Evidence map›Paper›PMID 29075258›Full record

ArticleFrontiers in immunology2017

Quantitative Characterization of the T Cell Receptor Repertoire of Naïve and Memory Subsets Using an Integrated Experimental and Computational Pipeline Which Is Robust, Economical, and Versatile.

Theres Oakes, James M Heather, Katharine Best, Rachel Byng-Maddick, Connor Husovsky, Mazlina Ismail, Kroopa Joshi, Gavin Maxwell, Mahdad Noursadeghi, Natalie Riddell and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Trial
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  9. Article
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  11. Article
  12. Article
  13. LANA-specific CD4Nature communications · 2025
    Article
  14. Article
  15. GD2TNature communications · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

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

14 authors.

Theres OakesDivision of Infection and Immunity, University College London, London, United Kingdom.
James M HeatherDivision of Infection and Immunity, University College London, London, United Kingdom.
Katharine BestDivision of Infection and Immunity, University College London, London, United Kingdom.
Rachel Byng-MaddickDivision of Infection and Immunity, University College London, London, United Kingdom.
Connor HusovskyDivision of Infection and Immunity, University College London, London, United Kingdom.
Mazlina IsmailDivision of Infection and Immunity, University College London, London, United Kingdom.
Kroopa JoshiUCL Cancer Institute, University College London, London, United Kingdom.
Gavin MaxwellUnilever Safety and Environmental Assurance Centre, Unilever, Sharnbrook, United Kingdom.
Mahdad NoursadeghiDivision of Infection and Immunity, University College London, London, United Kingdom.
Natalie RiddellSchool of Biosciences and Medicine, University of Surrey, Guildford, United Kingdom.
Tabea RuehlDivision of Infection and Immunity, University College London, London, United Kingdom.
Carolin T TurnerDivision of Infection and Immunity, University College London, London, United Kingdom.
Imran UddinDivision of Infection and Immunity, University College London, London, United Kingdom.
Benny ChainDivision of Infection and Immunity, University College London, London, United Kingdom.

Funding

Cancer Research UK 20265Versus Arthritis 20131
6 · The paper itself

Abstract

The T cell receptor (TCR) repertoire can provide a personalized biomarker for infectious and non-infectious diseases. We describe a protocol for amplifying, sequencing, and analyzing TCRs which is robust, sensitive, and versatile. The key experimental step is ligation of a single-stranded oligonucleotide to the 3' end of the TCR cDNA. This allows amplification of all possible rearrangements using a single set of primers per locus. It also introduces a unique molecular identifier to label each starting cDNA molecule. This molecular identifier is used to correct for sequence errors and for effects of differential PCR amplification efficiency, thus producing more accurate measures of the true TCR frequency within the sample. This integrated experimental and computational pipeline is applied to the analysis of human memory and naive subpopulations, and results in consistent measures of diversity and inequality. After error correction, the distribution of TCR sequence abundance in all subpopulations followed a power law over a wide range of values. The power law exponent differed between naïve and memory populations, but was consistent between individuals. The integrated experimental and analysis pipeline we describe is appropriate to studies of T cell responses in a broad range of physiological and pathological contexts.

Indexed as

memory T cellsnaive T cellsrepertoire analysisT cell receptorunique molecular identifier

Identifiers

PMID29075258
PMCPMC5643411

What OpenQuestion holds

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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.