Evidence map›Paper›PMID 33037653›Full record

ReviewScandinavian journal of immunology2020

T cell fate mapping and lineage tracing technologies probing clonal aspects underlying the generation of CD8 T cell subsets.

Shaima Al Khabouri, Carmen Gerlach

Open access · hybridAbstract readReview
In one paragraph

Review in Scandinavian journal of immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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  4. 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

2 authors at 1 institution in 1 country.

Shaima Al KhabouriDivision of Rheumatology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-5147-9627
Carmen GerlachDivision of Rheumatology, Department of Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7889-2393
Karolinska University Hospital · SE

Funding

CancerfondenJeanssons StiftelserKarolinska InstitutetKnut och Alice Wallenbergs StiftelseRagnar Söderbergs stiftelseVetenskapsrådet
6 · The paper itself

Abstract

T cells responding to acute infections generally provide two key functions to protect the host: (1) active contribution to pathogen elimination and (2) providing long-lived cells that are poised to rapidly respond to renewed infection, thus ensuring long-lasting protection against the particular pathogen. Extensive work has established an astonishing amount of additional diversity among T cells actively contributing to pathogen elimination, as well as among resting, long-lived antigen-experienced T cells. This led to the description of a variety of functionally distinct T cell 'subsets'. Understanding how this heterogeneity develops among T cells responding to the same antigen is currently an active area of research, since knowledge of such mechanisms may have implications for the development of vaccines and immunotherapy. The number of naïve T cells specific to a given antigen span a great range. Considering this, one mechanistic angle focusses on how individual naïve T cells contribute to the development of the distinct T cell subsets. In this review, we highlight the current technologies that enable one to address the contributions of individual naïve T cells to different T cell subsets, with a focus on CD8 T cell subsets generated in the context of acute infections. Moreover, we discuss the requirements of new technologies to further our understanding of the mechanisms that help generate long-lasting immunity.

Indexed as

AnimalsCD8-Positive T-LymphocytesCell DifferentiationCell LineageClonal Selection, Antigen-MediatedFluorescent Antibody TechniqueHumansInfectionsLymphocyte ActivationT-Lymphocyte Subsetsfate mappinglineage tracingsingle-cell technologiesT cell subsets

Identifiers

PMID33037653
PMCPMC7757170
OpenAlexW3092478417

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.