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Research Article
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
Sean Nolan
Adaptive Biotechnologies
Marissa Vignali
Adaptive Biotechnologies
ORCiD: https://orcid.org/0000-0002-7319-3371
Mark Klinger
Adaptive Biotechnologies
Jennifer N. Dines
Adaptive Biotechnologies
Ian M. Kaplan
Adaptive Biotechnologies
Emily Svejnoha
Adaptive Biotechnologies
Tracy Craft
Adaptive Biotechnologies
Katie Boland
Adaptive Biotechnologies
Mitch Pesesky
Adaptive Biotechnologies
Rachel M. Gittelman
Adaptive Biotechnologies
Thomas M. Snyder
Adaptive Biotechnologies
Christopher J. Gooley
Microsoft Research
Simona Semprini
University of Bologna
Claudio Cerchione
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori
Massimiliano Mazza
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori
Ottavia M. Delmonte
National Institute of Allergy and Infectious Diseases, National Institutes of Health
Kerry Dobbs
National Institute of Allergy and Infectious Diseases, National Institutes of Health
Gonzalo Carreño-Tarragona
Complutense University
Santiago Barrio
Complutense University
Vittorio Sambri
University of Bologna
Giovanni Martinelli
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori
Jason D. Goldman
Swedish Medical Center, Seattle, WA, USA and Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA
James R. Heath
Institute for Systems Biology
Luigi D. Notarangelo
National Institute of Allergy and Infectious Diseases, National Institutes of Health
The author confirmed that all appropriate ethical guidelines for the use of human subjects have been followed, any necessary IRB and/or ethics committee review has been obtained, and information about the IRB/ethics committee is included in the manuscript.
The author has confirmed that all necessary patient/participant consent or assent has been obtained and the appropriate institutional forms have been archived. If the IRB/ethics committee waived the requirement for patient/participant consent or assent, an explanation for the waiver is included in the text.
This study reports on a clinical trial.
The author has confirmed that this trial has been registered with an ICMJE-approved registry, and the trial registration ID has been provided in the text. If the article reports on a study that was registered retrospectively, a statement explaining why the study was not registered in advance has been provided in the text.
The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
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.
This is a preprint. It has not completed peer review.
Research Article
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
Sean Nolan
Adaptive Biotechnologies
Marissa Vignali
Adaptive Biotechnologies
ORCiD: https://orcid.org/0000-0002-7319-3371
Mark Klinger
Adaptive Biotechnologies
Jennifer N. Dines
Adaptive Biotechnologies
Ian M. Kaplan
Adaptive Biotechnologies
Emily Svejnoha
Adaptive Biotechnologies
Tracy Craft
Adaptive Biotechnologies
Katie Boland
Adaptive Biotechnologies
Mitch Pesesky
Adaptive Biotechnologies
Rachel M. Gittelman
Adaptive Biotechnologies
Thomas M. Snyder
Adaptive Biotechnologies
Christopher J. Gooley
Microsoft Research
Simona Semprini
University of Bologna
Claudio Cerchione
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori
Massimiliano Mazza
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori
Ottavia M. Delmonte
National Institute of Allergy and Infectious Diseases, National Institutes of Health
Kerry Dobbs
National Institute of Allergy and Infectious Diseases, National Institutes of Health
Gonzalo Carreño-Tarragona
Complutense University
Santiago Barrio
Complutense University
Vittorio Sambri
University of Bologna
Giovanni Martinelli
Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori
Jason D. Goldman
Swedish Medical Center, Seattle, WA, USA and Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA
James R. Heath
Institute for Systems Biology
Luigi D. Notarangelo
National Institute of Allergy and Infectious Diseases, National Institutes of Health
The author confirmed that all appropriate ethical guidelines for the use of human subjects have been followed, any necessary IRB and/or ethics committee review has been obtained, and information about the IRB/ethics committee is included in the manuscript.
The author has confirmed that all necessary patient/participant consent or assent has been obtained and the appropriate institutional forms have been archived. If the IRB/ethics committee waived the requirement for patient/participant consent or assent, an explanation for the waiver is included in the text.
This study reports on a clinical trial.
The author has confirmed that this trial has been registered with an ICMJE-approved registry, and the trial registration ID has been provided in the text. If the article reports on a study that was registered retrospectively, a statement explaining why the study was not registered in advance has been provided in the text.
The author has confirmed that a statement listing potential conflicts of interest or lack thereof is included in the text.
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.