Evidence map›Paper›PMID 41634488›Full record

ReviewNature immunology2026

The development of innate lymphoid cells.

Arundhoti Das, Yi Ding, Christelle Harly, Avinash Bhandoola

Abstract readReview
In one paragraph

Review in Nature immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Innate immunity: current understandings and future perspectives.Signal transduction and targeted therapy · 2026
    Review
  3. CD127International journal of molecular sciences · 2026
    Article
  4. Review
  5. Review
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

4 authors.

Arundhoti DasLaboratory of Genomic Integrity, Center for Cancer Research, NCI, NIH, Bethesda, MD, USA.
Yi DingLaboratory of Genomic Integrity, Center for Cancer Research, NCI, NIH, Bethesda, MD, USA.
Christelle HarlyNantes Université, Inserm UMR 1307, CNRS UMR 6075, Université d'Angers, CRCI2NA, Nantes, France.ORCID http://orcid.org/0000-0002-8045-9166
Avinash BhandoolaLaboratory of Genomic Integrity, Center for Cancer Research, NCI, NIH, Bethesda, MD, USA. avinash.bhandoola@nih.gov.ORCID http://orcid.org/0000-0002-4657-8372

Funding

T cell Development and RegenerationZIABC011633 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BHANDOOLA, AVINASH · 2015 to 2025
$20.5M
Intramural NIH HHS Z99 CA999999Intramural NIH HHS ZIA BC011633
6 · The paper itself

Abstract

Innate lymphoid cells (ILCs) are a diverse group of immune cells that possess many effector functions of T cells but lack somatically generated receptors. They have crucial roles in early immune responses and in maintaining tissue integrity. We review ILC developmental pathways and progenitors in mice, with a particular focus on adult bone marrow but also addressing fetal liver. We present recent insights into the earliest steps of ILC specification, as well as new evidence for developmental pathways that generate two functionally distinct types of natural killer cells. The anatomical locations where ILC progenitors are identified are outlined and evidence supporting ILC development in tissues examined. In addition, key transcriptional regulators that support ILC development are discussed. Although ILC and T-lineage cells use many of the same transcriptional controllers during development, we present new evidence indicating ILC transcriptional programs diverge from T-lineage programs at the earliest known steps of ILC lineage specification.

Indexed as

Immunity, InnateLymphocytesAnimalsCell DifferentiationCell LineageHumansKiller Cells, NaturalMiceT-Lymphocytes

Identifiers

PMID41634488
PMCPMC12959067

What OpenQuestion holds

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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.