Evidence map›Paper›PMID 41498390›Full record

ArticleAllergy2026

Single-Cell Omics Analysis of Human Basophils Reveals Two Transcriptionally Distinct Populations.

Sofia Papavasileiou, Jiezhen Mo, Daryl Boey, Chenyan Wu, Magnus Tronstad, Lucille Margerie, Remi-André Olsen, Jörg A Bachmann, Jing Hui Low, Jocelyn Ong and 4 more

Abstract read
In one paragraph

Article in Allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. [Allergens induce activation of blood CCR3Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  2. Review
  3. Review
  4. 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

14 authors.

Sofia PapavasileiouDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-4066-5715
Jiezhen MoDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.
Daryl BoeyDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.
Chenyan WuDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.
Magnus TronstadDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.
Lucille MargerieDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-9537-1231
Remi-André OlsenDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.
Jörg A BachmannDepartment of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden.
Jing Hui LowSingapore Immunology Network (SIgN), agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Jocelyn OngSingapore Immunology Network (SIgN), agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Lars Heede BlomAllergy Clinic, Department of Dermatology and Allergy, Herlev and Gentofte University Hospital, Denmark.ORCID https://orcid.org/0000-0003-2027-727X
Anand Kumar AndiappanSingapore Immunology Network (SIgN), agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore.
Gunnar NilssonDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6795-5512
Joakim S DahlinDivision of Immunology and Respiratory Medicine, Department of Medicine Solna, Karolinska Institutet, and Center for Molecular Medicine, and Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-3007-9875

Funding

CancerfondenKarolinska InstitutetOnassis FoundationScience for Life LaboratorySingapore Immunology Network, Agency for Science, Technology and Research (A*STAR)Uppsala Multidisciplinary Center for Advanced Computational ScienceVetenskapsrådet
6 · The paper itself

Abstract

backgroundBasophils are implicated in various diseases including allergies, but a comprehensive single-cell characterization of human basophils has yet to be performed. Here, we aimed to generate a single-cell omics-based reference resource of circulating human basophils, integrating transcriptomic and large-scale immunoprofiling data. We also sought to investigate basophil heterogeneity at the molecular level.

methodsCirculating basophils were analyzed using cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq). Both short- and long-read single-cell RNA-sequencing platforms were used to capture the transcriptomic data.

resultsCITE-seq enabled accurate identification and profiling of side scatter

conclusionsWe present a multimodal single-cell resource that defines two novel transcriptionally distinct basophil populations. This resource, accessible through a user-friendly web interface, constitutes a cellular and molecular reference map for future studies of basophils in health and disease.

Indexed as

BasophilsMultiomicsSingle-Cell AnalysisTranscription, GeneticTranscriptomeGene Expression ProfilingHumansImmunophenotypingSingle-Cell Gene Expression Analysisbasophilsheterogeneitylong‐read sequencingscRNA‐seqsingle‐cell omics

Identifiers

PMID41498390
PMCPMC13256280

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LicenceCC BY-NC
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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.