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T Cell Activation and Clonal Selection

T Cell Activation and Clonal Selection

T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
Naive T cells that have not yet encountered an antigen express two primary CD...

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Related Experiment Video

Updated: Apr 30, 2026

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

Highly Resolved Intravital Striped-illumination Microscopy of Germinal Centers

Published on: April 9, 2014

Inference of germinal center evolutionary dynamics via simulation-based deep learning.

Duncan K Ralph¹, Athanasios G Bakis², Jared G Galloway¹

¹Fred Hutchinson Cancer Research Center, Seattle, United States.

|April 28, 2026

Summary

This summary is machine-generated.

Researchers uncovered the precise relationship between B cell antibody affinity and reproduction, known as the affinity-fitness response function. This breakthrough advances our understanding of immune system evolution and antibody development.

Keywords:

B cells antibodies evolution evolutionary biology fitness germinal centers mouse

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Last Updated: Apr 30, 2026

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Published on: March 3, 2023

Area of Science:

Immunology
Evolutionary Biology
Computational Biology

Background:

B cells and their antibodies are crucial for health and survival.
Germinal centers (GCs) are sites of B cell maturation, involving mutation and evolution.
A positive correlation between B cell affinity and reproduction is known but not precisely defined.

Purpose of the Study:

To determine the exact form of the 'affinity-fitness response function' in B cells.
To understand the relationship between antibody affinity and B cell proliferation within germinal centers.

Main Methods:

Utilized deep learning techniques for data analysis.
Employed simulation-based inference to model the affinity-fitness relationship.
Conducted unique experiments replaying specific germinal center conditions in mice.

Main Results:

Successfully learned the affinity-fitness response function.
Quantified the relationship between B cell antigen affinity and reproductive success.
Provided a computational model for germinal center dynamics.

Conclusions:

The study precisely defines the affinity-fitness response function for B cells.
This work enhances understanding of immune system evolutionary processes.
The developed methods and open-source code facilitate further research in B cell biology.