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Glasson Y, Chépeaux LA, Dumé AS, Jay P, Pirot N, Bonnefoy N, Michaud HA. A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry. Front Immunol 2023; 13:1011617. [PMID: 36741363 PMCID: PMC9893499 DOI: 10.3389/fimmu.2022.1011617] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 12/28/2022] [Indexed: 01/20/2023] Open
Abstract
Currently, the study of resistance mechanisms and disease progression in cancer relies on the capacity to analyze tumors as a complex ecosystem of healthy and malignant cells. Therefore, one of the current challenges is to decipher the intra-tumor heterogeneity and especially the spatial distribution and interactions of the different cellular actors within the tumor. Preclinical mouse models are widely used to extend our understanding of the tumor microenvironment (TME). Such models are becoming more sophisticated and allow investigating questions that cannot be addressed in clinical studies. Indeed, besides studying the tumor cell interactions within their environment, mouse models allow evaluating the efficacy of new drugs and delivery approaches, treatment posology, and toxicity. Spatially resolved analyses of the intra-tumor heterogeneity require global approaches to identify and localize a large number of different cell types. For this purpose, imaging mass cytometry (IMC) is a major asset in the field of human immuno-oncology. However, the paucity of validated IMC panels to study TME in pre-clinical mouse models remains a critical obstacle to translational or basic research in oncology. Here, we validated a panel of 31 markers for studying at the single-cell level the TME and the immune landscape for discovering/characterizing cells with complex phenotypes and the interactions shaping the tumor ecosystem in mouse models.
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Affiliation(s)
- Yaël Glasson
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Plateforme de Cytométrie et d’Imagerie de Masse, Montpellier, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Montpellier, France
| | - Laure-Agnès Chépeaux
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Plateforme de Cytométrie et d’Imagerie de Masse, Montpellier, France
| | - Anne-Sophie Dumé
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Plateforme de Cytométrie et d’Imagerie de Masse, Montpellier, France
| | - Philippe Jay
- Institut de Génomique Fonctionnelle (IGF), University of Montpellier, Centre national de la recherche scientifique (CNRS), Inserm, Montpellier, France
| | - Nelly Pirot
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Montpellier, France
- BioCampus Montpellier, Univ Montpellier, Centre national de la recherche scientifique (CNRS), Inserm, Réseau d’Histologie Expérimentale de Montpellier, Montpellier, France
| | - Nathalie Bonnefoy
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Plateforme de Cytométrie et d’Imagerie de Masse, Montpellier, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Montpellier, France
| | - Henri-Alexandre Michaud
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Plateforme de Cytométrie et d’Imagerie de Masse, Montpellier, France
- Institut de Recherche en Cancérologie de Montpellier (IRCM), Univ Montpellier, Inserm, Institut régional du Cancer de Montpellier (ICM), Montpellier, France
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Zhao J, Liu Y, Wang M, Ma J, Yang P, Wang S, Wu Q, Gao J, Chen M, Qu G, Wang J, Jiang G. Insights into highly multiplexed tissue images: A primer for Mass Cytometry Imaging data analysis. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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