AUTHOR=Nolan Sean , Vignali Marissa , Klinger Mark , Dines Jennifer N. , Kaplan Ian M. , Svejnoha Emily , Craft Tracy , Boland Katie , Pesesky Mitchell W. , Gittelman Rachel M. , Snyder Thomas M. , Gooley Christopher J. , Semprini Simona , Cerchione Claudio , Nicolini Fabio , Mazza Massimiliano , Delmonte Ottavia M. , Dobbs Kerry , Carreño-Tarragona Gonzalo , Barrio Santiago , Sambri Vittorio , Martinelli Giovanni , Goldman Jason D. , Heath James R. , Notarangelo Luigi D. , Martinez-Lopez Joaquin , Howie Bryan , Carlson Jonathan M. , Robins Harlan S. 

TITLE=A large-scale database of T-cell receptor beta sequences and binding associations from natural and synthetic exposure to SARS-CoV-2

JOURNAL=Frontiers in Immunology

VOLUME=Volume 16 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1488851

DOI=10.3389/fimmu.2025.1488851

ISSN=1664-3224

ABSTRACT=We describe the establishment and current content of the ImmuneCODE™ database, which includes hundreds of millions of T-cell Receptor (TCR) sequences from over 1,400 subjects exposed to or infected with the SARS-CoV-2 virus, as well as over 160,000 high-confidence SARS-CoV-2-associated TCRs. This database is made freely available, and the data contained in it can be used to assist with global efforts to understand the immune response to the SARS-CoV-2 virus and develop new interventions.