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Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia

Hypoxia, or oxygen deficiency, is known to be associated with breast tumour progression, resistance to conventional therapies and poor clinical prognosis. The epithelial-mesenchymal transition (EMT) is a process that confers invasive and migratory capabilities as well as stem cell properties to carc...

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Autores principales: Dhawan, Andrew, Madani Tonekaboni, Seyed Ali, Taube, Joseph H., Hu, Stephen, Sphyris, Nathalie, Mani, Sendurai A., Kohandel, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738268/
https://www.ncbi.nlm.nih.gov/pubmed/26838463
http://dx.doi.org/10.1038/srep18074
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author Dhawan, Andrew
Madani Tonekaboni, Seyed Ali
Taube, Joseph H.
Hu, Stephen
Sphyris, Nathalie
Mani, Sendurai A.
Kohandel, Mohammad
author_facet Dhawan, Andrew
Madani Tonekaboni, Seyed Ali
Taube, Joseph H.
Hu, Stephen
Sphyris, Nathalie
Mani, Sendurai A.
Kohandel, Mohammad
author_sort Dhawan, Andrew
collection PubMed
description Hypoxia, or oxygen deficiency, is known to be associated with breast tumour progression, resistance to conventional therapies and poor clinical prognosis. The epithelial-mesenchymal transition (EMT) is a process that confers invasive and migratory capabilities as well as stem cell properties to carcinoma cells thus promoting metastatic progression. In this work, we examined the impact of hypoxia on EMT-associated cancer stem cell (CSC) properties, by culturing transformed human mammary epithelial cells under normoxic and hypoxic conditions, and applying in silico mathematical modelling to simulate the impact of hypoxia on the acquisition of CSC attributes and the transitions between differentiated and stem-like states. Our results indicate that both the heterogeneity and the plasticity of the transformed cell population are enhanced by exposure to hypoxia, resulting in a shift towards a more stem-like population with increased EMT features. Our findings are further reinforced by gene expression analyses demonstrating the upregulation of EMT-related genes, as well as genes associated with therapy resistance, in hypoxic cells compared to normoxic counterparts. In conclusion, we demonstrate that mathematical modelling can be used to simulate the role of hypoxia as a key contributor to the plasticity and heterogeneity of transformed human mammary epithelial cells.
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spelling pubmed-47382682016-02-09 Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia Dhawan, Andrew Madani Tonekaboni, Seyed Ali Taube, Joseph H. Hu, Stephen Sphyris, Nathalie Mani, Sendurai A. Kohandel, Mohammad Sci Rep Article Hypoxia, or oxygen deficiency, is known to be associated with breast tumour progression, resistance to conventional therapies and poor clinical prognosis. The epithelial-mesenchymal transition (EMT) is a process that confers invasive and migratory capabilities as well as stem cell properties to carcinoma cells thus promoting metastatic progression. In this work, we examined the impact of hypoxia on EMT-associated cancer stem cell (CSC) properties, by culturing transformed human mammary epithelial cells under normoxic and hypoxic conditions, and applying in silico mathematical modelling to simulate the impact of hypoxia on the acquisition of CSC attributes and the transitions between differentiated and stem-like states. Our results indicate that both the heterogeneity and the plasticity of the transformed cell population are enhanced by exposure to hypoxia, resulting in a shift towards a more stem-like population with increased EMT features. Our findings are further reinforced by gene expression analyses demonstrating the upregulation of EMT-related genes, as well as genes associated with therapy resistance, in hypoxic cells compared to normoxic counterparts. In conclusion, we demonstrate that mathematical modelling can be used to simulate the role of hypoxia as a key contributor to the plasticity and heterogeneity of transformed human mammary epithelial cells. Nature Publishing Group 2016-02-03 /pmc/articles/PMC4738268/ /pubmed/26838463 http://dx.doi.org/10.1038/srep18074 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Dhawan, Andrew
Madani Tonekaboni, Seyed Ali
Taube, Joseph H.
Hu, Stephen
Sphyris, Nathalie
Mani, Sendurai A.
Kohandel, Mohammad
Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
title Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
title_full Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
title_fullStr Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
title_full_unstemmed Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
title_short Mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
title_sort mathematical modelling of phenotypic plasticity and conversion to a stem-cell state under hypoxia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738268/
https://www.ncbi.nlm.nih.gov/pubmed/26838463
http://dx.doi.org/10.1038/srep18074
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