Profiling of Natural Killer Interactions With Cancer Cells Using Mass Cytometry.
Autor: | Hallisey M; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Dennis J; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Gabriel EP; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Masciarelli A; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Chen J; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts., Abrecht C; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Brainard M; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Marcotte WM; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Dong H; Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, Massachusetts., Hathaway E; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Tarannum M; Division of Hematologic Malignancies, Dana-Farber Cancer Institute, Boston, Massachusetts., Vergara JA; Division of Hematologic Malignancies, Dana-Farber Cancer Institute, Boston, Massachusetts., Schork AN; Longwood Medical Area CyTOF Core, Dana-Farber Cancer Institute, Boston, Massachusetts., Tyan K; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts., Tarantino G; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts., Liu D; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Broad Institute of MIT and Harvard, Cambridge, Massachusetts., Romee R; Division of Hematologic Malignancies, Dana-Farber Cancer Institute, Boston, Massachusetts., Rahma OE; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts., Severgnini M; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Hodi FS; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts., Baginska J; Department of Medical Oncology, Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. Electronic address: joanna_baginska@dfci.harvard.edu. |
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Jazyk: | angličtina |
Zdroj: | Laboratory investigation; a journal of technical methods and pathology [Lab Invest] 2023 Aug; Vol. 103 (8), pp. 100174. Date of Electronic Publication: 2023 May 09. |
DOI: | 10.1016/j.labinv.2023.100174 |
Abstrakt: | We developed a comprehensive method for functional assessment of the changes in immune populations and killing activity of peripheral blood mononuclear cells after cocultures with cancer cells using mass cytometry. In this study, a 43-marker mass cytometry panel was applied to a coculture of immune cells from healthy donors' peripheral blood mononuclear cells with diverse cancer cell lines. DNA content combined with classical CD45 surface staining was used as gating parameters for cocultures of immune cells (CD45 high /DNA low ) with hematological (CD45 low /DNA high ) and solid cancer cell lines (CD45 neg /DNA high ). This strategy allows for universal discrimination of cancer cells from immune populations without the need for a specific cancer cell marker and simultaneous assessment of phenotypical changes in both populations. The use of mass cytometry allows for simultaneous detection of changes in natural killer, natural killer T cell, and T cell phenotypes and degranulation of immune populations upon target recognition, analysis of target cells for cytotoxic protein granzyme B content, and cancer cell death. These findings have broad applicability in research and clinical settings with the aim to phenotype and assess functional changes following not only NK-cancer cell interactions but also the effect of those interactions on other immune populations. (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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