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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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Publisher copy:
10.1016/j.ymben.2026.01.001

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Brasenose College
Role:
Author
ORCID:
0000-0002-1936-1223
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-0480-3658
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


More from this funder
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:
1096-7184
ISSN:
1096-7176
Pmid:
41490843


Language:
English
Keywords:
Pubs id:
2356015
UUID:
uuid_65b6509d-213c-42f8-8ea6-9e511456fb2c
Local pid:
pubs:2356015
Deposit date:
2026-01-08
ARK identifier:

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