Cargando…

Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification

Dysregulation of tyrosine kinase receptor (RTK) signaling pathways play important roles in glioblastoma (GBM). However, therapies targeting these signaling pathways have not been successful, partially because of drug resistance. Increasing evidence suggests that tumor heterogeneity, more specificall...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Si, Le, Thien, Harley, Brendan A. C., Imoukhuede, P. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050407/
https://www.ncbi.nlm.nih.gov/pubmed/30050899
http://dx.doi.org/10.3389/fbioe.2018.00092
_version_ 1783340330110681088
author Chen, Si
Le, Thien
Harley, Brendan A. C.
Imoukhuede, P. I.
author_facet Chen, Si
Le, Thien
Harley, Brendan A. C.
Imoukhuede, P. I.
author_sort Chen, Si
collection PubMed
description Dysregulation of tyrosine kinase receptor (RTK) signaling pathways play important roles in glioblastoma (GBM). However, therapies targeting these signaling pathways have not been successful, partially because of drug resistance. Increasing evidence suggests that tumor heterogeneity, more specifically, GBM-associated stem and endothelial cell heterogeneity, may contribute to drug resistance. In this perspective article, we introduce a high-throughput, quantitative approach to profile plasma membrane RTKs on single cells. First, we review the roles of RTKs in cancer. Then, we discuss the sources of cell heterogeneity in GBM, providing context to the key cells directing resistance to drugs. Finally, we present our provisionally patented qFlow cytometry approach, and report results of a “proof of concept” patient-derived xenograft GBM study.
format Online
Article
Text
id pubmed-6050407
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-60504072018-07-26 Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification Chen, Si Le, Thien Harley, Brendan A. C. Imoukhuede, P. I. Front Bioeng Biotechnol Bioengineering and Biotechnology Dysregulation of tyrosine kinase receptor (RTK) signaling pathways play important roles in glioblastoma (GBM). However, therapies targeting these signaling pathways have not been successful, partially because of drug resistance. Increasing evidence suggests that tumor heterogeneity, more specifically, GBM-associated stem and endothelial cell heterogeneity, may contribute to drug resistance. In this perspective article, we introduce a high-throughput, quantitative approach to profile plasma membrane RTKs on single cells. First, we review the roles of RTKs in cancer. Then, we discuss the sources of cell heterogeneity in GBM, providing context to the key cells directing resistance to drugs. Finally, we present our provisionally patented qFlow cytometry approach, and report results of a “proof of concept” patient-derived xenograft GBM study. Frontiers Media S.A. 2018-07-11 /pmc/articles/PMC6050407/ /pubmed/30050899 http://dx.doi.org/10.3389/fbioe.2018.00092 Text en Copyright © 2018 Chen, Le, Harley and Imoukhuede. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Chen, Si
Le, Thien
Harley, Brendan A. C.
Imoukhuede, P. I.
Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification
title Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification
title_full Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification
title_fullStr Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification
title_full_unstemmed Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification
title_short Characterizing Glioblastoma Heterogeneity via Single-Cell Receptor Quantification
title_sort characterizing glioblastoma heterogeneity via single-cell receptor quantification
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6050407/
https://www.ncbi.nlm.nih.gov/pubmed/30050899
http://dx.doi.org/10.3389/fbioe.2018.00092
work_keys_str_mv AT chensi characterizingglioblastomaheterogeneityviasinglecellreceptorquantification
AT lethien characterizingglioblastomaheterogeneityviasinglecellreceptorquantification
AT harleybrendanac characterizingglioblastomaheterogeneityviasinglecellreceptorquantification
AT imoukhuedepi characterizingglioblastomaheterogeneityviasinglecellreceptorquantification