A Multiscale Spatial Modeling Framework for the Germinal Center Response.

Area of Science:

• Immunology
• Computational Biology
• Systems Biology

Background:

• The germinal center reaction (GCR) is crucial for adaptive humoral immunity, generating high-affinity antibodies and memory B cells.
• Understanding the complex spatiotemporal dynamics of B cells within germinal centers (GCs) requires integrating molecular and cellular processes.
• Existing mathematical models often lack a multiscale spatial framework to capture GCR intricacies.

Approach:

• Developed a hybrid stochastic GCR framework using the Cellular Potts Model (CompuCell3D).
• Integrated intracellular molecular networks (NF-κB, FOXO1, MYC, AP4, CXCR4, BLIMP1) simulated with Tellurium.
• Linked molecular signaling (BCR, CD40) to B cell behaviors (migration, proliferation, selection, apoptosis).

Key Points:

• Simulations recapitulate key GC events: B cell population growth, affinity maturation, and clonal dominance.
• The model captures B cell migration between dark and light zones, proliferation, somatic hypermutation, and selection.
• The framework enables investigation of molecular, cellular, and tissue-level responses within the GC.

Conclusions:

• Presents an open-source, customizable, multiscale virtual GC simulation platform.
• Facilitates qualitative and quantitative in silico investigations of GCR mechanisms.
• Offers a novel tool for future research in immunology and related fields.