Evidence map›Paper›PMID 25275470›Full record

ArticlePloS one2014

Assessing T cell clonal size distribution: a non-parametric approach.

Olesya V Bolkhovskaya, Daniil Yu Zorin, Mikhail V Ivanchenko

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. SURROGATE SELECTION OVERSAMPLES EXPANDED T CELL CLONOTYPES.The annals of applied statistics · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Fluctuating fitness shapes the clone-size distribution of immune repertoires.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  15. Review
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

3 authors.

Olesya V BolkhovskayaFaculty for Radiophysics, Department of Statistics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.
Daniil Yu ZorinFaculty for Computational Mathematics and Cybernetics, Department of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.
Mikhail V IvanchenkoFaculty for Computational Mathematics and Cybernetics, Department of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clonal structure of the human peripheral T-cell repertoire is shaped by a number of homeostatic mechanisms, including antigen presentation, cytokine and cell regulation. Its accurate tuning leads to a remarkable ability to combat pathogens in all their variety, while systemic failures may lead to severe consequences like autoimmune diseases. Here we develop and make use of a non-parametric statistical approach to assess T cell clonal size distributions from recent next generation sequencing data. For 41 healthy individuals and a patient with ankylosing spondylitis, who undergone treatment, we invariably find power law scaling over several decades and for the first time calculate quantitatively meaningful values of decay exponent. It has proved to be much the same among healthy donors, significantly different for an autoimmune patient before the therapy, and converging towards a typical value afterwards. We discuss implications of the findings for theoretical understanding and mathematical modeling of adaptive immunity.

Indexed as

Cell SizeAdolescentAdultAgedAged, 80 and overAutoimmune DiseasesChildClone CellsConfidence IntervalsFemaleHumansMaleMiddle AgedReceptors, Antigen, T-CellStatistics, NonparametricTissue DonorsReceptors, Antigen, T-Cell

Identifiers

PMID25275470
PMCPMC4183510

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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.