Infection history and TCR sequence features shape the breadth of TCR cross-reactivity

The T cell receptor (TCR) repertoire enables recognition of a vast array of pathogens, despite containing far fewer unique TCRs than the diversity of encountered epitopes. This potential contradiction is resolved by TCR cross-reactivity, whereby individual TCRs recognize multiple distinct epitopes. However, the features defining broadly cross-reactive TCRs remain poorly understood. Here we systematically analyze TCRs from mice sequentially infected with influenza viruses containing naturally occurring single amino acid variants of the D b NP 366 epitope. We identify 967 unique paired TCR sequences across 18 infection histories and test 22 representative TCRs against 172 epitope variants, yielding 3,784 TCR-epitope interaction measurements. These TCRs exhibit a continuum of cross-reactivity, with infection history influencing both TCR sequence similarity and reactivity profiles. We find specific TCR sequence features associated with broader cross-reactivity, highlighting the interplay between epitope exposure, TCR diversity, and function, and providing insights into CD8 + T cell adaptability, immune memory, and vaccine design.

Authors

Institutions

Publication Details

Journal
Cell Reports
Published
2026-10-24
DOI
https://doi.org/10.1016/j.celrep.2026.118182
Primary Topic
T-cell and B-cell Immunology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Infection history and TCR sequence features shape the breadth of TCR cross-reactivity

Stefan Schattgen, Paul Glyndwr Thomas, Susu Duan, Emma Kaitlynn Allen et al.
Cell Reports
T-cell and B-cell Immunology
article

Infection history and TCR sequence features shape the breadth of TCR cross-reactivity

Stefan Schattgen, Paul Glyndwr Thomas, Susu Duan, Emma Kaitlynn Allen, Walid Awad, Jessica A Gaevert, Anastasia A. Minervina, Allison M. Kirk, Daniel Luque Duque, Lee-Ann Van de Velde, Andrew J. Fiore-Gartland, Jeremy Chase Crawford, Deryn G. St. James, Carmen Molina-Parı́s, Koshlan Mayer-Blackwell, Philip H Bradley, Mikhail V. Pogorelyy, Aisha Hegab Souquette, Nicholas A. Clark, Grant Lythe
article en

Abstract

The T cell receptor (TCR) repertoire enables recognition of a vast array of pathogens, despite containing far fewer unique TCRs than the diversity of encountered epitopes. This potential contradiction is resolved by TCR cross-reactivity, whereby individual TCRs recognize multiple distinct epitopes. However, the features defining broadly cross-reactive TCRs remain poorly understood. Here we systematically analyze TCRs from mice sequentially infected with influenza viruses containing naturally occurring single amino acid variants of the D b NP 366 epitope. We identify 967 unique paired TCR sequences across 18 infection histories and test 22 representative TCRs against 172 epitope variants, yielding 3,784 TCR-epitope interaction measurements. These TCRs exhibit a continuum of cross-reactivity, with infection history influencing both TCR sequence similarity and reactivity profiles. We find specific TCR sequence features associated with broader cross-reactivity, highlighting the interplay between epitope exposure, TCR diversity, and function, and providing insights into CD8 + T cell adaptability, immune memory, and vaccine design.

Cell ReportsVol. 45(11)
University of Maryland, Baltimore (US), University of Leeds (GB), St. Jude Children's Research Hospital (US), Los Alamos National Laboratory (US), University of Tennessee Health Science Center (US), University of Washington (US), Fred Hutch Cancer Center (US), Imperial College London (GB)
Openalex Percentile: Top 20%
T-cell and B-cell Immunology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon