The behaviour of basic autocatalytic signalling modules in isolation and embedded in networks

Area of Science:

• Biochemistry
• Systems Biology
• Chemical Kinetics

Background:

• Autocatalytic feedback modules, where a species catalyzes its own production, are fundamental in biological and chemical systems.
• Understanding their behavior in isolation and within complex networks is crucial for deciphering cellular processes and chemical reactions.

Purpose of the Study:

• To systematically investigate the behavior of autocatalytic feedback modules.
• To analyze how network context influences module dynamics, including threshold and bistable behaviors.
• To compare deterministic and stochastic dynamics of these modules within various network structures.

Main Methods:

• Isolated analysis of autocatalytic feedback modules.
• Embedding modules in diverse network architectures (cycles, chains, feedback networks).
• Deterministic and stochastic simulations, analytical work, and bifurcation analysis.

Main Results:

• Significant differences observed between isolated and networked module behavior.
• Network topology and module position can unexpectedly alter or induce thresholds and bistability.
• Deterministic and stochastic dynamics can diverge significantly within networks, influenced by the ambient network.

Conclusions:

• Network context profoundly impacts autocatalytic module function, deviating from isolated behavior.
• Topological and positional effects within networks are critical and often counterintuitive.
• Stochasticity introduces further complexity, highlighting the importance of considering both deterministic and stochastic dynamics in network analysis.