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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
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.
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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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