Evidence map›Paper›PMID 33296360›Full record

ArticlePLoS computational biology2020

Population variability in the generation and selection of T-cell repertoires.

Zachary Sethna, Giulio Isacchini, Thomas Dupic, Thierry Mora, Aleksandra M Walczak, Yuval Elhanati

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.1field-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

35 citing papers in PubMed, 63 citations in OpenAlex.

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  13. Innate-like T cell subset commitment in the murine thymus is independent of TCR characteristics and occurs during proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  18. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
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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

6 authors at 2 institutions in 3 countries.

Zachary SethnaSloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.ORCID 0000-0001-8859-1084
Giulio IsacchiniLaboratoire de physique de l'École Normale Supérieure, PSL University, CNRS, Sorbonne Université, Université de Paris 24 rue Lhomond, Paris, France.ORCID 0000-0003-2040-1058
Thomas DupicLaboratoire de physique de l'École Normale Supérieure, PSL University, CNRS, Sorbonne Université, Université de Paris 24 rue Lhomond, Paris, France.ORCID 0000-0003-1803-1617
Thierry MoraLaboratoire de physique de l'École Normale Supérieure, PSL University, CNRS, Sorbonne Université, Université de Paris 24 rue Lhomond, Paris, France.ORCID 0000-0002-5456-9361
Aleksandra M WalczakLaboratoire de physique de l'École Normale Supérieure, PSL University, CNRS, Sorbonne Université, Université de Paris 24 rue Lhomond, Paris, France.ORCID 0000-0002-2686-5702
Yuval ElhanatiComputational Oncology, Department of Epidemiology and Biostatistics, and Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.ORCID 0000-0002-4354-8864
Centre National de la Recherche Scientifique · FRMemorial Sloan Kettering Cancer Center · US

Funding

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

Abstract

The diversity of T-cell receptor (TCR) repertoires is achieved by a combination of two intrinsically stochastic steps: random receptor generation by VDJ recombination, and selection based on the recognition of random self-peptides presented on the major histocompatibility complex. These processes lead to a large receptor variability within and between individuals. However, the characterization of the variability is hampered by the limited size of the sampled repertoires. We introduce a new software tool SONIA to facilitate inference of individual-specific computational models for the generation and selection of the TCR beta chain (TRB) from sequenced repertoires of 651 individuals, separating and quantifying the variability of the two processes of generation and selection in the population. We find not only that most of the variability is driven by the VDJ generation process, but there is a large degree of consistency between individuals with the inter-individual variance of repertoires being about ∼2% of the intra-individual variance. Known viral-specific TCRs follow the same generation and selection statistics as all TCRs.

Indexed as

Adaptive ImmunityHumansReceptors, Antigen, T-Cell, alpha-betaT-LymphocytesV(D)J RecombinationReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID33296360
PMCPMC7725366
OpenAlexW3111056735

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.