Evidence map›Paper›PMID 27729009›Full record

ArticleBMC immunology2016

A new high-throughput sequencing method for determining diversity and similarity of T cell receptor (TCR) α and β repertoires and identifying potential new invariant TCR α chains.

Kazutaka Kitaura, Tadasu Shini, Takaji Matsutani, Ryuji Suzuki

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

63 citing papers in PubMed, 88 citations in OpenAlex.

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  17. Low-frequency CD8NPJ vaccines · 2024
    Article
  18. Human TCR repertoire in cancer.Cancer medicine · 2024
    Review
  19. Article
  20. Article

3 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

4 authors at 1 institution in 1 country.

Kazutaka KitauraRepertoire Genesis Incorporation, 104 Saito-Bioincubator, 7-7-15, Saito-asagi, Ibaraki, Osaka, 567-0085, Japan.
Tadasu ShiniDepartment of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, Sagamihara National Hospital, National Hospital Organization, Sagamihara, Japan.
Takaji MatsutaniRepertoire Genesis Incorporation, 104 Saito-Bioincubator, 7-7-15, Saito-asagi, Ibaraki, Osaka, 567-0085, Japan. matsutani@repertoire.co.jp.
Ryuji SuzukiRepertoire Genesis Incorporation, 104 Saito-Bioincubator, 7-7-15, Saito-asagi, Ibaraki, Osaka, 567-0085, Japan.
National Sagamihara Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-throughput sequencing of T cell receptor (TCR) genes is a powerful tool for analyses of antigen specificity, clonality and diversity of T lymphocytes. Here, we developed a new TCR repertoire analysis method using 454 DNA sequencing technology in combination with an adaptor-ligation mediated polymerase chain reaction (PCR). This method allows the amplification of all TCR genes without PCR bias. To compare gene usage, diversity and similarity of expressed TCR repertoires among individuals, we conducted next-generation sequencing (NGS) of TRA and TRB genes in peripheral blood mononuclear cells from 20 healthy human individuals.

resultsFrom a total of 267,037 sequence reads from 20 individuals, 149,216 unique sequence reads were identified. Preferential usage of several V and J genes were observed while some recombinations of TRAV with TRAJ appeared to be restricted. The extent of TCR diversity was not significantly different between TRA and TRB, while TRA repertoires were more similar between individuals than TRB repertoires were. The interindividual similarity of TRA depended largely on the frequent presence of shared TCRs among two or more individuals. A publicly available TRA had a near-germline TCR with a shorter CDR3. Notably, shared TRA sequences, especially those shared among a large number of individuals', often contained TCRα related with invariant TCRα derived from invariant natural killer T cells and mucosal-associated invariant T cells.

conclusionThese results suggest that retrieval of shared TCRs by NGS would be useful for the identification of potential new invariant TCRα chains. This NGS method will enable the comprehensive quantitative analysis of TCR repertoires at a clonal level.

Indexed as

AdultAgedClone CellsComputational BiologyFemaleGenetic VariationHealthy VolunteersHigh-Throughput Nucleotide SequencingHumansJapanLeukocytes, MononuclearMaleMiddle AgedPolymerase Chain ReactionReceptors, Antigen, T-Cell, alpha-betaReceptors, Antigen, T-Cell, alpha-betaImmune profilingInvariant TCRαNext generation sequencingRepertoireT cell receptor

Identifiers

PMID27729009
PMCPMC5059964
OpenAlexW2530556528

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LicenceCC BY
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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.