Article ; Online: Phenotyping of tumor infiltrating immune cells using mass-cytometry (CyTOF).
2019 Volume 632, Page(s) 339–368
Abstract: The anti-tumor immune response plays a crucial role in cancer patient outcome as well as in response to the growing family of immunotherapeutic treatments. Improving patient prognostic and therapeutic management requires a better knowledge of the tumor ... ...
Abstract | The anti-tumor immune response plays a crucial role in cancer patient outcome as well as in response to the growing family of immunotherapeutic treatments. Improving patient prognostic and therapeutic management requires a better knowledge of the tumor microenvironment, for which a deep characterization of tumor-infiltrating immune populations is instrumental. Mass cytometry represents an excellent tool in tumor Immunology, as it allows the simultaneous analysis of >40 markers on single cells. In this chapter, we review challenging technical aspects of the mass cytometry phenotyping of tumor infiltrating immune cells, focusing on fresh human solid tumor samples. We first explain how to design mass cytometry experiments, then provide detailed protocols to isolate mononuclear immune cells from solid tissues and to stain them for an acquisition on a mass cytometer. We also discuss how to optimize the preparation of single immune cell samples, and how to ensure the reproducibility of data generated from distinct fresh human samples. Finally, we provide troubleshooting suggestions for difficult sample acquisitions on a mass cytometer. |
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MeSH term(s) | Animals ; Flow Cytometry/methods ; Humans ; Immunophenotyping/methods ; Lymphocytes, Tumor-Infiltrating/immunology ; Mass Spectrometry/methods ; Neoplasms/immunology ; Single-Cell Analysis/methods ; Tumor Microenvironment |
Language | English |
Publishing date | 2019-10-18 |
Publishing country | United States |
Document type | Journal Article ; Review |
ISSN | 1557-7988 ; 0076-6879 |
ISSN (online) | 1557-7988 |
ISSN | 0076-6879 |
DOI | 10.1016/bs.mie.2019.07.025 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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