Evidence map›Paper›PMID 38629063›Full record

ArticleFrontiers in immunology2024

Beyond 40 fluorescent probes for deep phenotyping of blood mononuclear cells, using spectral technology.

Sandrine Schmutz, Pierre-Henri Commere, Nicolas Montcuquet, Ana Cumano, Cédric Ait-Mansour, Sophie Novault, Milena Hasan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2024. 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
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 2 countries.

Sandrine SchmutzCytometry and Biomarkers UTechS/Cytometry Platform, Institut Pasteur, Université Paris Cité, Paris, France.
Pierre-Henri CommereCytometry and Biomarkers UTechS/Cytometry Platform, Institut Pasteur, Université Paris Cité, Paris, France.
Nicolas MontcuquetSony Biotechnology Europe, Sony Europe B.V, Weybridge, United Kingdom.
Ana CumanoLymphocyte and Immunity Unit, Institut National de la Santé et de la Recherche Médicale (INSERM) U1223, Institut Pasteur, Université Paris Cité, Paris, France.
Cédric Ait-MansourSony Biotechnology Europe, Sony Europe B.V, Weybridge, United Kingdom.
Sophie NovaultCytometry and Biomarkers UTechS/Cytometry Platform, Institut Pasteur, Université Paris Cité, Paris, France.
Milena HasanCytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France.
Université Paris Cité · FRSony (United Kingdom) · GBInstitut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analytical capability of flow cytometry is crucial for differentiating the growing number of cell subsets found in human blood. This is important for accurate immunophenotyping of patients with few cells and a large number of parameters to monitor. Here, we present a 43-parameter panel to analyze peripheral blood mononuclear cells from healthy individuals using 41 fluorescence-labelled monoclonal antibodies, an autofluorescent channel, and a viability dye. We demonstrate minimal population distortions that lead to optimized population identification and reproducible results. We have applied an advanced approach in panel design, in selection of sample acquisition parameters and in data analysis. Appropriate autofluorescence identification and integration in the unmixing matrix, allowed for resolution of unspecific signals and increased dimensionality. Addition of one laser without assigned fluorochrome resulted in decreased fluorescence spill over and improved discrimination of cell subsets. It also increased the staining index when autofluorescence was integrated in the matrix. We conclude that spectral flow cytometry is a highly valuable tool for high-end immunophenotyping, and that fine-tuning of major experimental steps is key for taking advantage of its full capacity.

Indexed as

Fluorescent DyesLeukocytes, MononuclearAntibodies, MonoclonalHumansLeukocyte CountLightAntibodies, MonoclonalFluorescent Dyesautofluorescencehigh-dimensionimmunophenotypingspectral cytometryunsupervised analysis

Identifiers

PMID38629063
PMCPMC11018965
OpenAlexW4393443314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.