Evidence map›Paper›PMID 41764398›Full record

ArticleEuropean journal of immunology2026

38-Marker Full-Spectrum Flow Cytometry Panel for the Comprehensive Profiling of γδ T Cells in Human Blood and Lymphoid Tissues.

Mohamed Hamed, Daniela Moreno-Vicencio, Daniel Arsovski, Mustafa Farhat, Rosie Sanders, Ellen Mann, Annabelle Bennett, Priyanka Chevour, Martin S Davey

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Mohamed HamedDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0009-0007-5118-1891
Daniela Moreno-VicencioDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0001-8745-0466
Daniel ArsovskiDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-8873-2083
Mustafa FarhatDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Rosie SandersDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0003-1660-0134
Ellen MannDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Annabelle BennettDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0009-0001-2377-9761
Priyanka ChevourDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-7113-9435
Martin S DaveyDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-3463-3127

Funding

Australian Government Postgraduate ScholarshipMedical Research Council MR/RO15910/1Monash Biomedicine Discovery InstituteRoyal Society RSWF∖R2∖222002U.S. Department of Defense PR210753
6 · The paper itself

Abstract

This is an update to the Guidelines for the Use of Flow Cytometry and Cell Sorting in Immunological Studies (Third Edition), Chapter 12C, by Cossarizza et al. A 38-marker full-spectrum flow cytometry panel enabling high-resolution profiling of human γδ T cells across blood and lymphoid tissues, including robust identification of rare, tissue-adapted subsets.

Indexed as

Flow CytometryLymphoid TissueReceptors, Antigen, T-Cell, gamma-deltaT-LymphocytesT-Lymphocyte SubsetsBiomarkersHumansImmunophenotypingBiomarkersReceptors, Antigen, T-Cell, gamma-delta

Identifiers

PMID41764398
PMCPMC12949950

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.