Literature DB >> 31418052

Systems biology approach in the formulation of chemically defined media for recombinant protein overproduction.

Iman Shahidi Pour Savizi1, Tooba Soudi1, Seyed Abbas Shojaosadati2.   

Abstract

The cell culture medium is an intricate mixture of components which has a tremendous effect on cell growth and recombinant protein production. Regular cell culture medium includes various components, and the decision about which component should be included in the formulation and its optimum amount is an underlying issue in biotechnology industries. Applying conventional techniques to design an optimal medium for the production of a recombinant protein requires meticulous and immense research. Moreover, since the medium formulation for the production of one protein could not be the best choice for another protein, hence, the most suitable media should be determined for each recombinant cell line. Accordingly, medium formulation becomes a laborious, time-consuming, and costly process in biomanufacturing of recombinant protein, and finding alternative strategies for medium development seems to be crucial. In silico modeling is an attractive concept to be adapted for medium formulation due to its high potential to supersede laboratory examinations. By emerging the high-throughput datasets, scientists can disclose the knowledge about the effect of medium components on cell growth and metabolism, and via applying this information through systems biology approach, medium formulation optimization could be accomplished in silico with no need of significant amount of experimentation. This review demonstrates some of the applications of systems biology as a powerful tool for medium development and illustrates the effect of medium optimization with system-level analysis on the production of recombinant proteins in different host cells.

Keywords:  Medium formulation; Recombinant protein production; System biology

Mesh:

Substances:

Year:  2019        PMID: 31418052     DOI: 10.1007/s00253-019-10048-1

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  6 in total

1.  Fatty acids promote the expansion of NK-92 cells in vitro by improving energy metabolism.

Authors:  Zhepei Xie; Yan Fu; Wen-Song Tan; Haibo Cai
Journal:  Appl Microbiol Biotechnol       Date:  2021-05-15       Impact factor: 4.813

2.  Development of a defined medium for Corynebacterium glutamicum using urea as nitrogen source.

Authors:  Peng Yang; Yanan Chen; An-Dong Gong
Journal:  3 Biotech       Date:  2021-08-10       Impact factor: 2.893

3.  Valine feeding reduces ammonia production through rearrangement of metabolic fluxes in central carbon metabolism of CHO cells.

Authors:  Iman Shahidi Pour Savizi; Nader Maghsoudi; Ehsan Motamedian; Nathan E Lewis; Seyed Abbas Shojaosadati
Journal:  Appl Microbiol Biotechnol       Date:  2022-01-19       Impact factor: 4.813

Review 4.  Computer-Aided Strategies for Determining the Amino Acid Composition of Medium for Chinese Hamster Ovary Cell-Based Biomanufacturing Platforms.

Authors:  Bergthor Traustason; Matthew Cheeks; Duygu Dikicioglu
Journal:  Int J Mol Sci       Date:  2019-11-02       Impact factor: 5.923

5.  Model-assisted DoE software: optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses.

Authors:  André Moser; Kim B Kuchemüller; Sahar Deppe; Tanja Hernández Rodríguez; Björn Frahm; Ralf Pörtner; Volker C Hass; Johannes Möller
Journal:  Bioprocess Biosyst Eng       Date:  2021-01-20       Impact factor: 3.210

6.  Population balance modelling captures host cell protein dynamics in CHO cell cultures.

Authors:  Sakhr Alhuthali; Cleo Kontoravdi
Journal:  PLoS One       Date:  2022-03-23       Impact factor: 3.240

  6 in total

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