Interplay between stochasticity and negative feedback leads to pulsed dynamics and distinct gene activity patterns

Area of Science:

• Biochemistry
• Systems Biology
• Computational Biology

Background:

• Gene expression is a stochastic process influenced by regulatory network structure.
• Negative feedback loops are common in biochemical regulatory networks.

Purpose of the Study:

• To investigate the dynamical consequences of stochastic gene switching within negative feedback loops.
• To understand how stochasticity impacts gene expression dynamics and observed time distributions.

Main Methods:

• A simplified hybrid simulation approach was used.
• Gene activation was modeled stochastically, while other processes were deterministic.
• Analytical insights into pulse origins were derived.

Main Results:

• Stochasticity in gene switching alone can induce pulses.
• The model reproduces both exponential and peaked distributions of gene active/inactive times.
• These patterns are consistent with experimental observations.

Conclusions:

• Stochastic gene switching is a key driver of dynamic behaviors in regulatory networks.
• The simplified model provides a framework for linking network dynamics to gene state durations.
• This approach aids in understanding the origins of observed gene expression patterns.