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A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions
BACKGROUND: Mechanical and biophysical properties of the cellular microenvironment regulate cell fate decisions. Mesenchymal stem cell (MSC) fate is influenced by past mechanical dosing (memory), but the mechanisms underlying this process have not yet been well defined. We have yet to understand how...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434622/ https://www.ncbi.nlm.nih.gov/pubmed/28511648 http://dx.doi.org/10.1186/s12918-017-0429-x |
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author | Peng, Tao Liu, Linan MacLean, Adam L Wong, Chi Wut Zhao, Weian Nie, Qing |
author_facet | Peng, Tao Liu, Linan MacLean, Adam L Wong, Chi Wut Zhao, Weian Nie, Qing |
author_sort | Peng, Tao |
collection | PubMed |
description | BACKGROUND: Mechanical and biophysical properties of the cellular microenvironment regulate cell fate decisions. Mesenchymal stem cell (MSC) fate is influenced by past mechanical dosing (memory), but the mechanisms underlying this process have not yet been well defined. We have yet to understand how memory affects specific cell fate decisions, such as the differentiation of MSCs into neurons, adipocytes, myocytes, and osteoblasts. RESULTS: We study a minimal gene regulatory network permissive of multi-lineage MSC differentiation into four cell fates. We present a continuous model that is able to describe the cell fate transitions that occur during differentiation, and analyze its dynamics with tools from multistability, bifurcation, and cell fate landscape analysis, and via stochastic simulation. Whereas experimentally, memory has only been observed during osteogenic differentiation, this model predicts that memory regions can exist for each of the four MSC-derived cell lineages. We can predict the substrate stiffness ranges over which memory drives differentiation; these are directly testable in an experimental setting. Furthermore, we quantitatively predict how substrate stiffness and culture duration co-regulate the fate of a stem cell, and we find that the feedbacks from the differentiating MSC onto its substrate are critical to preserve mechanical memory. Strikingly, we show that re-seeding MSCs onto a sufficiently soft substrate increases the number of cell fates accessible. CONCLUSIONS: Control of MSC differentiation is crucial for the success of much-lauded regenerative therapies based on MSCs. We have predicted new memory regions that will directly impact this control, and have quantified the size of the memory region for osteoblasts, as well as the co-regulatory effects on cell fates of substrate stiffness and culture duration. Taken together, these results can be used to develop novel strategies to better control the fates of MSCs in vitro and following transplantation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0429-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5434622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54346222017-05-18 A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions Peng, Tao Liu, Linan MacLean, Adam L Wong, Chi Wut Zhao, Weian Nie, Qing BMC Syst Biol Research Article BACKGROUND: Mechanical and biophysical properties of the cellular microenvironment regulate cell fate decisions. Mesenchymal stem cell (MSC) fate is influenced by past mechanical dosing (memory), but the mechanisms underlying this process have not yet been well defined. We have yet to understand how memory affects specific cell fate decisions, such as the differentiation of MSCs into neurons, adipocytes, myocytes, and osteoblasts. RESULTS: We study a minimal gene regulatory network permissive of multi-lineage MSC differentiation into four cell fates. We present a continuous model that is able to describe the cell fate transitions that occur during differentiation, and analyze its dynamics with tools from multistability, bifurcation, and cell fate landscape analysis, and via stochastic simulation. Whereas experimentally, memory has only been observed during osteogenic differentiation, this model predicts that memory regions can exist for each of the four MSC-derived cell lineages. We can predict the substrate stiffness ranges over which memory drives differentiation; these are directly testable in an experimental setting. Furthermore, we quantitatively predict how substrate stiffness and culture duration co-regulate the fate of a stem cell, and we find that the feedbacks from the differentiating MSC onto its substrate are critical to preserve mechanical memory. Strikingly, we show that re-seeding MSCs onto a sufficiently soft substrate increases the number of cell fates accessible. CONCLUSIONS: Control of MSC differentiation is crucial for the success of much-lauded regenerative therapies based on MSCs. We have predicted new memory regions that will directly impact this control, and have quantified the size of the memory region for osteoblasts, as well as the co-regulatory effects on cell fates of substrate stiffness and culture duration. Taken together, these results can be used to develop novel strategies to better control the fates of MSCs in vitro and following transplantation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-017-0429-x) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-16 /pmc/articles/PMC5434622/ /pubmed/28511648 http://dx.doi.org/10.1186/s12918-017-0429-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Peng, Tao Liu, Linan MacLean, Adam L Wong, Chi Wut Zhao, Weian Nie, Qing A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
title | A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
title_full | A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
title_fullStr | A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
title_full_unstemmed | A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
title_short | A mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
title_sort | mathematical model of mechanotransduction reveals how mechanical memory regulates mesenchymal stem cell fate decisions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434622/ https://www.ncbi.nlm.nih.gov/pubmed/28511648 http://dx.doi.org/10.1186/s12918-017-0429-x |
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