Evidence map›Paper›PMID 42745795›Full record

ArticleFrontiers in immunology2026

Comprehensive immune profiling of human peripheral blood mononuclear cells using two complementary spectral flow cytometry panels encompassing 60 unique markers.

Maartje H Rietdijk, Leo C Kuhnen, Marlous van den Braber, Alberta G A Paul, M Fernanda Pascutti, Juan J García-Vallejo

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Maartje H RietdijkAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam institute for Immunology and Infectious diseases, Amsterdam, Netherlands.
Leo C KuhnenAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam institute for Immunology and Infectious diseases, Amsterdam, Netherlands.
Marlous van den BraberAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam institute for Immunology and Infectious diseases, Amsterdam, Netherlands.
Alberta G A PaulAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam institute for Immunology and Infectious diseases, Amsterdam, Netherlands.
M Fernanda PascuttiAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam institute for Immunology and Infectious diseases, Amsterdam, Netherlands.
Juan J García-VallejoAmsterdam UMC, Vrije Universiteit Amsterdam, Department of Molecular Cell Biology and Immunology, Cancer Center Amsterdam, Amsterdam institute for Immunology and Infectious diseases, Amsterdam, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive immune profiling is essential for immunomonitoring studies aimed at identification of diagnostic and prognostic biomarkers. Peripheral blood mononuclear cells (PBMCs) undergo phenotypic and functional changes during disease, making them invaluable for the characterization of immune cell composition in both cross-sectional and longitudinal immune monitoring studies. We have developed a comprehensive immunophenotyping method based on two complementary panels of 60 unique markers to characterize B cells, T cells, innate lymphoid cells (ILCs), γδ T cells, mucosal-associated invariant T (MAIT) cells, natural killer (NK) cells, monocytes, dendritic cells (DCs) and several of their subsets, including their functional status, within human peripheral blood mononuclear cells (PBMCs). Dividing the markers over two complementary panels allows for inclusion of many more markers than currently allowed for single panels by state-of-the-art spectral flow cytometers, enabling the immunophenotyping of a broad spectrum of immune cell subsets at great analytical depth. This includes rare subsets and subsets that require an extensive combination of markers to be resolved, combined with the option of assessing differentiation, activation and exhaustion. The method enables the resolution of more than 50 distinct populations, and detailed exploration of differentiation, activation and exhaustion of these subsets, as is demonstrated here on PBMC samples from healthy donors, glioblastoma, inflammatory bowel disease and COVID-19 patients. The protocol supports both manual and unsupervised data analysis approaches and is suitable for large-scale immunomonitoring studies requiring standardized, reproducible multi-batch workflows.

Indexed as

Flow CytometryImmunophenotypingLeukocytes, MononuclearBiomarkersHumansBiomarkershigh dimensional data analysishumanimmunomonitoringPBMCspectral flow cytometer

Identifiers

PMID42745795
PMCPMC13574664

What Socratic holds

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Registered trials

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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.