Evidence map›Paper›PMID 34630413›Full record

ArticleFrontiers in immunology2021

T-BET and EOMES Accelerate and Enhance Functional Differentiation of Human Natural Killer Cells.

Laura Kiekens, Wouter Van Loocke, Sylvie Taveirne, Sigrid Wahlen, Eva Persyn, Els Van Ammel, Zenzi De Vos, Patrick Matthys, Filip Van Nieuwerburgh, Tom Taghon and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.4field-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

37 citing papers in PubMed, 59 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Laura KiekensLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Wouter Van LoockeCancer Research Institute Ghent (CRIG), Ghent, Belgium.
Sylvie TaveirneLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Sigrid WahlenLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Eva PersynLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Els Van AmmelLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Zenzi De VosLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Patrick MatthysLaboratory of Immunobiology, Rega Institute for Medical Research, Department of Microbiology, Immunology and Transplantation, K.U. Leuven, Leuven, Belgium.
Filip Van NieuwerburghLaboratory of Pharmaceutical Biotechnology, Department of Pharmaceutics, Ghent University, Ghent, Belgium.
Tom TaghonLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Pieter Van VlierbergheCancer Research Institute Ghent (CRIG), Ghent, Belgium.
Bart VandekerckhoveLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Georges LeclercqLaboratory of Experimental Immunology, Department of Diagnostic Sciences, Ghent University, Ghent, Belgium.
Cancer Research Institute Ghent · BEGhent University · BERega Institute for Medical Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-bet and Eomes are transcription factors that are known to be important in maturation and function of murine natural killer (NK) cells. Reduced T-BET and EOMES expression results in dysfunctional NK cells and failure to control tumor growth. In contrast to mice, the current knowledge on the role of T-BET and EOMES in human NK cells is rudimentary. Here, we ectopically expressed either T-BET or EOMES in human hematopoietic progenitor cells. Combined transcriptome, chromatin accessibility and protein expression analyses revealed that T-BET or EOMES epigenetically represses hematopoietic stem cell quiescence and non-NK lineage differentiation genes, while activating an NK cell-specific transcriptome and thereby drastically accelerating NK cell differentiation. In this model, the effects of T-BET and EOMES are largely overlapping, yet EOMES shows a superior role in early NK cell maturation and induces faster NK receptor and enhanced CD16 expression. T-BET particularly controls transcription of terminal maturation markers and epigenetically controls strong induction of KIR expression. Finally, NK cells generated upon T-BET or EOMES overexpression display improved functionality, including increased IFN-γ production and killing, and especially EOMES overexpression NK cells have enhanced antibody-dependent cellular cytotoxicity. Our findings reveal novel insights on the regulatory role of T-BET and EOMES in human NK cell maturation and function, which is essential to further understand human NK cell biology and to optimize adoptive NK cell therapies.

Indexed as

Cell DifferentiationAnimalsAntibody-Dependent Cell CytotoxicityCell LineageChromatin Assembly and DisassemblyCoculture TechniquesEpigenesis, GeneticFetal BloodGPI-Linked ProteinsHematopoietic Stem CellsHumansInterferon-gammaK562 CellsKiller Cells, NaturalMicePhenotypeEOMES protein, humanFCGR3B protein, humanGPI-Linked ProteinsIFNG protein, humanInterferon-gammaReceptors, IgGReceptors, KIRT-bet Transcription FactorT-Box Domain Proteinsantibody-dependent cellular cytotoxicityCD16 expressionEOMEShuman NK cellsNK cell biologyNK cell therapyT-BETtranscription factors

Identifiers

PMID34630413
PMCPMC8497824
OpenAlexW3203534990

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.