A Computational Model of YAP/TAZ Mechanosensing.

Area of Science:

• Cell Biology
• Biophysics
• Computational Biology

Background:

• YAP/TAZ is a key signaling nexus integrating mechanical and biochemical cues, influencing cell fate in physiological and disease systems.
• Understanding YAP/TAZ mechanosensing is limited by the unknown interaction between the Hippo pathway and cell tension.
• The multiscale relationship between adhesion signaling, cytoskeleton dynamics, and YAP/TAZ activity is poorly understood.

Purpose of the Study:

• To develop a novel computational model of the YAP/TAZ signaling pathway to understand mechanical signal transduction.
• To identify key signaling molecules involved in YAP/TAZ mechanosensing and their roles in cell fate determination.
• To explore the integration of extracellular matrix (ECM) mechanical properties with intracellular signaling cascades.

Main Methods:

• Developed a computational model converting ECM mechanical properties to biochemical signals via adhesion.
• Integrated intracellular signaling cascades associated with cytoskeleton dynamics into the model.
• Performed molecular perturbations and sensitivity analyses to predict YAP/TAZ activity responses.

Main Results:

• FAK and other adhesion molecules can rescue YAP/TAZ activity in soft environments through the RhoA pathway.
• Changes in molecule concentrations alter YAP/TAZ stiffness response patterns.
• The model explains the synergistic effect of YAP/TAZ activity between mechanosensing and Hippo pathways via LIM-kinase and LATS interactions.

Conclusions:

• The novel computational platform provides fundamental insights into YAP/TAZ regulation by integrating diverse signaling pathways.
• This model can advance understanding of key molecular and mechanical regulators in development, tissue engineering, and tumor progression.
• It offers a tool to study how YAP/TAZ activity is modulated by mechanical cues and intracellular signaling.