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In Vitro Differentiation Model of Human Normal Memory B Cells to Long-lived Plasma Cells

In Vitro Differentiation Model of Human Normal Memory B Cells to Long-lived Plasma Cells

Published on: January 20, 2019

Predicting plasma cell retention and loss over a lifetime.

Marcus J Robinson¹, David M Tarlinton¹

¹Department of Immunology, Monash University, Level 6 Burnet Tower, 89 Commercial Road, Prahran, VIC 3004, Australia.

|March 13, 2024

Summary

Plasma cells (PCs) need external cues to survive, limiting their numbers. A new mathematical model explains PC retention, predicting lifespan structure and how new specificities are added to a full system.

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Published on: December 14, 2016

Area of Science:

Immunology
Mathematical Biology
Systems Biology

Background:

Plasma cells (PCs) are crucial for long-term immunity but rely on external survival signals, creating a bottleneck for pool expansion.
The mechanism for incorporating new antigen specificities into a seemingly saturated PC pool remains unclear.

Purpose of the Study:

To propose a mathematical framework explaining plasma cell (PC) retention within the immune system.
To provide testable predictions regarding PC lifespan structure and pool dynamics.

Main Methods:

Development of a novel mathematical model for PC population dynamics.
Testing model predictions against experimental data on PC accrual and displaceability.
Analysis of lifespan stratification based on antigen specificity.

Main Results:

The proposed framework successfully explains PC retention in a saturated system.
The model generates testable predictions for steady-state lifespan structure.
The framework accounts for how lifespan is stratified according to specificity.

Conclusions:

A mathematical approach can elucidate the dynamics of plasma cell persistence and pool regulation.
Understanding PC retention mechanisms is key to optimizing long-term humoral immunity.
The model offers insights into how the immune system balances existing memory with the need for new responses.