Evidence map›Paper›PMID 42467535›Full record

ArticleSTAR protocols2026

Deep phenotyping ILCs and T cells: A comparative analysis protocol for conventional and spectral flow cytometry.

Jadie Acklam, Sukhveer K Mann, Karen G Hogg, Richard Leach, Andy C Rawstron, Ruth M De Tute, Catherine Cargo, Sinisa Savic, Ian S Hitchcock, Jillian L Barlow

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 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

10 authors.

Jadie AcklamCentre for Blood Research, York Biomedical Research Institute, Department of Biology, University of York, Heslington, York YO10 5DD, UK; NIHR, Leeds-York Biomedical Research Centre, Leeds, UK. Electronic address: ja1109@york.ac.uk.
Sukhveer K MannDepartment of Biology, Bioscience Technology Facility, University of York, York YO10 5DD, UK.
Karen G HoggDepartment of Biology, Bioscience Technology Facility, University of York, York YO10 5DD, UK.
Richard LeachHaematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK.
Andy C RawstronHaematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK.
Ruth M De TuteHaematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK.
Catherine CargoHaematological Malignancy Diagnostic Service, St James's University Hospital, Leeds, UK.
Sinisa SavicNIHR, Leeds-York Biomedical Research Centre, Leeds, UK; Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Ian S HitchcockCentre for Blood Research, York Biomedical Research Institute, Department of Biology, University of York, Heslington, York YO10 5DD, UK; NIHR, Leeds-York Biomedical Research Centre, Leeds, UK.
Jillian L BarlowCentre for Blood Research, York Biomedical Research Institute, Department of Biology, University of York, Heslington, York YO10 5DD, UK; NIHR, Leeds-York Biomedical Research Centre, Leeds, UK. Electronic address: jillian.barlow@york.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a protocol for identifying human innate lymphoid cells (ILCs) and T cells using a 19-plex flow cytometry panel. We describe steps for titrating antibodies, preparing single-stain controls and samples, and staining cells for human peripheral blood and bone marrow samples. We then detail procedures for transferring a flow cytometry panel optimized for conventional cytometry to spectral flow cytometry analysis. This protocol facilitates correlation with murine models, maximizes measurable parameters, resolves complex fluorophore combinations, and increases panel flexibility.

Indexed as

Health SciencesImmunologyNMGN Focused Collection

Identifiers

PMID42467535
PMCPMC13400343

What OpenQuestion holds

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LicenceCC BY
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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.