Multimodal single-cell analysis reveals distinct radioresistant stem-like and progenitor cell populations in murine glioma.

SP analysis glioma glioma stem cells myeloid cells radiation response radioresistance single-cell RNA sequencing

Journal

Glia
ISSN: 1098-1136
Titre abrégé: Glia
Pays: United States
ID NLM: 8806785

Informations de publication

Date de publication:
12 2020
Historique:
received: 01 03 2020
revised: 30 04 2020
accepted: 17 05 2020
pubmed: 6 7 2020
medline: 15 12 2021
entrez: 5 7 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32621641
doi: 10.1002/glia.23866
pmc: PMC7586969
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2486-2502

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA223531
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG000035
Pays : United States

Informations de copyright

© 2020 The Authors. Glia published by Wiley Periodicals LLC.

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Auteurs

Jes Alexander (J)

Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Department of Radiation Oncology, University of Washington School of Medicine, Seattle, Washington, USA.

Quincey C LaPlant (QC)

Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Siobhan S Pattwell (SS)

Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.

Frank Szulzewsky (F)

Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.

Patrick J Cimino (PJ)

Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.

Francesca P Caruso (FP)

Dipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Benevento, Italy.
Bioinformatics Lab, BIOGEM, Ariano Irpino, Italy.

Pietro Pugliese (P)

Dipartimento di Scienze e Tecnologie, Università degli Studi del Sannio, Benevento, Italy.
Bioinformatics Lab, BIOGEM, Ariano Irpino, Italy.

Zhihong Chen (Z)

Department of Oncological Sciences, Tisch Cancer Institute, and Department of Neurosurgery, Mount Sinai Icahn School of Medicine, New York, New York, USA.

Florence Chardon (F)

Department of Genome Sciences, University of Washington, Seattle, Washington, USA.

Andrew J Hill (AJ)

Department of Genome Sciences, University of Washington, Seattle, Washington, USA.

Cailyn Spurrell (C)

Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA.

Dakota Ahrendsen (D)

Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA.

Alexander Pietras (A)

Division of Translational Cancer Research, Lund University, Lund, Sweden.

Lea M Starita (LM)

Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA.

Dolores Hambardzumyan (D)

Department of Oncological Sciences, Tisch Cancer Institute, and Department of Neurosurgery, Mount Sinai Icahn School of Medicine, New York, New York, USA.

Antonio Iavarone (A)

Institute for Cancer Genetics, Department of Neurology, Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York, USA.

Jay Shendure (J)

Department of Genome Sciences, University of Washington, Seattle, Washington, USA.
Brotman Baty Institute for Precision Medicine, Seattle, Washington, USA.
Allen Discovery Center for Cell Lineage, Seattle, Washington, USA.
Howard Hughes Medical Institute, University of Washington, Seattle, Washington, USA.

Eric C Holland (EC)

Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.

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Classifications MeSH