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Cross-reactivity

Cross-reactivity

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Related Experiment Video

Updated: Oct 18, 2025

A Method to Assess Fc-mediated Effector Functions Induced by Influenza Hemagglutinin Specific Antibodies

A Method to Assess Fc-mediated Effector Functions Induced by Influenza Hemagglutinin Specific Antibodies

Published on: February 23, 2018

Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses.

Jessica Ann Gaevert^1,2, Daniel Luque Duque³, Grant Lythe³

¹Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

|September 28, 2021

Summary

This summary is machine-generated.

Viral cross-reactivity, where T cells recognize similar epitopes, can boost immunity. This pre-existing immunity is crucial for adaptive immune responses to influenza and coronaviruses.

Keywords:

bipartite network competition process cross-reactivity heterologous infection mathematical modeling pre-existing immunity

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Last Updated: Oct 18, 2025

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Area of Science:

Immunology
Computational Biology
Virology

Background:

Cross-reactive T cells can provide protection against different viral strains.
Pre-existing immunity is vital for adaptive immune responses to influenza and coronaviruses.
T cell recognition patterns can be modeled using bipartite networks.

Purpose of the Study:

To model T cell cross-reactivity using bipartite networks.
To explore the dynamics of T cell repertoires during infection and re-infection.
To quantify T cell cross-reactivity based on epitope similarity.

Main Methods:

Constructing bipartite networks to represent T cell epitope recognition.
Analyzing T cell repertoire dynamics under various conditions (homeostasis, infection, re-infection).
Introducing a circular epitope space to measure cross-reactivity quantitatively.

Main Results:

Bipartite networks can effectively model T cell cross-reactivity.
Structural similarity of epitopes drives cross-reactivity, alongside chance occurrences.
T cell cross-reactivity is a quantitative measure of epitope overlap within the defined space.

Conclusions:

T cell cross-reactivity is a significant factor in adaptive immunity against viruses like influenza and coronaviruses.
Bipartite network modeling provides a framework for understanding T cell repertoire dynamics.
Quantifying epitope overlap enhances our understanding of cross-protective immune responses.