Evidence map›Paper›PMID 25132095›Full record

ReviewNature reviews. Immunology2014

Interactions between innate and adaptive lymphocytes.

Georg Gasteiger, Alexander Y Rudensky

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 4 pooled it
9.3field-weighted citation impact, top 1% 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

114 citing papers in PubMed, 4 syntheses or guidelines pooled it, 204 citations in OpenAlex.

  1. CD4Sensors (Basel, Switzerland) · 2026
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54 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 2 countries.

Georg GasteigerImmunology Program, Howard Hughes Medical Institute and Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA, and the Institute of Medical Microbiology and Hygiene, University of Mainz Medical Centre, Mainz 55131, Germany.
Alexander Y RudenskyImmunology Program, Howard Hughes Medical Institute and Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA.
Howard Hughes Medical Institute · USMemorial Sloan Kettering Cancer Center · US

Funding

Self Peptides Bound to MHC Class II In T Cell SelectionR37AI034206 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI RUDENSKY, ALEXANDER Y · 2009 to 2018
$4.8M
Howard Hughes Medical InstituteNIAID NIH HHS R37 AI034206
6 · The paper itself

Abstract

Innate lymphocytes - including natural killer cells and the recently discovered innate lymphoid cells - have crucial roles during infection, tissue injury and inflammation. Innate signals regulate the activation and homeostasis of innate lymphocytes. The contribution of the adaptive immune system to the coordination of innate lymphocyte responses is less well understood. In this Opinion article, we review our current understanding of the interactions between adaptive and innate lymphocytes, and propose a model in which T cells of the adaptive immune system function as antigen-specific sensors for the activation of innate lymphocytes to amplify and instruct local immune responses. We highlight the potential roles of regulatory and helper T cells in these processes, and discuss major questions in the emerging area of crosstalk between adaptive and innate lymphocytes.

Indexed as

Adaptive ImmunityCell CommunicationCytokinesHumansImmunity, InnateInflammationKiller Cells, NaturalLymphocyte ActivationT-Lymphocytes, Helper-InducerT-Lymphocytes, RegulatoryCytokines

Identifiers

PMID25132095
PMCPMC4504695
OpenAlexW2055144429

What OpenQuestion holds

Textmetadata
LicenceTDM
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.