Optimality of mutation and selection in germinal centers
Jingshan Zhang, Eugene I. Shakhnovich

TL;DR
This paper presents a coarse-grained model of B cell dynamics in germinal centers, identifying optimal mutation and selection parameters that align with experimental affinity maturation observations, highlighting evolutionary optimization.
Contribution
The study introduces a new model that resolves previous conflicts with experiments and analyzes parameter space to find optimal mutation and selection conditions for affinity maturation.
Findings
Optimal mutation rate balances beneficial and deleterious mutations.
Selection strength balances affinity improvement and population bottleneck.
B cell migration enhances affinity maturation.
Abstract
The population dynamics theory of B cells in a typical germinal center could play an important role in revealing how affinity maturation is achieved. However, the existing models encountered some conflicts with experiments. To resolve these conflicts, we present a coarse-grained model to calculate the B cell population development in affinity maturation, which allows a comprehensive analysis of its parameter space to look for optimal values of mutation rate, selection strength, and initial antibody-antigen binding level that maximize the affinity improvement. With these optimized parameters, the model is compatible with the experimental observations such as the ~100-fold affinity improvements, the number of mutations, the hypermutation rate, and the "all or none" phenomenon. Moreover, we study the reasons behind the optimal parameters. The optimal mutation rate, in agreement with the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
