Modeling phase separation of biomolecular condensates with data-driven mass-conserving reaction-diffusion systems

Area of Science:

• Biophysics
• Cell Biology
• Systems Biology

Background:

• Phase separation is crucial for cellular processes and ecological resilience.
• Mass-conserving reaction-diffusion (MCRD) models offer a framework for understanding phase separation dynamics.
• Previous research established only phenomenological links between MCRD models and experimental phase separation.

Purpose of the Study:

• To establish a direct, quantitative bridge between experimental phase separation and MCRD models.
• To validate the MCRD model's ability to quantitatively reproduce phase separation dynamics.
• To introduce a novel experimental system for studying phase separation.

Main Methods:

• Identification and characterization of a DNA-protein interactive co-condensate (DPIC) system.
• Direct, independent measurement of all MCRD model parameters within the DPIC system.
• Quantitative comparison of experimental DPIC dynamics with MCRD model predictions.

Main Results:

• The DPIC system serves as an ideal experimental model for quantitatively linking theory and experiment.
• The MCRD model accurately reproduces the underlying dynamics of DPIC phase separation.
• The study moves beyond phenomenological analogies to provide quantitative validation.

Conclusions:

• The DPIC system provides a powerful platform for the quantitative study of phase separation.
• MCRD models, when parameterized with directly measured values, can quantitatively capture experimental phase separation dynamics.
• This work strengthens the theoretical and experimental understanding of pattern formation in biological systems.