Evidence map›Paper›PMID 33395405›Full record

ArticlePLoS genetics2021

Immune fingerprinting through repertoire similarity.

Thomas Dupic, Meriem Bensouda Koraichi, Anastasia A Minervina, Mikhail V Pogorelyy, Thierry Mora, Aleksandra M Walczak

Abstract read
In one paragraph

Article in PLoS genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Resolving SARS-CoV-2 CD4Cell reports. Medicine · 2022
    Pooled it
  2. Article
  3. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  4. Article
  5. Article
  6. Inferring the T cell repertoire dynamics of healthy individuals.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Article
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

6 authors.

Thomas DupicDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.ORCID 0000-0003-1803-1617
Meriem Bensouda KoraichiLaboratoire de physique de l'École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France.
Anastasia A MinervinaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Mikhail V PogorelyyShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Thierry MoraLaboratoire de physique de l'École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France.ORCID 0000-0002-5456-9361
Aleksandra M WalczakLaboratoire de physique de l'École Normale Supérieure, CNRS, Sorbonne Université, Université de Paris, and École normale supérieure (PSL), Paris, France.ORCID 0000-0002-2686-5702

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune repertoires provide a unique fingerprint reflecting the immune history of individuals, with potential applications in precision medicine. However, the question of how personal that information is and how it can be used to identify individuals has not been explored. Here, we show that individuals can be uniquely identified from repertoires of just a few thousands lymphocytes. We present "Immprint," a classifier using an information-theoretic measure of repertoire similarity to distinguish pairs of repertoire samples coming from the same versus different individuals. Using published T-cell receptor repertoires and statistical modeling, we tested its ability to identify individuals with great accuracy, including identical twins, by computing false positive and false negative rates < 10-6 from samples composed of 10,000 T-cells. We verified through longitudinal datasets that the method is robust to acute infections and that the immune fingerprint is stable for at least three years. These results emphasize the private and personal nature of repertoire data.

Indexed as

Models, StatisticalCD4-Positive T-LymphocytesHumansImmune SystemLymphocytesPrecision MedicineReceptors, Antigen, T-CellTwins, MonozygoticReceptors, Antigen, T-Cell

Identifiers

PMID33395405
PMCPMC7808657

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.