Journal article
Proteome constrained metabolic modeling of Sus scrofa muscle stem cells for cultured meat production
- Abstract:
- Cultured meat has recently emerged as a sustainable alternative to traditional livestock farming and gained attention as a promising future protein source. Herein, the Sus scrofa muscle stem cell is a commonly used cell source in the cell proliferation step of cultured meat production. However, a major bottleneck of large-scale cultivation is the inhibition by secreted and accumulated lactate and ammonium in the process of S. scrofa cell proliferation. To simulate the growth and metabolism of S. scrofa muscle stem cells under different lactate and ammonium concentrations, this study constructed the first proteome constrained metabolic model for the core metabolism of S. scrofa muscle stem cells, pcPigMNet 2025. The relationship of lactate and ammonium levels with cellular metabolism was derived from growth and metabolomics data of two culture conditions with low and high initial ammonium concentrations, and then incorporated into metabolic flux simulation. Metabolic flux simulations for experimental conditions, along with perturbation simulations considering stressed non-growth associated maintenance and oxygen supply, demonstrated that pcPigMNet2025 could effectively characterize the response of the S. scrofa muscle stem cell's growth and metabolism to varying environmental conditions, shedding light on model-aided control and optimization of the cultured meat production process.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1016/j.ymben.2026.01.001
Authors
+ Biotechnology and Biological Sciences Research Council
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- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- BB/Y007859/1
- Publisher:
- Elsevier
- Journal:
- Metabolic Engineering More from this journal
- Volume:
- 94
- Pages:
- 252-263
- Place of publication:
- Belgium
- Publication date:
- 2026-01-03
- Acceptance date:
- 2026-01-02
- DOI:
- EISSN:
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1096-7184
- ISSN:
-
1096-7176
- Pmid:
-
41490843
- Language:
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English
- Keywords:
- Pubs id:
-
2356015
- UUID:
-
uuid_65b6509d-213c-42f8-8ea6-9e511456fb2c
- Local pid:
-
pubs:2356015
- Deposit date:
-
2026-01-08
- ARK identifier:
Terms of use
- Copyright holder:
- Qiu et al.
- Copyright date:
- 2026
- Rights statement:
- © 2026 Published by Elsevier Inc. on behalf of International Metabolic Engineering Society.
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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