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

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

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.

Detaljer

Författare
  • Jes Alexander
  • Quincey C. LaPlant
  • Siobhan S. Pattwell
  • Frank Szulzewsky
  • Patrick J. Cimino
  • Francesca P. Caruso
  • Pietro Pugliese
  • Zhihong Chen
  • Florence Chardon
  • Andrew J. Hill
  • Cailyn Spurrell
  • Dakota Ahrendsen
  • Alexander Pietras
  • Lea M. Starita
  • Dolores Hambardzumyan
  • Antonio Iavarone
  • Jay Shendure
  • Eric C. Holland
Enheter & grupper
Externa organisationer
  • University of Washington
  • Memorial Sloan-Kettering Cancer Center
  • Fred Hutchinson Cancer Research Center
  • University of Sannio
  • Icahn School of Medicine at Mount Sinai
  • Columbia University
  • Biogem
  • Brotman Baty Institute
  • Allen Discovery Center for Cell Lineage Tracing
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Cancer och onkologi
  • Cell- och molekylärbiologi

Nyckelord

Originalspråkengelska
TidskriftGLIA
StatusE-pub ahead of print - 2020 jul 4
PublikationskategoriForskning
Peer review utfördJa