Immunoprofiling of Drosophila Hemocytes by Single-cell Mass Cytometry.


Journal

Genomics, proteomics & bioinformatics
ISSN: 2210-3244
Titre abrégé: Genomics Proteomics Bioinformatics
Pays: China
ID NLM: 101197608

Informations de publication

Date de publication:
04 2021
Historique:
received: 14 11 2019
revised: 11 06 2020
accepted: 28 06 2020
pubmed: 14 3 2021
medline: 24 3 2022
entrez: 13 3 2021
Statut: ppublish

Résumé

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, weoptimizedSCMC 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 (hop

Identifiants

pubmed: 33713850
pii: S1672-0229(21)00055-3
doi: 10.1016/j.gpb.2020.06.022
pmc: PMC8602394
pii:
doi:

Substances chimiques

Drosophila Proteins 0
Janus Kinases EC 2.7.10.2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

243-252

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

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Auteurs

József Á Balog (JÁ)

Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary; University of Szeged, Ph.D. School in Biology, Szeged H-6726, Hungary.

Viktor Honti (V)

Immunology Unit, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary.

Éva Kurucz (É)

Immunology Unit, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary.

Beáta Kari (B)

Immunology Unit, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary.

László G Puskás (LG)

Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary.

István Andó (I)

Immunology Unit, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary. Electronic address: ando@brc.hu.

Gábor J Szebeni (GJ)

Laboratory of Functional Genomics, Institute of Genetics, Biological Research Centre, Szeged H-6726, Hungary; Department of Physiology, Anatomy and Neuroscience, Faculty of Science and Informatics, University of Szeged, Szeged H-6726, Hungary. Electronic address: szebeni.gabor@brc.hu.

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Classifications MeSH