Evidence map›Paper›PMID 26860370›Full record

ArticleImmunology and cell biology2016

Linking the T cell receptor to the single cell transcriptome in antigen-specific human T cells.

Auda A Eltahla, Simone Rizzetto, Mehdi R Pirozyan, Brigid D Betz-Stablein, Vanessa Venturi, Katherine Kedzierska, Andrew R Lloyd, Rowena A Bull, Fabio Luciani

Abstract read
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Article in Immunology and cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

73 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Article
  8. Demonstration of T-Cell Monotypia Using Anti-TCRbeta1/2 (Diagnostics (Basel, Switzerland) · 2024
    Article
  9. Article
  10. Review
  11. Article
  12. CARNature communications · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. AIRR Community Guide to Planning and Performing AIRR-Seq Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. Expansion of Unique Hepatitis C Virus-Specific Public CD8Journal of immunology (Baltimore, Md. : 1950) · 2021
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Auda A EltahlaSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Simone RizzettoSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Mehdi R PirozyanSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Brigid D Betz-StableinSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Vanessa VenturiKirby Institute for Infection and Immunity, University of New South Wales, Sydney, Australia.
Katherine KedzierskaDepartment of Microbiology and Immunology, University of Melbourne, Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
Andrew R LloydSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Rowena A BullSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.
Fabio LucianiSystems Medicine in Infectious Diseases, Inflammation and Infection Research Centre, School of Medical Sciences, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heterogeneity of T cells is a hallmark of a successful adaptive immune response, harnessing the vast diversity of antigen-specific T cells into a coordinated evolution of effector and memory outcomes. The T cell receptor (TCR) repertoire is highly diverse to account for the highly heterogeneous antigenic world. During the response to a virus multiple individual clones of antigen specific CD8+ (Ag-specific) T cells can be identified against a single epitope and multiple epitopes are recognised. Advances in single-cell technologies have provided the potential to study Ag-specific T cell heterogeneity at both surface phenotype and transcriptome levels, thereby allowing investigation of the diversity within the same apparent sub-population. We propose a new method (VDJPuzzle) to reconstruct the native TCRαβ from single cell RNA-seq data of Ag-specific T cells and then to link these with the gene expression profile of individual cells. We applied this method using rare Ag-specific T cells isolated from peripheral blood of a subject who cleared hepatitis C virus infection. We successfully reconstructed productive TCRαβ in 56 of a total of 63 cells (89%), with double α and double β in 18, and 7% respectively, and double TCRαβ in 2 cells. The method was validated via standard single cell PCR sequencing of the TCR. We demonstrate that single-cell transcriptome analysis can successfully distinguish Ag-specific T cell populations sorted directly from resting memory cells in peripheral blood and sorted after ex vivo stimulation. This approach allows a detailed analysis of the TCR diversity and its relationship with the transcriptional profile of different clones.

Indexed as

EpitopesEpitopes, T-LymphocyteGene Expression ProfilingGene Expression RegulationHumansReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaSequence Analysis, RNASingle-Cell AnalysisT-LymphocytesTranscriptomeV(D)J RecombinationEpitopesEpitopes, T-LymphocyteReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID26860370

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.