| Added by | Nathalie Bonnefoy |
|---|---|
| Group name | EquipeNB |
| Item Type | Journal Article |
| Title | A 31-plex panel for high-dimensional single-cell analysis of murine preclinical models of solid tumors by imaging mass cytometry |
| Creator | Glasson et al. |
| Author | Yaël Glasson |
| Author | Laure-Agnès Chépeaux |
| Author | Anne-Sophie Dumé |
| Author | Philippe Jay |
| Author | Nelly Pirot |
| Author | Nathalie Bonnefoy |
| Author | Henri-Alexandre Michaud |
| 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. |
| Publication | Frontiers in Immunology |
| Volume | 13 |
| Pages | 1011617 |
| Date | 2022 |
| Journal Abbr | Front Immunol |
| Language | eng |
| DOI | 10.3389/fimmu.2022.1011617 |
| ISSN | 1664-3224 |
| Library Catalog | PubMed |
| Extra | PMID: 36741363 PMCID: PMC9893499 |
| Tags | Animals, cellular network, corresponding, Disease Models, Animal, Ecosystem, first, high dimensional multiplexing, Humans, Image Cytometry, Imaging mass cytometry, immune signature, last, Mice, Neoplasms, original, preclinical mouse model, top |
| Date Added | 2023/11/15 - 10:25:45 |
| Date Modified | 2023/11/15 - 17:44:06 |
| Notes and Attachments | PubMed entry (Attachment) Texte intégral (Attachment) |
Institut de Recherche en Cancérologie de
