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Performance of spectral flow cytometry and mass cytometry for the study of innate myeloid cell populations.
van der Pan, Kyra; Khatri, Indu; de Jager, Anniek L; Louis, Alesha; Kassem, Sara; Naber, Brigitta A E; de Laat, Inge F; Hameetman, Marjolijn; Comans, Suzanne E T; Orfao, Alberto; van Dongen, Jacques J M; Díez, Paula; Teodosio, Cristina.
Afiliação
  • van der Pan K; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Khatri I; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • de Jager AL; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Louis A; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Kassem S; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Naber BAE; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • de Laat IF; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Hameetman M; Flow Cytometry Core Facility, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Comans SET; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Orfao A; Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
  • van Dongen JJM; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
  • Díez P; Translational and Clinical Research Program, Cancer Research Center (IBMCC; University of Salamanca - CSIC), Cytometry Service, NUCLEUS, Department of Medicine, University of Salamanca and Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.
  • Teodosio C; Department of Immunology, Leiden University Medical Center (LUMC), Leiden, Netherlands.
Front Immunol ; 14: 1191992, 2023.
Article em En | MEDLINE | ID: mdl-37275858
Introduction: Monitoring of innate myeloid cells (IMC) is broadly applied in basic and translational research, as well as in diagnostic patient care. Due to their immunophenotypic heterogeneity and biological plasticity, analysis of IMC populations typically requires large panels of markers. Currently, two cytometry-based techniques allow for the simultaneous detection of ≥40 markers: spectral flow cytometry (SFC) and mass cytometry (MC). However, little is known about the comparability of SFC and MC in studying IMC populations. Methods: We evaluated the performance of two SFC and MC panels, which contained 21 common markers, for the identification and subsetting of blood IMC populations. Based on unsupervised clustering analysis, we systematically identified 24 leukocyte populations, including 21 IMC subsets, regardless of the cytometry technique. Results: Overall, comparable results were observed between the two technologies regarding the relative distribution of these cell populations and the staining resolution of individual markers (Pearson's ρ=0.99 and 0.55, respectively). However, minor differences were observed between the two techniques regarding intra-measurement variability (median coefficient of variation of 42.5% vs. 68.0% in SFC and MC, respectively; p<0.0001) and reproducibility, which were most likely due to the significantly longer acquisition times (median 16 min vs. 159 min) and lower recovery rates (median 53.1% vs. 26.8%) associated with SFC vs. MC. Discussion: Altogether, our results show a good correlation between SFC and MC for the identification, enumeration and characterization of IMC in blood, based on large panels (>20) of antibody reagents.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Células Mieloides / Citometria de Fluxo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Células Mieloides / Citometria de Fluxo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article