Evidence map›Paper›PMID 25801351›Full record

ArticleImmunology and cell biology2015

Naive CD8⁺ T-cell precursors display structured TCR repertoires and composite antigen-driven selection dynamics.

Michelle A Neller, Kristin Ladell, James E McLaren, Katherine K Matthews, Emma Gostick, Johanne M Pentier, Garry Dolton, Andrea J A Schauenburg, Dan Koning, Ana Isabel C A Fontaine Costa and 13 more

Abstract readComparative Study
In one paragraph

Article in Immunology and cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. The ageing immune system and its battle with viruses.The Journal of general virology · 2026
    Review
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  19. Single-Cell Approach to Influenza-Specific CD8Frontiers in immunology · 2018
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Michelle A NellerHuman Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia.
Kristin LadellInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
James E McLarenInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Katherine K MatthewsHuman Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia.
Emma GostickInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Johanne M PentierInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Garry DoltonInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Andrea J A SchauenburgInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Dan KoningDepartment of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Ana Isabel C A Fontaine CostaDepartment of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Thomas S WatkinsHuman Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia.
Vanessa VenturiComputational Biology Unit, Centre for Vascular Research, University of New South Wales, Kensington, NSW, Australia.
Corey SmithHuman Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia.
Rajiv KhannaHuman Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia.
Kelly MinersInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Mathew ClementInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Linda WooldridgeInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
David K ColeInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Debbie van BaarleDepartment of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands.
Andrew K SewellInstitute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK.
Scott R Burrows1] Human Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [2] School of Medicine, The University of Queensland, Brisbane, QLD, Australia.
David A Price1] Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK [2] Human Immunology Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
John J Miles1] Human Immunity Laboratory, Cellular Immunology Laboratory and Tumour Immunology Laboratory, Queensland Institute of Medical Research, Brisbane, QLD, Australia [2] Institute of Infection and Immunity, Cardiff University School of Medicine, Heath Park, Cardiff, UK [3] School of Medicine, The University of Queensland, Brisbane, QLD, Australia.

Funding

Biotechnology and Biological Sciences Research Council BB/H001085/1Medical Research Council APP613664Wellcome Trust 100326
6 · The paper itself

Abstract

Basic parameters of the naive antigen (Ag)-specific T-cell repertoire in humans remain poorly defined. Systematic characterization of this 'ground state' immunity in comparison with memory will allow a better understanding of clonal selection during immune challenge. Here, we used high-definition cell isolation from umbilical cord blood samples to establish the baseline frequency, phenotype and T-cell antigen receptor (TCR) repertoire of CD8(+) T-cell precursor populations specific for a range of viral and self-derived Ags. Across the board, these precursor populations were phenotypically naive and occurred with hierarchical frequencies clustered by Ag specificity. The corresponding patterns of TCR architecture were highly ordered and displayed partial overlap with adult memory, indicating biased structuring of the T-cell repertoire during Ag-driven selection. Collectively, these results provide new insights into the complex nature and dynamics of the naive T-cell compartment.

Indexed as

Clonal Selection, Antigen-MediatedT-Cell Antigen Receptor SpecificityAdultAgingAutoantigensCD8-Positive T-LymphocytesDasatinibFetal BloodFlow CytometryHematopoietic Stem CellsHLA AntigensHumansImmunologic MemoryImmunomagnetic SeparationImmunophenotypingInfant, NewbornAutoantigenscytomegalovirus matrix protein 65kDaDasatinibHLA AntigensPeptide FragmentsPhosphoproteinsReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaViral Matrix Proteins

Identifiers

PMID25801351
PMCPMC4533101

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Registered trials

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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.