Evidence map›Paper›PMID 35401538›Full record

ArticleFrontiers in immunology2022

Public T-Cell Receptors (TCRs) Revisited by Analysis of the Magnitude of Identical and Highly-Similar TCRs in Virus-Specific T-Cell Repertoires of Healthy Individuals.

Wesley Huisman, Lois Hageman, Didier A T Leboux, Alexandra Khmelevskaya, Grigory A Efimov, Marthe C J Roex, Derk Amsen, J H Frederik Falkenburg, Inge Jedema

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

30 citing papers in PubMed, 28 citations in OpenAlex.

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  7. Guiding Antiviral Cell Therapy Approaches with an Online Resource of Clinically Scored Epitopes, T-Cell Receptors, and B-Cell Receptors.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Wesley HuismanDepartment of Hematology, Leiden University Medical Center, Leiden, Netherlands.
Lois HagemanDepartment of Hematology, Leiden University Medical Center, Leiden, Netherlands.
Didier A T LebouxDepartment of Hematology, Leiden University Medical Center, Leiden, Netherlands.
Alexandra KhmelevskayaLaboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russia.
Grigory A EfimovLaboratory of Transplantation Immunology, National Research Center for Hematology, Moscow, Russia.
Marthe C J RoexDepartment of Hematology, Leiden University Medical Center, Leiden, Netherlands.
Derk AmsenDepartment of Hematopoiesis, Sanquin Research and Landsteiner Laboratory for Blood Cell Research, Amsterdam, Netherlands.
J H Frederik FalkenburgDepartment of Hematology, Leiden University Medical Center, Leiden, Netherlands.
Inge JedemaDepartment of Hematology, Leiden University Medical Center, Leiden, Netherlands.
Leiden University Medical Center · NLFederal State Institution Hematology Research Center · RUSanquin · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since multiple different T-cell receptor (TCR) sequences can bind to the same peptide-MHC combination and the number of TCR-sequences that can theoretically be generated even exceeds the number of T cells in a human body, the likelihood that many public identical (PUB-I) TCR-sequences frequently contribute to immune responses has been estimated to be low. Here, we quantitatively analyzed the TCR-repertoires of 190 purified virus-specific memory T-cell populations, directed against 21 epitopes of Cytomegalovirus, Epstein-Barr virus and Adenovirus isolated from 29 healthy individuals, and determined the magnitude, defined as prevalence within the population and frequencies within individuals, of PUB-I TCR and of TCR-sequences that are highly-similar (PUB-HS) to these PUB-I TCR-sequences. We found that almost one third of all TCR nucleotide-sequences represented PUB-I TCR amino-acid (AA) sequences and found an additional 12% of PUB-HS TCRs differing by maximally 3 AAs. We illustrate that these PUB-I and PUB-HS TCRs were structurally related and contained shared core-sequences in their TCR-sequences. We found a prevalence of PUB-I and PUB-HS TCRs of up to 50% among individuals and showed frequencies of virus-specific PUB-I and PUB-HS TCRs making up more than 10% of each virus-specific T-cell population. These findings were confirmed by using an independent TCR-database of virus-specific TCRs. We therefore conclude that the magnitude of the contribution of PUB-I and PUB-HS TCRs to these virus-specific T-cell responses is high. Because the T cells from these virus-specific memory TCR-repertoires were the result of successful control of the virus in these healthy individuals, these PUB-HS TCRs and PUB-I TCRs may be attractive candidates for immunotherapy in immunocompromised patients that lack virus-specific T cells to control viral reactivation.

Indexed as

Epstein-Barr Virus InfectionsCytomegalovirusHerpesvirus 4, HumanHumansReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-CellCDR3 amino acid motifscomputational analysismemory T cells (Tmem)public T cell receptorsTCR repertoire analysisTCR - T cell receptorV-D-J recombinationvirus-specific T cell responses

Identifiers

PMID35401538
PMCPMC8987591
OpenAlexW4225727924

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.