Evidence map›Paper›PMID 29080364›Full record

ReviewImmunology2018

Comparative analysis of murine T-cell receptor repertoires.

Mark Izraelson, Tatiana O Nakonechnaya, Bruno Moltedo, Evgeniy S Egorov, Sofya A Kasatskaya, Ekaterina V Putintseva, Ilgar Z Mamedov, Dmitriy B Staroverov, Irina I Shemiakina, Maria Y Zakharova and 6 more

Abstract readReview
In one paragraph

Review in Immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. T Cell Thoughts.Immunological reviews · 2026
    Review
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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

16 authors.

Mark IzraelsonNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.
Tatiana O NakonechnayaNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.
Bruno MoltedoHoward Hughes Medical Institute and Immunology Program, Ludwig Center at Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Evgeniy S EgorovNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.
Sofya A KasatskayaShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Ekaterina V PutintsevaShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Ilgar Z MamedovNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.
Dmitriy B StaroverovNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.
Irina I ShemiakinaShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Maria Y ZakharovaShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Alexey N DavydovCentral European Institute of Technology, Brno, Czech Republic.
Dmitriy A BolotinShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Mikhail ShugayNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.
Dmitriy M ChudakovNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.ORCID 0000-0003-0430-790X
Alexander Y RudenskyHoward Hughes Medical Institute and Immunology Program, Ludwig Center at Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Olga V BritanovaNizhny Novgorod State Medical Academy, Nizhny Novgorod, Russia.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

For understanding the rules and laws of adaptive immunity, high-throughput profiling of T-cell receptor (TCR) repertoires becomes a powerful tool. The structure of TCR repertoires is instructive even before the antigen specificity of each particular receptor becomes available. It embodies information about the thymic and peripheral selection of T cells; the readiness of an adaptive immunity to withstand new challenges; the character, magnitude and memory of immune responses; and the aetiological and functional proximity of T-cell subsets. Here, we describe our current analytical approaches for the comparative analysis of murine TCR repertoires, and show several examples of how these approaches can be applied for particular experimental settings. We analyse the efficiency of different metrics used for estimation of repertoire diversity, repertoire overlap, V-gene and J-gene segments usage similarity, and amino acid composition of CDR3. We discuss basic differences of these metrics and their advantages and limitations in different experimental models, and we provide guidelines for choosing an efficient way to lead a comparative analysis of TCR repertoires. Applied to the various known and newly developed mouse models, such analysis should allow us to disentangle multiple sophisticated puzzles in adaptive immunity.

Indexed as

AnimalsComplementarity Determining RegionsImmunity, CellularMiceT-Lymphocyte SubsetsComplementarity Determining Regionsagingdiversityfunctional T-cell subsetsT cellT-cell receptor repertoires

Identifiers

PMID29080364
PMCPMC5765371

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.