Evidence map›Paper›PMID 32999467›Full record

ArticleNature immunology2021

SARS-CoV-2-derived peptides define heterologous and COVID-19-induced T cell recognition.

Annika Nelde, Tatjana Bilich, Jonas S Heitmann, Yacine Maringer, Helmut R Salih, Malte Roerden, Maren Lübke, Jens Bauer, Jonas Rieth, Marcel Wacker and 32 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 408 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
408citing papers in PubMed, 3 pooled it
13.0field-weighted citation impact, top 1% of its field
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

408 citing papers in PubMed, 3 syntheses or guidelines pooled it, 634 citations in OpenAlex.

  1. Pooled it
  2. Resolving SARS-CoV-2 CD4Cell reports. Medicine · 2022
    Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Article
  7. The ageing immune system and its battle with viruses.The Journal of general virology · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Serial vaccination expands and refines human CD4bioRxiv : the preprint server for biology · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

348 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

42 authors at 9 institutions in 1 country.

Annika Nelde *Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-8504-8481
Tatjana Bilich *Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-8107-0419
Jonas S Heitmann *Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Yacine MaringerClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Helmut R SalihClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Malte RoerdenInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-7283-9778
Maren LübkeInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Jens BauerClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-3731-2385
Jonas RiethClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Marcel WackerClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Andreas PeterInstitute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany.
Sebastian HörberInstitute for Clinical Chemistry and Pathobiochemistry, Department for Diagnostic Laboratory Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-5718-1530
Bjoern TraenkleNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
Philipp D KaiserNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
Ulrich RothbauerNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0001-5923-8986
Matthias BeckerNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0002-9243-4257
Daniel JunkerNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
Gérard KrauseDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.ORCID http://orcid.org/0000-0003-3328-8808
Monika StrengertDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Nicole Schneiderhan-MarraNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0001-6785-181X
Markus F TemplinNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.ORCID http://orcid.org/0000-0002-6569-6489
Thomas O JoosNMI, Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany.
Daniel J KowalewskiImmatics Biotechnologies GmbH, Tübingen, Germany.ORCID http://orcid.org/0000-0003-0482-9927
Vlatka Stos-ZweifelImmatics Biotechnologies GmbH, Tübingen, Germany.
Michael FehrInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Armin RabsteynCluster of Excellence iFIT (EXC2180) 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tübingen, Tübingen, Germany.
Valbona MirakajDepartment of Anesthesia and Intensive Care Medicine, University Hospital Tübingen, Tübingen, Germany.
Julia KarbachDepartment of Oncology and Hematology, Krankenhaus Nordwest, Frankfurt, Germany.
Elke JägerDepartment of Oncology and Hematology, Krankenhaus Nordwest, Frankfurt, Germany.
Michael GrafApplied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany.
Lena-Christin GruberClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
David RachfalskiClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Beate PreußDepartment of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany.
Ilona HagelsteinClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.
Melanie MärklinClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-2920-3894
Tamam BakchoulInstitute for Clinical and Experimental Transfusion Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-6797-6812
Cécile GouttefangeasInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Oliver KohlbacherApplied Bioinformatics, Center for Bioinformatics and Department of Computer Science, University of Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0003-1739-4598
Reinhild KleinDepartment of Hematology, Oncology, Clinical Immunology and Rheumatology, University Hospital Tübingen, Tübingen, Germany.
Stefan StevanovićInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Hans-Georg RammenseeInstitute for Cell Biology, Department of Immunology, University of Tübingen, Tübingen, Germany.
Juliane S WalzClinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), Department of Internal Medicine, University Hospital Tübingen, Tübingen, Germany. juliane.walz@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0001-6404-7391
Deutschen Konsortium für Translationale Krebsforschung · DENatural and Medical Sciences Institute · DEUniversity Children's Hospital Tübingen · DEUniversity of Tübingen · DEGerman Cancer Research Center · DEImmatics Biotechnologies (Germany) · DEKrankenhaus Nordwest · DEMedizinische Hochschule Hannover · DEMax Planck Institute for Developmental Biology · DE

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) FKZ:01KI20130Deutsche Forschungsgemeinschaft (German Research Foundation) WA 4608/1-2EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 101003480 - CORESMAWilhelm Sander-Stiftung (Wilhelm Sander Foundation) 2016.177.2
6 · The paper itself

Abstract

T cell immunity is central for the control of viral infections. To characterize T cell immunity, but also for the development of vaccines, identification of exact viral T cell epitopes is fundamental. Here we identify and characterize multiple dominant and subdominant SARS-CoV-2 HLA class I and HLA-DR peptides as potential T cell epitopes in COVID-19 convalescent and unexposed individuals. SARS-CoV-2-specific peptides enabled detection of post-infectious T cell immunity, even in seronegative convalescent individuals. Cross-reactive SARS-CoV-2 peptides revealed pre-existing T cell responses in 81% of unexposed individuals and validated similarity with common cold coronaviruses, providing a functional basis for heterologous immunity in SARS-CoV-2 infection. Diversity of SARS-CoV-2 T cell responses was associated with mild symptoms of COVID-19, providing evidence that immunity requires recognition of multiple epitopes. Together, the proposed SARS-CoV-2 T cell epitopes enable identification of heterologous and post-infectious T cell immunity and facilitate development of diagnostic, preventive and therapeutic measures for COVID-19.

Indexed as

COVID-19Cross ReactionsEpitopes, T-LymphocyteHistocompatibility Antigens Class IHLA-DR AntigensHumansImmunologic MemoryPeptidesSARS-CoV-2T-LymphocytesViral VaccinesEpitopes, T-LymphocyteHistocompatibility Antigens Class IHLA-DR AntigensPeptidesViral Vaccines

Identifiers

PMID32999467
OpenAlexW3089759643

What OpenQuestion holds

Textmetadata
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.