Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.

<h4>Background</h4>High proliferative and differentiation capacity renders embryonic stem cells (ESCs) a promising cell source for tissue engineering and cell-based therapies. Harnessing their potential, however, requires well-designed, efficient and reproducible expansion and differenti...

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Autores principales: David Yeo, Alexandros Kiparissides, Jae Min Cha, Cristobal Aguilar-Gallardo, Julia M Polak, Elefterios Tsiridis, Efstratios N Pistikopoulos, Athanasios Mantalaris
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:850871e5eb4b4e51889135931431e1cd2021-11-18T08:42:44ZImproving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.1932-620310.1371/journal.pone.0081728https://doaj.org/article/850871e5eb4b4e51889135931431e1cd2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24339957/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>High proliferative and differentiation capacity renders embryonic stem cells (ESCs) a promising cell source for tissue engineering and cell-based therapies. Harnessing their potential, however, requires well-designed, efficient and reproducible expansion and differentiation protocols as well as avoiding hazardous by-products, such as teratoma formation. Traditional, standard culture methodologies are fragmented and limited in their fed-batch feeding strategies that afford a sub-optimal environment for cellular metabolism. Herein, we investigate the impact of metabolic stress as a result of inefficient feeding utilizing a novel perfusion bioreactor and a mathematical model to achieve bioprocess improvement.<h4>Methodology/principal findings</h4>To characterize nutritional requirements, the expansion of undifferentiated murine ESCs (mESCs) encapsulated in hydrogels was performed in batch and perfusion cultures using bioreactors. Despite sufficient nutrient and growth factor provision, the accumulation of inhibitory metabolites resulted in the unscheduled differentiation of mESCs and a decline in their cell numbers in the batch cultures. In contrast, perfusion cultures maintained metabolite concentration below toxic levels, resulting in the robust expansion (>16-fold) of high quality 'naïve' mESCs within 4 days. A multi-scale mathematical model describing population segregated growth kinetics, metabolism and the expression of selected pluripotency ('stemness') genes was implemented to maximize information from available experimental data. A global sensitivity analysis (GSA) was employed that identified significant (6/29) model parameters and enabled model validation. Predicting the preferential propagation of undifferentiated ESCs in perfusion culture conditions demonstrates synchrony between theory and experiment.<h4>Conclusions/significance</h4>The limitations of batch culture highlight the importance of cellular metabolism in maintaining pluripotency, which necessitates the design of suitable ESC bioprocesses. We propose a novel investigational framework that integrates a novel perfusion culture platform (controlled metabolic conditions) with mathematical modeling (information maximization) to enhance ESC bioprocess productivity and facilitate bioprocess optimization.David YeoAlexandros KiparissidesJae Min ChaCristobal Aguilar-GallardoJulia M PolakElefterios TsiridisEfstratios N PistikopoulosAthanasios MantalarisPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 12, p e81728 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
David Yeo
Alexandros Kiparissides
Jae Min Cha
Cristobal Aguilar-Gallardo
Julia M Polak
Elefterios Tsiridis
Efstratios N Pistikopoulos
Athanasios Mantalaris
Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.
description <h4>Background</h4>High proliferative and differentiation capacity renders embryonic stem cells (ESCs) a promising cell source for tissue engineering and cell-based therapies. Harnessing their potential, however, requires well-designed, efficient and reproducible expansion and differentiation protocols as well as avoiding hazardous by-products, such as teratoma formation. Traditional, standard culture methodologies are fragmented and limited in their fed-batch feeding strategies that afford a sub-optimal environment for cellular metabolism. Herein, we investigate the impact of metabolic stress as a result of inefficient feeding utilizing a novel perfusion bioreactor and a mathematical model to achieve bioprocess improvement.<h4>Methodology/principal findings</h4>To characterize nutritional requirements, the expansion of undifferentiated murine ESCs (mESCs) encapsulated in hydrogels was performed in batch and perfusion cultures using bioreactors. Despite sufficient nutrient and growth factor provision, the accumulation of inhibitory metabolites resulted in the unscheduled differentiation of mESCs and a decline in their cell numbers in the batch cultures. In contrast, perfusion cultures maintained metabolite concentration below toxic levels, resulting in the robust expansion (>16-fold) of high quality 'naïve' mESCs within 4 days. A multi-scale mathematical model describing population segregated growth kinetics, metabolism and the expression of selected pluripotency ('stemness') genes was implemented to maximize information from available experimental data. A global sensitivity analysis (GSA) was employed that identified significant (6/29) model parameters and enabled model validation. Predicting the preferential propagation of undifferentiated ESCs in perfusion culture conditions demonstrates synchrony between theory and experiment.<h4>Conclusions/significance</h4>The limitations of batch culture highlight the importance of cellular metabolism in maintaining pluripotency, which necessitates the design of suitable ESC bioprocesses. We propose a novel investigational framework that integrates a novel perfusion culture platform (controlled metabolic conditions) with mathematical modeling (information maximization) to enhance ESC bioprocess productivity and facilitate bioprocess optimization.
format article
author David Yeo
Alexandros Kiparissides
Jae Min Cha
Cristobal Aguilar-Gallardo
Julia M Polak
Elefterios Tsiridis
Efstratios N Pistikopoulos
Athanasios Mantalaris
author_facet David Yeo
Alexandros Kiparissides
Jae Min Cha
Cristobal Aguilar-Gallardo
Julia M Polak
Elefterios Tsiridis
Efstratios N Pistikopoulos
Athanasios Mantalaris
author_sort David Yeo
title Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.
title_short Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.
title_full Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.
title_fullStr Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.
title_full_unstemmed Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design.
title_sort improving embryonic stem cell expansion through the combination of perfusion and bioprocess model design.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/850871e5eb4b4e51889135931431e1cd
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