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High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling

To harness the full potential of human pluripotent stem cells (hPSCs) we combined instrumented stirred tank bioreactor (STBR) technology with the power of in silico process modeling to overcome substantial, hPSC‐specific hurdles toward their mass production. Perfused suspension culture (3D) of matri...

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Autores principales: Manstein, Felix, Ullmann, Kevin, Kropp, Christina, Halloin, Caroline, Triebert, Wiebke, Franke, Annika, Farr, Clara‐Milena, Sahabian, Anais, Haase, Alexandra, Breitkreuz, Yannik, Peitz, Michael, Brüstle, Oliver, Kalies, Stefan, Martin, Ulrich, Olmer, Ruth, Zweigerdt, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235132/
https://www.ncbi.nlm.nih.gov/pubmed/33660952
http://dx.doi.org/10.1002/sctm.20-0453
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author Manstein, Felix
Ullmann, Kevin
Kropp, Christina
Halloin, Caroline
Triebert, Wiebke
Franke, Annika
Farr, Clara‐Milena
Sahabian, Anais
Haase, Alexandra
Breitkreuz, Yannik
Peitz, Michael
Brüstle, Oliver
Kalies, Stefan
Martin, Ulrich
Olmer, Ruth
Zweigerdt, Robert
author_facet Manstein, Felix
Ullmann, Kevin
Kropp, Christina
Halloin, Caroline
Triebert, Wiebke
Franke, Annika
Farr, Clara‐Milena
Sahabian, Anais
Haase, Alexandra
Breitkreuz, Yannik
Peitz, Michael
Brüstle, Oliver
Kalies, Stefan
Martin, Ulrich
Olmer, Ruth
Zweigerdt, Robert
author_sort Manstein, Felix
collection PubMed
description To harness the full potential of human pluripotent stem cells (hPSCs) we combined instrumented stirred tank bioreactor (STBR) technology with the power of in silico process modeling to overcome substantial, hPSC‐specific hurdles toward their mass production. Perfused suspension culture (3D) of matrix‐free hPSC aggregates in STBRs was applied to identify and control process‐limiting parameters including pH, dissolved oxygen, glucose and lactate levels, and the obviation of osmolality peaks provoked by high density culture. Media supplements promoted single cell‐based process inoculation and hydrodynamic aggregate size control. Wet lab‐derived process characteristics enabled predictive in silico modeling as a new rational for hPSC cultivation. Consequently, hPSC line‐independent maintenance of exponential cell proliferation was achieved. The strategy yielded 70‐fold cell expansion in 7 days achieving an unmatched density of 35 × 10(6) cells/mL equivalent to 5.25 billion hPSC in 150 mL scale while pluripotency, differentiation potential, and karyotype stability was maintained. In parallel, media requirements were reduced by 75% demonstrating the outstanding increase in efficiency. Minimal input to our in silico model accurately predicts all main process parameters; combined with calculation‐controlled hPSC aggregation kinetics, linear process upscaling is also enabled and demonstrated for up to 500 mL scale in an independent bioreactor system. Thus, by merging applied stem cell research with recent knowhow from industrial cell fermentation, a new level of hPSC bioprocessing is revealed fueling their automated production for industrial and therapeutic applications.
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spelling pubmed-82351322021-06-29 High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling Manstein, Felix Ullmann, Kevin Kropp, Christina Halloin, Caroline Triebert, Wiebke Franke, Annika Farr, Clara‐Milena Sahabian, Anais Haase, Alexandra Breitkreuz, Yannik Peitz, Michael Brüstle, Oliver Kalies, Stefan Martin, Ulrich Olmer, Ruth Zweigerdt, Robert Stem Cells Transl Med Manufacturing for Regenerative Medicine To harness the full potential of human pluripotent stem cells (hPSCs) we combined instrumented stirred tank bioreactor (STBR) technology with the power of in silico process modeling to overcome substantial, hPSC‐specific hurdles toward their mass production. Perfused suspension culture (3D) of matrix‐free hPSC aggregates in STBRs was applied to identify and control process‐limiting parameters including pH, dissolved oxygen, glucose and lactate levels, and the obviation of osmolality peaks provoked by high density culture. Media supplements promoted single cell‐based process inoculation and hydrodynamic aggregate size control. Wet lab‐derived process characteristics enabled predictive in silico modeling as a new rational for hPSC cultivation. Consequently, hPSC line‐independent maintenance of exponential cell proliferation was achieved. The strategy yielded 70‐fold cell expansion in 7 days achieving an unmatched density of 35 × 10(6) cells/mL equivalent to 5.25 billion hPSC in 150 mL scale while pluripotency, differentiation potential, and karyotype stability was maintained. In parallel, media requirements were reduced by 75% demonstrating the outstanding increase in efficiency. Minimal input to our in silico model accurately predicts all main process parameters; combined with calculation‐controlled hPSC aggregation kinetics, linear process upscaling is also enabled and demonstrated for up to 500 mL scale in an independent bioreactor system. Thus, by merging applied stem cell research with recent knowhow from industrial cell fermentation, a new level of hPSC bioprocessing is revealed fueling their automated production for industrial and therapeutic applications. John Wiley & Sons, Inc. 2021-03-04 /pmc/articles/PMC8235132/ /pubmed/33660952 http://dx.doi.org/10.1002/sctm.20-0453 Text en © 2021 The Authors. stem cells translational medicine published by Wiley Periodicals LLC on behalf of AlphaMed Press. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Manufacturing for Regenerative Medicine
Manstein, Felix
Ullmann, Kevin
Kropp, Christina
Halloin, Caroline
Triebert, Wiebke
Franke, Annika
Farr, Clara‐Milena
Sahabian, Anais
Haase, Alexandra
Breitkreuz, Yannik
Peitz, Michael
Brüstle, Oliver
Kalies, Stefan
Martin, Ulrich
Olmer, Ruth
Zweigerdt, Robert
High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
title High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
title_full High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
title_fullStr High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
title_full_unstemmed High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
title_short High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
title_sort high density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling
topic Manufacturing for Regenerative Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235132/
https://www.ncbi.nlm.nih.gov/pubmed/33660952
http://dx.doi.org/10.1002/sctm.20-0453
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