A scenario-based approach to modeling development: a prototype model of C. elegans vulval fate specification

Area of Science:

• Developmental Biology
• Computational Biology
• Systems Biology

Background:

• Diagrammatic models are crucial in developmental biology but struggle to capture dynamic behaviors.
• Increasing complexity in developmental understanding requires advanced modeling techniques.

Purpose of the Study:

• To present a prototype computational model for Caenorhabditis elegans vulval precursor cell fate specification.
• To demonstrate a methodology for integrating complex developmental mechanisms into a dynamic model.
• To validate the model's ability to test consistency between experimental data and hypotheses.

Main Methods:

• Developed a prototype computational model using Live Sequence Charts and the Play-Engine.
• Integrated data from three seminal papers on vulval development.
• Utilized the model to probe developmental mechanisms and identify inconsistencies.

Main Results:

• The model successfully represents crucial, yet hard-to-integrate, processes in vulval cell fate specification.
• Demonstrated the methodology's capability to create comprehensive developmental biology models.
• Showcased the model's utility in rigorously testing mechanistic hypotheses against experimental data.

Conclusions:

• This computational modeling approach facilitates the integration of complex biological information.
• The methodology allows for rigorous testing of developmental hypotheses and identification of conflicting results.
• The developed tool provides a powerful new way to probe and understand developmental systems.