AbstractA kinetic model of a molecular control system for the cellular decision to proliferate or differentiate is formulated and analyzed for the purpose of understanding how the system can break down in cancer cells. The proposed core of this control system is composed of the transcription factors Myc and p53. The network of interactions between these factors involves negative and positive feedback loops that are linked to pathways involved in differentiation, cell cycle, and apoptosis. Understanding the dynamics of the Myc-p53 control system is aided by the postulate that there exists a cancer zone defined as a range of oncogenic Myc activities where the probability of initiating cancer is high. We propose that an essential role of p53 i...
Cells defence against stresses that can cause DNA damage (single-strand breaks, double-strand breaks...
Chemotherapy is commonly used in cancer treatments, however only 25 % of cancers are responsive and ...
A new approach to the modular, complex systems analysis of nonlinear dynamics of arrested neural cel...
AbstractA kinetic model of a molecular control system for the cellular decision to proliferate or di...
Abstract Experimental work and theoretical models deduce a "digital" response of the ...
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network...
The p53 protein is well-known for its tumour suppressor function. The p53-MDM2 negative feedback loo...
We utilized the framework of mathematical modeling to gain insights into two distinct biological sys...
A cell has to react to a multitude of different extrinsic and intrinsic stress signals on a daily ba...
<div><p>The p53 transcription factor is a regulator of key cellular processes including DNA repair, ...
International audienceThe protein p53 as a tumour suppressor protein accumulates in cells in respons...
AbstractThe tumor suppressor protein, p53, and the oncoprotein, Akt, are involved in a cross talk th...
International audienceVarious molecular pharmacokinetic-pharmacodynamic (PK-PD) models have been pro...
The tumor suppressor, p53, regulates several gene expressions that are related to the DNA repair pro...
Cellular stress-induced temporal alterations?i.e., dynamics?are typically exemplified by the dynamic...
Cells defence against stresses that can cause DNA damage (single-strand breaks, double-strand breaks...
Chemotherapy is commonly used in cancer treatments, however only 25 % of cancers are responsive and ...
A new approach to the modular, complex systems analysis of nonlinear dynamics of arrested neural cel...
AbstractA kinetic model of a molecular control system for the cellular decision to proliferate or di...
Abstract Experimental work and theoretical models deduce a "digital" response of the ...
In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network...
The p53 protein is well-known for its tumour suppressor function. The p53-MDM2 negative feedback loo...
We utilized the framework of mathematical modeling to gain insights into two distinct biological sys...
A cell has to react to a multitude of different extrinsic and intrinsic stress signals on a daily ba...
<div><p>The p53 transcription factor is a regulator of key cellular processes including DNA repair, ...
International audienceThe protein p53 as a tumour suppressor protein accumulates in cells in respons...
AbstractThe tumor suppressor protein, p53, and the oncoprotein, Akt, are involved in a cross talk th...
International audienceVarious molecular pharmacokinetic-pharmacodynamic (PK-PD) models have been pro...
The tumor suppressor, p53, regulates several gene expressions that are related to the DNA repair pro...
Cellular stress-induced temporal alterations?i.e., dynamics?are typically exemplified by the dynamic...
Cells defence against stresses that can cause DNA damage (single-strand breaks, double-strand breaks...
Chemotherapy is commonly used in cancer treatments, however only 25 % of cancers are responsive and ...
A new approach to the modular, complex systems analysis of nonlinear dynamics of arrested neural cel...