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

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

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 da...

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Main Authors: Sean Nolan, Marissa Vignali, Mark Klinger, Jennifer N. Dines, Ian M. Kaplan, Emily Svejnoha, Tracy Craft, Katie Boland, Mitchell W. Pesesky, Rachel M. Gittelman, Thomas M. Snyder, Christopher J. Gooley, Simona Semprini, Claudio Cerchione, Fabio Nicolini, Massimiliano Mazza, Ottavia M. Delmonte, Kerry Dobbs, Gonzalo Carreño-Tarragona, Santiago Barrio, Vittorio Sambri, Giovanni Martinelli, Jason D. Goldman, James R. Heath, Luigi D. Notarangelo, Joaquin Martinez-Lopez, Bryan Howie, Jonathan M. Carlson, Harlan S. Robins
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Immunology
Subjects:
SARS-CoV-2
COVID-19
T cell
TCR repertoire
immune response
cellular immunity
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1488851/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1488851/full

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