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Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma
Radiation therapy is part of the standard of care for gliomas and kills a subset of tumor cells, while also altering the tumor microenvironment. Tumor cells with stem‐like properties preferentially survive radiation and give rise to glioma recurrence. Various techniques for enriching and quantifying...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586969/ https://www.ncbi.nlm.nih.gov/pubmed/32621641 http://dx.doi.org/10.1002/glia.23866 |
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author | Alexander, Jes LaPlant, Quincey C. Pattwell, Siobhan S. Szulzewsky, Frank Cimino, Patrick J. Caruso, Francesca P. Pugliese, Pietro Chen, Zhihong Chardon, Florence Hill, Andrew J. Spurrell, Cailyn Ahrendsen, Dakota Pietras, Alexander Starita, Lea M. Hambardzumyan, Dolores Iavarone, Antonio Shendure, Jay Holland, Eric C. |
author_facet | Alexander, Jes LaPlant, Quincey C. Pattwell, Siobhan S. Szulzewsky, Frank Cimino, Patrick J. Caruso, Francesca P. Pugliese, Pietro Chen, Zhihong Chardon, Florence Hill, Andrew J. Spurrell, Cailyn Ahrendsen, Dakota Pietras, Alexander Starita, Lea M. Hambardzumyan, Dolores Iavarone, Antonio Shendure, Jay Holland, Eric C. |
author_sort | Alexander, Jes |
collection | PubMed |
description | Radiation therapy is part of the standard of care for gliomas and kills a subset of tumor cells, while also altering the tumor microenvironment. Tumor cells with stem‐like properties preferentially survive radiation and give rise to glioma recurrence. Various techniques for enriching and quantifying cells with stem‐like properties have been used, including the fluorescence activated cell sorting (FACS)‐based side population (SP) assay, which is a functional assay that enriches for stem‐like tumor cells. In these analyses, mouse models of glioma have been used to understand the biology of this disease and therapeutic responses, including the radiation response. We present combined SP analysis and single‐cell RNA sequencing of genetically‐engineered mouse models of glioma to show a time course of cellular response to radiation. We identify and characterize two distinct tumor cell populations that are inherently radioresistant and also distinct effects of radiation on immune cell populations within the tumor microenvironment. |
format | Online Article Text |
id | pubmed-7586969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75869692020-10-30 Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma Alexander, Jes LaPlant, Quincey C. Pattwell, Siobhan S. Szulzewsky, Frank Cimino, Patrick J. Caruso, Francesca P. Pugliese, Pietro Chen, Zhihong Chardon, Florence Hill, Andrew J. Spurrell, Cailyn Ahrendsen, Dakota Pietras, Alexander Starita, Lea M. Hambardzumyan, Dolores Iavarone, Antonio Shendure, Jay Holland, Eric C. Glia Research Articles Radiation therapy is part of the standard of care for gliomas and kills a subset of tumor cells, while also altering the tumor microenvironment. Tumor cells with stem‐like properties preferentially survive radiation and give rise to glioma recurrence. Various techniques for enriching and quantifying cells with stem‐like properties have been used, including the fluorescence activated cell sorting (FACS)‐based side population (SP) assay, which is a functional assay that enriches for stem‐like tumor cells. In these analyses, mouse models of glioma have been used to understand the biology of this disease and therapeutic responses, including the radiation response. We present combined SP analysis and single‐cell RNA sequencing of genetically‐engineered mouse models of glioma to show a time course of cellular response to radiation. We identify and characterize two distinct tumor cell populations that are inherently radioresistant and also distinct effects of radiation on immune cell populations within the tumor microenvironment. John Wiley & Sons, Inc. 2020-07-04 2020-12 /pmc/articles/PMC7586969/ /pubmed/32621641 http://dx.doi.org/10.1002/glia.23866 Text en © 2020 The Authors. Glia published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Alexander, Jes LaPlant, Quincey C. Pattwell, Siobhan S. Szulzewsky, Frank Cimino, Patrick J. Caruso, Francesca P. Pugliese, Pietro Chen, Zhihong Chardon, Florence Hill, Andrew J. Spurrell, Cailyn Ahrendsen, Dakota Pietras, Alexander Starita, Lea M. Hambardzumyan, Dolores Iavarone, Antonio Shendure, Jay Holland, Eric C. Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
title | Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
title_full | Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
title_fullStr | Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
title_full_unstemmed | Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
title_short | Multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
title_sort | multimodal single‐cell analysis reveals distinct radioresistant stem‐like and progenitor cell populations in murine glioma |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7586969/ https://www.ncbi.nlm.nih.gov/pubmed/32621641 http://dx.doi.org/10.1002/glia.23866 |
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