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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Felix Manstein
  • Kevin Ullmann
  • Christina Kropp
  • Caroline Halloin
  • Wiebke Triebert
  • Annika Franke
  • Clara Milena Farr
  • Anais Sahabian
  • Alexandra Haase
  • Yannik Breitkreuz
  • Michael Peitz
  • Oliver Brüstle
  • Stefan Kalies
  • Ulrich Martin
  • Ruth Olmer
  • Robert Zweigerdt

Research Organisations

External Research Organisations

  • Leibniz Research Laboratories for Biotechnology and Artificial Organs (LEBAO)
  • Hannover Medical School (MHH)
  • University of Bonn
  • NIFE - Lower Saxony Centre for Biomedical Engineering, Implant Research and Development
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Details

Original languageEnglish
Pages (from-to)1063-1080
Number of pages18
JournalStem cells translational medicine
Volume10
Issue number7
Early online date4 Mar 2021
Publication statusPublished - 26 Jun 2021

Abstract

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 × 106 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.

Keywords

    high density culture, human pluripotent stem cells, in silico process modeling, process scale-up, stirred tank bioreactor, suspension culture

ASJC Scopus subject areas

Cite this

High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling. / Manstein, Felix; Ullmann, Kevin; Kropp, Christina et al.
In: Stem cells translational medicine, Vol. 10, No. 7, 26.06.2021, p. 1063-1080.

Research output: Contribution to journalArticleResearchpeer review

Manstein, F, Ullmann, K, Kropp, C, Halloin, C, Triebert, W, Franke, A, Farr, CM, Sahabian, A, Haase, A, Breitkreuz, Y, Peitz, M, Brüstle, O, Kalies, S, Martin, U, Olmer, R & Zweigerdt, R 2021, 'High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling', Stem cells translational medicine, vol. 10, no. 7, pp. 1063-1080. https://doi.org/10.1002/sctm.20-0453
Manstein, F., Ullmann, K., Kropp, C., Halloin, C., Triebert, W., Franke, A., Farr, C. M., Sahabian, A., Haase, A., Breitkreuz, Y., Peitz, M., Brüstle, O., Kalies, S., Martin, U., Olmer, R., & Zweigerdt, R. (2021). High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling. Stem cells translational medicine, 10(7), 1063-1080. https://doi.org/10.1002/sctm.20-0453
Manstein F, Ullmann K, Kropp C, Halloin C, Triebert W, Franke A et al. High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling. Stem cells translational medicine. 2021 Jun 26;10(7):1063-1080. Epub 2021 Mar 4. doi: 10.1002/sctm.20-0453
Manstein, Felix ; Ullmann, Kevin ; Kropp, Christina et al. / High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling. In: Stem cells translational medicine. 2021 ; Vol. 10, No. 7. pp. 1063-1080.
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title = "High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling",
abstract = "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 × 106 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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T1 - High density bioprocessing of human pluripotent stem cells by metabolic control and in silico modeling

AU - Manstein, Felix

AU - Ullmann, Kevin

AU - Kropp, Christina

AU - Halloin, Caroline

AU - Triebert, Wiebke

AU - Franke, Annika

AU - Farr, Clara Milena

AU - Sahabian, Anais

AU - Haase, Alexandra

AU - Breitkreuz, Yannik

AU - Peitz, Michael

AU - Brüstle, Oliver

AU - Kalies, Stefan

AU - Martin, Ulrich

AU - Olmer, Ruth

AU - Zweigerdt, Robert

N1 - Funding Information: We would like to thank U. Rinas and T. Scheper from the Institute for Technical Chemistry, Leibniz University, Germany for providing FGF-2; A. Kirschning and G. Dr?ger from the Institute of Organic Chemistry, Leibniz University, Germany for providing Y-27632; T. Schlaeger from Boston Children's Hospital, Harvard Medical School, MA, United States for the idea of measuring aggregate density in a practical way; C. Thiele from the Institute of Reconstructive Neurobiology, University of Bonn Medical Faculty & University Hospital Bonn, Germany for the excellent technical support in neuroectodermal differentiations; G. G?hring and coworkers from the Institute for Human Genetics, Hannover Medical School, Germany for karyotyping; M. Wei? from the Institute for Technical Chemistry, Leibniz University, Germany for amino acid analysis. R.Z. received funding from: the German Research Foundation (DFG; Cluster of Excellence REBIRTH EXC 62/2, ZW64/4-1), the German Ministry for Education and Science (BMBF, grants: 13N14086, 01EK1601A, 01EK1602A), and the European Union H2020 program to the project TECHNOBEAT (grant 668724).

PY - 2021/6/26

Y1 - 2021/6/26

N2 - 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 × 106 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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