Evidence map›Paper›PMID 42306773›Full record

ReviewFrontiers in molecular biosciences2026

Single-cell transcriptomics of granulocytes in asthma and atopic diseases.

Nicholas T Hogan, Alexis Garduno, Francisco Santos, Eugenia Winata, John-Wesley Pabalate, Praveen Akuthota, Gregory Seumois

Abstract readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Nicholas T Hogan *San Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States.
Alexis Garduno *San Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States.
Francisco SantosSan Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States.
Eugenia WinataSan Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States.
John-Wesley PabalateSan Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States.
Praveen Akuthota *University of California San Diego, San Diego, CA, United States.
Gregory Seumois *San Diego Biomedical Research Institute (SDBRI), San Diego, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since their early association with atopic disease, granulocytes, particularly eosinophils, have been widely used as biomarkers, yet the mechanisms underlying their role in airway and atopic inflammatory diseases remain incompletely understood. Single-cell transcriptomic approaches have begun to reveal substantial phenotypical and functional heterogeneity among granulocytes such as neutrophils and eosinophils, as well as in mast cells. In contrast, basophils remain sparsely represented in current datasets. As studies of other immune lineages have shown the significance of cellular diversity in atopic disease, extending this resolution to granulocytes marks an important frontier. In this review, we outline the historical and technical challenges that have constrained single-cell studies of human granulocytes and highlight the methodological breakthroughs that are now overcoming these barriers. We systematically reviewed published granulocyte scRNA-seq studies using PubMed and Talk2Data (BioTuring) platform. Our review underscores emerging roles for granulocyte heterogeneity in asthma and atopic disease and identifies remaining knowledge gaps where experimental and computational advances may accelerate understanding of their pathophysiologic functions.

Indexed as

asthmaatopic diseasebasophilseosinophilsgranulocytesmast cellsneutrophilsscRNAseq

Identifiers

PMID42306773
PMCPMC13268605

What Socratic 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 Socratic graph.