Evidence map›Paper›PMID 33336868›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2020

Development of a 43 color panel for the characterization of conventional and unconventional T-cell subsets, B cells, NK cells, monocytes, dendritic cells, and innate lymphoid cells using spectral flow cytometry.

Fairooz Sahir, Jericha Miles Mateo, Martin Steinhoff, Kodappully Sivaraman Siveen

Expression of concernOpen access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
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

41 citing papers in PubMed, 67 citations in OpenAlex.

  1. Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
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  19. CD4Neurobiology of stress · 2024
    Article
  20. Closing Editorial: Immunophenotyping in Autoimmune Diseases and Cancer 3.0.International journal of molecular sciences · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Fairooz SahirFlow Cytometry Core Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Jericha Miles MateoFlow Cytometry Core Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.
Martin SteinhoffDepartment of Dermatology and Venereology, Hamad Medical Corporation, Doha, Qatar.
Kodappully Sivaraman SiveenFlow Cytometry Core Facility, Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar.ORCID https://orcid.org/0000-0003-4669-1890
Hamad Medical Corporation · QACornell University · US

Funding

Hamad Medical Corporation IRGC-03-NI-17-071Hamad Medical Corporation IRGC-04-SI-17-151Hamad Medical Corporation MRC-03-19-039
6 · The paper itself

Abstract

Although many flow cytometers can analyze 30-50 parameters, it is still challenging to develop a 40+ color panel for the phenotyping of immune cells using fluorochrome conjugated antibodies due to limitations in the availability of spectrally unique fluorochromes that can be excited by the commonly used laser lines (UV, Violet, Blue, Green/Yellow-green, and Red). Spectral flowcytometry is capable of differentiating fluorochromes with significant overlap in the emission spectra, enabling the use of spectrally similar fluorochrome pairs such as Brilliant Blue 515 and FITC in a single panel. We have developed a 43 color panel to characterize most of the immune subsets within the peripheral immune system, including conventional T cells, unconventional T cells such as invariant natural killer T cells (iNKT), Gamma delta (γδ) T-cell subsets (TCR Vδ2, TCR Vγ9) and mucosal-associated invariant T cells (MAIT), B-cell subsets, natural killer (NK) cells, plasmacytoid dendritic cells, dendritic cell subsets, hematopoietic progenitor cells, basophils, and innate lymphoid cell (ILC) subsets (CD117, CRTH2). The panel includes surface markers to analyze activation (CD38, HLA-DR, ICOS/CD278), differentiation (CD45RA, CD27, CD28, CD57), expression of cytokine and chemokine receptors (CD25, CD127, CCR10, CCR6, CCR4, CXCR3, CXCR5, CRTH2/CD294), and co-inhibitory molecules and exhaustion (PD-1, CD223/LAG-3, TIGIT), which enables a deep characterization of PBMCs from peripheral blood. Cells were analyzed on a 5-laser Cytek Aurora and data analysis was done using FlowJo. This panel can help to make a thorough interpretation of immune system, specifically when specimen quantity is low. The panel has not been completely optimized but would rather act as a guide toward the development of a workflow for optimized multicolor immunophenotyping panel.

Indexed as

dendritic cellsimmunophenotypinginnate lymphoid cellsspectral flow cytometryunconventional T cells

Identifiers

PMID33336868
PMCPMC11497249
OpenAlexW3117334934

What OpenQuestion 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 OpenQuestion graph.