Related Experiment Video
Updated: Jun 10, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
Published on: February 26, 2014
Bridging time scales in cellular decision making with a stochastic bistable switch
Steffen Waldherr1, Jingbo Wu, Frank Allgöwer
1Institute for Systems Theory and Automatic Control, Universität Stuttgart, Pfaffenwaldring 9, Stuttgart, Germany. waldherr@ist.uni-stuttgart.de
Cellular decisions over decades can be reliably made using stochastic bistable switches. This mechanism, modeled using ovarian follicle growth, explains long physiological time scales from gene networks.
Area of Science:
- Biochemistry
- Systems Biology
- Cell Biology
Background:
- Cellular transformations rely on bistable biochemical switches for state changes.
- Some cellular decisions occur over organismal lifespans.
Purpose of the Study:
- To link long-term cellular decisions (years/decades) with short-term biochemical dynamics (minutes/hours).
- To propose a stochastic bistable switch as a mechanism for long-timescale cellular decision-making.
- To model ovarian follicle growth initiation as a case study.
Main Methods:
- Developed a mathematical model based on experimental genetic evidence.
- Applied the stochastic bistable switch mechanism to ovarian follicle dynamics.
- Analyzed the emergence of long physiological time constants from gene regulatory networks.
Main Results:
- A stochastic bistable switch can implement reliable decision processes in large cell populations.
- The model explains how long physiological time scales arise from intrinsic gene regulatory network stochasticity.
- The mechanism is viable for linking short-term biochemical events to long-term cellular outcomes.
Conclusions:
- The proposed stochastic bistable switch mechanism offers reliable cellular decision-making over extended periods.
- This model provides insights into the emergence of lifespan-scale physiological processes from molecular dynamics.
- The mechanism has potential applications in various physiological systems involving long-term cellular binary decisions.
Related Concept Videos
Diversity in Cell Signaling Responses
Graded and Abrupt Responses
Some signaling systems generate...
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
BIBO stability of continuous and discrete -time systems
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
Switching of BJT
Cut-off Mode ("Off" State): In this state, both the emitter-base and collector-base junctions are reverse-biased. The...
Cells Coordinate Growth and Proliferation
Biological Clocks and Seasonal Responses

