A genome-scale dynamic constraint-based modelling (gDCBM) framework predicts growth dynamics, medium composition and intracellular flux distributions in CHO clonal variations.

Yasemi, Mohammadreza; Jolicoeur, Mario

Yasemi, Mohammadreza; Jolicoeur, Mario.

Afiliação

Yasemi M; Research Laboratory in Applied Metabolic Engineering, Department of Chemical Engineering, Polytechnique Montréal, P.O. Box 6079, Centre-ville Station, Montréal, Québec, H3C 3A7, Canada. Electronic address: mohammadreza.yasemi@polymtl.ca.
Jolicoeur M; Research Laboratory in Applied Metabolic Engineering, Department of Chemical Engineering, Polytechnique Montréal, P.O. Box 6079, Centre-ville Station, Montréal, Québec, H3C 3A7, Canada. Electronic address: mario.jolicoeur@polymtl.com.

Metab Eng ; 78: 209-222, 2023 07.

Article em En | MEDLINE | ID: mdl-37348809

Assuntos

Modelos Biológicos; Modelos Teóricos; Cricetinae; Animais; Células CHO; Cricetulus; Redes e Vias Metabólicas/genética; Células Clonais

Palavras-chave

Chinese hamster ovary; Flux distribution; Genome-scale dynamic constraint-based modelling; Mammalian cell culture; Mathematical modelling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Biológicos / Modelos Teóricos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Metab Eng Assunto da revista: ENGENHARIA BIOMEDICA / METABOLISMO Ano de publicação: 2023 Tipo de documento: Article

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