A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration

In most tissue engineering applications, understanding the factors affecting the growth dynamics of coculture systems is crucial for directing the population toward a desirable regenerative process. Yet, no comprehensive analysis method exists to quantify coculture population dynamics, let alone, a...

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Main Authors: Wang, Yao, Bronshtein, Tomer, Sarig, Udi, Nguyen, Evelyne Bao-Vi, Boey, Freddy Yin Chiang, Venkatraman, Subbu S., Machluf, Marcelle
Other Authors: School of Materials Science & Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/104532
http://hdl.handle.net/10220/17014
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1045322023-07-14T15:44:54Z A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration Wang, Yao Bronshtein, Tomer Sarig, Udi Nguyen, Evelyne Bao-Vi Boey, Freddy Yin Chiang Venkatraman, Subbu S. Machluf, Marcelle School of Materials Science & Engineering DRNTU::Science::Medicine::Tissue engineering In most tissue engineering applications, understanding the factors affecting the growth dynamics of coculture systems is crucial for directing the population toward a desirable regenerative process. Yet, no comprehensive analysis method exists to quantify coculture population dynamics, let alone, a unifying model addressing the “environmental” factors influencing cell growth, all together. Here we suggest a modification of the Lotka-Volterra model to analyze the population dynamics of cocultured cells and predict their growth profiles for tissue engineering applications. This model, commonly used to describe the population dynamics of a prey and predator sharing a closed ecological niche, was found to fit our empirical data on cocultures of endothelial cells (ECs) and mesenchymal stem cells (MSCs) that have been widely investigated for their regenerative potential. Applying this model to cocultures of this sort allows us to quantify the effect that culturing conditions have on the way cell growth is affected by the same cells or by the other cells in the coculture. We found that in most cases, EC growth was inhibited by the same cells but promoted by MSCs. The principles resulting from this analysis can be used in various applications to guide the population toward a desired direction while shedding new light on the fundamental interactions between ECs and MSCs. Similar results were also demonstrated on complex substrates made from decellularized porcine cardiac extracellular matrix, where growth occurred only after coculturing ECs and MSCs together. Finally, this unique implementation of the Lotka-Volterra model may also be regarded as a roadmap for using such models with other potentially regenerative cocultures in various applications. Published Version 2013-10-30T01:41:29Z 2019-12-06T21:34:40Z 2013-10-30T01:41:29Z 2019-12-06T21:34:40Z 2013 2013 Journal Article Wang, Y., Bronshtein, T., Sarig, U., Nguyen, E. B.-V., Boey, F. Y. C., Venkatraman, S. S., et al. (2013). A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration. Tissue engineering part A, 19(9-10), 1155-1164. https://hdl.handle.net/10356/104532 http://hdl.handle.net/10220/17014 10.1089/ten.tea.2012.0507 23216214 en Tissue engineering part A © 2013 Mary Ann Liebert, Inc. This paper was published in Tissue Engineering - Part A and is made available as an electronic reprint (preprint) with permission of Mary Ann Liebert, Inc. The paper can be found at the following official DOI: [http://dx.doi.oeg/10.1089/ten.tea.2012.0507]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Medicine::Tissue engineering
spellingShingle DRNTU::Science::Medicine::Tissue engineering
Wang, Yao
Bronshtein, Tomer
Sarig, Udi
Nguyen, Evelyne Bao-Vi
Boey, Freddy Yin Chiang
Venkatraman, Subbu S.
Machluf, Marcelle
A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
description In most tissue engineering applications, understanding the factors affecting the growth dynamics of coculture systems is crucial for directing the population toward a desirable regenerative process. Yet, no comprehensive analysis method exists to quantify coculture population dynamics, let alone, a unifying model addressing the “environmental” factors influencing cell growth, all together. Here we suggest a modification of the Lotka-Volterra model to analyze the population dynamics of cocultured cells and predict their growth profiles for tissue engineering applications. This model, commonly used to describe the population dynamics of a prey and predator sharing a closed ecological niche, was found to fit our empirical data on cocultures of endothelial cells (ECs) and mesenchymal stem cells (MSCs) that have been widely investigated for their regenerative potential. Applying this model to cocultures of this sort allows us to quantify the effect that culturing conditions have on the way cell growth is affected by the same cells or by the other cells in the coculture. We found that in most cases, EC growth was inhibited by the same cells but promoted by MSCs. The principles resulting from this analysis can be used in various applications to guide the population toward a desired direction while shedding new light on the fundamental interactions between ECs and MSCs. Similar results were also demonstrated on complex substrates made from decellularized porcine cardiac extracellular matrix, where growth occurred only after coculturing ECs and MSCs together. Finally, this unique implementation of the Lotka-Volterra model may also be regarded as a roadmap for using such models with other potentially regenerative cocultures in various applications.
author2 School of Materials Science & Engineering
author_facet School of Materials Science & Engineering
Wang, Yao
Bronshtein, Tomer
Sarig, Udi
Nguyen, Evelyne Bao-Vi
Boey, Freddy Yin Chiang
Venkatraman, Subbu S.
Machluf, Marcelle
format Article
author Wang, Yao
Bronshtein, Tomer
Sarig, Udi
Nguyen, Evelyne Bao-Vi
Boey, Freddy Yin Chiang
Venkatraman, Subbu S.
Machluf, Marcelle
author_sort Wang, Yao
title A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
title_short A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
title_full A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
title_fullStr A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
title_full_unstemmed A mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
title_sort mathematical model predicting the coculture dynamics of endothelial and mesenchymal stem cells for tissue regeneration
publishDate 2013
url https://hdl.handle.net/10356/104532
http://hdl.handle.net/10220/17014
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