Evidence map›Paper›PMID 32793896›Full record

ArticleResearch square2020

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 and 17 more

Abstract readPreprint
In one paragraph

Article in Research square, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Sean NolanAdaptive Biotechnologies.
Marissa VignaliAdaptive Biotechnologies.ORCID 0000-0002-7319-3371
Mark KlingerAdaptive Biotechnologies.
Jennifer N DinesAdaptive Biotechnologies.
Ian M KaplanAdaptive Biotechnologies.
Emily SvejnohaAdaptive Biotechnologies.
Tracy CraftAdaptive Biotechnologies.
Katie BolandAdaptive Biotechnologies.
Mitch PeseskyAdaptive Biotechnologies.
Rachel M GittelmanAdaptive Biotechnologies.
Thomas M SnyderAdaptive Biotechnologies.
Christopher J GooleyMicrosoft Research.
Simona SempriniUniversity of Bologna.
Claudio CerchioneIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori.
Massimiliano MazzaIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori.
Ottavia M DelmonteNational Institute of Allergy and Infectious Diseases, National Institutes of Health.
Kerry DobbsNational Institute of Allergy and Infectious Diseases, National Institutes of Health.
Gonzalo Carreño-TarragonaComplutense University.
Santiago BarrioComplutense University.
Vittorio SambriUniversity of Bologna.
Giovanni MartinelliIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori.
Jason D GoldmanSwedish Medical Center, Seattle, WA, USA and Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
James R HeathInstitute for Systems Biology.
Luigi D NotarangeloNational Institute of Allergy and Infectious Diseases, National Institutes of Health.
Jonathan M CarlsonMicrosoft Research.
Joaquin Martinez-LopezComplutense University.
Harlan S RobinsAdaptive Biotechnologies.

Funding

Characterization of host immune responses to SARS-CoV-2ZIAAI001270 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NOTARANGELO, LUIGI · 2020 to 2025
$1.2M
6 · The paper itself

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 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.

Indexed as

ImmuneCODEimmunosequencingSARS-CoV-2TCR

Identifiers

PMID32793896
PMCPMC7418738

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.