tetano
Editor, Senior Moderator
Front Immunol
. 2025 Feb 17:16:1488851.
doi: 10.3389/fimmu.2025.1488851. eCollection 2025. A large-scale database of T-cell receptor beta sequences and binding associations from natural and synthetic exposure to SARS-CoV-2
Sean Nolan[SUP] 1 [/SUP], Marissa Vignali[SUP] 1 [/SUP], Mark Klinger[SUP] 1 [/SUP], Jennifer N Dines[SUP] 1 [/SUP], Ian M Kaplan[SUP] 1 [/SUP], Emily Svejnoha[SUP] 1 [/SUP], Tracy Craft[SUP] 1 [/SUP], Katie Boland[SUP] 1 [/SUP], Mitchell W Pesesky[SUP] 1 [/SUP], Rachel M Gittelman[SUP] 1 [/SUP], Thomas M Snyder[SUP] 1 [/SUP], Christopher J Gooley[SUP] 2 [/SUP], Simona Semprini[SUP] 3 [/SUP], Claudio Cerchione[SUP] 4 [/SUP], Fabio Nicolini[SUP] 5 [/SUP], Massimiliano Mazza[SUP] 5 [/SUP], Ottavia M Delmonte[SUP] 6 [/SUP], Kerry Dobbs[SUP] 6 [/SUP], Gonzalo Carreño-Tarragona[SUP] 7 [/SUP], Santiago Barrio[SUP] 7 [/SUP], Vittorio Sambri[SUP] 3 [/SUP], Giovanni Martinelli[SUP] 4 [/SUP], Jason D Goldman[SUP] 8 9 [/SUP], James R Heath[SUP] 10 [/SUP], Luigi D Notarangelo[SUP] 6 [/SUP], Joaquin Martinez-Lopez[SUP] 7 [/SUP], Bryan Howie[SUP] 1 [/SUP], Jonathan M Carlson[SUP] 2 [/SUP], Harlan S Robins[SUP] 1 [/SUP]
Affiliations
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.
. 2025 Feb 17:16:1488851.
doi: 10.3389/fimmu.2025.1488851. eCollection 2025. A large-scale database of T-cell receptor beta sequences and binding associations from natural and synthetic exposure to SARS-CoV-2
Sean Nolan[SUP] 1 [/SUP], Marissa Vignali[SUP] 1 [/SUP], Mark Klinger[SUP] 1 [/SUP], Jennifer N Dines[SUP] 1 [/SUP], Ian M Kaplan[SUP] 1 [/SUP], Emily Svejnoha[SUP] 1 [/SUP], Tracy Craft[SUP] 1 [/SUP], Katie Boland[SUP] 1 [/SUP], Mitchell W Pesesky[SUP] 1 [/SUP], Rachel M Gittelman[SUP] 1 [/SUP], Thomas M Snyder[SUP] 1 [/SUP], Christopher J Gooley[SUP] 2 [/SUP], Simona Semprini[SUP] 3 [/SUP], Claudio Cerchione[SUP] 4 [/SUP], Fabio Nicolini[SUP] 5 [/SUP], Massimiliano Mazza[SUP] 5 [/SUP], Ottavia M Delmonte[SUP] 6 [/SUP], Kerry Dobbs[SUP] 6 [/SUP], Gonzalo Carreño-Tarragona[SUP] 7 [/SUP], Santiago Barrio[SUP] 7 [/SUP], Vittorio Sambri[SUP] 3 [/SUP], Giovanni Martinelli[SUP] 4 [/SUP], Jason D Goldman[SUP] 8 9 [/SUP], James R Heath[SUP] 10 [/SUP], Luigi D Notarangelo[SUP] 6 [/SUP], Joaquin Martinez-Lopez[SUP] 7 [/SUP], Bryan Howie[SUP] 1 [/SUP], Jonathan M Carlson[SUP] 2 [/SUP], Harlan S Robins[SUP] 1 [/SUP]
Affiliations
- PMID: 40034696
- PMCID: PMC11873104
- DOI: 10.3389/fimmu.2025.1488851
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.