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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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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. |
format | Online Article Text |
id | pubmed-8235132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
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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