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Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype

Tissue and cancer stem cells are highly attractive target populations for regenerative medicine and novel potentially curative anticancer therapeutics. In order to get a better understanding of stem cell biology and function, it is essential to reproducibly identify these stem cells from biological...

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Detalles Bibliográficos
Autores principales: Boesch, Maximilian, Wolf, Dominik, Sopper, Sieghart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699066/
https://www.ncbi.nlm.nih.gov/pubmed/26798352
http://dx.doi.org/10.1155/2016/1652389
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author Boesch, Maximilian
Wolf, Dominik
Sopper, Sieghart
author_facet Boesch, Maximilian
Wolf, Dominik
Sopper, Sieghart
author_sort Boesch, Maximilian
collection PubMed
description Tissue and cancer stem cells are highly attractive target populations for regenerative medicine and novel potentially curative anticancer therapeutics. In order to get a better understanding of stem cell biology and function, it is essential to reproducibly identify these stem cells from biological samples for subsequent characterization or isolation. ABC drug transporter expression is a hallmark of stem cells. This is utilized to identify (cancer) stem cells by exploiting their dye extrusion properties, which is referred to as the “side population assay.” Initially described for high-end flow cytometers equipped with ultraviolet lasers, this technique is now also amenable for a broader scientific community, owing to the increasing availability of violet laser-furnished cytometers and the advent of DyeCycle Violet (DCV). Here, we describe important technical aspects of the DCV-based side population assay and discuss potential pitfalls and caveats helping scientists to establish a valid and reproducible DCV-based side population assay. In addition, we investigate the suitability of blue laser-excitable DyeCycle dyes for side population detection. This knowledge will help to improve and standardize detection and isolation of stem cells based on their expression of ABC drug transporters.
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spelling pubmed-46990662016-01-21 Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype Boesch, Maximilian Wolf, Dominik Sopper, Sieghart Stem Cells Int Research Article Tissue and cancer stem cells are highly attractive target populations for regenerative medicine and novel potentially curative anticancer therapeutics. In order to get a better understanding of stem cell biology and function, it is essential to reproducibly identify these stem cells from biological samples for subsequent characterization or isolation. ABC drug transporter expression is a hallmark of stem cells. This is utilized to identify (cancer) stem cells by exploiting their dye extrusion properties, which is referred to as the “side population assay.” Initially described for high-end flow cytometers equipped with ultraviolet lasers, this technique is now also amenable for a broader scientific community, owing to the increasing availability of violet laser-furnished cytometers and the advent of DyeCycle Violet (DCV). Here, we describe important technical aspects of the DCV-based side population assay and discuss potential pitfalls and caveats helping scientists to establish a valid and reproducible DCV-based side population assay. In addition, we investigate the suitability of blue laser-excitable DyeCycle dyes for side population detection. This knowledge will help to improve and standardize detection and isolation of stem cells based on their expression of ABC drug transporters. Hindawi Publishing Corporation 2016 2015-12-20 /pmc/articles/PMC4699066/ /pubmed/26798352 http://dx.doi.org/10.1155/2016/1652389 Text en Copyright © 2016 Maximilian Boesch et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Boesch, Maximilian
Wolf, Dominik
Sopper, Sieghart
Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype
title Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype
title_full Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype
title_fullStr Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype
title_full_unstemmed Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype
title_short Optimized Stem Cell Detection Using the DyeCycle-Triggered Side Population Phenotype
title_sort optimized stem cell detection using the dyecycle-triggered side population phenotype
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699066/
https://www.ncbi.nlm.nih.gov/pubmed/26798352
http://dx.doi.org/10.1155/2016/1652389
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