Preprint Publication 🔬
📅 July 23, 2025
📄 bioRxiv
�� DOI: https://doi.org/10.1101/2025.07.23.666409
👥 Tianyu Wu, Marie-Christin Spindler, Emmy Earnest, Henry Li, Zane R. Thornburg, Julia Mahamid, Zaida Luthey-Schulten
We are excited to announce the publication of our preprint on “Spatial Heterogeneity Alters the Dynamics of the Yeast Galactose Switch: Insights from 4D RDME–ODE Hybrid Simulations” on bioRxiv. This work represents a significant advancement in whole-cell modeling of eukaryotic systems.
Key Innovations:
- First 4D simulations of the galactose switch in Saccharomyces cerevisiae
- Hybrid framework integrating reaction-diffusion master equations (RDMEs) with ordinary differential equations (ODEs)
- GPU-based Lattice Microbes platform enabling realistic whole-cell simulations
- Cryo-electron tomogram (cryo-ET) derived cell geometry for unprecedented spatial accuracy
Major Findings:
- 11 mM extracellular galactose triggers expression of 10,000-15,000 galactose transporters within 60 minutes
- Spatial differentiation between cytosolic and ER-associated ribosomes enables realistic protein translation modeling
- Multi-GPU performance benchmarking across various spatial decompositions
- Cellular geography significantly impacts genetic information processing and protein production
Technical Highlights:
- Stochastic simulation of genetic information processes
- Deterministic modeling of simplified metabolism
- Explicit tracking of membrane-targeted proteins like galactose transporter Gal2
- Quantification of ER maze-like structure effects on protein delivery
This work demonstrates the feasibility of whole-cell modeling in eukaryotic systems and reveals how spatial heterogeneity fundamentally alters cellular decision-making processes. Our framework paves the way for more complex organism simulations and provides insights into the critical role of cellular architecture in genetic regulation.
🔬 Read the full preprint on bioRxiv