کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6451966 1416984 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Poly-pathway model, a novel approach to simulate multiple metabolic states by reaction network-based model - Application to amino acid depletion in CHO cell culture
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
Poly-pathway model, a novel approach to simulate multiple metabolic states by reaction network-based model - Application to amino acid depletion in CHO cell culture
چکیده انگلیسی


- A method for modeling multiple states in one model, named poly-pathway, is proposed.
- The macroscopic model is based on elementary flux modes and generalized kinetics.
- CHO cells were cultured under varied amino acid availability.
- Distinct metabolic states were obtained.
- A single model simulates observed variations in growth and metabolic rates.

Mammalian cell lines are characterized by a complex and flexible metabolism. A single model that could describe the variations in metabolic behavior triggered by variations in the culture conditions would be a precious tool in bioprocess development. In this paper, we introduce an approach to generate a poly-pathway model and use it to simulate diverse metabolic states triggered in response to removal, reduction or doubling of amino acids in the culture medium of an antibody-producing CHO cell line. Macro-reactions were obtained from a metabolic network via elementary flux mode enumeration and the fluxes were modeled by kinetic equations with saturation and inhibition effects from external medium components. Importantly, one set of kinetic parameters was estimated using experimental data of the multiple metabolic states. A good fit between the model and the data was obtained for the majority of the metabolites and the experimentally observed flux variations. We find that the poly-pathway modeling approach is promising for the simulation of multiple metabolic states.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Biotechnology - Volume 259, 10 October 2017, Pages 235-247
نویسندگان
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