Evidence map›Paper›PMID 37694139›Full record

ArticleiScience2023

Dynamic single-cell regulomes characterize human peripheral blood innate lymphoid cell subpopulations.

Maryline Falquet, Ziyang Su, Tania Wyss, Giuseppe Ercolano, Sara Trabanelli, Camilla Jandus

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 2 institutions in 2 countries.

Maryline FalquetDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Ziyang SuDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Tania WyssDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Giuseppe ErcolanoDepartment of Experimental Pharmacology, University of Naples Federico II, Naples, Italy.
Sara TrabanelliDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Camilla JandusDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
University of Geneva · CHUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innate lymphoid cells (ILCs) are plastic immune cells divided into 3 main subsets, characterized by distinct phenotypic and functional profiles. Using single cell approaches, heightened heterogeneity of mouse ILCs has been appreciated, imprinted by tissue signals that shape their transcriptome and epigenome. Intra-subset diversity has also been observed in human ILCs. However, combined transcriptomic and epigenetic analyses of single ILCs in humans are lacking. Here, we show high transcriptional and epigenetic heterogeneity among human circulating ILCs in healthy individuals. We describe phenotypically distinct subclusters and diverse chromatin accessibility within main ILC populations, compatible with differentially poised states. We validate the use of this healthy donor-based analysis as resource dataset to help inferring ILC changes occurring in disease conditions. Overall, our work provides insights in the complex human ILC biology. We anticipate it to facilitate hypothesis-driven studies in patients, without the need to perform single cell OMICs using precious patients' material.

Indexed as

Cell biologyComponents of the immune systemImmunologyTranscriptomics

Identifiers

PMID37694139
PMCPMC10483052
OpenAlexW4386134457

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.