Evidence map›Paper›PMID 24421780›Full record

ReviewFrontiers in immunology2013

Estimating the diversity, completeness, and cross-reactivity of the T cell repertoire.

Veronika I Zarnitsyna, Brian D Evavold, Louis N Schoettle, Joseph N Blattman, Rustom Antia

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

104 citing papers in PubMed, 186 citations in OpenAlex.

  1. Article
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  4. Review
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  9. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
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  19. Defining T cell receptor repertoires using nanovial-based binding and functional screening.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  20. Article

44 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

5 authors at 1 institution in 1 country.

Veronika I ZarnitsynaDepartment of Biology, Emory University , Atlanta, GA , USA.
Brian D EvavoldDepartment of Microbiology and Immunology, Emory University , Atlanta, GA , USA.
Louis N SchoettleCenter for Infectious Diseases and Vaccinology, School of Life Sciences, Arizona State University , Tempe, AZ , USA.
Joseph N BlattmanCenter for Infectious Diseases and Vaccinology, School of Life Sciences, Arizona State University , Tempe, AZ , USA.
Rustom AntiaDepartment of Biology, Emory University , Atlanta, GA , USA.
Emory University · US

Funding

Containing Bioterrorist and Emerging Infectious DiseasesU01GM070749 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH, LONGINI, IRA M · 2004 to 2013
$8.3M
CD4+ T cell affinity for self and foreign antigens in the CNSR01NS071518 · NINDS · UNIVERSITY OF UTAH · PI EVAVOLD, BRIAN D · 2010 to 2021
$3.3M
Evolution of CD8+ TCR affinity during chronic viral infectionR01AI096879 · NIAID · EMORY UNIVERSITY · PI EVAVOLD, BRIAN D · 2012 to 2016
$2.1M
NIAID NIH HHS R01 AI096879NIGMS NIH HHS U01 GM070749NINDS NIH HHS R01 NS071518
6 · The paper itself

Abstract

In order to recognize and combat a diverse array of pathogens the immune system has a large repertoire of T cells having unique T cell receptors (TCRs) with only a few clones specific for any given antigen. We discuss how the number of different possible TCRs encoded in the genome (the potential repertoire) and the number of different TCRs present in an individual (the realized repertoire) can be measured. One puzzle is that the potential repertoire greatly exceeds the realized diversity of naïve T cells within any individual. We show that the existing hypotheses fail to explain why the immune system has the potential to generate far more diversity than is used in an individual, and propose an alternative hypothesis of "evolutionary sloppiness." Another immunological puzzle is why mice and humans have similar repertoires even though humans have over 1000-fold more T cells. We discuss how the idea of the "protecton," the smallest unit of protection, might explain this discrepancy and estimate the size of "protecton" based on available precursor frequencies data. We then consider T cell cross-reactivity - the ability of a T cell clone to respond to more than one epitope. We extend existing calculations to estimate the extent of expected cross-reactivity between the responses to different pathogens. Our results are consistent with two observations: a low probability of observing cross-reactivity between the immune responses to two randomly chosen pathogens; and the ensemble of memory cells being sufficiently diverse to generate cross-reactive responses to new pathogens.

Indexed as

cross-reactivitypathogen recognitionprecursor frequencyrepertoireαβ T cell

Identifiers

PMID24421780
PMCPMC3872652
OpenAlexW1979068809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.