A large-scale database of T-cell receptor beta (TCRβ) sequences and binding associations from natural and synthetic exposure to SARS-CoV-2
- Sean Nolan ,
- Marissa Vignali ,
- Mark Klinger ,
- Jennifer N Dines ,
- Ian M Kaplan ,
- Emily Svejnoha ,
- Tracy Craft ,
- Katie Boland ,
- Mitch Pesesky ,
- Rachel M Gittelman ,
- Thomas M Snyder ,
- Christopher J Gooley ,
- Simona Semprini ,
- Claudio Cerchione ,
- 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 ,
- Jonathan M. Carlson ,
- Joaquin Martinez-Lopez ,
- Harlan S Robins
Research Square
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 135,000 high-confidence SARS-CoV-2-specific TCRs. This database is made freely available, and the data contained in it can be downloaded and analyzed online or offline to assist with the global efforts to understand the immune response to the SARS-CoV-2 virus and develop new interventions.