Estimates and impact of lymphocyte division parameters from CFSE data using mathematical modelling

Area of Science:

• Immunology
• Computational Biology
• Cell Biology

Background:

• Carboxyfluorescein diacetate succinimidyl ester (CFSE) labeling is a standard method for tracking cell proliferation.
• Understanding immune cell proliferation kinetics is crucial for immunology and disease research.

Purpose of the Study:

• To develop a mathematical model for describing immune cell proliferation kinetics after in vitro polyclonal stimulation using CFSE labeling.
• To estimate key proliferation and cell death parameters and compare the dynamics of CD4+ and CD8+ T cells.

Main Methods:

• Development of a three-phase mathematical model (latency, resting, active division) to describe cell proliferation.
• Utilizing CFSE labeling to track in vitro polyclonal immune cell stimulation.
• Performing numerical simulations and sensitivity analysis to validate the model and assess parameter impact.

Main Results:

• The model successfully estimates proliferation and cell death parameters.
• Distinct kinetic differences between CD4+ and CD8+ T cell proliferation were identified.
• Parameter sensitivity analysis revealed time- and generation-dependent variations.

Conclusions:

• The developed mathematical model provides a robust framework for analyzing immune cell proliferation dynamics.
• The findings offer insights into the mechanisms of cell division and can aid in identifying pathological proliferation processes.
• This approach facilitates comparative analysis of immune cell subsets and parameter importance in proliferation.