two stable steady states. Weconstruct a simple model of coupled bistable gene circuits and demonstrate the possibilityof bifurcation of transition path in biology. We then construct a theory to predict whether ageneral coupled bistable system exhibits bifurcated path or not and verify the theory throughnumerical simulation. We also show that a primary function of bifurcated paths is to facilitatetransition by lowering the associated action.In the third topic, we discuss the function of extrinsic noises in digital signaling usingmammalian NF-kB pathway. We show that when cells are stimulated by one ligand, digitalsignaling allows one to independently control the fraction of responding cells (population-levelresponse) and temporal profiles of NF-kB activity (individual-level response). We also showthat under co-stimulation of two ligands, cells respond to only one input rather than both.We term this behavior "non-integrative processing" and we propose a possible mechanism byintroducing an ultrasensitive negative feedback, allowing cells to block signaling pathwaysupon activation by one ligand.
AB - This thesis consists of five projects in three topics with a shared theme of understanding cellulardecision-making processes with mathematical modeling. In the first topic, we address thepossible interaction between bacterial Toxin-Antitoxin (TA) systems and stringent responsealarmone guanosine tetra- and pentaphosphate [(p)ppGpp] and examine how this interactioncontributes to bacterial persistence. We show that TA systems mediate a negative feedback toearly stringent response by reducing the available mRNA. We also show that the redundancyof TA systems can be realized if bacterial growth-dormancy transition is primarily mediatedby (p)ppGpp fluctuation.In the second topic, we discuss the transition paths between two stable steady states. Weconstruct a simple model of coupled bistable gene circuits and demonstrate the possibilityof bifurcation of transition path in biology. We then construct a theory to predict whether ageneral coupled bistable system exhibits bifurcated path or not and verify the theory throughnumerical simulation. We also show that a primary function of bifurcated paths is to facilitatetransition by lowering the associated action.In the third topic, we discuss the function of extrinsic noises in digital signaling usingmammalian NF-kB pathway. We show that when cells are stimulated by one ligand, digitalsignaling allows one to independently control the fraction of responding cells (population-levelresponse) and temporal profiles of NF-kB activity (individual-level response). We also showthat under co-stimulation of two ligands, cells respond to only one input rather than both.We term this behavior "non-integrative processing" and we propose a possible mechanism byintroducing an ultrasensitive negative feedback, allowing cells to block signaling pathwaysupon activation by one ligand.
UR - https://soeg.kb.dk/permalink/45KBDK_KGL/fbp0ps/alma99122540122005763
M3 - Ph.D. thesis
BT - Decision Making in Biological Systems
PB - The Niels Bohr Institute, Faculty of Science, University of Copenhagen
ER -
ID: 191912335