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Picturing of the lung tumor cellular composition by multispectral flow cytometry
- The lung tumor microenvironment plays a critical role in the tumorigenesis and metastasis of lung cancer, resulting from the crosstalk between cancer cells and microenvironmental cells. Therefore, comprehensive identification and characterization of cell populations in the complex lung structure is crucial for development of novel targeted anti-cancer therapies. Here, a hierarchical clustering approach with multispectral flow cytometry was established to delineate the cellular landscape of murine lungs under steady-state and cancer conditions. Fluorochromes were used multiple times to be able to measure 24 cell surface markers with only 13 detectors, yielding a broad picture for whole-lung phenotyping. Primary and metastatic murine lung tumor models were included to detect major cell populations in the lung, and to identify alterations to the distribution patterns in these models. In the primary tumor models, major altered populations included CD324+ epithelial cells, alveolar macrophages, dendritic cells, and blood and lymph endothelial cells. The number of fibroblasts, vascular smooth muscle cells, monocytes (Ly6C+ and Ly6C–) and neutrophils were elevated in metastatic models of lung cancer. Thus, the proposed clustering approach is a promising method to resolve cell populations from complex organs in detail even with basic flow cytometers.
Author: | Catherine OleschORCiDGND, David BrunnGND, Öznur Aktay-Cetin, Evelyn Nicole Joy Sirait-FischerORCiDGND, Soni PullamsettiORCiDGND, Friedrich GrimmingerORCiDGND, Werner SeegerORCiDGND, Bernhard BrüneORCiD, Andreas WeigertORCiDGND, Rajkumar SavaiORCiDGND |
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URN: | urn:nbn:de:hebis:30:3-743092 |
DOI: | https://doi.org/10.3389/fimmu.2022.827719 |
ISSN: | 1664-3224 |
Parent Title (English): | Frontiers in immunology |
Publisher: | Frontiers Media |
Place of publication: | Lausanne |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2022/01/25 |
Date of first Publication: | 2022/01/25 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2023/06/21 |
Tag: | hierarchical clustering; lung cancer; lung tumor heterogeneity; multispectral flow cytometry; tumor microenvironment |
Volume: | 13 |
Issue: | art. 827719 |
Article Number: | 827719 |
Page Number: | 13 |
First Page: | 1 |
Last Page: | 13 |
Note: | This work was supported by Deutsche Krebshilfe (70112451), Deutsche Forschungsgemeinschaft (FOR 2438, TP8, SFB 1039, TP B04 and B06, GRK 2336, TP1 and 6, SFB 1213 TPA01, A05, and A10), Wilhelm-Sander Foundation (2019.082.01) and the LOEWE Center Frankfurt Cancer Institute (FCI) funded by the Hessen State Ministry for Higher Education, Research and the Arts [III L 5 - 519/03/03.001 - (0015)]. Further support was received from the Max Planck Society, Cardio-Pulmonary Institute (CPI), the German Center for Lung Research (DZL) and European Research Council (ERC) Consolidator Grant (#866051 to SSP). |
HeBIS-PPN: | 510031757 |
Institutes: | Biochemie, Chemie und Pharmazie |
Medizin | |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |