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Metabolic impact assessment for heterologous protein production in Streptomyces lividans based on genome-scale metabolic network modeling.
Lule, Ivan; D'Huys, Pieter-Jan; Van Mellaert, Lieve; Anné, Jozef; Bernaerts, Kristel; Van Impe, Jan.
Afiliação
  • Lule I; Chemical and Biochemical Process Technology and Control Section (BioTeC), Department of Chemical Engineering, Katholieke Universiteit Leuven, Willem de Croylaan 46, 3001 Leuven, Belgium.
Math Biosci ; 246(1): 113-21, 2013 Nov.
Article em En | MEDLINE | ID: mdl-24041624
The metabolic impact exerted on a microorganism due to heterologous protein production is still poorly understood in Streptomyces lividans. In this present paper, based on exometabolomic data, a proposed genome-scale metabolic network model is used to assess this metabolic impact in S. lividans. Constraint-based modeling results obtained in this work revealed that the metabolic impact due to heterologous protein production is widely distributed in the genome of S. lividans, causing both slow substrate assimilation and a shift in active pathways. Exchange fluxes that are critical for model performance have been identified for metabolites of mouse tumor necrosis factor, histidine, valine and lysine, as well as biomass. Our results unravel the interaction of heterologous protein production with intracellular metabolism of S. lividans, thus, a possible basis for further studies in relieving the metabolic burden via metabolic or bioprocess engineering.
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Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Fator de Necrose Tumoral alfa / Genoma / Streptomyces lividans / Redes e Vias Metabólicas / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Math Biosci Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Fator de Necrose Tumoral alfa / Genoma / Streptomyces lividans / Redes e Vias Metabólicas / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: Math Biosci Ano de publicação: 2013 Tipo de documento: Article País de afiliação: Bélgica