Design of cell expansion processes for adherent‐growing cells with mDoE‐workflow
Abstract
Adherent cells, mammalian or human, are ubiquitous for production of viral vaccines, in gene therapy and in immuno‐oncology. The development of a cell‐expansion process with adherent cells is challenging as scale‐up requires the expansion of the cell culture surface. Microcarrier (MC)‐based cultures are still predominate. However, the development of MC processes from scratch possesses particular challenges due to their complexity. A novel approach for the reduction of development times and costs of cell propagation processes is the combination of mathematical process models with statistical optimization methods, called model‐assisted Design of Experiments (mDoE). In this study, an mDoE workflow was evaluated successfully for the design of a MC‐based expansion process of adherent L929 cells at a very early stage of development with limited prior knowledge. At the start, the analytical methods and the screening of appropriate MCs were evaluated. Then, cause‐effect relationships (e.g., cell growth related to medium conditions) were worked out, and a mathematical process model was set‐up and adapted to experimental data for modeling purposes. The model was subsequently used in mDoE to identify optimized process conditions, which were proven experimentally. An eight‐fold increase in cell yield was achieved basically by reducing the initial MC concentration.
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“The distribution of the model simulations encompasses process knowledge, whereby broad or overlapping distributions may indicate uncharacterized effects, while narrower distributions usually represent well-understood phenomena [24].”
From Mechanistic model for HEK293 viral vector processes and its application in a digital shadow framework (2026) · cites this paper as [24]
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- [1]Merten O‐W. Advances in cell culture: anchorage dependence. Philosophical transactions of the Royal Society of London. Series B Biol Sci. 2015; 370: 20140040. PMC4275909 25533097
- [2]Goula A, Gkioka V, Michalopoulos E, Katsimpoulas M, et al. Advanced therapy medicinal products challenges and perspectives in regenerative medicine. J Clin Med Res. 2020; 12: 780‐ 786. 33447311 PMC7781285
- [3]Seoane‐Vazquez E, Shukla V, Rodriguez‐Monguio R. c. EMBO Mol Med. 2019: 11(3): e9992. 10.15252/emmm.201809992 30770338 PMC6404110 · DOI
- [4]Iglesias‐Lopez C, Agustí A, Vallano A, Obach M. Current landscape of clinical development and approval of advanced therapies. Mol Ther Methods Clin Dev. 2021; 23: 606‐ 618. 34901306 PMC8626628
- [5]Bellani CF, Ajeian J, Duffy L, Miotto M, et al. Scale‐up technologies for the manufacture of adherent cells. Frontiers in Nutrition. 2020; 7: 575146. 33251241 PMC7672005
- [6]Möller J, Pörtner R. Digital twins for tissue culture techniques—concepts, expectations, and state of the art. Processes. 2021; 9: 447.
- [7]Jossen V, Schirmer C, Mostafa Sindi D, Eibl R, et al. Theoretical and practical issues that are relevant when scaling up hMSC microcarrier production processes. Stem Cells Int. 2016; 2016: 4760414. 26981131 PMC4766353
- [8]Blüml G. Microcarrier Cell Culture Technology. In: Pörtner R, ed. Animal Cell Biotechnology: Methods and Protocols. Methods in Biotechnology. 2nd ed. Humana Press; 2007: 149‐ 178.
- [9]Chen X‐Y, Chen J‐Y, Tong X‐M, Mei J‐G, et al. Recent advances in the use of microcarriers for cell cultures and their ex vivo and in vivo applications. Biotechnol Lett. 2020; 42: 1‐ 10. 31602549
- [10]Derakhti S, Safiabadi‐Tali SH, Amoabediny G, Sheikhpour M. Attachment and detachment strategies in microcarrier‐based cell culture technology: a comprehensive review. Mater Sci Eng C Materials for Biological Appli. 2019; 103: 109782. 31349523
- [11]Li B, Wang X, Wang Y, Gou W, et al. Past, present, and future of microcarrier‐based tissue engineering. J Orthop Translat. 2015; 3: 51‐ 57. 30035040 PMC5982391
- [12]Trias E, Juan M, Urbano‐Ispizua A, Calvo G. The hospital exemption pathway for the approval of advanced therapy medicinal products: an underused opportunity? The case of the CAR‐T ARI‐0001. Bone Marrow Transplant. 2022; 57: 156‐ 159. 35046545 PMC8821008
- [13]Möller J, Kuchemüller KB, Steinmetz T, Koopmann KS, et al. Model‐assisted design of experiments as a concept for knowledge‐based bioprocess development. Bioprocess Biosyst Eng. 2019; 42: 867‐ 882. 30806781
- [14]Moser A, Kuchemüller KB, Deppe S, Hernández Rodríguez T, et al. Model‐assisted DoE software: optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses. Bioprocess Biosyst Eng. 2021; 44: 683‐ 700. 33471162 PMC7997827
- [15]Rafiq QA, Coopman K, Nienow AW, Hewitt CJ. Systematic microcarrier screening and agitated culture conditions improves human mesenchymal stem cell yield in bioreactors. Biotechnol J. 2015; 1: 473‐ 486. PMC4991290 26632496
- [16]He MYC, Stacker SA, Rossi R, Halford MM. Counting nuclei released from microcarrier‐based cultures using pro‐fluorescent nucleic acid stains and volumetric flow cytometry. BioTechniques. 2017; 63: 34‐ 36. 28701146
- [17]Myers MA. Direct measurement of cell numbers in microtitre plate cultures using the fluorescent dye SYBR green I. J Immunol Methods. 1998; 212: 99‐ 103. 9671157
- [18]Justice C, Leber J, Freimark D, Pino Grace P, et al. Online‐ and offline‐ monitoring of stem cell expansion on microcarrier. Cytotechnology. 2011; 63: 325‐ 335. 21562973 PMC3140841
- [19]Merten O‐W. Cell detachment. In: Flickinger M.C, ed. Encyclopedia of Industrial Biotechnology: Bioprocess, Bioseparation, and Cell Technology. John Wiley and Sons, Inc.; 2009: 1‐ 22. 10.1002/9780470054581.eib195 · DOI
- [20]Zagari F, Jordan M, Stettler M, Broly H, et al. Lactate metabolism shift in CHO cell culture: the role of mitochondrial oxidative activity. New Biotechnol. 2013; 30: 238‐ 245. 22683938
- [21]Möhler L, Bock A, Reichl U. Segregated mathematical model for growth of anchorage‐dependent MDCK cells in microcarrier culture. Biotechnol Progr. 2008; 24: 110‐ 119. 18171074
- [22]Frahm B, Lane P, Atzert H, Munack A, et al. Adaptive, model‐based control by the Open‐Loop‐Feedback‐Optimal (OLFO) controller for the effective fed‐batch cultivation of hybridoma cells. Biotechnol Progr. 2002; 18: 1095‐ 1103. 12363363
Cited by
Sorted by citations
Kuchemüller, K. B., Austerjost, J., Machleid, R., Roßkamp, A., Niemann, J., & McCready, C. (2026) · Bioprocess and Biosystems Engineering · doi:10.1007/s00449-026-03362-2
Self-citation
- Authors
- Kuchemüller, K. B., Pörtner, R., & Möller, J.
- Affiliations
- Bioprocess and Biosystems Engineering Hamburg University of Technology Hamburg Germany
- Venue
- Engineering in Life Sciences
- Publisher
- Wiley
- Published
- 2023-04-25
- Volume
- 23
- Issue
- 5
- ISSN
- 1618-0240
- 1618-2863
- PMC
- PMC10158623
- Cited by
- 3
- References
- 0
- Language
- en
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