Evidence map›Paper›PMID 31160786›Full record

ArticleNature protocols2019

Development, application and computational analysis of high-dimensional fluorescent antibody panels for single-cell flow cytometry.

Jolanda Brummelman, Claudia Haftmann, Nicolás Gonzalo Núñez, Giorgia Alvisi, Emilia M C Mazza, Burkhard Becher, Enrico Lugli

Abstract read
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In one paragraph

Article in Nature protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.

0numbers the graph read from it
0cells of the map it votes in
104citing 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

104 citing papers in PubMed.

  1. Article
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  5. Review
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  9. Article
  10. HIV-Exposed Seronegative Female Sex Workers Show Different Cellular Immune Profiles Across the Menstrual Cycle.American journal of reproductive immunology (New York, N.Y. : 1989) · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Tracking immune dysregulation in COVID-19: lymphocyte dynamics from hospitalization to recovery.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2025
    Article
  19. Touch as emotion regulation.Frontiers in psychology · 2025
    Review
  20. Article

44 more citing papers are in PubMed but not listed here.

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.

Jolanda BrummelmanLaboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.ORCID http://orcid.org/0000-0003-3581-4816
Claudia HaftmannLaboratory of Inflammation Research, Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland.
Nicolás Gonzalo NúñezLaboratory of Inflammation Research, Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland.
Giorgia AlvisiLaboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Emilia M C MazzaLaboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy.
Burkhard BecherLaboratory of Inflammation Research, Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1541-7867
Enrico LugliLaboratory of Translational Immunology, Humanitas Clinical and Research Center, Rozzano, Milan, Italy. enrico.lugli@humanitasresearch.it.ORCID http://orcid.org/0000-0002-1964-7678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interrogation of single cells is revolutionizing biology, especially our understanding of the immune system. Flow cytometry is still one of the most versatile and high-throughput approaches for single-cell analysis, and its capability has been recently extended to detect up to 28 colors, thus approaching the utility of cytometry by time of flight (CyTOF). However, flow cytometry suffers from autofluorescence and spreading error (SE) generated by errors in the measurement of photons mainly at red and far-red wavelengths, which limit barcoding and the detection of dim markers. Consequently, development of 28-color fluorescent antibody panels for flow cytometry is laborious and time consuming. Here, we describe the steps that are required to successfully achieve 28-color measurement capability. To do this, we provide a reference map of the fluorescence spreading errors in the 28-color space to simplify panel design and predict the success of fluorescent antibody combinations. Finally, we provide detailed instructions for the computational analysis of such complex data by existing, popular algorithms (PhenoGraph and FlowSOM). We exemplify our approach by designing a high-dimensional panel to characterize the immune system, but we anticipate that our approach can be used to design any high-dimensional flow cytometry panel of choice. The full protocol takes a few days to complete, depending on the time spent on panel design and data analysis.

Indexed as

Antibodies, MonoclonalAlgorithmsBiomarkersBuffersColoring AgentsComputational BiologyFlow CytometryFluorescent Antibody TechniqueForkhead Transcription FactorsHumansSignaling Lymphocytic Activation Molecule FamilySingle-Cell AnalysisT-LymphocytesAntibodies, MonoclonalBiomarkersBuffersCD244 protein, humanColoring AgentsForkhead Transcription FactorsFOXP3 protein, humanSignaling Lymphocytic Activation Molecule Family

Identifiers

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.