Mathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells
| Title | Mathematical model of the multi-amino acid multi-transporter system predicts uptake flux in CHO cells |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Authors | Sreejan, A, Gadgil, M, Gadgil, CJ |
| Journal | Journal of Biotechnology |
| Volume | 344 |
| Pagination | 40-49 |
| Date Published | JAN |
| Type of Article | Article |
| ISSN | 0168-1656 |
| Keywords | Amino acid transport, CHO cell, Exchanger, mathematical model, Multiple transporters |
| Abstract | Supply and uptake of amino acids is of great importance to mammalian cell culture processes. Mammalian cells such as Chinese hamster ovary (CHO) cells express several amino acid (AA) transporters including uniporters and exchangers. Each transporter transports multiple AAs, making prediction of the effect of changed medium composition or transporter levels on individual AA transport rate challenging. A general kinetic model for such combinatorial amino acid transport, and a simplified analytical expression for the uptake rate as a function of amino acid concentrations and transporter levels is presented. From this general model, a CHO cell-specific AA transport model, to our knowledge the first such network model for any cell type, is constructed. The model is validated by its prediction of reported uptake flux and dependencies from experiments that were not used in model construction or parameter estimation. The model defines theoretical conditions for synergistic/repressive effect on the uptake rates of other AAs upon external addition of one AA. The ability of the CHO-specific model to predict amino acid interdependencies experimentally observed in other mammalian cell types suggests its robustness. This model will help formulate testable hypotheses of the effect of process changes on AA initial uptake, and serve as the AA transport component of kinetic models for cellular metabolism. |
| DOI | 10.1016/j.jbiotec.2021.12.003 |
| Type of Journal (Indian or Foreign) | Foreign |
| Impact Factor (IF) | 3.307 |
Divison category:
Chemical Engineering & Process Development
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