Systematic reverse engineering of network topologies: a case study of resettable bistable cellular responses

Area of Science:

• Systems biology
• Computational biology
• Network science

Background:

• Understanding biological network design principles is crucial for systems biology.
• Previous reverse engineering methods often involve enumerating individual network topologies.
• Identifying how network structures generate specific system properties remains a challenge.

Purpose of the Study:

• To test and validate the continuous parameter space search (CPSS) method for reverse engineering biological networks.
• To identify network topologies responsible for resettable bistability in the Rb-E2F gene network.
• To demonstrate the effectiveness and cross-validation of the CPSS approach against traditional methods.

Main Methods:

• Developed and applied a continuous parameter space search (CPSS) method.
• Searched the continuous parameter space of network topologies without enumerating each one.
• Tested the CPSS method on the Rb-E2F gene network regulating mammalian cell quiescence-to-proliferation transition.

Main Results:

• Identified network topologies responsible for generating resettable bistability in the Rb-E2F gene network.
• CPSS-identified topologies were consistent with those found using individual topology search (ITS).
• Demonstrated the effectiveness of CPSS and provided cross-validation for both CPSS and ITS approaches.

Conclusions:

• The CPSS method is an effective and validated approach for reverse engineering biological networks.
• CPSS offers a unique advantage for analyzing large biological networks.
• A computer package is available to facilitate the application of the CPSS approach to other biological systems.