Literature DB >> 31077108

Picturing Polarized Myeloid Phagocytes and Regulatory Cells by Mass Cytometry.

Mikael Roussel1, Todd Bartkowiak2,3, Jonathan M Irish4,5.   

Abstract

The immune monocyte/phagocyte system (MPS) includes numerous cell subsets of the myeloid lineage including monocyte, macrophage, and dendritic cell (DC) populations that are heterogeneous both phenotypically and functionally. Previously, we characterized these diverse MPS phenotypes with multi-parametric mass cytometry (CyTOF). In order to expansively characterize monocytes, macrophages, and dendritic cells, a CyTOF panel was designed to measure 35 identity-, activation-, and polarization-markers. Here we provide a protocol to define a reference map for the myeloid compartment, including sample preparation, to produce reference cell subsets from the monocyte/phagocyte system. In particular, we focused on monocyte-derived macrophages that were further polarized in vitro with cytokine stimulation (i.e., M-CSF, GM-CSF, IL-4, IL-10, IFNγ, and LPS), as well as monocyte-derived DCs, and myeloid-derived suppressor cells (MDSCs), generated in vitro from human bone marrow and/or peripheral blood.

Entities:  

Keywords:  Dendritic cells; Macrophage polarization; Mass cytometry; Myeloid regulatory cells; Myeloid-derived suppressor cells

Mesh:

Substances:

Year:  2019        PMID: 31077108      PMCID: PMC6886519          DOI: 10.1007/978-1-4939-9454-0_14

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  26 in total

1.  Characterization of cytokine-induced myeloid-derived suppressor cells from normal human peripheral blood mononuclear cells.

Authors:  Melissa G Lechner; Daniel J Liebertz; Alan L Epstein
Journal:  J Immunol       Date:  2010-07-19       Impact factor: 5.422

Review 2.  Computational flow cytometry: helping to make sense of high-dimensional immunology data.

Authors:  Yvan Saeys; Sofie Van Gassen; Bart N Lambrecht
Journal:  Nat Rev Immunol       Date:  2016-06-20       Impact factor: 53.106

Review 3.  Mass Cytometry: Single Cells, Many Features.

Authors:  Matthew H Spitzer; Garry P Nolan
Journal:  Cell       Date:  2016-05-05       Impact factor: 41.582

4.  Mapping the human DC lineage through the integration of high-dimensional techniques.

Authors:  Peter See; Charles-Antoine Dutertre; Jinmiao Chen; Patrick Günther; Naomi McGovern; Sergio Erdal Irac; Merry Gunawan; Marc Beyer; Kristian Händler; Kaibo Duan; Hermi Rizal Bin Sumatoh; Nicolas Ruffin; Mabel Jouve; Ester Gea-Mallorquí; Raoul C M Hennekam; Tony Lim; Chan Chung Yip; Ming Wen; Benoit Malleret; Ivy Low; Nurhidaya Binte Shadan; Charlene Foong Shu Fen; Alicia Tay; Josephine Lum; Francesca Zolezzi; Anis Larbi; Michael Poidinger; Jerry K Y Chan; Qingfeng Chen; Laurent Rénia; Muzlifah Haniffa; Philippe Benaroch; Andreas Schlitzer; Joachim L Schultze; Evan W Newell; Florent Ginhoux
Journal:  Science       Date:  2017-05-04       Impact factor: 47.728

5.  Tumor-induced tolerance and immune suppression depend on the C/EBPbeta transcription factor.

Authors:  Ilaria Marigo; Erika Bosio; Samantha Solito; Circe Mesa; Audry Fernandez; Luigi Dolcetti; Stefano Ugel; Nada Sonda; Silvio Bicciato; Erika Falisi; Fiorella Calabrese; Giuseppe Basso; Paola Zanovello; Emanuele Cozzi; Susanna Mandruzzato; Vincenzo Bronte
Journal:  Immunity       Date:  2010-06-03       Impact factor: 31.745

6.  viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.

Authors:  El-ad David Amir; Kara L Davis; Michelle D Tadmor; Erin F Simonds; Jacob H Levine; Sean C Bendall; Daniel K Shenfeld; Smita Krishnaswamy; Garry P Nolan; Dana Pe'er
Journal:  Nat Biotechnol       Date:  2013-05-19       Impact factor: 54.908

Review 7.  Dendritic cells, monocytes and macrophages: a unified nomenclature based on ontogeny.

Authors:  Martin Guilliams; Florent Ginhoux; Claudia Jakubzick; Shalin H Naik; Nobuyuki Onai; Barbara U Schraml; Elodie Segura; Roxane Tussiwand; Simon Yona
Journal:  Nat Rev Immunol       Date:  2014-07-18       Impact factor: 53.106

Review 8.  The role of myeloid cells in cancer therapies.

Authors:  Camilla Engblom; Christina Pfirschke; Mikael J Pittet
Journal:  Nat Rev Cancer       Date:  2016-07       Impact factor: 60.716

9.  Generating Quantitative Cell Identity Labels with Marker Enrichment Modeling (MEM).

Authors:  Kirsten E Diggins; Jocelyn S Gandelman; Caroline E Roe; Jonathan M Irish
Journal:  Curr Protoc Cytom       Date:  2018-01-18

10.  In-Depth Characterization of Monocyte-Derived Macrophages using a Mass Cytometry-Based Phagocytosis Assay.

Authors:  Daniel Schulz; Yannik Severin; Vito Riccardo Tomaso Zanotelli; Bernd Bodenmiller
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

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  2 in total

1.  Mass cytometry defines distinct immune profile in germinal center B-cell lymphomas.

Authors:  Mikael Roussel; Faustine Lhomme; Caroline E Roe; Todd Bartkowiak; Pauline Gravelle; Camille Laurent; Thierry Fest; Jonathan M Irish
Journal:  Cancer Immunol Immunother       Date:  2020-01-09       Impact factor: 6.968

2.  Nonclassical Monocytes Are Prone to Migrate Into Tumor in Diffuse Large B-Cell Lymphoma.

Authors:  Simon Le Gallou; Faustine Lhomme; Jonathan M Irish; Anna Mingam; Celine Pangault; Celine Monvoisin; Juliette Ferrant; Imane Azzaoui; Delphine Rossille; Krimo Bouabdallah; Gandhi Damaj; Guillaume Cartron; Pascal Godmer; Steven Le Gouill; René-Olivier Casasnovas; Thierry Jo Molina; Roch Houot; Thierry Lamy; Karin Tarte; Thierry Fest; Mikael Roussel
Journal:  Front Immunol       Date:  2021-12-16       Impact factor: 8.786

  2 in total

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