Related Experiment Video
Updated: Jul 7, 2026

Morphology-Based Distinction Between Healthy and Pathological Cells Utilizing Fourier Transforms and Self-Organizing Maps
Published on: October 28, 2018
Diversity emergence and dynamics during primary immune response: a shape space, physical space model
1School of Computing, Dublin City University, Dublin 9, Ireland, jburns@computing.dcu.ie.
This study models how T-cell receptor diversity and pathogen genetics influence immune system efficiency. Broad T-cell receptor activation, not just activity, indicates successful viral clearance and reduced cytotoxic lymphocyte levels.
Area of Science:
- Immunology
- Computational Biology
- Systems Biology
Background:
- T-cell receptor (TCR) diversity and pathogen genetic variation are key factors in immune response.
- Immune system states can be efficient or inefficient, impacting disease outcomes.
- Local immune dynamics influence system-wide states, particularly during primary immune responses.
Purpose of the Study:
- To present a computational model of T-cell receptor and MHC:peptide complex dynamics.
- To investigate how T-cell receptor cross-reactivity and pathogen genetic variation shape immune system states.
- To understand the relationship between local and system-wide immune dynamics and infection outcomes.
Main Methods:
- Development of a computational model combining shape space and physical space concepts.
- Simulation of immune system evolution under varying conditions of T-cell receptor cross-reactivity and pathogen genetics.
- Analysis of system-wide and local immune dynamics, including lymphatic system responses.
Main Results:
- Demonstrated that immune system efficiency is influenced by T-cell receptor cross-reactivity and pathogen genetic variation.
- Showed that localized immune dynamics significantly determine system-wide immune states.
- Modeled the emergence of highly variable clinical outcomes from similar initial infection conditions.
- Found that immune cell activity alone is not a reliable indicator of infection suppression.
Conclusions:
- Successful viral clearance is characterized by broad T-cell receptor activation in shape space.
- Effective viral clearance results in low average concentrations of activated cytotoxic lymphocyte cells.
- The model provides insights into the complex interplay of factors determining immune system effectiveness.
Related Concept Videos
Diversity of Antigen Receptors
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
Cells of the Adaptive Immune Response
B Cell Activation and Differentiation
When naive B cells encounter a specific antigen that can bind to the B cell receptor (BCR) on their surface, they undergo sensitization to respond to the antigen's presence. Sensitization begins with...
Diversity in Cell Signaling Responses
Graded and Abrupt Responses
Some signaling systems generate...
Special Features of Adaptive Immunity
The primary cell types involved in adaptive immunity are T cells and B cells. Each type has a unique role in defending the body against pathogens. T cells are responsible for cell-mediated immunity. They identify and eliminate infected cells directly,...
Development of Immunocompetence
The initial cells that migrate from the fetal thymus settle within the skin and epithelial tissues lining the mouth, digestive tract, and in females, the uterus and vagina. These cells, including skin-based dendritic cells, serve as antigen-presenting cells, playing a key role in T cell activation.
Subsequent T...

