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Citation
Balog, J.Á., Honti, V., Kurucz, É., Kari, B., Puskás, L.G., Andó, I., Szebeni, G.J. (2021). Immunoprofiling of Drosophila Hemocytes by Single-cell Mass Cytometry.  Genomics Proteomics Bioinformatics 19(2): 243--252.
FlyBase ID
FBrf0251924
Publication Type
Research paper
Abstract
Single-cell mass cytometry (SCMC) combines features of traditional flow cytometry (i.e., fluorescence-activated cell sorting) with mass spectrometry, making it possible to measure several parameters at the single-cell level for a complex analysis of biological regulatory mechanisms. In this study, we optimized SCMC to analyze hemocytes of the Drosophila innate immune system. We used metal-conjugated antibodies (against cell surface antigens H2, H3, H18, L1, L4, and P1, and intracellular antigens 3A5 and L2) and anti-IgM (against cell surface antigen L6) to detect the levels of antigens, while anti-GFP was used to detect crystal cells in the immune-induced samples. We investigated the antigen expression profile of single cells and hemocyte populations in naive states, in immune-induced states, in tumorous mutants bearing a driver mutation in the Drosophila homologue of Janus kinase (hopTum) and carrying a deficiency of the tumor suppressor gene lethal(3)malignant blood neoplasm-1 [l(3)mbn1], as well as in stem cell maintenance-defective hdcΔ84 mutant larvae. Multidimensional analysis enabled the discrimination of the functionally different major hemocyte subsets for lamellocytes, plasmatocytes, and crystal cells, anddelineated the unique immunophenotype of Drosophila mutants. We have identified subpopulations of L2+/P1+ and L2+/L4+/P1+ transitional phenotype cells in the tumorous strains l(3)mbn1 and hopTum, respectively, and a subpopulation of L4+/P1+ cells upon immune induction. Our results demonstrated for the first time that SCMC, combined with multidimensional bioinformatic analysis, represents a versatile and powerful tool to deeply analyze the regulation of cell-mediated immunity of Drosophila.
PubMed ID
PubMed Central ID
PMC8602394 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Genomics Proteomics Bioinformatics
    Title
    Genomics, proteomics & bioinformatics
    Publication Year
    2003-
    ISBN/ISSN
    1672-0229 2210-3244
    Data From Reference
    Genes (3)