Intrinsic noise analysis and stochastic simulation on transforming growth factor beta signal pathway
Creators
- 1. The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing 100871 (China)
Description
A typical biological cell lives in a small volume at room temperature; the noise effect on the cell signal transduction pathway may play an important role in its dynamics. Here, using the transforming growth factor-β signal transduction pathway as an example, we report our stochastic simulations of the dynamics of the pathway and introduce a linear noise approximation method to calculate the transient intrinsic noise of pathway components. We compare the numerical solutions of the linear noise approximation with the statistic results of chemical Langevin equations, and find that they are quantitatively in agreement with the other. When transforming growth factor-β dose decreases to a low level, the time evolution of noise fluctuation of nuclear Smad2—Smad4 complex indicates the abnormal enhancement in the transient signal activation process. (cross-disciplinary physics and related areas of science and technology)
Availability note (English)
Available from http://dx.doi.org/10.1088/1674-1056/19/10/108202Additional details
Identifiers
Publishing Information
- Journal Title
- Chinese Physics. B
- Journal Volume
- 19
- Journal Issue
- 10
- Journal Page Range
- [7 p.]
- ISSN
- 1674-1056
INIS
- Country of Publication
- China
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 45006917
- Subject category
- S60: APPLIED LIFE SCIENCES;
- Descriptors DEI
- ANIMAL CELLS; APPROXIMATIONS; BIOCHEMISTRY; BIOLOGICAL PATHWAYS; BIOLOGY; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; FLUCTUATIONS; GROWTH FACTORS; LANGEVIN EQUATION; NOISE; NUMERICAL SOLUTION; SIGNALS; STOCHASTIC PROCESSES; TEMPERATURE RANGE 0273-0400 K; TRANSIENTS
- Descriptors DEC
- CALCULATION METHODS; CHEMISTRY; EQUATIONS; EVALUATION; MATHEMATICAL SOLUTIONS; MITOGENS; ORGANIC COMPOUNDS; PROTEINS; SIMULATION; TEMPERATURE RANGE; VARIATIONS