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

Front Immunol. 2025 Feb 17:16:1488851. doi: 10.3389/fimmu.2025.1488851. eCollection 2025.

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.

Keywords: COVID-19; SARS-CoV-2; T cell; TCR repertoire; cellular immunity; immune response.

MeSH terms

  • COVID-19* / immunology
  • Databases, Genetic
  • Humans
  • Receptors, Antigen, T-Cell, alpha-beta* / genetics
  • Receptors, Antigen, T-Cell, alpha-beta* / immunology
  • Receptors, Antigen, T-Cell, alpha-beta* / metabolism
  • SARS-CoV-2* / immunology

Substances

  • Receptors, Antigen, T-Cell, alpha-beta

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The ISB INCOV study supported by Dept. of Health and Human Services, Office of the Assistant Secretary for Preparedness and Response, Biomedical Advanced Research and Development Authority, under Contract No. HHSO100201600031C. L. D. Notarangelo is supported by the Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health. Sample collection in Brescia and Pavia was supported by Regione Lombardia, Italy. Sample collections from i+12/CNIO were supported by CRIS foundation.