Frontiers in Immunology (Feb 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,
- 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,
- Jason D. Goldman,
- James R. Heath,
- Luigi D. Notarangelo,
- Joaquin Martinez-Lopez,
- Bryan Howie,
- Jonathan M. Carlson,
- Harlan S. Robins
Affiliations
- Sean Nolan
- Adaptive Biotechnologies, Seattle, WA, United States
- Marissa Vignali
- Adaptive Biotechnologies, Seattle, WA, United States
- Mark Klinger
- Adaptive Biotechnologies, Seattle, WA, United States
- Jennifer N. Dines
- Adaptive Biotechnologies, Seattle, WA, United States
- Ian M. Kaplan
- Adaptive Biotechnologies, Seattle, WA, United States
- Emily Svejnoha
- Adaptive Biotechnologies, Seattle, WA, United States
- Tracy Craft
- Adaptive Biotechnologies, Seattle, WA, United States
- Katie Boland
- Adaptive Biotechnologies, Seattle, WA, United States
- Mitchell W. Pesesky
- Adaptive Biotechnologies, Seattle, WA, United States
- Rachel M. Gittelman
- Adaptive Biotechnologies, Seattle, WA, United States
- Thomas M. Snyder
- Adaptive Biotechnologies, Seattle, WA, United States
- Christopher J. Gooley
- Microsoft Research, Redmond, WA, United States
- Simona Semprini
- Unit of Microbiology - The Great Romagna Hub Laboratory, Pievesestina ITALY and DIMES, University of Bologna, Bologna, Italy
- Claudio Cerchione
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
- Fabio Nicolini
- Immunotherapy, Cell Therapy and Biobank (ITCB), IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
- Massimiliano Mazza
- Immunotherapy, Cell Therapy and Biobank (ITCB), IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
- Ottavia M. Delmonte
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
- Kerry Dobbs
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
- Gonzalo Carreño-Tarragona
- Hematology Department, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
- Santiago Barrio
- Hematology Department, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
- Vittorio Sambri
- Unit of Microbiology - The Great Romagna Hub Laboratory, Pievesestina ITALY and DIMES, University of Bologna, Bologna, Italy
- Giovanni Martinelli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
- Jason D. Goldman
- Swedish Medical Center, Seattle, WA, United States
- Jason D. Goldman
- Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, United States
- James R. Heath
- 0Institute for Systems Biology, Seattle, WA, United States
- Luigi D. Notarangelo
- Immune Deficiency Genetics Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
- Joaquin Martinez-Lopez
- Hematology Department, Hospital 12 de Octubre, i+12, CNIO, Complutense University, Madrid, Spain
- Bryan Howie
- Adaptive Biotechnologies, Seattle, WA, United States
- Jonathan M. Carlson
- Microsoft Research, Redmond, WA, United States
- Harlan S. Robins
- Adaptive Biotechnologies, Seattle, WA, United States
- DOI
- https://doi.org/10.3389/fimmu.2025.1488851
- Journal volume & issue
-
Vol. 16
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
