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A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry

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 distributio...

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Autores principales: Glasson, Yaël, Chépeaux, Laure-Agnès, Dumé, Anne-Sophie, Jay, Philippe, Pirot, Nelly, Bonnefoy, Nathalie, Michaud, Henri-Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893499/
https://www.ncbi.nlm.nih.gov/pubmed/36741363
http://dx.doi.org/10.3389/fimmu.2022.1011617
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author Glasson, Yaël
Chépeaux, Laure-Agnès
Dumé, Anne-Sophie
Jay, Philippe
Pirot, Nelly
Bonnefoy, Nathalie
Michaud, Henri-Alexandre
author_facet Glasson, Yaël
Chépeaux, Laure-Agnès
Dumé, Anne-Sophie
Jay, Philippe
Pirot, Nelly
Bonnefoy, Nathalie
Michaud, Henri-Alexandre
author_sort Glasson, Yaël
collection PubMed
description 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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spelling pubmed-98934992023-02-03 A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry Glasson, Yaël Chépeaux, Laure-Agnès Dumé, Anne-Sophie Jay, Philippe Pirot, Nelly Bonnefoy, Nathalie Michaud, Henri-Alexandre Front Immunol Immunology 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. Frontiers Media S.A. 2023-01-19 /pmc/articles/PMC9893499/ /pubmed/36741363 http://dx.doi.org/10.3389/fimmu.2022.1011617 Text en Copyright © 2023 Glasson, Chépeaux, Dumé, Jay, Pirot, Bonnefoy and Michaud https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Glasson, Yaël
Chépeaux, Laure-Agnès
Dumé, Anne-Sophie
Jay, Philippe
Pirot, Nelly
Bonnefoy, Nathalie
Michaud, Henri-Alexandre
A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
title A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
title_full A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
title_fullStr A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
title_full_unstemmed A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
title_short A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
title_sort 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9893499/
https://www.ncbi.nlm.nih.gov/pubmed/36741363
http://dx.doi.org/10.3389/fimmu.2022.1011617
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