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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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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 |
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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 |
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