Evidence map›Paper›PMID 26074921›Full record

ReviewFrontiers in immunology2015

Regulation of NKT Cell Localization in Homeostasis and Infection.

Drew Slauenwhite, Brent Johnston

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

72 citing papers in PubMed, 115 citations in OpenAlex.

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  5. Targeting orthotopic and metastatic pancreatic cancer with allogeneic stem cell-engineered mesothelin-redirected CAR-NKT cells.Proceedings of the National Academy of Sciences of the United States of America · 2025
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12 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

2 authors at 2 institutions in 1 country.

Drew SlauenwhiteDepartment of Microbiology and Immunology, Dalhousie University , Halifax, NS , Canada.
Brent JohnstonDepartment of Microbiology and Immunology, Dalhousie University , Halifax, NS , Canada ; Department of Pediatrics, Dalhousie University , Halifax, NS , Canada ; Department of Pathology, Dalhousie University , Halifax, NS , Canada ; Beatrice Hunter Cancer Research Institute , Halifax, NS , Canada.
Beatrice Hunter Cancer Research Institute · CADalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural killer T (NKT) cells are a specialized subset of T lymphocytes that regulate immune responses in the context of autoimmunity, cancer, and microbial infection. Lipid antigens derived from bacteria, parasites, and fungi can be presented by CD1d molecules and recognized by the canonical T cell receptors on NKT cells. Alternatively, NKT cells can be activated through recognition of self-lipids and/or pro-inflammatory cytokines generated during infection. Unlike conventional T cells, only a small subset of NKT cells traffic through the lymph nodes under homeostatic conditions, with the largest NKT cell populations localizing to the liver, lungs, spleen, and bone marrow. This is thought to be mediated by differences in chemokine receptor expression profiles. However, the impact of infection on the tissue localization and function of NKT remains largely unstudied. This review focuses on the mechanisms mediating the establishment of peripheral NKT cell populations during homeostasis and how tissue localization of NKT cells is affected during infection.

Indexed as

chemokinescytokineshomeostasisleukocyte homingnatural killer T cells

Identifiers

PMID26074921
PMCPMC4445310
OpenAlexW1537951595

What OpenQuestion holds

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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.